prompt stringlengths 180 1.49k | completion stringclasses 860
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movie <head> movie_id,Title,Year,Director,Budget_million,Gross_worldwide <type> quantitative,nominal,temporal,nominal,quantitative,quantitative <data> 1,The Boondock Saints,1999,Troy Duffy,6.0,30471 <line> 2,The Big Kahuna,1999,John Swanbeck,7.0,3728888 <line> <utterance> How many films did directors work on in 1999 o... | count Director |
movie <head> movie_id,Title,Year,Director,Budget_million,Gross_worldwide <type> quantitative,nominal,temporal,nominal,quantitative,quantitative <data> 1,The Boondock Saints,1999,Troy Duffy,6.0,30471 <line> 2,The Big Kahuna,1999,John Swanbeck,7.0,3728888 <line> <utterance> How many films did directors work on in 1999 o... | bar |
movie <head> movie_id,Title,Year,Director,Budget_million,Gross_worldwide <type> quantitative,nominal,temporal,nominal,quantitative,quantitative <data> 1,The Boondock Saints,1999,Troy Duffy,6.0,30471 <line> 2,The Big Kahuna,1999,John Swanbeck,7.0,3728888 <line> <utterance> How many films did directors work on in 1999 o... | x=Director,y=count Director,color=none |
movie <head> movie_id,Title,Year,Director,Budget_million,Gross_worldwide <type> quantitative,nominal,temporal,nominal,quantitative,quantitative <data> 1,The Boondock Saints,1999,Troy Duffy,6.0,30471 <line> 2,The Big Kahuna,1999,John Swanbeck,7.0,3728888 <line> <utterance> How many films did directors work on in 1999 o... | none |
movie <head> movie_id,Title,Year,Director,Budget_million,Gross_worldwide <type> quantitative,nominal,temporal,nominal,quantitative,quantitative <data> 1,The Boondock Saints,1999,Troy Duffy,6.0,30471 <line> 2,The Big Kahuna,1999,John Swanbeck,7.0,3728888 <line> <utterance> Show all director names who have a movie in th... | Director |
movie <head> movie_id,Title,Year,Director,Budget_million,Gross_worldwide <type> quantitative,nominal,temporal,nominal,quantitative,quantitative <data> 1,The Boondock Saints,1999,Troy Duffy,6.0,30471 <line> 2,The Big Kahuna,1999,John Swanbeck,7.0,3728888 <line> <utterance> Show all director names who have a movie in th... | Year = 1999 or Year = 2000 |
movie <head> movie_id,Title,Year,Director,Budget_million,Gross_worldwide <type> quantitative,nominal,temporal,nominal,quantitative,quantitative <data> 1,The Boondock Saints,1999,Troy Duffy,6.0,30471 <line> 2,The Big Kahuna,1999,John Swanbeck,7.0,3728888 <line> <utterance> Show all director names who have a movie in th... | count Director |
movie <head> movie_id,Title,Year,Director,Budget_million,Gross_worldwide <type> quantitative,nominal,temporal,nominal,quantitative,quantitative <data> 1,The Boondock Saints,1999,Troy Duffy,6.0,30471 <line> 2,The Big Kahuna,1999,John Swanbeck,7.0,3728888 <line> <utterance> Show all director names who have a movie in th... | bar |
movie <head> movie_id,Title,Year,Director,Budget_million,Gross_worldwide <type> quantitative,nominal,temporal,nominal,quantitative,quantitative <data> 1,The Boondock Saints,1999,Troy Duffy,6.0,30471 <line> 2,The Big Kahuna,1999,John Swanbeck,7.0,3728888 <line> <utterance> Show all director names who have a movie in th... | x=Director,y=count Director,color=none |
movie <head> movie_id,Title,Year,Director,Budget_million,Gross_worldwide <type> quantitative,nominal,temporal,nominal,quantitative,quantitative <data> 1,The Boondock Saints,1999,Troy Duffy,6.0,30471 <line> 2,The Big Kahuna,1999,John Swanbeck,7.0,3728888 <line> <utterance> Show all director names who have a movie in th... | none |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Display the code and price relationship for items priced between 60 and 120. <ans> <sep> Step 1. Select the columns: | Code,Price |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Display the code and price relationship for items priced between 60 and 120. <ans> <sep> Step 1. Select the columns: Code,Price <sep> Step 2. Filter th... | Price gte 60 and Price lte 120 |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Display the code and price relationship for items priced between 60 and 120. <ans> <sep> Step 1. Select the columns: Code,Price <sep> Step 2. Filter th... | none |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Display the code and price relationship for items priced between 60 and 120. <ans> <sep> Step 1. Select the columns: Code,Price <sep> Step 2. Filter th... | point |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Display the code and price relationship for items priced between 60 and 120. <ans> <sep> Step 1. Select the columns: Code,Price <sep> Step 2. Filter th... | x=Code,y=Price,color=none |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Display the code and price relationship for items priced between 60 and 120. <ans> <sep> Step 1. Select the columns: Code,Price <sep> Step 2. Filter th... | none |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> For those products with a price between 60 and 120, draw a scatter chart about the correlation between code and price. <ans> <sep> Step 1. Select the co... | Code,Price |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> For those products with a price between 60 and 120, draw a scatter chart about the correlation between code and price. <ans> <sep> Step 1. Select the co... | Price gte 60 and Price lte 120 |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> For those products with a price between 60 and 120, draw a scatter chart about the correlation between code and price. <ans> <sep> Step 1. Select the co... | none |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> For those products with a price between 60 and 120, draw a scatter chart about the correlation between code and price. <ans> <sep> Step 1. Select the co... | point |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> For those products with a price between 60 and 120, draw a scatter chart about the correlation between code and price. <ans> <sep> Step 1. Select the co... | x=Code,y=Price,color=none |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> For those products with a price between 60 and 120, draw a scatter chart about the correlation between code and price. <ans> <sep> Step 1. Select the co... | none |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Can you show me the prices of the cheapest products? <ans> <sep> Step 1. Select the columns: | Name,Price |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Can you show me the prices of the cheapest products? <ans> <sep> Step 1. Select the columns: Name,Price <sep> Step 2. Filter the data: | none |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Can you show me the prices of the cheapest products? <ans> <sep> Step 1. Select the columns: Name,Price <sep> Step 2. Filter the data: none <sep> Step 3... | min Price |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Can you show me the prices of the cheapest products? <ans> <sep> Step 1. Select the columns: Name,Price <sep> Step 2. Filter the data: none <sep> Step 3... | bar |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Can you show me the prices of the cheapest products? <ans> <sep> Step 1. Select the columns: Name,Price <sep> Step 2. Filter the data: none <sep> Step 3... | x=Name,y=min Price,color=none |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Can you show me the prices of the cheapest products? <ans> <sep> Step 1. Select the columns: Name,Price <sep> Step 2. Filter the data: none <sep> Step 3... | none |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> What are the names of the cheapest products in each category along with the cheapest price in a bar chart? Rank in descending by the Y, please. <ans> <s... | Name,Price |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> What are the names of the cheapest products in each category along with the cheapest price in a bar chart? Rank in descending by the Y, please. <ans> <s... | none |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> What are the names of the cheapest products in each category along with the cheapest price in a bar chart? Rank in descending by the Y, please. <ans> <s... | min Price |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> What are the names of the cheapest products in each category along with the cheapest price in a bar chart? Rank in descending by the Y, please. <ans> <s... | bar |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> What are the names of the cheapest products in each category along with the cheapest price in a bar chart? Rank in descending by the Y, please. <ans> <s... | x=Name,y=min Price,color=none |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> What are the names of the cheapest products in each category along with the cheapest price in a bar chart? Rank in descending by the Y, please. <ans> <s... | y desc |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Generate a graph of products with prices over 1000 or under 500. <ans> <sep> Step 1. Select the col... | product_name |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Generate a graph of products with prices over 1000 or under 500. <ans> <sep> Step 1. Select the col... | product_price gt 1000 or product_price lt 500 |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Generate a graph of products with prices over 1000 or under 500. <ans> <sep> Step 1. Select the col... | count product_name |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Generate a graph of products with prices over 1000 or under 500. <ans> <sep> Step 1. Select the col... | bar |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Generate a graph of products with prices over 1000 or under 500. <ans> <sep> Step 1. Select the col... | x=product_name,y=count product_name,color=none |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Generate a graph of products with prices over 1000 or under 500. <ans> <sep> Step 1. Select the col... | none |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Show the number of products with a price higher than 1000 or lower than 500 for each product name in... | product_name |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Show the number of products with a price higher than 1000 or lower than 500 for each product name in... | product_price gt 1000 or product_price lt 500 |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Show the number of products with a price higher than 1000 or lower than 500 for each product name in... | count product_name |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Show the number of products with a price higher than 1000 or lower than 500 for each product name in... | bar |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Show the number of products with a price higher than 1000 or lower than 500 for each product name in... | x=product_name,y=count product_name,color=none |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Show the number of products with a price higher than 1000 or lower than 500 for each product name in... | none |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Can you show me the total cost of each product type? <ans> <sep> Step 1. Select the columns: | Name,Price |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Can you show me the total cost of each product type? <ans> <sep> Step 1. Select the columns: Name,Price <sep> Step 2. Filter the data: | none |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Can you show me the total cost of each product type? <ans> <sep> Step 1. Select the columns: Name,Price <sep> Step 2. Filter the data: none <sep> Step 3... | sum Price |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Can you show me the total cost of each product type? <ans> <sep> Step 1. Select the columns: Name,Price <sep> Step 2. Filter the data: none <sep> Step 3... | bar |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Can you show me the total cost of each product type? <ans> <sep> Step 1. Select the columns: Name,Price <sep> Step 2. Filter the data: none <sep> Step 3... | x=Name,y=sum Price,color=none |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Can you show me the total cost of each product type? <ans> <sep> Step 1. Select the columns: Name,Price <sep> Step 2. Filter the data: none <sep> Step 3... | none |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Give me a bar chart for the sum price of each name, I want to display it by the x-axis in desc. <ans> <sep> Step 1. Select the columns: | Name,Price |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Give me a bar chart for the sum price of each name, I want to display it by the x-axis in desc. <ans> <sep> Step 1. Select the columns: Name,Price <sep>... | none |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Give me a bar chart for the sum price of each name, I want to display it by the x-axis in desc. <ans> <sep> Step 1. Select the columns: Name,Price <sep>... | sum Price |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Give me a bar chart for the sum price of each name, I want to display it by the x-axis in desc. <ans> <sep> Step 1. Select the columns: Name,Price <sep>... | bar |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Give me a bar chart for the sum price of each name, I want to display it by the x-axis in desc. <ans> <sep> Step 1. Select the columns: Name,Price <sep>... | x=Name,y=sum Price,color=none |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Give me a bar chart for the sum price of each name, I want to display it by the x-axis in desc. <ans> <sep> Step 1. Select the columns: Name,Price <sep>... | x desc |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Clothes,red jeans,734.73 <line> 2,Clothes,yellow jeans,687.23 <line> <utterance> What is the relationship between the least and most expensive product prices by product type? <ans> <sep> S... | product_price,product_type_code |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Clothes,red jeans,734.73 <line> 2,Clothes,yellow jeans,687.23 <line> <utterance> What is the relationship between the least and most expensive product prices by product type? <ans> <sep> S... | none |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Clothes,red jeans,734.73 <line> 2,Clothes,yellow jeans,687.23 <line> <utterance> What is the relationship between the least and most expensive product prices by product type? <ans> <sep> S... | max product_price,min product_price |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Clothes,red jeans,734.73 <line> 2,Clothes,yellow jeans,687.23 <line> <utterance> What is the relationship between the least and most expensive product prices by product type? <ans> <sep> S... | point |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Clothes,red jeans,734.73 <line> 2,Clothes,yellow jeans,687.23 <line> <utterance> What is the relationship between the least and most expensive product prices by product type? <ans> <sep> S... | x=max product_price,y=min product_price,color=product_type_code |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Clothes,red jeans,734.73 <line> 2,Clothes,yellow jeans,687.23 <line> <utterance> What is the relationship between the least and most expensive product prices by product type? <ans> <sep> S... | none |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Clothes,red jeans,734.73 <line> 2,Clothes,yellow jeans,687.23 <line> <utterance> Show the relationship between minimum product price and maximum product price and group by product type code... | product_price,product_type_code |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Clothes,red jeans,734.73 <line> 2,Clothes,yellow jeans,687.23 <line> <utterance> Show the relationship between minimum product price and maximum product price and group by product type code... | none |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Clothes,red jeans,734.73 <line> 2,Clothes,yellow jeans,687.23 <line> <utterance> Show the relationship between minimum product price and maximum product price and group by product type code... | max product_price,min product_price |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Clothes,red jeans,734.73 <line> 2,Clothes,yellow jeans,687.23 <line> <utterance> Show the relationship between minimum product price and maximum product price and group by product type code... | point |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Clothes,red jeans,734.73 <line> 2,Clothes,yellow jeans,687.23 <line> <utterance> Show the relationship between minimum product price and maximum product price and group by product type code... | x=max product_price,y=min product_price,color=product_type_code |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Clothes,red jeans,734.73 <line> 2,Clothes,yellow jeans,687.23 <line> <utterance> Show the relationship between minimum product price and maximum product price and group by product type code... | none |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Create a chart of the products with prices over 1000 or below 500. <ans> <sep> Step 1. Select the c... | product_type_code |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Create a chart of the products with prices over 1000 or below 500. <ans> <sep> Step 1. Select the c... | product_price gt 1000 or product_price lt 500 |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Create a chart of the products with prices over 1000 or below 500. <ans> <sep> Step 1. Select the c... | count product_type_code |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Create a chart of the products with prices over 1000 or below 500. <ans> <sep> Step 1. Select the c... | bar |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Create a chart of the products with prices over 1000 or below 500. <ans> <sep> Step 1. Select the c... | x=product_type_code,y=count product_type_code,color=none |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Create a chart of the products with prices over 1000 or below 500. <ans> <sep> Step 1. Select the c... | none |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Show the number of products with a price higher than 1000 or lower than 500 for each product type co... | product_type_code |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Show the number of products with a price higher than 1000 or lower than 500 for each product type co... | product_price gt 1000 or product_price lt 500 |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Show the number of products with a price higher than 1000 or lower than 500 for each product type co... | count product_type_code |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Show the number of products with a price higher than 1000 or lower than 500 for each product type co... | bar |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Show the number of products with a price higher than 1000 or lower than 500 for each product type co... | x=product_type_code,y=count product_type_code,color=none |
products <head> product_id,product_type_code,product_name,product_price <type> quantitative,nominal,nominal,quantitative <data> 1,Hardware,Apple,54753982.574522 <line> 2,Clothes,jcrew,30590929.528306 <line> <utterance> Show the number of products with a price higher than 1000 or lower than 500 for each product type co... | y desc |
customers <head> customer_id,coupon_id,good_or_bad_customer,first_name,last_name,gender_mf,date_became_customer,date_last_hire <type> quantitative,quantitative,nominal,nominal,nominal,quantitative,temporal,temporal <data> 1,12,good,Geovany,Homenick,0,2017-10-20 12:13:17,2018-02-27 18:55:26 <line> 2,14,good,Jailyn,Gerla... | first_name,gender_mf |
customers <head> customer_id,coupon_id,good_or_bad_customer,first_name,last_name,gender_mf,date_became_customer,date_last_hire <type> quantitative,quantitative,nominal,nominal,nominal,quantitative,temporal,temporal <data> 1,12,good,Geovany,Homenick,0,2017-10-20 12:13:17,2018-02-27 18:55:26 <line> 2,14,good,Jailyn,Gerla... | good_or_bad_customer = 'good' |
customers <head> customer_id,coupon_id,good_or_bad_customer,first_name,last_name,gender_mf,date_became_customer,date_last_hire <type> quantitative,quantitative,nominal,nominal,nominal,quantitative,temporal,temporal <data> 1,12,good,Geovany,Homenick,0,2017-10-20 12:13:17,2018-02-27 18:55:26 <line> 2,14,good,Jailyn,Gerla... | none |
customers <head> customer_id,coupon_id,good_or_bad_customer,first_name,last_name,gender_mf,date_became_customer,date_last_hire <type> quantitative,quantitative,nominal,nominal,nominal,quantitative,temporal,temporal <data> 1,12,good,Geovany,Homenick,0,2017-10-20 12:13:17,2018-02-27 18:55:26 <line> 2,14,good,Jailyn,Gerla... | bar |
customers <head> customer_id,coupon_id,good_or_bad_customer,first_name,last_name,gender_mf,date_became_customer,date_last_hire <type> quantitative,quantitative,nominal,nominal,nominal,quantitative,temporal,temporal <data> 1,12,good,Geovany,Homenick,0,2017-10-20 12:13:17,2018-02-27 18:55:26 <line> 2,14,good,Jailyn,Gerla... | x=first_name,y=gender_mf,color=none |
customers <head> customer_id,coupon_id,good_or_bad_customer,first_name,last_name,gender_mf,date_became_customer,date_last_hire <type> quantitative,quantitative,nominal,nominal,nominal,quantitative,temporal,temporal <data> 1,12,good,Geovany,Homenick,0,2017-10-20 12:13:17,2018-02-27 18:55:26 <line> 2,14,good,Jailyn,Gerla... | none |
customers <head> customer_id,coupon_id,good_or_bad_customer,first_name,last_name,gender_mf,date_became_customer,date_last_hire <type> quantitative,quantitative,nominal,nominal,nominal,quantitative,temporal,temporal <data> 1,12,good,Geovany,Homenick,0,2017-10-20 12:13:17,2018-02-27 18:55:26 <line> 2,14,good,Jailyn,Gerla... | first_name,gender_mf |
customers <head> customer_id,coupon_id,good_or_bad_customer,first_name,last_name,gender_mf,date_became_customer,date_last_hire <type> quantitative,quantitative,nominal,nominal,nominal,quantitative,temporal,temporal <data> 1,12,good,Geovany,Homenick,0,2017-10-20 12:13:17,2018-02-27 18:55:26 <line> 2,14,good,Jailyn,Gerla... | good_or_bad_customer = 'good' |
customers <head> customer_id,coupon_id,good_or_bad_customer,first_name,last_name,gender_mf,date_became_customer,date_last_hire <type> quantitative,quantitative,nominal,nominal,nominal,quantitative,temporal,temporal <data> 1,12,good,Geovany,Homenick,0,2017-10-20 12:13:17,2018-02-27 18:55:26 <line> 2,14,good,Jailyn,Gerla... | none |
customers <head> customer_id,coupon_id,good_or_bad_customer,first_name,last_name,gender_mf,date_became_customer,date_last_hire <type> quantitative,quantitative,nominal,nominal,nominal,quantitative,temporal,temporal <data> 1,12,good,Geovany,Homenick,0,2017-10-20 12:13:17,2018-02-27 18:55:26 <line> 2,14,good,Jailyn,Gerla... | bar |
customers <head> customer_id,coupon_id,good_or_bad_customer,first_name,last_name,gender_mf,date_became_customer,date_last_hire <type> quantitative,quantitative,nominal,nominal,nominal,quantitative,temporal,temporal <data> 1,12,good,Geovany,Homenick,0,2017-10-20 12:13:17,2018-02-27 18:55:26 <line> 2,14,good,Jailyn,Gerla... | x=first_name,y=gender_mf,color=none |
customers <head> customer_id,coupon_id,good_or_bad_customer,first_name,last_name,gender_mf,date_became_customer,date_last_hire <type> quantitative,quantitative,nominal,nominal,nominal,quantitative,temporal,temporal <data> 1,12,good,Geovany,Homenick,0,2017-10-20 12:13:17,2018-02-27 18:55:26 <line> 2,14,good,Jailyn,Gerla... | none |
customers <head> customer_id,payment_method_code,customer_code,customer_name,customer_address,customer_phone,customer_email <type> quantitative,nominal,quantitative,nominal,nominal,nominal,nominal <data> 1,Credit Card,401,Ahmed,"75099 Tremblay Port Apt. 163 <line> South Norrisland, SC 80546",254-072-4068x33935,margaret... | payment_method_code |
customers <head> customer_id,payment_method_code,customer_code,customer_name,customer_address,customer_phone,customer_email <type> quantitative,nominal,quantitative,nominal,nominal,nominal,nominal <data> 1,Credit Card,401,Ahmed,"75099 Tremblay Port Apt. 163 <line> South Norrisland, SC 80546",254-072-4068x33935,margaret... | none |
customers <head> customer_id,payment_method_code,customer_code,customer_name,customer_address,customer_phone,customer_email <type> quantitative,nominal,quantitative,nominal,nominal,nominal,nominal <data> 1,Credit Card,401,Ahmed,"75099 Tremblay Port Apt. 163 <line> South Norrisland, SC 80546",254-072-4068x33935,margaret... | count payment_method_code |
customers <head> customer_id,payment_method_code,customer_code,customer_name,customer_address,customer_phone,customer_email <type> quantitative,nominal,quantitative,nominal,nominal,nominal,nominal <data> 1,Credit Card,401,Ahmed,"75099 Tremblay Port Apt. 163 <line> South Norrisland, SC 80546",254-072-4068x33935,margaret... | bar |
customers <head> customer_id,payment_method_code,customer_code,customer_name,customer_address,customer_phone,customer_email <type> quantitative,nominal,quantitative,nominal,nominal,nominal,nominal <data> 1,Credit Card,401,Ahmed,"75099 Tremblay Port Apt. 163 <line> South Norrisland, SC 80546",254-072-4068x33935,margaret... | x=payment_method_code,y=count payment_method_code,color=none |
customers <head> customer_id,payment_method_code,customer_code,customer_name,customer_address,customer_phone,customer_email <type> quantitative,nominal,quantitative,nominal,nominal,nominal,nominal <data> 1,Credit Card,401,Ahmed,"75099 Tremblay Port Apt. 163 <line> South Norrisland, SC 80546",254-072-4068x33935,margaret... | none |
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