prompt stringclasses 125
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values |
|---|---|
Show moisturizer sales data of each month using a scatter plot. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.scatter(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales da... |
Show shampoo sales data of each month using a line chart. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data'... |
Show toothpaste sales data of each month using a line chart. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.plot(monthList, salesData, label='toothpaste Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sa... |
Visualize facewash sales data of each month with a pie chart. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['facewash'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('facewash Sales data')
plt.show() |
Visualize soap sales data of each month with a line chart. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.plot(monthList, salesData, label='soap Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xti... |
Visualize facewash sales data of each month with a histogram. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['facewash'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('facewash Sales data')
plt.show() |
Visualize toothpaste sales data of each month with a histogram. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['toothpaste'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('toothpaste Sales data')
plt.show() |
Create a histogram chart for shampoo sales data of each month. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['shampoo'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('shampoo Sales data')
plt.show() |
Visualize moisturizer sales data of each month with a bar chart. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.bar(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')... |
Visualize toothpaste sales data of each month with a bar chart. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.bar(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
pl... |
Visualize shampoo sales data of each month with a histogram. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['shampoo'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('shampoo Sales data')
plt.show() |
Read moisturizer sales data and plot a pie chart chart for each month. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['moisturizer'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('moisturizer Sales data')
plt.show() |
Create a histogram chart for toothpaste sales data of each month. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['toothpaste'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('toothpaste Sales data')
plt.show() |
Visualize toothpaste sales data of each month with a scatter plot. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data'... |
Show toothpaste sales data of each month using a scatter plot. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data'... |
Visualize toothpaste sales data of each month with a histogram. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['toothpaste'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('toothpaste Sales data')
plt.show() |
Visualize moisturizer sales data of each month with a line chart. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer... |
Create a pie chart chart for soap sales data of each month. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show() |
Create a histogram chart for facewash sales data of each month. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['facewash'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('facewash Sales data')
plt.show() |
Show moisturizer sales data of each month using a pie chart. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['moisturizer'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('moisturizer Sales data')
plt.show() |
Read soap sales data and plot a bar chart chart for each month. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.bar(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList... |
Show shampoo sales data of each month using a pie chart. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['shampoo'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('shampoo Sales data')
plt.show() |
Create a histogram chart for toothpaste sales data of each month. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['toothpaste'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('toothpaste Sales data')
plt.show() |
Create a histogram chart for soap sales data of each month. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['soap'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('soap Sales data')
plt.show() |
Read toothpaste sales data and plot a histogram chart for each month. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['toothpaste'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('toothpaste Sales data')
plt.show() |
Read toothpaste sales data and plot a scatter plot chart for each month. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data'... |
Read shampoo sales data and plot a bar chart chart for each month. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.bar(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(... |
Create a pie chart chart for soap sales data of each month. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show() |
Read shampoo sales data and plot a histogram chart for each month. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['shampoo'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('shampoo Sales data')
plt.show() |
Read toothpaste sales data of each month and show it using a scatter plot. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data'... |
Create a line chart chart for moisturizer sales data of each month. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer... |
Create a line chart chart for facewash sales data of each month. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.plot(monthList, salesData, label='facewash Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales da... |
Read moisturizer sales data and plot a line chart chart for each month. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer... |
Read soap sales data and plot a bar chart chart for each month. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.bar(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList... |
Visualize moisturizer sales data of each month with a line chart. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer... |
Visualize soap sales data of each month with a line chart. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.plot(monthList, salesData, label='soap Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xti... |
Read facewash sales data and plot a bar chart chart for each month. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.bar(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xtic... |
Show shampoo sales data of each month using a scatter plot. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.scatter(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xti... |
Read toothpaste sales data of each month and show it using a scatter plot. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data'... |
Read soap sales data and plot a histogram chart for each month. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['soap'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('soap Sales data')
plt.show() |
Visualize soap sales data of each month with a pie chart. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show() |
Read moisturizer sales data and plot a pie chart chart for each month. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['moisturizer'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('moisturizer Sales data')
plt.show() |
Show moisturizer sales data of each month using a bar chart. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.bar(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')... |
Read moisturizer sales data of each month and show it using a line chart. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer... |
Read moisturizer sales data and plot a scatter plot chart for each month. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.scatter(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales da... |
Read shampoo sales data of each month and show it using a line chart. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data'... |
Read shampoo sales data and plot a bar chart chart for each month. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.bar(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(... |
Show shampoo sales data of each month using a bar chart. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.bar(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xticks(... |
Visualize soap sales data of each month with a line chart. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.plot(monthList, salesData, label='soap Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xti... |
Show shampoo sales data of each month using a pie chart. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['shampoo'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('shampoo Sales data')
plt.show() |
Create a histogram chart for soap sales data of each month. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['soap'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('soap Sales data')
plt.show() |
Show shampoo sales data of each month using a line chart. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data'... |
Read facewash sales data of each month and show it using a pie chart. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['facewash'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('facewash Sales data')
plt.show() |
Show toothpaste sales data of each month using a scatter plot. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data'... |
Read toothpaste sales data of each month and show it using a pie chart. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['toothpaste'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('toothpaste Sales data')
plt.show() |
Create a line chart chart for moisturizer sales data of each month. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer... |
Visualize soap sales data of each month with a pie chart. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show() |
Show moisturizer sales data of each month using a histogram. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['moisturizer'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('moisturizer Sales data')
plt.show() |
Show facewash sales data of each month using a bar chart. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.bar(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xtic... |
Visualize facewash sales data of each month with a scatter plot. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.scatter(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.... |
Read toothpaste sales data of each month and show it using a bar chart. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.bar(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
pl... |
Read shampoo sales data of each month and show it using a scatter plot. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.scatter(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xti... |
Create a scatter plot chart for soap sales data of each month. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.scatter(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(month... |
Show facewash sales data of each month using a bar chart. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.bar(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xtic... |
Read moisturizer sales data and plot a bar chart chart for each month. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.bar(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')... |
Create a bar chart chart for soap sales data of each month. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.bar(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList... |
Visualize shampoo sales data of each month with a pie chart. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['shampoo'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('shampoo Sales data')
plt.show() |
Read shampoo sales data and plot a line chart chart for each month. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data'... |
Visualize toothpaste sales data of each month with a bar chart. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.bar(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
pl... |
Visualize toothpaste sales data of each month with a scatter plot. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data'... |
Read facewash sales data of each month and show it using a pie chart. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['facewash'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('facewash Sales data')
plt.show() |
Read shampoo sales data and plot a pie chart chart for each month. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['shampoo'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('shampoo Sales data')
plt.show() |
Read shampoo sales data and plot a histogram chart for each month. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['shampoo'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('shampoo Sales data')
plt.show() |
Create a pie chart chart for moisturizer sales data of each month. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['moisturizer'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('moisturizer Sales data')
plt.show() |
Create a line chart chart for shampoo sales data of each month. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.plot(monthList, salesData, label='shampoo Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data'... |
Visualize toothpaste sales data of each month with a pie chart. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['toothpaste'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('toothpaste Sales data')
plt.show() |
Create a scatter plot chart for moisturizer sales data of each month. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.scatter(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales da... |
Show shampoo sales data of each month using a scatter plot. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.scatter(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xti... |
Read soap sales data and plot a bar chart chart for each month. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.bar(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(monthList... |
Read toothpaste sales data of each month and show it using a bar chart. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.bar(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
pl... |
Visualize soap sales data of each month with a pie chart. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show() |
Show toothpaste sales data of each month using a bar chart. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.bar(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data')
pl... |
Read toothpaste sales data of each month and show it using a scatter plot. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data'... |
Read toothpaste sales data and plot a scatter plot chart for each month. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data'... |
Create a bar chart chart for facewash sales data of each month. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.bar(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xtic... |
Visualize soap sales data of each month with a pie chart. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show() |
Create a histogram chart for soap sales data of each month. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['soap'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('soap Sales data')
plt.show() |
Visualize moisturizer sales data of each month with a pie chart. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['moisturizer'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('moisturizer Sales data')
plt.show() |
Read toothpaste sales data of each month and show it using a scatter plot. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['toothpaste'].tolist()
plt.scatter(monthList, salesData, label='toothpaste Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('toothpaste Sales data'... |
Visualize shampoo sales data of each month with a scatter plot. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.scatter(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xti... |
Create a line chart chart for moisturizer sales data of each month. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer... |
Visualize moisturizer sales data of each month with a bar chart. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.bar(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales data')... |
Read moisturizer sales data of each month and show it using a line chart. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.plot(monthList, salesData, label='moisturizer Sales data', marker='o')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer... |
Read shampoo sales data and plot a scatter plot chart for each month. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.scatter(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xti... |
Visualize moisturizer sales data of each month with a scatter plot. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['moisturizer'].tolist()
plt.scatter(monthList, salesData, label='moisturizer Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('moisturizer Sales da... |
Read facewash sales data and plot a bar chart chart for each month. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['facewash'].tolist()
plt.bar(monthList, salesData, label='facewash Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('facewash Sales data')
plt.xtic... |
Read facewash sales data and plot a histogram chart for each month. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['facewash'].tolist()
plt.hist(salesData, bins=5, edgecolor='black')
plt.xlabel('Sales Data')
plt.ylabel('Frequency')
plt.title('facewash Sales data')
plt.show() |
Create a pie chart chart for soap sales data of each month. | import pandas as pd
import matplotlib.pyplot as plt
salesData = df['soap'].tolist()
monthList = df['month_number'].tolist()
plt.pie(salesData, labels=monthList, autopct='%1.1f%%')
plt.title('soap Sales data')
plt.show() |
Show shampoo sales data of each month using a scatter plot. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['shampoo'].tolist()
plt.scatter(monthList, salesData, label='shampoo Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('shampoo Sales data')
plt.xti... |
Show soap sales data of each month using a scatter plot. | import pandas as pd
import matplotlib.pyplot as plt
monthList = df['month_number'].tolist()
salesData = df['soap'].tolist()
plt.scatter(monthList, salesData, label='soap Sales data')
plt.xlabel('Month Number')
plt.ylabel('Number of units Sold')
plt.legend(loc='upper left')
plt.title('soap Sales data')
plt.xticks(month... |
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