prompt stringlengths 180 1.49k | completion stringclasses 860
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mission <head> Mission_ID,Ship_ID,Code,Launched_Year,Location,Speed_knots,Fate <type> quantitative,quantitative,nominal,temporal,nominal,quantitative,nominal <data> 1,1,VMV-1,1930,Germany,25,Decommissioned 1950 <line> 2,2,VMV-2,1930,Germany,25,Decommissioned 1950 <line> <utterance> Show me a graph of the different fat... | count Fate |
mission <head> Mission_ID,Ship_ID,Code,Launched_Year,Location,Speed_knots,Fate <type> quantitative,quantitative,nominal,temporal,nominal,quantitative,nominal <data> 1,1,VMV-1,1930,Germany,25,Decommissioned 1950 <line> 2,2,VMV-2,1930,Germany,25,Decommissioned 1950 <line> <utterance> Show me a graph of the different fat... | bar |
mission <head> Mission_ID,Ship_ID,Code,Launched_Year,Location,Speed_knots,Fate <type> quantitative,quantitative,nominal,temporal,nominal,quantitative,nominal <data> 1,1,VMV-1,1930,Germany,25,Decommissioned 1950 <line> 2,2,VMV-2,1930,Germany,25,Decommissioned 1950 <line> <utterance> Show me a graph of the different fat... | x=Fate,y=count Fate,color=none |
mission <head> Mission_ID,Ship_ID,Code,Launched_Year,Location,Speed_knots,Fate <type> quantitative,quantitative,nominal,temporal,nominal,quantitative,nominal <data> 1,1,VMV-1,1930,Germany,25,Decommissioned 1950 <line> 2,2,VMV-2,1930,Germany,25,Decommissioned 1950 <line> <utterance> Show me a graph of the different fat... | y desc |
mission <head> Mission_ID,Ship_ID,Code,Launched_Year,Location,Speed_knots,Fate <type> quantitative,quantitative,nominal,temporal,nominal,quantitative,nominal <data> 1,1,VMV-1,1930,Germany,25,Decommissioned 1950 <line> 2,2,VMV-2,1930,Germany,25,Decommissioned 1950 <line> <utterance> What is the breakdown of the fates b... | Fate |
mission <head> Mission_ID,Ship_ID,Code,Launched_Year,Location,Speed_knots,Fate <type> quantitative,quantitative,nominal,temporal,nominal,quantitative,nominal <data> 1,1,VMV-1,1930,Germany,25,Decommissioned 1950 <line> 2,2,VMV-2,1930,Germany,25,Decommissioned 1950 <line> <utterance> What is the breakdown of the fates b... | none |
mission <head> Mission_ID,Ship_ID,Code,Launched_Year,Location,Speed_knots,Fate <type> quantitative,quantitative,nominal,temporal,nominal,quantitative,nominal <data> 1,1,VMV-1,1930,Germany,25,Decommissioned 1950 <line> 2,2,VMV-2,1930,Germany,25,Decommissioned 1950 <line> <utterance> What is the breakdown of the fates b... | count Fate |
mission <head> Mission_ID,Ship_ID,Code,Launched_Year,Location,Speed_knots,Fate <type> quantitative,quantitative,nominal,temporal,nominal,quantitative,nominal <data> 1,1,VMV-1,1930,Germany,25,Decommissioned 1950 <line> 2,2,VMV-2,1930,Germany,25,Decommissioned 1950 <line> <utterance> What is the breakdown of the fates b... | bar |
mission <head> Mission_ID,Ship_ID,Code,Launched_Year,Location,Speed_knots,Fate <type> quantitative,quantitative,nominal,temporal,nominal,quantitative,nominal <data> 1,1,VMV-1,1930,Germany,25,Decommissioned 1950 <line> 2,2,VMV-2,1930,Germany,25,Decommissioned 1950 <line> <utterance> What is the breakdown of the fates b... | x=Fate,y=count Fate,color=none |
mission <head> Mission_ID,Ship_ID,Code,Launched_Year,Location,Speed_knots,Fate <type> quantitative,quantitative,nominal,temporal,nominal,quantitative,nominal <data> 1,1,VMV-1,1930,Germany,25,Decommissioned 1950 <line> 2,2,VMV-2,1930,Germany,25,Decommissioned 1950 <line> <utterance> What is the breakdown of the fates b... | none |
mission <head> Mission_ID,Ship_ID,Code,Launched_Year,Location,Speed_knots,Fate <type> quantitative,quantitative,nominal,temporal,nominal,quantitative,nominal <data> 1,1,VMV-1,1930,Germany,25,Decommissioned 1950 <line> 2,2,VMV-2,1930,Germany,25,Decommissioned 1950 <line> <utterance> Create a graph with the fate results... | Fate |
mission <head> Mission_ID,Ship_ID,Code,Launched_Year,Location,Speed_knots,Fate <type> quantitative,quantitative,nominal,temporal,nominal,quantitative,nominal <data> 1,1,VMV-1,1930,Germany,25,Decommissioned 1950 <line> 2,2,VMV-2,1930,Germany,25,Decommissioned 1950 <line> <utterance> Create a graph with the fate results... | none |
mission <head> Mission_ID,Ship_ID,Code,Launched_Year,Location,Speed_knots,Fate <type> quantitative,quantitative,nominal,temporal,nominal,quantitative,nominal <data> 1,1,VMV-1,1930,Germany,25,Decommissioned 1950 <line> 2,2,VMV-2,1930,Germany,25,Decommissioned 1950 <line> <utterance> Create a graph with the fate results... | count Fate |
mission <head> Mission_ID,Ship_ID,Code,Launched_Year,Location,Speed_knots,Fate <type> quantitative,quantitative,nominal,temporal,nominal,quantitative,nominal <data> 1,1,VMV-1,1930,Germany,25,Decommissioned 1950 <line> 2,2,VMV-2,1930,Germany,25,Decommissioned 1950 <line> <utterance> Create a graph with the fate results... | bar |
mission <head> Mission_ID,Ship_ID,Code,Launched_Year,Location,Speed_knots,Fate <type> quantitative,quantitative,nominal,temporal,nominal,quantitative,nominal <data> 1,1,VMV-1,1930,Germany,25,Decommissioned 1950 <line> 2,2,VMV-2,1930,Germany,25,Decommissioned 1950 <line> <utterance> Create a graph with the fate results... | x=Fate,y=count Fate,color=none |
mission <head> Mission_ID,Ship_ID,Code,Launched_Year,Location,Speed_knots,Fate <type> quantitative,quantitative,nominal,temporal,nominal,quantitative,nominal <data> 1,1,VMV-1,1930,Germany,25,Decommissioned 1950 <line> 2,2,VMV-2,1930,Germany,25,Decommissioned 1950 <line> <utterance> Create a graph with the fate results... | y desc |
mission <head> Mission_ID,Ship_ID,Code,Launched_Year,Location,Speed_knots,Fate <type> quantitative,quantitative,nominal,temporal,nominal,quantitative,nominal <data> 1,1,VMV-1,1930,Germany,25,Decommissioned 1950 <line> 2,2,VMV-2,1930,Germany,25,Decommissioned 1950 <line> <utterance> Make me a chart of the fate results,... | Fate |
mission <head> Mission_ID,Ship_ID,Code,Launched_Year,Location,Speed_knots,Fate <type> quantitative,quantitative,nominal,temporal,nominal,quantitative,nominal <data> 1,1,VMV-1,1930,Germany,25,Decommissioned 1950 <line> 2,2,VMV-2,1930,Germany,25,Decommissioned 1950 <line> <utterance> Make me a chart of the fate results,... | none |
mission <head> Mission_ID,Ship_ID,Code,Launched_Year,Location,Speed_knots,Fate <type> quantitative,quantitative,nominal,temporal,nominal,quantitative,nominal <data> 1,1,VMV-1,1930,Germany,25,Decommissioned 1950 <line> 2,2,VMV-2,1930,Germany,25,Decommissioned 1950 <line> <utterance> Make me a chart of the fate results,... | count Fate |
mission <head> Mission_ID,Ship_ID,Code,Launched_Year,Location,Speed_knots,Fate <type> quantitative,quantitative,nominal,temporal,nominal,quantitative,nominal <data> 1,1,VMV-1,1930,Germany,25,Decommissioned 1950 <line> 2,2,VMV-2,1930,Germany,25,Decommissioned 1950 <line> <utterance> Make me a chart of the fate results,... | bar |
mission <head> Mission_ID,Ship_ID,Code,Launched_Year,Location,Speed_knots,Fate <type> quantitative,quantitative,nominal,temporal,nominal,quantitative,nominal <data> 1,1,VMV-1,1930,Germany,25,Decommissioned 1950 <line> 2,2,VMV-2,1930,Germany,25,Decommissioned 1950 <line> <utterance> Make me a chart of the fate results,... | x=Fate,y=count Fate,color=none |
mission <head> Mission_ID,Ship_ID,Code,Launched_Year,Location,Speed_knots,Fate <type> quantitative,quantitative,nominal,temporal,nominal,quantitative,nominal <data> 1,1,VMV-1,1930,Germany,25,Decommissioned 1950 <line> 2,2,VMV-2,1930,Germany,25,Decommissioned 1950 <line> <utterance> Make me a chart of the fate results,... | y desc |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What percentage of branches are located in London? <ans> <sep> S... | City |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What percentage of branches are located in London? <ans> <sep> S... | none |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What percentage of branches are located in London? <ans> <sep> S... | count City |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What percentage of branches are located in London? <ans> <sep> S... | arc |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What percentage of branches are located in London? <ans> <sep> S... | x=City,y=count City,color=none |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What percentage of branches are located in London? <ans> <sep> S... | none |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the distribution of the cities in the branch table? <ans> ... | City |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the distribution of the cities in the branch table? <ans> ... | none |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the distribution of the cities in the branch table? <ans> ... | count City |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the distribution of the cities in the branch table? <ans> ... | arc |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the distribution of the cities in the branch table? <ans> ... | x=City,y=count City,color=none |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the distribution of the cities in the branch table? <ans> ... | none |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> How many branches are there in each city? <ans> <sep> Step 1. S... | City |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> How many branches are there in each city? <ans> <sep> Step 1. S... | none |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> How many branches are there in each city? <ans> <sep> Step 1. S... | count City |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> How many branches are there in each city? <ans> <sep> Step 1. S... | arc |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> How many branches are there in each city? <ans> <sep> Step 1. S... | x=City,y=count City,color=none |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> How many branches are there in each city? <ans> <sep> Step 1. S... | none |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the ratio of London branches? <ans> <sep> Step 1. Select... | City |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the ratio of London branches? <ans> <sep> Step 1. Select... | none |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the ratio of London branches? <ans> <sep> Step 1. Select... | count City |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the ratio of London branches? <ans> <sep> Step 1. Select... | arc |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the ratio of London branches? <ans> <sep> Step 1. Select... | x=City,y=count City,color=none |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the ratio of London branches? <ans> <sep> Step 1. Select... | none |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the breakdown of cities in the branch table? <ans> <sep>... | City |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the breakdown of cities in the branch table? <ans> <sep>... | none |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the breakdown of cities in the branch table? <ans> <sep>... | count City |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the breakdown of cities in the branch table? <ans> <sep>... | arc |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the breakdown of cities in the branch table? <ans> <sep>... | x=City,y=count City,color=none |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the breakdown of cities in the branch table? <ans> <sep>... | none |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the split between cities in the branch table? <ans> <sep>... | City |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the split between cities in the branch table? <ans> <sep>... | none |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the split between cities in the branch table? <ans> <sep>... | count City |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the split between cities in the branch table? <ans> <sep>... | arc |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the split between cities in the branch table? <ans> <sep>... | x=City,y=count City,color=none |
branch <head> Branch_ID,Name,Open_year,Address_road,City,membership_amount <type> quantitative,nominal,temporal,nominal,nominal,quantitative <data> 1,Alexandre,2001,Valleys Place,London,112 <line> 2,Popert,2009,Oaks Crescent,London,11 <line> <utterance> What's the split between cities in the branch table? <ans> <sep>... | none |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Show me a bar chart of players with hours spent training below 1500, ordered by the amount of hours. <ans> <sep> Step 1. Select the columns: | pName,HS |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Show me a bar chart of players with hours spent training below 1500, ordered by the amount of hours. <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2... | HS lt 1500 |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Show me a bar chart of players with hours spent training below 1500, ordered by the amount of hours. <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2... | none |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Show me a bar chart of players with hours spent training below 1500, ordered by the amount of hours. <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2... | bar |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Show me a bar chart of players with hours spent training below 1500, ordered by the amount of hours. <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2... | x=pName,y=HS,color=none |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Show me a bar chart of players with hours spent training below 1500, ordered by the amount of hours. <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2... | y asc |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> What are the names and hours spent training for players with less than 1500 hours, in a bar chart? <ans> <sep> Step 1. Select the columns: | pName,HS |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> What are the names and hours spent training for players with less than 1500 hours, in a bar chart? <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. ... | HS lt 1500 |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> What are the names and hours spent training for players with less than 1500 hours, in a bar chart? <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. ... | none |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> What are the names and hours spent training for players with less than 1500 hours, in a bar chart? <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. ... | bar |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> What are the names and hours spent training for players with less than 1500 hours, in a bar chart? <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. ... | x=pName,y=HS,color=none |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> What are the names and hours spent training for players with less than 1500 hours, in a bar chart? <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. ... | none |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Can I get a bar chart of players training for less than 1500 hours, sorted by hours? <ans> <sep> Step 1. Select the columns: | pName,HS |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Can I get a bar chart of players training for less than 1500 hours, sorted by hours? <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. Filter the dat... | HS lt 1500 |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Can I get a bar chart of players training for less than 1500 hours, sorted by hours? <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. Filter the dat... | none |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Can I get a bar chart of players training for less than 1500 hours, sorted by hours? <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. Filter the dat... | bar |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Can I get a bar chart of players training for less than 1500 hours, sorted by hours? <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. Filter the dat... | x=pName,y=HS,color=none |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Can I get a bar chart of players training for less than 1500 hours, sorted by hours? <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. Filter the dat... | y asc |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Give me a bar chart of players who have trained for less than 1500 hours, sorted by the hour count. <ans> <sep> Step 1. Select the columns: | pName,HS |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Give me a bar chart of players who have trained for less than 1500 hours, sorted by the hour count. <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2.... | HS lt 1500 |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Give me a bar chart of players who have trained for less than 1500 hours, sorted by the hour count. <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2.... | none |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Give me a bar chart of players who have trained for less than 1500 hours, sorted by the hour count. <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2.... | bar |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Give me a bar chart of players who have trained for less than 1500 hours, sorted by the hour count. <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2.... | x=pName,y=HS,color=none |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Give me a bar chart of players who have trained for less than 1500 hours, sorted by the hour count. <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2.... | y asc |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Visualize the proportion of players who train for less than 1500 hours. <ans> <sep> Step 1. Select the columns: | pName,HS |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Visualize the proportion of players who train for less than 1500 hours. <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. Filter the data: | HS lt 1500 |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Visualize the proportion of players who train for less than 1500 hours. <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. Filter the data: HS lt 1500... | none |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Visualize the proportion of players who train for less than 1500 hours. <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. Filter the data: HS lt 1500... | arc |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Visualize the proportion of players who train for less than 1500 hours. <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. Filter the data: HS lt 1500... | x=pName,y=HS,color=none |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Visualize the proportion of players who train for less than 1500 hours. <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. Filter the data: HS lt 1500... | none |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> What's the distribution of players who train for under 1500 hours? <ans> <sep> Step 1. Select the columns: | pName,HS |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> What's the distribution of players who train for under 1500 hours? <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. Filter the data: | HS lt 1500 |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> What's the distribution of players who train for under 1500 hours? <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. Filter the data: HS lt 1500 <sep... | none |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> What's the distribution of players who train for under 1500 hours? <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. Filter the data: HS lt 1500 <sep... | arc |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> What's the distribution of players who train for under 1500 hours? <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. Filter the data: HS lt 1500 <sep... | x=pName,y=HS,color=none |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> What's the distribution of players who train for under 1500 hours? <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. Filter the data: HS lt 1500 <sep... | none |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Plot the names and training hours of players who train less than 1500. <ans> <sep> Step 1. Select the columns: | pName,HS |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Plot the names and training hours of players who train less than 1500. <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. Filter the data: | HS lt 1500 |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Plot the names and training hours of players who train less than 1500. <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. Filter the data: HS lt 1500 ... | none |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Plot the names and training hours of players who train less than 1500. <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. Filter the data: HS lt 1500 ... | arc |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Plot the names and training hours of players who train less than 1500. <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. Filter the data: HS lt 1500 ... | x=pName,y=HS,color=none |
Player <head> pID,pName,yCard,HS <type> quantitative,nominal,nominal,quantitative <data> 10001,Andrew,no,1200 <line> 20002,Blake,no,1600 <line> <utterance> Plot the names and training hours of players who train less than 1500. <ans> <sep> Step 1. Select the columns: pName,HS <sep> Step 2. Filter the data: HS lt 1500 ... | none |
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