prompt stringlengths 180 1.49k | completion stringclasses 860
values |
|---|---|
member <head> Member_ID,Name,Membership_card,Age,Time_of_purchase,Level_of_membership,Address <type> quantitative,nominal,nominal,quantitative,quantitative,quantitative,nominal <data> 1,"Ashby, Lazale",Black,29,18,5,Hartford <line> 2,"Breton, Robert",White,67,41,4,Waterbury <line> <utterance> Scatter the relationship ... | none |
member <head> Member_ID,Name,Membership_card,Age,Time_of_purchase,Level_of_membership,Address <type> quantitative,nominal,nominal,quantitative,quantitative,quantitative,nominal <data> 1,"Ashby, Lazale",Black,29,18,5,Hartford <line> 2,"Breton, Robert",White,67,41,4,Waterbury <line> <utterance> Scatter the relationship ... | point |
member <head> Member_ID,Name,Membership_card,Age,Time_of_purchase,Level_of_membership,Address <type> quantitative,nominal,nominal,quantitative,quantitative,quantitative,nominal <data> 1,"Ashby, Lazale",Black,29,18,5,Hartford <line> 2,"Breton, Robert",White,67,41,4,Waterbury <line> <utterance> Scatter the relationship ... | x=Time_of_purchase,y=Age,color=Address |
member <head> Member_ID,Name,Membership_card,Age,Time_of_purchase,Level_of_membership,Address <type> quantitative,nominal,nominal,quantitative,quantitative,quantitative,nominal <data> 1,"Ashby, Lazale",Black,29,18,5,Hartford <line> 2,"Breton, Robert",White,67,41,4,Waterbury <line> <utterance> Scatter the relationship ... | none |
Templates <head> Template_ID,Version_Number,Template_Type_Code,Date_Effective_From,Date_Effective_To,Template_Details <type> quantitative,quantitative,nominal,temporal,temporal,nominal <data> 0,5,PP,2005-11-12 07:09:48,2008-01-05 14:19:28, <line> 1,9,PP,2010-09-24 01:15:11,1999-07-08 03:31:04, <line> <utterance> What ... | Template_ID,Version_Number,Template_Type_Code |
Templates <head> Template_ID,Version_Number,Template_Type_Code,Date_Effective_From,Date_Effective_To,Template_Details <type> quantitative,quantitative,nominal,temporal,temporal,nominal <data> 0,5,PP,2005-11-12 07:09:48,2008-01-05 14:19:28, <line> 1,9,PP,2010-09-24 01:15:11,1999-07-08 03:31:04, <line> <utterance> What ... | none |
Templates <head> Template_ID,Version_Number,Template_Type_Code,Date_Effective_From,Date_Effective_To,Template_Details <type> quantitative,quantitative,nominal,temporal,temporal,nominal <data> 0,5,PP,2005-11-12 07:09:48,2008-01-05 14:19:28, <line> 1,9,PP,2010-09-24 01:15:11,1999-07-08 03:31:04, <line> <utterance> What ... | none |
Templates <head> Template_ID,Version_Number,Template_Type_Code,Date_Effective_From,Date_Effective_To,Template_Details <type> quantitative,quantitative,nominal,temporal,temporal,nominal <data> 0,5,PP,2005-11-12 07:09:48,2008-01-05 14:19:28, <line> 1,9,PP,2010-09-24 01:15:11,1999-07-08 03:31:04, <line> <utterance> What ... | point |
Templates <head> Template_ID,Version_Number,Template_Type_Code,Date_Effective_From,Date_Effective_To,Template_Details <type> quantitative,quantitative,nominal,temporal,temporal,nominal <data> 0,5,PP,2005-11-12 07:09:48,2008-01-05 14:19:28, <line> 1,9,PP,2010-09-24 01:15:11,1999-07-08 03:31:04, <line> <utterance> What ... | x=Template_ID,y=Version_Number,color=Template_Type_Code |
Templates <head> Template_ID,Version_Number,Template_Type_Code,Date_Effective_From,Date_Effective_To,Template_Details <type> quantitative,quantitative,nominal,temporal,temporal,nominal <data> 0,5,PP,2005-11-12 07:09:48,2008-01-05 14:19:28, <line> 1,9,PP,2010-09-24 01:15:11,1999-07-08 03:31:04, <line> <utterance> What ... | none |
Templates <head> Template_ID,Version_Number,Template_Type_Code,Date_Effective_From,Date_Effective_To,Template_Details <type> quantitative,quantitative,nominal,temporal,temporal,nominal <data> 0,5,PP,2005-11-12 07:09:48,2008-01-05 14:19:28, <line> 1,9,PP,2010-09-24 01:15:11,1999-07-08 03:31:04, <line> <utterance> Show ... | Template_ID,Version_Number,Template_Type_Code |
Templates <head> Template_ID,Version_Number,Template_Type_Code,Date_Effective_From,Date_Effective_To,Template_Details <type> quantitative,quantitative,nominal,temporal,temporal,nominal <data> 0,5,PP,2005-11-12 07:09:48,2008-01-05 14:19:28, <line> 1,9,PP,2010-09-24 01:15:11,1999-07-08 03:31:04, <line> <utterance> Show ... | none |
Templates <head> Template_ID,Version_Number,Template_Type_Code,Date_Effective_From,Date_Effective_To,Template_Details <type> quantitative,quantitative,nominal,temporal,temporal,nominal <data> 0,5,PP,2005-11-12 07:09:48,2008-01-05 14:19:28, <line> 1,9,PP,2010-09-24 01:15:11,1999-07-08 03:31:04, <line> <utterance> Show ... | none |
Templates <head> Template_ID,Version_Number,Template_Type_Code,Date_Effective_From,Date_Effective_To,Template_Details <type> quantitative,quantitative,nominal,temporal,temporal,nominal <data> 0,5,PP,2005-11-12 07:09:48,2008-01-05 14:19:28, <line> 1,9,PP,2010-09-24 01:15:11,1999-07-08 03:31:04, <line> <utterance> Show ... | point |
Templates <head> Template_ID,Version_Number,Template_Type_Code,Date_Effective_From,Date_Effective_To,Template_Details <type> quantitative,quantitative,nominal,temporal,temporal,nominal <data> 0,5,PP,2005-11-12 07:09:48,2008-01-05 14:19:28, <line> 1,9,PP,2010-09-24 01:15:11,1999-07-08 03:31:04, <line> <utterance> Show ... | x=Template_ID,y=Version_Number,color=Template_Type_Code |
Templates <head> Template_ID,Version_Number,Template_Type_Code,Date_Effective_From,Date_Effective_To,Template_Details <type> quantitative,quantitative,nominal,temporal,temporal,nominal <data> 0,5,PP,2005-11-12 07:09:48,2008-01-05 14:19:28, <line> 1,9,PP,2010-09-24 01:15:11,1999-07-08 03:31:04, <line> <utterance> Show ... | none |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | card_id,card_number,card_type_code |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | none |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | none |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | point |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | x=card_id,y=card_number,color=card_type_code |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | none |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | card_id,card_number,card_type_code |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | none |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | none |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | point |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | x=card_id,y=card_number,color=card_type_code |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | none |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | customer_id,card_number,card_type_code |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | none |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | none |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | point |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | x=customer_id,y=card_number,color=card_type_code |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | none |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | customer_id,card_number,card_type_code |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | none |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | none |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | point |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | x=customer_id,y=card_number,color=card_type_code |
Customers_cards <head> card_id,customer_id,card_type_code,card_number,date_valid_from,date_valid_to,other_card_details <type> quantitative,quantitative,nominal,quantitative,temporal,temporal,quantitative <data> 1,14,Credit,4560596484842,2011-04-17 09:05:28,2018-03-07 17:06:19,5567915676420343 <line> 2,9,Credit,48594483... | 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, visualize a scatter chart about the correlation between code and price, and group by attribute name. ... | Code,Price,Name |
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, visualize a scatter chart about the correlation between code and price, and group by attribute name. ... | 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, visualize a scatter chart about the correlation between code and price, and group by attribute name. ... | 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, visualize a scatter chart about the correlation between code and price, and group by attribute name. ... | 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, visualize a scatter chart about the correlation between code and price, and group by attribute name. ... | x=Code,y=Price,color=Name |
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, visualize a scatter chart about the correlation between code and price, and group by attribute name. ... | 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> Price 60-120, code/price correlation, group by name. <ans> <sep> Step 1. Select the columns: | Code,Price,Name |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Price 60-120, code/price correlation, group by name. <ans> <sep> Step 1. Select the columns: Code,Price,Name <sep> Step 2. Filter the data: | 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> Price 60-120, code/price correlation, group by name. <ans> <sep> Step 1. Select the columns: Code,Price,Name <sep> Step 2. Filter the data: Price gte 60... | 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> Price 60-120, code/price correlation, group by name. <ans> <sep> Step 1. Select the columns: Code,Price,Name <sep> Step 2. Filter the data: Price gte 60... | 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> Price 60-120, code/price correlation, group by name. <ans> <sep> Step 1. Select the columns: Code,Price,Name <sep> Step 2. Filter the data: Price gte 60... | x=Code,y=Price,color=Name |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Price 60-120, code/price correlation, group by name. <ans> <sep> Step 1. Select the columns: Code,Price,Name <sep> Step 2. Filter the data: Price gte 60... | 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, show me about the correlation between code and manufacturer, and group by attribute name in a scatter... | Code,Manufacturer,Name |
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, show me about the correlation between code and manufacturer, and group by attribute name in a scatter... | 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, show me about the correlation between code and manufacturer, and group by attribute name in a scatter... | 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, show me about the correlation between code and manufacturer, and group by attribute name in a scatter... | 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, show me about the correlation between code and manufacturer, and group by attribute name in a scatter... | x=Code,y=Manufacturer,color=Name |
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, show me about the correlation between code and manufacturer, and group by attribute name in a scatter... | 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 a scatter chart of the correlation between code and manufacturer grouped by product name, for the items with prices between 60 and 120? <... | Code,Manufacturer,Name |
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 a scatter chart of the correlation between code and manufacturer grouped by product name, for the items with prices between 60 and 120? <... | 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> Can you show me a scatter chart of the correlation between code and manufacturer grouped by product name, for the items with prices between 60 and 120? <... | 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 a scatter chart of the correlation between code and manufacturer grouped by product name, for the items with prices between 60 and 120? <... | 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> Can you show me a scatter chart of the correlation between code and manufacturer grouped by product name, for the items with prices between 60 and 120? <... | x=Code,y=Manufacturer,color=Name |
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 a scatter chart of the correlation between code and manufacturer grouped by product name, for the items with prices between 60 and 120? <... | 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, visualize the relationship between price and manufacturer, and group by attribute name. <ans> <sep> ... | Price,Manufacturer,Name |
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, visualize the relationship between price and manufacturer, and group by attribute name. <ans> <sep> ... | 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, visualize the relationship between price and manufacturer, and group by attribute name. <ans> <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> For those products with a price between 60 and 120, visualize the relationship between price and manufacturer, and group by attribute name. <ans> <sep> ... | 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, visualize the relationship between price and manufacturer, and group by attribute name. <ans> <sep> ... | x=Price,y=Manufacturer,color=Name |
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, visualize the relationship between price and manufacturer, and group by attribute name. <ans> <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> Show the distribution of manufacturers according to the prices between 60 and 120 of the different products. <ans> <sep> Step 1. Select the columns: | Price,Manufacturer,Name |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Show the distribution of manufacturers according to the prices between 60 and 120 of the different products. <ans> <sep> Step 1. Select the columns: Pri... | 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> Show the distribution of manufacturers according to the prices between 60 and 120 of the different products. <ans> <sep> Step 1. Select the columns: Pri... | 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> Show the distribution of manufacturers according to the prices between 60 and 120 of the different products. <ans> <sep> Step 1. Select the columns: Pri... | 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> Show the distribution of manufacturers according to the prices between 60 and 120 of the different products. <ans> <sep> Step 1. Select the columns: Pri... | x=Price,y=Manufacturer,color=Name |
products <head> Code,Name,Price,Manufacturer <type> quantitative,nominal,quantitative,quantitative <data> 1,Hard drive,240,5 <line> 2,Memory,120,6 <line> <utterance> Show the distribution of manufacturers according to the prices between 60 and 120 of the different products. <ans> <sep> Step 1. Select the columns: Pri... | none |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | date_address_to,other_details |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | none |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | count date_address_to |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | bar |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | x=date_address_to,y=count date_address_to,color=other_details |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | none |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | date_address_to,other_details |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | none |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | count date_address_to |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | bar |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | x=date_address_to,y=count date_address_to,color=other_details |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | none |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | date_address_from,monthly_rental,other_details |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | none |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | sum monthly_rental |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | bar |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | x=date_address_from,y=sum monthly_rental,color=other_details |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | none |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | date_address_from,monthly_rental,other_details |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | none |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | sum monthly_rental |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | bar |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | x=date_address_from,y=sum monthly_rental,color=other_details |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | none |
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