prompt stringlengths 180 1.49k | completion stringclasses 860
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races <head> raceId,year,round,circuitId,name,date,time,url <type> quantitative,temporal,quantitative,quantitative,nominal,temporal,temporal,nominal <data> 1,2009,1,1,Australian Grand Prix,2009-03-29,06:00:00,http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix <line> 2,2009,2,2,Malaysian Grand Prix,2009-04-05,09:00... | count name |
races <head> raceId,year,round,circuitId,name,date,time,url <type> quantitative,temporal,quantitative,quantitative,nominal,temporal,temporal,nominal <data> 1,2009,1,1,Australian Grand Prix,2009-03-29,06:00:00,http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix <line> 2,2009,2,2,Malaysian Grand Prix,2009-04-05,09:00... | bar |
races <head> raceId,year,round,circuitId,name,date,time,url <type> quantitative,temporal,quantitative,quantitative,nominal,temporal,temporal,nominal <data> 1,2009,1,1,Australian Grand Prix,2009-03-29,06:00:00,http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix <line> 2,2009,2,2,Malaysian Grand Prix,2009-04-05,09:00... | x=name,y=count name,color=none |
races <head> raceId,year,round,circuitId,name,date,time,url <type> quantitative,temporal,quantitative,quantitative,nominal,temporal,temporal,nominal <data> 1,2009,1,1,Australian Grand Prix,2009-03-29,06:00:00,http://en.wikipedia.org/wiki/2009_Australian_Grand_Prix <line> 2,2009,2,2,Malaysian Grand Prix,2009-04-05,09:00... | none |
Plays_games <head> StuID,GameID,Hours_Played <type> quantitative,quantitative,quantitative <data> 1001,1,35 <line> 1001,2,15 <line> <utterance> Scatter. What are the IDs and total number of hours played for each game? <ans> <sep> Step 1. Select the columns: | GameID,Hours_Played |
Plays_games <head> StuID,GameID,Hours_Played <type> quantitative,quantitative,quantitative <data> 1001,1,35 <line> 1001,2,15 <line> <utterance> Scatter. What are the IDs and total number of hours played for each game? <ans> <sep> Step 1. Select the columns: GameID,Hours_Played <sep> Step 2. Filter the data: | none |
Plays_games <head> StuID,GameID,Hours_Played <type> quantitative,quantitative,quantitative <data> 1001,1,35 <line> 1001,2,15 <line> <utterance> Scatter. What are the IDs and total number of hours played for each game? <ans> <sep> Step 1. Select the columns: GameID,Hours_Played <sep> Step 2. Filter the data: none <sep... | sum Hours_Played |
Plays_games <head> StuID,GameID,Hours_Played <type> quantitative,quantitative,quantitative <data> 1001,1,35 <line> 1001,2,15 <line> <utterance> Scatter. What are the IDs and total number of hours played for each game? <ans> <sep> Step 1. Select the columns: GameID,Hours_Played <sep> Step 2. Filter the data: none <sep... | point |
Plays_games <head> StuID,GameID,Hours_Played <type> quantitative,quantitative,quantitative <data> 1001,1,35 <line> 1001,2,15 <line> <utterance> Scatter. What are the IDs and total number of hours played for each game? <ans> <sep> Step 1. Select the columns: GameID,Hours_Played <sep> Step 2. Filter the data: none <sep... | x=GameID,y=sum Hours_Played,color=none |
Plays_games <head> StuID,GameID,Hours_Played <type> quantitative,quantitative,quantitative <data> 1001,1,35 <line> 1001,2,15 <line> <utterance> Scatter. What are the IDs and total number of hours played for each game? <ans> <sep> Step 1. Select the columns: GameID,Hours_Played <sep> Step 2. Filter the data: none <sep... | none |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> What i... | Manager_Name |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> What i... | none |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> What i... | count Manager_Name |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> What i... | bar |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> What i... | x=Manager_Name,y=count Manager_Name,color=none |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> What i... | none |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> Draw a... | Manager_Name |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> Draw a... | none |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> Draw a... | count Manager_Name |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> Draw a... | bar |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> Draw a... | x=Manager_Name,y=count Manager_Name,color=none |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> Draw a... | y asc |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> What's... | Manager_Name |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> What's... | none |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> What's... | count Manager_Name |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> What's... | bar |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> What's... | x=Manager_Name,y=count Manager_Name,color=none |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> What's... | none |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> Show t... | Manager_Name |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> Show t... | none |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> Show t... | count Manager_Name |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> Show t... | bar |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> Show t... | x=Manager_Name,y=count Manager_Name,color=none |
gas_station <head> Station_ID,Open_Year,Location,Manager_Name,Vice_Manager_Name,Representative_Name <type> quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1998,Herne Hill,BrianWingrave,Russell Denman,Clive Burr <line> 2,1999,Channel Hill,SimonMarloe,Russell Brown,Rob Jefferies <line> <utterance> Show t... | none |
affiliated_with <head> Physician,Department,PrimaryAffiliation <type> quantitative,quantitative,quantitative <data> 1,1,1 <line> 2,1,1 <line> <utterance> Visualize a chart of the primary affiliation of physicians and departments. <ans> <sep> Step 1. Select the columns: | Physician,Department |
affiliated_with <head> Physician,Department,PrimaryAffiliation <type> quantitative,quantitative,quantitative <data> 1,1,1 <line> 2,1,1 <line> <utterance> Visualize a chart of the primary affiliation of physicians and departments. <ans> <sep> Step 1. Select the columns: Physician,Department <sep> Step 2. Filter the da... | PrimaryAffiliation = 1 |
affiliated_with <head> Physician,Department,PrimaryAffiliation <type> quantitative,quantitative,quantitative <data> 1,1,1 <line> 2,1,1 <line> <utterance> Visualize a chart of the primary affiliation of physicians and departments. <ans> <sep> Step 1. Select the columns: Physician,Department <sep> Step 2. Filter the da... | none |
affiliated_with <head> Physician,Department,PrimaryAffiliation <type> quantitative,quantitative,quantitative <data> 1,1,1 <line> 2,1,1 <line> <utterance> Visualize a chart of the primary affiliation of physicians and departments. <ans> <sep> Step 1. Select the columns: Physician,Department <sep> Step 2. Filter the da... | point |
affiliated_with <head> Physician,Department,PrimaryAffiliation <type> quantitative,quantitative,quantitative <data> 1,1,1 <line> 2,1,1 <line> <utterance> Visualize a chart of the primary affiliation of physicians and departments. <ans> <sep> Step 1. Select the columns: Physician,Department <sep> Step 2. Filter the da... | x=Physician,y=Department,color=none |
affiliated_with <head> Physician,Department,PrimaryAffiliation <type> quantitative,quantitative,quantitative <data> 1,1,1 <line> 2,1,1 <line> <utterance> Visualize a chart of the primary affiliation of physicians and departments. <ans> <sep> Step 1. Select the columns: Physician,Department <sep> Step 2. Filter the da... | none |
affiliated_with <head> Physician,Department,PrimaryAffiliation <type> quantitative,quantitative,quantitative <data> 1,1,1 <line> 2,1,1 <line> <utterance> List the physicians' employee IDs together with their primary affiliation departments' IDs with a scatter chart. <ans> <sep> Step 1. Select the columns: | Physician,Department |
affiliated_with <head> Physician,Department,PrimaryAffiliation <type> quantitative,quantitative,quantitative <data> 1,1,1 <line> 2,1,1 <line> <utterance> List the physicians' employee IDs together with their primary affiliation departments' IDs with a scatter chart. <ans> <sep> Step 1. Select the columns: Physician,D... | PrimaryAffiliation = 1 |
affiliated_with <head> Physician,Department,PrimaryAffiliation <type> quantitative,quantitative,quantitative <data> 1,1,1 <line> 2,1,1 <line> <utterance> List the physicians' employee IDs together with their primary affiliation departments' IDs with a scatter chart. <ans> <sep> Step 1. Select the columns: Physician,D... | none |
affiliated_with <head> Physician,Department,PrimaryAffiliation <type> quantitative,quantitative,quantitative <data> 1,1,1 <line> 2,1,1 <line> <utterance> List the physicians' employee IDs together with their primary affiliation departments' IDs with a scatter chart. <ans> <sep> Step 1. Select the columns: Physician,D... | point |
affiliated_with <head> Physician,Department,PrimaryAffiliation <type> quantitative,quantitative,quantitative <data> 1,1,1 <line> 2,1,1 <line> <utterance> List the physicians' employee IDs together with their primary affiliation departments' IDs with a scatter chart. <ans> <sep> Step 1. Select the columns: Physician,D... | x=Physician,y=Department,color=none |
affiliated_with <head> Physician,Department,PrimaryAffiliation <type> quantitative,quantitative,quantitative <data> 1,1,1 <line> 2,1,1 <line> <utterance> List the physicians' employee IDs together with their primary affiliation departments' IDs with a scatter chart. <ans> <sep> Step 1. Select the columns: Physician,D... | none |
locations <head> LOCATION_ID,STREET_ADDRESS,POSTAL_CODE,CITY,STATE_PROVINCE,COUNTRY_ID <type> quantitative,nominal,nominal,nominal,nominal,nominal <data> 1000,1297 Via Cola di Rie,989,Roma,,IT <line> 1100,93091 Calle della Testa,10934,Venice,,IT <line> <utterance> Can you draw a chart illustrating the different state ... | STATE_PROVINCE |
locations <head> LOCATION_ID,STREET_ADDRESS,POSTAL_CODE,CITY,STATE_PROVINCE,COUNTRY_ID <type> quantitative,nominal,nominal,nominal,nominal,nominal <data> 1000,1297 Via Cola di Rie,989,Roma,,IT <line> 1100,93091 Calle della Testa,10934,Venice,,IT <line> <utterance> Can you draw a chart illustrating the different state ... | none |
locations <head> LOCATION_ID,STREET_ADDRESS,POSTAL_CODE,CITY,STATE_PROVINCE,COUNTRY_ID <type> quantitative,nominal,nominal,nominal,nominal,nominal <data> 1000,1297 Via Cola di Rie,989,Roma,,IT <line> 1100,93091 Calle della Testa,10934,Venice,,IT <line> <utterance> Can you draw a chart illustrating the different state ... | count STATE_PROVINCE |
locations <head> LOCATION_ID,STREET_ADDRESS,POSTAL_CODE,CITY,STATE_PROVINCE,COUNTRY_ID <type> quantitative,nominal,nominal,nominal,nominal,nominal <data> 1000,1297 Via Cola di Rie,989,Roma,,IT <line> 1100,93091 Calle della Testa,10934,Venice,,IT <line> <utterance> Can you draw a chart illustrating the different state ... | bar |
locations <head> LOCATION_ID,STREET_ADDRESS,POSTAL_CODE,CITY,STATE_PROVINCE,COUNTRY_ID <type> quantitative,nominal,nominal,nominal,nominal,nominal <data> 1000,1297 Via Cola di Rie,989,Roma,,IT <line> 1100,93091 Calle della Testa,10934,Venice,,IT <line> <utterance> Can you draw a chart illustrating the different state ... | x=STATE_PROVINCE,y=count STATE_PROVINCE,color=none |
locations <head> LOCATION_ID,STREET_ADDRESS,POSTAL_CODE,CITY,STATE_PROVINCE,COUNTRY_ID <type> quantitative,nominal,nominal,nominal,nominal,nominal <data> 1000,1297 Via Cola di Rie,989,Roma,,IT <line> 1100,93091 Calle della Testa,10934,Venice,,IT <line> <utterance> Can you draw a chart illustrating the different state ... | none |
locations <head> LOCATION_ID,STREET_ADDRESS,POSTAL_CODE,CITY,STATE_PROVINCE,COUNTRY_ID <type> quantitative,nominal,nominal,nominal,nominal,nominal <data> 1000,1297 Via Cola di Rie,989,Roma,,IT <line> 1100,93091 Calle della Testa,10934,Venice,,IT <line> <utterance> Group and count the state province attribute of the lo... | STATE_PROVINCE |
locations <head> LOCATION_ID,STREET_ADDRESS,POSTAL_CODE,CITY,STATE_PROVINCE,COUNTRY_ID <type> quantitative,nominal,nominal,nominal,nominal,nominal <data> 1000,1297 Via Cola di Rie,989,Roma,,IT <line> 1100,93091 Calle della Testa,10934,Venice,,IT <line> <utterance> Group and count the state province attribute of the lo... | none |
locations <head> LOCATION_ID,STREET_ADDRESS,POSTAL_CODE,CITY,STATE_PROVINCE,COUNTRY_ID <type> quantitative,nominal,nominal,nominal,nominal,nominal <data> 1000,1297 Via Cola di Rie,989,Roma,,IT <line> 1100,93091 Calle della Testa,10934,Venice,,IT <line> <utterance> Group and count the state province attribute of the lo... | count STATE_PROVINCE |
locations <head> LOCATION_ID,STREET_ADDRESS,POSTAL_CODE,CITY,STATE_PROVINCE,COUNTRY_ID <type> quantitative,nominal,nominal,nominal,nominal,nominal <data> 1000,1297 Via Cola di Rie,989,Roma,,IT <line> 1100,93091 Calle della Testa,10934,Venice,,IT <line> <utterance> Group and count the state province attribute of the lo... | bar |
locations <head> LOCATION_ID,STREET_ADDRESS,POSTAL_CODE,CITY,STATE_PROVINCE,COUNTRY_ID <type> quantitative,nominal,nominal,nominal,nominal,nominal <data> 1000,1297 Via Cola di Rie,989,Roma,,IT <line> 1100,93091 Calle della Testa,10934,Venice,,IT <line> <utterance> Group and count the state province attribute of the lo... | x=STATE_PROVINCE,y=count STATE_PROVINCE,color=none |
locations <head> LOCATION_ID,STREET_ADDRESS,POSTAL_CODE,CITY,STATE_PROVINCE,COUNTRY_ID <type> quantitative,nominal,nominal,nominal,nominal,nominal <data> 1000,1297 Via Cola di Rie,989,Roma,,IT <line> 1100,93091 Calle della Testa,10934,Venice,,IT <line> <utterance> Group and count the state province attribute of the lo... | none |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> Can I get a chart of jobs and their salary ranges with a maximum salary between 12000-18000? <ans> <sep> St... | JOB_TITLE,MAX_SALARY |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> Can I get a chart of jobs and their salary ranges with a maximum salary between 12000-18000? <ans> <sep> St... | MAX_SALARY gte 12000 and MAX_SALARY lte 18000 |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> Can I get a chart of jobs and their salary ranges with a maximum salary between 12000-18000? <ans> <sep> St... | none |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> Can I get a chart of jobs and their salary ranges with a maximum salary between 12000-18000? <ans> <sep> St... | bar |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> Can I get a chart of jobs and their salary ranges with a maximum salary between 12000-18000? <ans> <sep> St... | x=JOB_TITLE,y=MAX_SALARY - MIN_SALARY,color=none |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> Can I get a chart of jobs and their salary ranges with a maximum salary between 12000-18000? <ans> <sep> St... | none |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> What are the job titles, and range of salaries for jobs with a maximum salary between 12000 and 18000? Could... | JOB_TITLE,MAX_SALARY |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> What are the job titles, and range of salaries for jobs with a maximum salary between 12000 and 18000? Could... | MAX_SALARY gte 12000 and MAX_SALARY lte 18000 |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> What are the job titles, and range of salaries for jobs with a maximum salary between 12000 and 18000? Could... | none |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> What are the job titles, and range of salaries for jobs with a maximum salary between 12000 and 18000? Could... | bar |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> What are the job titles, and range of salaries for jobs with a maximum salary between 12000 and 18000? Could... | x=JOB_TITLE,y=MAX_SALARY - MIN_SALARY,color=none |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> What are the job titles, and range of salaries for jobs with a maximum salary between 12000 and 18000? Could... | x desc |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> I want to know jobs and salary ranges with max salary in the 12k-18k in a chart. <ans> <sep> Step 1. Select... | JOB_TITLE,MAX_SALARY |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> I want to know jobs and salary ranges with max salary in the 12k-18k in a chart. <ans> <sep> Step 1. Select... | MAX_SALARY gte 12000 and MAX_SALARY lte 18000 |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> I want to know jobs and salary ranges with max salary in the 12k-18k in a chart. <ans> <sep> Step 1. Select... | none |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> I want to know jobs and salary ranges with max salary in the 12k-18k in a chart. <ans> <sep> Step 1. Select... | arc |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> I want to know jobs and salary ranges with max salary in the 12k-18k in a chart. <ans> <sep> Step 1. Select... | x=JOB_TITLE,y=MAX_SALARY - MIN_SALARY,color=none |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> I want to know jobs and salary ranges with max salary in the 12k-18k in a chart. <ans> <sep> Step 1. Select... | none |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> A pie chart about what are the job titles, and the range of salaries for jobs with a maximum salary between ... | JOB_TITLE,MAX_SALARY |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> A pie chart about what are the job titles, and the range of salaries for jobs with a maximum salary between ... | MAX_SALARY gte 12000 and MAX_SALARY lte 18000 |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> A pie chart about what are the job titles, and the range of salaries for jobs with a maximum salary between ... | none |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> A pie chart about what are the job titles, and the range of salaries for jobs with a maximum salary between ... | arc |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> A pie chart about what are the job titles, and the range of salaries for jobs with a maximum salary between ... | x=JOB_TITLE,y=MAX_SALARY - MIN_SALARY,color=none |
jobs <head> JOB_ID,JOB_TITLE,MIN_SALARY,MAX_SALARY <type> nominal,nominal,quantitative,quantitative <data> AD_PRES,President,20000,40000 <line> AD_VP,Administration Vice President,15000,30000 <line> <utterance> A pie chart about what are the job titles, and the range of salaries for jobs with a maximum salary between ... | none |
countries <head> COUNTRY_ID,COUNTRY_NAME,REGION_ID <type> nominal,nominal,quantitative <data> AR,Argentina,2 <line> AU,Australia,3 <line> <utterance> Make a graph of the countries, in name descending order. <ans> <sep> Step 1. Select the columns: | COUNTRY_NAME |
countries <head> COUNTRY_ID,COUNTRY_NAME,REGION_ID <type> nominal,nominal,quantitative <data> AR,Argentina,2 <line> AU,Australia,3 <line> <utterance> Make a graph of the countries, in name descending order. <ans> <sep> Step 1. Select the columns: COUNTRY_NAME <sep> Step 2. Filter the data: | none |
countries <head> COUNTRY_ID,COUNTRY_NAME,REGION_ID <type> nominal,nominal,quantitative <data> AR,Argentina,2 <line> AU,Australia,3 <line> <utterance> Make a graph of the countries, in name descending order. <ans> <sep> Step 1. Select the columns: COUNTRY_NAME <sep> Step 2. Filter the data: none <sep> Step 3. Add aggr... | count COUNTRY_NAME |
countries <head> COUNTRY_ID,COUNTRY_NAME,REGION_ID <type> nominal,nominal,quantitative <data> AR,Argentina,2 <line> AU,Australia,3 <line> <utterance> Make a graph of the countries, in name descending order. <ans> <sep> Step 1. Select the columns: COUNTRY_NAME <sep> Step 2. Filter the data: none <sep> Step 3. Add aggr... | bar |
countries <head> COUNTRY_ID,COUNTRY_NAME,REGION_ID <type> nominal,nominal,quantitative <data> AR,Argentina,2 <line> AU,Australia,3 <line> <utterance> Make a graph of the countries, in name descending order. <ans> <sep> Step 1. Select the columns: COUNTRY_NAME <sep> Step 2. Filter the data: none <sep> Step 3. Add aggr... | x=COUNTRY_NAME,y=count COUNTRY_NAME,color=none |
countries <head> COUNTRY_ID,COUNTRY_NAME,REGION_ID <type> nominal,nominal,quantitative <data> AR,Argentina,2 <line> AU,Australia,3 <line> <utterance> Make a graph of the countries, in name descending order. <ans> <sep> Step 1. Select the columns: COUNTRY_NAME <sep> Step 2. Filter the data: none <sep> Step 3. Add aggr... | x desc |
countries <head> COUNTRY_ID,COUNTRY_NAME,REGION_ID <type> nominal,nominal,quantitative <data> AR,Argentina,2 <line> AU,Australia,3 <line> <utterance> Please show me how many employees working in different countries using a bar chart, could you list from high to low by the bars? <ans> <sep> Step 1. Select the columns: | COUNTRY_NAME |
countries <head> COUNTRY_ID,COUNTRY_NAME,REGION_ID <type> nominal,nominal,quantitative <data> AR,Argentina,2 <line> AU,Australia,3 <line> <utterance> Please show me how many employees working in different countries using a bar chart, could you list from high to low by the bars? <ans> <sep> Step 1. Select the columns:... | none |
countries <head> COUNTRY_ID,COUNTRY_NAME,REGION_ID <type> nominal,nominal,quantitative <data> AR,Argentina,2 <line> AU,Australia,3 <line> <utterance> Please show me how many employees working in different countries using a bar chart, could you list from high to low by the bars? <ans> <sep> Step 1. Select the columns:... | count COUNTRY_NAME |
countries <head> COUNTRY_ID,COUNTRY_NAME,REGION_ID <type> nominal,nominal,quantitative <data> AR,Argentina,2 <line> AU,Australia,3 <line> <utterance> Please show me how many employees working in different countries using a bar chart, could you list from high to low by the bars? <ans> <sep> Step 1. Select the columns:... | bar |
countries <head> COUNTRY_ID,COUNTRY_NAME,REGION_ID <type> nominal,nominal,quantitative <data> AR,Argentina,2 <line> AU,Australia,3 <line> <utterance> Please show me how many employees working in different countries using a bar chart, could you list from high to low by the bars? <ans> <sep> Step 1. Select the columns:... | x=COUNTRY_NAME,y=count COUNTRY_NAME,color=none |
countries <head> COUNTRY_ID,COUNTRY_NAME,REGION_ID <type> nominal,nominal,quantitative <data> AR,Argentina,2 <line> AU,Australia,3 <line> <utterance> Please show me how many employees working in different countries using a bar chart, could you list from high to low by the bars? <ans> <sep> Step 1. Select the columns:... | x desc |
countries <head> COUNTRY_ID,COUNTRY_NAME,REGION_ID <type> nominal,nominal,quantitative <data> AR,Argentina,2 <line> AU,Australia,3 <line> <utterance> Can I get a visualization of country names? <ans> <sep> Step 1. Select the columns: | COUNTRY_NAME |
countries <head> COUNTRY_ID,COUNTRY_NAME,REGION_ID <type> nominal,nominal,quantitative <data> AR,Argentina,2 <line> AU,Australia,3 <line> <utterance> Can I get a visualization of country names? <ans> <sep> Step 1. Select the columns: COUNTRY_NAME <sep> Step 2. Filter the data: | none |
countries <head> COUNTRY_ID,COUNTRY_NAME,REGION_ID <type> nominal,nominal,quantitative <data> AR,Argentina,2 <line> AU,Australia,3 <line> <utterance> Can I get a visualization of country names? <ans> <sep> Step 1. Select the columns: COUNTRY_NAME <sep> Step 2. Filter the data: none <sep> Step 3. Add aggregate functio... | count COUNTRY_NAME |
countries <head> COUNTRY_ID,COUNTRY_NAME,REGION_ID <type> nominal,nominal,quantitative <data> AR,Argentina,2 <line> AU,Australia,3 <line> <utterance> Can I get a visualization of country names? <ans> <sep> Step 1. Select the columns: COUNTRY_NAME <sep> Step 2. Filter the data: none <sep> Step 3. Add aggregate functio... | bar |
countries <head> COUNTRY_ID,COUNTRY_NAME,REGION_ID <type> nominal,nominal,quantitative <data> AR,Argentina,2 <line> AU,Australia,3 <line> <utterance> Can I get a visualization of country names? <ans> <sep> Step 1. Select the columns: COUNTRY_NAME <sep> Step 2. Filter the data: none <sep> Step 3. Add aggregate functio... | x=COUNTRY_NAME,y=count COUNTRY_NAME,color=none |
countries <head> COUNTRY_ID,COUNTRY_NAME,REGION_ID <type> nominal,nominal,quantitative <data> AR,Argentina,2 <line> AU,Australia,3 <line> <utterance> Can I get a visualization of country names? <ans> <sep> Step 1. Select the columns: COUNTRY_NAME <sep> Step 2. Filter the data: none <sep> Step 3. Add aggregate functio... | none |
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