{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.bar(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a scatter plot chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.scatter(monthList, salesData, label='shampoo Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.bar(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize soap sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a line chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize toothpaste sales data of each month with a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Show shampoo sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a pie chart chart for toothpaste sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['toothpaste'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('toothpaste Sales data')\nplt.show()"}
{"prompt": "Create a histogram chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a line chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read facewash sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize shampoo sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a histogram chart for facewash sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.scatter(monthList, salesData, label='facewash Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Visualize facewash sales data of each month with a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a pie chart chart for shampoo sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['soap'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('soap Sales data')\nplt.show()"}
{"prompt": "Visualize moisturizer sales data of each month with a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.bar(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show toothpaste sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show soap sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.plot(monthList, salesData, label='soap Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a bar chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.bar(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show facewash sales data of each month using a pie chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Create a bar chart chart for soap sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['facewash'].tolist()\nplt.plot(monthList, salesData, label='facewash Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('facewash Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a histogram chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['shampoo'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('shampoo Sales data')\nplt.show()"}
{"prompt": "Read moisturizer sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read soap sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read soap sales data and plot a bar chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.bar(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Create a scatter plot chart for moisturizer sales data of each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.scatter(monthList, salesData, label='moisturizer Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read facewash sales data of each month and show it using a histogram.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['facewash'].tolist()\nplt.hist(salesData, bins=5, edgecolor='black')\nplt.xlabel('Sales Data')\nplt.ylabel('Frequency')\nplt.title('facewash Sales data')\nplt.show()"}
{"prompt": "Read soap sales data and plot a scatter plot chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['soap'].tolist()\nplt.scatter(monthList, salesData, label='soap Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('soap Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read toothpaste sales data of each month and show it using a scatter plot.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['toothpaste'].tolist()\nplt.scatter(monthList, salesData, label='toothpaste Sales data')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('toothpaste Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Show moisturizer sales data of each month using a line chart.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['moisturizer'].tolist()\nplt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('moisturizer Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}
{"prompt": "Read moisturizer sales data and plot a pie chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nsalesData = df['moisturizer'].tolist()\nmonthList = df['month_number'].tolist()\nplt.pie(salesData, labels=monthList, autopct='%1.1f%%')\nplt.title('moisturizer Sales data')\nplt.show()"}
{"prompt": "Read shampoo sales data and plot a line chart chart for each month.", "completion": "import pandas as pd\nimport matplotlib.pyplot as plt\n\nmonthList = df['month_number'].tolist()\nsalesData = df['shampoo'].tolist()\nplt.plot(monthList, salesData, label='shampoo Sales data', marker='o')\nplt.xlabel('Month Number')\nplt.ylabel('Number of units Sold')\nplt.legend(loc='upper left')\nplt.title('shampoo Sales data')\nplt.xticks(monthList)\nplt.grid(True, linewidth=1, linestyle=\"--\")\nplt.show()"}