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stringlengths
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860 values
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> Graph the payment amounts proportion per payment method...
x=Payment_Method_Code,y=sum Amount_Payment,color=none
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> Graph the payment amounts proportion per payment method...
none
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> What about the proportion of the total amounts of payme...
Payment_Method_Code,Amount_Payment
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> What about the proportion of the total amounts of payme...
none
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> What about the proportion of the total amounts of payme...
sum Amount_Payment
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> What about the proportion of the total amounts of payme...
arc
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> What about the proportion of the total amounts of payme...
x=Payment_Method_Code,y=sum Amount_Payment,color=none
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> What about the proportion of the total amounts of payme...
none
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> What's the pattern of average payments over time? <ans>...
Date_Payment_Made,Amount_Payment
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> What's the pattern of average payments over time? <ans>...
none
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> What's the pattern of average payments over time? <ans>...
mean Amount_Payment
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> What's the pattern of average payments over time? <ans>...
line
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> What's the pattern of average payments over time? <ans>...
x=Date_Payment_Made,y=mean Amount_Payment,color=none
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> What's the pattern of average payments over time? <ans>...
none
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> Return a trend line to show the average amount of payme...
Date_Payment_Made,Amount_Payment
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> Return a trend line to show the average amount of payme...
none
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> Return a trend line to show the average amount of payme...
mean Amount_Payment
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> Return a trend line to show the average amount of payme...
line
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> Return a trend line to show the average amount of payme...
x=Date_Payment_Made,y=mean Amount_Payment,color=none
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> Return a trend line to show the average amount of payme...
x asc
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> Can I get a chart of Visa payments? <ans> <sep> Step 1...
Payment_ID,Amount_Payment
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> Can I get a chart of Visa payments? <ans> <sep> Step 1...
Payment_Method_Code = 'Visa'
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> Can I get a chart of Visa payments? <ans> <sep> Step 1...
none
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> Can I get a chart of Visa payments? <ans> <sep> Step 1...
point
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> Can I get a chart of Visa payments? <ans> <sep> Step 1...
x=Payment_ID,y=Amount_Payment,color=none
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> Can I get a chart of Visa payments? <ans> <sep> Step 1...
none
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> Which Payments were processed with Visa? Get the paymen...
Payment_ID,Amount_Payment
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> Which Payments were processed with Visa? Get the paymen...
Payment_Method_Code = 'Visa'
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> Which Payments were processed with Visa? Get the paymen...
none
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> Which Payments were processed with Visa? Get the paymen...
point
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> Which Payments were processed with Visa? Get the paymen...
x=Payment_ID,y=Amount_Payment,color=none
Payments <head> Payment_ID,Settlement_ID,Payment_Method_Code,Date_Payment_Made,Amount_Payment <type> quantitative,quantitative,nominal,temporal,quantitative <data> 384,516,MasterCard,2018-02-16,241730 <line> 435,476,MasterCard,2017-05-28,448613 <line> <utterance> Which Payments were processed with Visa? Get the paymen...
none
Settlements <head> Settlement_ID,Claim_ID,Date_Claim_Made,Date_Claim_Settled,Amount_Claimed,Amount_Settled,Customer_Policy_ID <type> quantitative,quantitative,temporal,temporal,quantitative,quantitative,quantitative <data> 357,486,2018-08-07,2018-01-16,38543,1181,515 <line> 412,621,2017-08-27,2018-02-04,57669,1427,617 ...
Date_Claim_Settled
Settlements <head> Settlement_ID,Claim_ID,Date_Claim_Made,Date_Claim_Settled,Amount_Claimed,Amount_Settled,Customer_Policy_ID <type> quantitative,quantitative,temporal,temporal,quantitative,quantitative,quantitative <data> 357,486,2018-08-07,2018-01-16,38543,1181,515 <line> 412,621,2017-08-27,2018-02-04,57669,1427,617 ...
none
Settlements <head> Settlement_ID,Claim_ID,Date_Claim_Made,Date_Claim_Settled,Amount_Claimed,Amount_Settled,Customer_Policy_ID <type> quantitative,quantitative,temporal,temporal,quantitative,quantitative,quantitative <data> 357,486,2018-08-07,2018-01-16,38543,1181,515 <line> 412,621,2017-08-27,2018-02-04,57669,1427,617 ...
count Date_Claim_Settled
Settlements <head> Settlement_ID,Claim_ID,Date_Claim_Made,Date_Claim_Settled,Amount_Claimed,Amount_Settled,Customer_Policy_ID <type> quantitative,quantitative,temporal,temporal,quantitative,quantitative,quantitative <data> 357,486,2018-08-07,2018-01-16,38543,1181,515 <line> 412,621,2017-08-27,2018-02-04,57669,1427,617 ...
line
Settlements <head> Settlement_ID,Claim_ID,Date_Claim_Made,Date_Claim_Settled,Amount_Claimed,Amount_Settled,Customer_Policy_ID <type> quantitative,quantitative,temporal,temporal,quantitative,quantitative,quantitative <data> 357,486,2018-08-07,2018-01-16,38543,1181,515 <line> 412,621,2017-08-27,2018-02-04,57669,1427,617 ...
x=Date_Claim_Settled,y=count Date_Claim_Settled,color=none
Settlements <head> Settlement_ID,Claim_ID,Date_Claim_Made,Date_Claim_Settled,Amount_Claimed,Amount_Settled,Customer_Policy_ID <type> quantitative,quantitative,temporal,temporal,quantitative,quantitative,quantitative <data> 357,486,2018-08-07,2018-01-16,38543,1181,515 <line> 412,621,2017-08-27,2018-02-04,57669,1427,617 ...
none
Settlements <head> Settlement_ID,Claim_ID,Date_Claim_Made,Date_Claim_Settled,Amount_Claimed,Amount_Settled,Customer_Policy_ID <type> quantitative,quantitative,temporal,temporal,quantitative,quantitative,quantitative <data> 357,486,2018-08-07,2018-01-16,38543,1181,515 <line> 412,621,2017-08-27,2018-02-04,57669,1427,617 ...
Date_Claim_Settled
Settlements <head> Settlement_ID,Claim_ID,Date_Claim_Made,Date_Claim_Settled,Amount_Claimed,Amount_Settled,Customer_Policy_ID <type> quantitative,quantitative,temporal,temporal,quantitative,quantitative,quantitative <data> 357,486,2018-08-07,2018-01-16,38543,1181,515 <line> 412,621,2017-08-27,2018-02-04,57669,1427,617 ...
none
Settlements <head> Settlement_ID,Claim_ID,Date_Claim_Made,Date_Claim_Settled,Amount_Claimed,Amount_Settled,Customer_Policy_ID <type> quantitative,quantitative,temporal,temporal,quantitative,quantitative,quantitative <data> 357,486,2018-08-07,2018-01-16,38543,1181,515 <line> 412,621,2017-08-27,2018-02-04,57669,1427,617 ...
count Date_Claim_Settled
Settlements <head> Settlement_ID,Claim_ID,Date_Claim_Made,Date_Claim_Settled,Amount_Claimed,Amount_Settled,Customer_Policy_ID <type> quantitative,quantitative,temporal,temporal,quantitative,quantitative,quantitative <data> 357,486,2018-08-07,2018-01-16,38543,1181,515 <line> 412,621,2017-08-27,2018-02-04,57669,1427,617 ...
line
Settlements <head> Settlement_ID,Claim_ID,Date_Claim_Made,Date_Claim_Settled,Amount_Claimed,Amount_Settled,Customer_Policy_ID <type> quantitative,quantitative,temporal,temporal,quantitative,quantitative,quantitative <data> 357,486,2018-08-07,2018-01-16,38543,1181,515 <line> 412,621,2017-08-27,2018-02-04,57669,1427,617 ...
x=Date_Claim_Settled,y=count Date_Claim_Settled,color=none
Settlements <head> Settlement_ID,Claim_ID,Date_Claim_Made,Date_Claim_Settled,Amount_Claimed,Amount_Settled,Customer_Policy_ID <type> quantitative,quantitative,temporal,temporal,quantitative,quantitative,quantitative <data> 357,486,2018-08-07,2018-01-16,38543,1181,515 <line> 412,621,2017-08-27,2018-02-04,57669,1427,617 ...
x asc
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Graph the name attribute, from low to high. <ans> <sep> Step 1. Select the columns:
Name
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Graph the name attribute, from low to high. <ans> <sep> Step 1. Select the columns: Name <sep> Step 2. Filter the data:
none
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Graph the name attribute, from low to high. <ans> <sep> Step 1. Select the columns: Name <sep> Step 2. Filter the data: none <sep> Step 3. Add aggregate functions:
count Name
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Graph the name attribute, from low to high. <ans> <sep> Step 1. Select the columns: Name <sep> Step 2. Filter the data: none <sep> Step 3. Add aggregate functions: coun...
bar
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Graph the name attribute, from low to high. <ans> <sep> Step 1. Select the columns: Name <sep> Step 2. Filter the data: none <sep> Step 3. Add aggregate functions: coun...
x=Name,y=count Name,color=none
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Graph the name attribute, from low to high. <ans> <sep> Step 1. Select the columns: Name <sep> Step 2. Filter the data: none <sep> Step 3. Add aggregate functions: coun...
y asc
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Bar chart x-axis name y-axis how many names, and could you sort in ascending by the Y? <ans> <sep> Step 1. Select the columns:
Name
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Bar chart x-axis name y-axis how many names, and could you sort in ascending by the Y? <ans> <sep> Step 1. Select the columns: Name <sep> Step 2. Filter the data:
none
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Bar chart x-axis name y-axis how many names, and could you sort in ascending by the Y? <ans> <sep> Step 1. Select the columns: Name <sep> Step 2. Filter the data: none ...
count Name
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Bar chart x-axis name y-axis how many names, and could you sort in ascending by the Y? <ans> <sep> Step 1. Select the columns: Name <sep> Step 2. Filter the data: none ...
bar
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Bar chart x-axis name y-axis how many names, and could you sort in ascending by the Y? <ans> <sep> Step 1. Select the columns: Name <sep> Step 2. Filter the data: none ...
x=Name,y=count Name,color=none
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Bar chart x-axis name y-axis how many names, and could you sort in ascending by the Y? <ans> <sep> Step 1. Select the columns: Name <sep> Step 2. Filter the data: none ...
y asc
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Visualize the amount of names. <ans> <sep> Step 1. Select the columns:
Name
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Visualize the amount of names. <ans> <sep> Step 1. Select the columns: Name <sep> Step 2. Filter the data:
none
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Visualize the amount of names. <ans> <sep> Step 1. Select the columns: Name <sep> Step 2. Filter the data: none <sep> Step 3. Add aggregate functions:
count Name
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Visualize the amount of names. <ans> <sep> Step 1. Select the columns: Name <sep> Step 2. Filter the data: none <sep> Step 3. Add aggregate functions: count Name <sep>...
bar
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Visualize the amount of names. <ans> <sep> Step 1. Select the columns: Name <sep> Step 2. Filter the data: none <sep> Step 3. Add aggregate functions: count Name <sep>...
x=Name,y=count Name,color=none
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Visualize the amount of names. <ans> <sep> Step 1. Select the columns: Name <sep> Step 2. Filter the data: none <sep> Step 3. Add aggregate functions: count Name <sep>...
none
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Group and count the name attribute for visualizing a bar chart. <ans> <sep> Step 1. Select the columns:
Name
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Group and count the name attribute for visualizing a bar chart. <ans> <sep> Step 1. Select the columns: Name <sep> Step 2. Filter the data:
none
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Group and count the name attribute for visualizing a bar chart. <ans> <sep> Step 1. Select the columns: Name <sep> Step 2. Filter the data: none <sep> Step 3. Add aggre...
count Name
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Group and count the name attribute for visualizing a bar chart. <ans> <sep> Step 1. Select the columns: Name <sep> Step 2. Filter the data: none <sep> Step 3. Add aggre...
bar
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Group and count the name attribute for visualizing a bar chart. <ans> <sep> Step 1. Select the columns: Name <sep> Step 2. Filter the data: none <sep> Step 3. Add aggre...
x=Name,y=count Name,color=none
editor <head> Editor_ID,Name,Age <type> quantitative,nominal,quantitative <data> 1,Kamila Porczyk,34.0 <line> 2,Anna Powierza,35.0 <line> <utterance> Group and count the name attribute for visualizing a bar chart. <ans> <sep> Step 1. Select the columns: Name <sep> Step 2. Filter the data: none <sep> Step 3. Add aggre...
none
customer <head> cust_ID,cust_name,acc_type,acc_bal,no_of_loans,credit_score,branch_ID,state <type> quantitative,nominal,nominal,quantitative,quantitative,quantitative,quantitative,nominal <data> 1,Mary,saving,2000,2,30,2,Utah <line> 2,Jack,checking,1000,1,20,1,Texas <line> <utterance> What's the average account balanc...
acc_type,acc_bal
customer <head> cust_ID,cust_name,acc_type,acc_bal,no_of_loans,credit_score,branch_ID,state <type> quantitative,nominal,nominal,quantitative,quantitative,quantitative,quantitative,nominal <data> 1,Mary,saving,2000,2,30,2,Utah <line> 2,Jack,checking,1000,1,20,1,Texas <line> <utterance> What's the average account balanc...
credit_score lt 50
customer <head> cust_ID,cust_name,acc_type,acc_bal,no_of_loans,credit_score,branch_ID,state <type> quantitative,nominal,nominal,quantitative,quantitative,quantitative,quantitative,nominal <data> 1,Mary,saving,2000,2,30,2,Utah <line> 2,Jack,checking,1000,1,20,1,Texas <line> <utterance> What's the average account balanc...
mean acc_bal
customer <head> cust_ID,cust_name,acc_type,acc_bal,no_of_loans,credit_score,branch_ID,state <type> quantitative,nominal,nominal,quantitative,quantitative,quantitative,quantitative,nominal <data> 1,Mary,saving,2000,2,30,2,Utah <line> 2,Jack,checking,1000,1,20,1,Texas <line> <utterance> What's the average account balanc...
arc
customer <head> cust_ID,cust_name,acc_type,acc_bal,no_of_loans,credit_score,branch_ID,state <type> quantitative,nominal,nominal,quantitative,quantitative,quantitative,quantitative,nominal <data> 1,Mary,saving,2000,2,30,2,Utah <line> 2,Jack,checking,1000,1,20,1,Texas <line> <utterance> What's the average account balanc...
x=acc_type,y=mean acc_bal,color=none
customer <head> cust_ID,cust_name,acc_type,acc_bal,no_of_loans,credit_score,branch_ID,state <type> quantitative,nominal,nominal,quantitative,quantitative,quantitative,quantitative,nominal <data> 1,Mary,saving,2000,2,30,2,Utah <line> 2,Jack,checking,1000,1,20,1,Texas <line> <utterance> What's the average account balanc...
none
customer <head> cust_ID,cust_name,acc_type,acc_bal,no_of_loans,credit_score,branch_ID,state <type> quantitative,nominal,nominal,quantitative,quantitative,quantitative,quantitative,nominal <data> 1,Mary,saving,2000,2,30,2,Utah <line> 2,Jack,checking,1000,1,20,1,Texas <line> <utterance> For each account type, find the a...
acc_type,acc_bal
customer <head> cust_ID,cust_name,acc_type,acc_bal,no_of_loans,credit_score,branch_ID,state <type> quantitative,nominal,nominal,quantitative,quantitative,quantitative,quantitative,nominal <data> 1,Mary,saving,2000,2,30,2,Utah <line> 2,Jack,checking,1000,1,20,1,Texas <line> <utterance> For each account type, find the a...
credit_score lt 50
customer <head> cust_ID,cust_name,acc_type,acc_bal,no_of_loans,credit_score,branch_ID,state <type> quantitative,nominal,nominal,quantitative,quantitative,quantitative,quantitative,nominal <data> 1,Mary,saving,2000,2,30,2,Utah <line> 2,Jack,checking,1000,1,20,1,Texas <line> <utterance> For each account type, find the a...
mean acc_bal
customer <head> cust_ID,cust_name,acc_type,acc_bal,no_of_loans,credit_score,branch_ID,state <type> quantitative,nominal,nominal,quantitative,quantitative,quantitative,quantitative,nominal <data> 1,Mary,saving,2000,2,30,2,Utah <line> 2,Jack,checking,1000,1,20,1,Texas <line> <utterance> For each account type, find the a...
arc
customer <head> cust_ID,cust_name,acc_type,acc_bal,no_of_loans,credit_score,branch_ID,state <type> quantitative,nominal,nominal,quantitative,quantitative,quantitative,quantitative,nominal <data> 1,Mary,saving,2000,2,30,2,Utah <line> 2,Jack,checking,1000,1,20,1,Texas <line> <utterance> For each account type, find the a...
x=acc_type,y=mean acc_bal,color=none
customer <head> cust_ID,cust_name,acc_type,acc_bal,no_of_loans,credit_score,branch_ID,state <type> quantitative,nominal,nominal,quantitative,quantitative,quantitative,quantitative,nominal <data> 1,Mary,saving,2000,2,30,2,Utah <line> 2,Jack,checking,1000,1,20,1,Texas <line> <utterance> For each account type, find the a...
none
Things <head> thing_id,organization_id,Type_of_Thing_Code,service_type_code,service_details <type> quantitative,quantitative,nominal,nominal,nominal <data> 1,8,Electronics,Check,Unsatisfied <line> 2,8,Electronics,Cleanning,Satisfied <line> <utterance> How many items are there based on the type of thing? In asc order. ...
Type_of_Thing_Code
Things <head> thing_id,organization_id,Type_of_Thing_Code,service_type_code,service_details <type> quantitative,quantitative,nominal,nominal,nominal <data> 1,8,Electronics,Check,Unsatisfied <line> 2,8,Electronics,Cleanning,Satisfied <line> <utterance> How many items are there based on the type of thing? In asc order. ...
none
Things <head> thing_id,organization_id,Type_of_Thing_Code,service_type_code,service_details <type> quantitative,quantitative,nominal,nominal,nominal <data> 1,8,Electronics,Check,Unsatisfied <line> 2,8,Electronics,Cleanning,Satisfied <line> <utterance> How many items are there based on the type of thing? In asc order. ...
count Type_of_Thing_Code
Things <head> thing_id,organization_id,Type_of_Thing_Code,service_type_code,service_details <type> quantitative,quantitative,nominal,nominal,nominal <data> 1,8,Electronics,Check,Unsatisfied <line> 2,8,Electronics,Cleanning,Satisfied <line> <utterance> How many items are there based on the type of thing? In asc order. ...
bar
Things <head> thing_id,organization_id,Type_of_Thing_Code,service_type_code,service_details <type> quantitative,quantitative,nominal,nominal,nominal <data> 1,8,Electronics,Check,Unsatisfied <line> 2,8,Electronics,Cleanning,Satisfied <line> <utterance> How many items are there based on the type of thing? In asc order. ...
x=Type_of_Thing_Code,y=count Type_of_Thing_Code,color=none
Things <head> thing_id,organization_id,Type_of_Thing_Code,service_type_code,service_details <type> quantitative,quantitative,nominal,nominal,nominal <data> 1,8,Electronics,Check,Unsatisfied <line> 2,8,Electronics,Cleanning,Satisfied <line> <utterance> How many items are there based on the type of thing? In asc order. ...
y asc
Things <head> thing_id,organization_id,Type_of_Thing_Code,service_type_code,service_details <type> quantitative,quantitative,nominal,nominal,nominal <data> 1,8,Electronics,Check,Unsatisfied <line> 2,8,Electronics,Cleanning,Satisfied <line> <utterance> Compare the number of items in the type of each thing using a bar c...
Type_of_Thing_Code
Things <head> thing_id,organization_id,Type_of_Thing_Code,service_type_code,service_details <type> quantitative,quantitative,nominal,nominal,nominal <data> 1,8,Electronics,Check,Unsatisfied <line> 2,8,Electronics,Cleanning,Satisfied <line> <utterance> Compare the number of items in the type of each thing using a bar c...
none
Things <head> thing_id,organization_id,Type_of_Thing_Code,service_type_code,service_details <type> quantitative,quantitative,nominal,nominal,nominal <data> 1,8,Electronics,Check,Unsatisfied <line> 2,8,Electronics,Cleanning,Satisfied <line> <utterance> Compare the number of items in the type of each thing using a bar c...
count Type_of_Thing_Code
Things <head> thing_id,organization_id,Type_of_Thing_Code,service_type_code,service_details <type> quantitative,quantitative,nominal,nominal,nominal <data> 1,8,Electronics,Check,Unsatisfied <line> 2,8,Electronics,Cleanning,Satisfied <line> <utterance> Compare the number of items in the type of each thing using a bar c...
bar
Things <head> thing_id,organization_id,Type_of_Thing_Code,service_type_code,service_details <type> quantitative,quantitative,nominal,nominal,nominal <data> 1,8,Electronics,Check,Unsatisfied <line> 2,8,Electronics,Cleanning,Satisfied <line> <utterance> Compare the number of items in the type of each thing using a bar c...
x=Type_of_Thing_Code,y=count Type_of_Thing_Code,color=none
Things <head> thing_id,organization_id,Type_of_Thing_Code,service_type_code,service_details <type> quantitative,quantitative,nominal,nominal,nominal <data> 1,8,Electronics,Check,Unsatisfied <line> 2,8,Electronics,Cleanning,Satisfied <line> <utterance> Compare the number of items in the type of each thing using a bar c...
y asc
Things <head> thing_id,organization_id,Type_of_Thing_Code,service_type_code,service_details <type> quantitative,quantitative,nominal,nominal,nominal <data> 1,8,Electronics,Check,Unsatisfied <line> 2,8,Electronics,Cleanning,Satisfied <line> <utterance> Chart the count of each type of thing. <ans> <sep> Step 1. Select ...
Type_of_Thing_Code
Things <head> thing_id,organization_id,Type_of_Thing_Code,service_type_code,service_details <type> quantitative,quantitative,nominal,nominal,nominal <data> 1,8,Electronics,Check,Unsatisfied <line> 2,8,Electronics,Cleanning,Satisfied <line> <utterance> Chart the count of each type of thing. <ans> <sep> Step 1. Select ...
none
Things <head> thing_id,organization_id,Type_of_Thing_Code,service_type_code,service_details <type> quantitative,quantitative,nominal,nominal,nominal <data> 1,8,Electronics,Check,Unsatisfied <line> 2,8,Electronics,Cleanning,Satisfied <line> <utterance> Chart the count of each type of thing. <ans> <sep> Step 1. Select ...
count Type_of_Thing_Code
Things <head> thing_id,organization_id,Type_of_Thing_Code,service_type_code,service_details <type> quantitative,quantitative,nominal,nominal,nominal <data> 1,8,Electronics,Check,Unsatisfied <line> 2,8,Electronics,Cleanning,Satisfied <line> <utterance> Chart the count of each type of thing. <ans> <sep> Step 1. Select ...
bar
Things <head> thing_id,organization_id,Type_of_Thing_Code,service_type_code,service_details <type> quantitative,quantitative,nominal,nominal,nominal <data> 1,8,Electronics,Check,Unsatisfied <line> 2,8,Electronics,Cleanning,Satisfied <line> <utterance> Chart the count of each type of thing. <ans> <sep> Step 1. Select ...
x=Type_of_Thing_Code,y=count Type_of_Thing_Code,color=none
Things <head> thing_id,organization_id,Type_of_Thing_Code,service_type_code,service_details <type> quantitative,quantitative,nominal,nominal,nominal <data> 1,8,Electronics,Check,Unsatisfied <line> 2,8,Electronics,Cleanning,Satisfied <line> <utterance> Chart the count of each type of thing. <ans> <sep> Step 1. Select ...
none
Things <head> thing_id,organization_id,Type_of_Thing_Code,service_type_code,service_details <type> quantitative,quantitative,nominal,nominal,nominal <data> 1,8,Electronics,Check,Unsatisfied <line> 2,8,Electronics,Cleanning,Satisfied <line> <utterance> Compare the number of items in the type of each thing using a bar c...
Type_of_Thing_Code
Things <head> thing_id,organization_id,Type_of_Thing_Code,service_type_code,service_details <type> quantitative,quantitative,nominal,nominal,nominal <data> 1,8,Electronics,Check,Unsatisfied <line> 2,8,Electronics,Cleanning,Satisfied <line> <utterance> Compare the number of items in the type of each thing using a bar c...
none