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people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Visualize the relationship between People_ID and Weight. <ans> <sep> ...
x=People_ID,y=Weight,color=none
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Visualize the relationship between People_ID and Weight. <ans> <sep> ...
none
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Show how people id and weight are related. <ans> <sep> Step 1. Select t...
People_ID,Weight
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Show how people id and weight are related. <ans> <sep> Step 1. Select t...
none
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Show how people id and weight are related. <ans> <sep> Step 1. Select t...
none
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Show how people id and weight are related. <ans> <sep> Step 1. Select t...
point
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Show how people id and weight are related. <ans> <sep> Step 1. Select t...
x=People_ID,y=Weight,color=none
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Show how people id and weight are related. <ans> <sep> Step 1. Select t...
none
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Show me the correlation between People_ID and Height in a scatter char...
People_ID,Height
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Show me the correlation between People_ID and Height in a scatter char...
none
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Show me the correlation between People_ID and Height in a scatter char...
none
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Show me the correlation between People_ID and Height in a scatter char...
point
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Show me the correlation between People_ID and Height in a scatter char...
x=People_ID,y=Height,color=none
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Show me the correlation between People_ID and Height in a scatter char...
none
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Correlation between People_ID & Height in a chart. <ans> <sep> Step 1. ...
People_ID,Height
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Correlation between People_ID & Height in a chart. <ans> <sep> Step 1. ...
none
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Correlation between People_ID & Height in a chart. <ans> <sep> Step 1. ...
none
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Correlation between People_ID & Height in a chart. <ans> <sep> Step 1. ...
point
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Correlation between People_ID & Height in a chart. <ans> <sep> Step 1. ...
x=People_ID,y=Height,color=none
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Correlation between People_ID & Height in a chart. <ans> <sep> Step 1. ...
none
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Plot a scatter chart, height by weight. <ans> <sep> Step 1. Select the ...
Height,Weight
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Plot a scatter chart, height by weight. <ans> <sep> Step 1. Select the ...
none
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Plot a scatter chart, height by weight. <ans> <sep> Step 1. Select the ...
none
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Plot a scatter chart, height by weight. <ans> <sep> Step 1. Select the ...
point
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Plot a scatter chart, height by weight. <ans> <sep> Step 1. Select the ...
x=Height,y=Weight,color=none
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Plot a scatter chart, height by weight. <ans> <sep> Step 1. Select the ...
none
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Are heavier people taller? <ans> <sep> Step 1. Select the columns:
Height,Weight
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Are heavier people taller? <ans> <sep> Step 1. Select the columns: Heig...
none
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Are heavier people taller? <ans> <sep> Step 1. Select the columns: Heig...
none
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Are heavier people taller? <ans> <sep> Step 1. Select the columns: Heig...
point
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Are heavier people taller? <ans> <sep> Step 1. Select the columns: Heig...
x=Height,y=Weight,color=none
people <head> People_ID,Sex,Name,Date_of_Birth,Height,Weight <type> quantitative,nominal,nominal,temporal,quantitative,quantitative <data> 1,M,Hubert Henno,06.10.1976,188.0,83.0 <line> 2,M,Dominique Daquin,10.11.1972,197.0,85.0 <line> <utterance> Are heavier people taller? <ans> <sep> Step 1. Select the columns: Heig...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> What is the relationship between Body_Builder_ID and Clean_Jerk? <ans> <sep> Step 1. Select the c...
Body_Builder_ID,Clean_Jerk
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> What is the relationship between Body_Builder_ID and Clean_Jerk? <ans> <sep> Step 1. Select the c...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> What is the relationship between Body_Builder_ID and Clean_Jerk? <ans> <sep> Step 1. Select the c...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> What is the relationship between Body_Builder_ID and Clean_Jerk? <ans> <sep> Step 1. Select the c...
point
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> What is the relationship between Body_Builder_ID and Clean_Jerk? <ans> <sep> Step 1. Select the c...
x=Body_Builder_ID,y=Clean_Jerk,color=none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> What is the relationship between Body_Builder_ID and Clean_Jerk? <ans> <sep> Step 1. Select the c...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> Is builder id and clean jerk correlated? <ans> <sep> Step 1. Select the columns:
Body_Builder_ID,Clean_Jerk
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> Is builder id and clean jerk correlated? <ans> <sep> Step 1. Select the columns: Body_Builder_ID,C...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> Is builder id and clean jerk correlated? <ans> <sep> Step 1. Select the columns: Body_Builder_ID,C...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> Is builder id and clean jerk correlated? <ans> <sep> Step 1. Select the columns: Body_Builder_ID,C...
point
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> Is builder id and clean jerk correlated? <ans> <sep> Step 1. Select the columns: Body_Builder_ID,C...
x=Body_Builder_ID,y=Clean_Jerk,color=none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> Is builder id and clean jerk correlated? <ans> <sep> Step 1. Select the columns: Body_Builder_ID,C...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> What is the relationship between Snatch and Total? <ans> <sep> Step 1. Select the columns:
Snatch,Total
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> What is the relationship between Snatch and Total? <ans> <sep> Step 1. Select the columns: Snatch...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> What is the relationship between Snatch and Total? <ans> <sep> Step 1. Select the columns: Snatch...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> What is the relationship between Snatch and Total? <ans> <sep> Step 1. Select the columns: Snatch...
point
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> What is the relationship between Snatch and Total? <ans> <sep> Step 1. Select the columns: Snatch...
x=Snatch,y=Total,color=none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> What is the relationship between Snatch and Total? <ans> <sep> Step 1. Select the columns: Snatch...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> Snatch vs. Total. <ans> <sep> Step 1. Select the columns:
Snatch,Total
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> Snatch vs. Total. <ans> <sep> Step 1. Select the columns: Snatch,Total <sep> Step 2. Filter the dat...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> Snatch vs. Total. <ans> <sep> Step 1. Select the columns: Snatch,Total <sep> Step 2. Filter the dat...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> Snatch vs. Total. <ans> <sep> Step 1. Select the columns: Snatch,Total <sep> Step 2. Filter the dat...
point
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> Snatch vs. Total. <ans> <sep> Step 1. Select the columns: Snatch,Total <sep> Step 2. Filter the dat...
x=Snatch,y=Total,color=none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> Snatch vs. Total. <ans> <sep> Step 1. Select the columns: Snatch,Total <sep> Step 2. Filter the dat...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> A scatter chart shows the correlation between People_ID and Snatch. <ans> <sep> Step 1. Select the...
People_ID,Snatch
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> A scatter chart shows the correlation between People_ID and Snatch. <ans> <sep> Step 1. Select the...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> A scatter chart shows the correlation between People_ID and Snatch. <ans> <sep> Step 1. Select the...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> A scatter chart shows the correlation between People_ID and Snatch. <ans> <sep> Step 1. Select the...
point
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> A scatter chart shows the correlation between People_ID and Snatch. <ans> <sep> Step 1. Select the...
x=People_ID,y=Snatch,color=none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> A scatter chart shows the correlation between People_ID and Snatch. <ans> <sep> Step 1. Select the...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> show people_id and snatch. <ans> <sep> Step 1. Select the columns:
People_ID,Snatch
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> show people_id and snatch. <ans> <sep> Step 1. Select the columns: People_ID,Snatch <sep> Step 2. F...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> show people_id and snatch. <ans> <sep> Step 1. Select the columns: People_ID,Snatch <sep> Step 2. F...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> show people_id and snatch. <ans> <sep> Step 1. Select the columns: People_ID,Snatch <sep> Step 2. F...
point
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> show people_id and snatch. <ans> <sep> Step 1. Select the columns: People_ID,Snatch <sep> Step 2. F...
x=People_ID,y=Snatch,color=none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> show people_id and snatch. <ans> <sep> Step 1. Select the columns: People_ID,Snatch <sep> Step 2. F...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> Return a scatter chart about the correlation between People_ID and Clean_Jerk. <ans> <sep> Step 1...
People_ID,Clean_Jerk
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> Return a scatter chart about the correlation between People_ID and Clean_Jerk. <ans> <sep> Step 1...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> Return a scatter chart about the correlation between People_ID and Clean_Jerk. <ans> <sep> Step 1...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> Return a scatter chart about the correlation between People_ID and Clean_Jerk. <ans> <sep> Step 1...
point
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> Return a scatter chart about the correlation between People_ID and Clean_Jerk. <ans> <sep> Step 1...
x=People_ID,y=Clean_Jerk,color=none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> Return a scatter chart about the correlation between People_ID and Clean_Jerk. <ans> <sep> Step 1...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> People_ID & Clean_Jerk relationship. <ans> <sep> Step 1. Select the columns:
People_ID,Clean_Jerk
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> People_ID & Clean_Jerk relationship. <ans> <sep> Step 1. Select the columns: People_ID,Clean_Jerk <...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> People_ID & Clean_Jerk relationship. <ans> <sep> Step 1. Select the columns: People_ID,Clean_Jerk <...
none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> People_ID & Clean_Jerk relationship. <ans> <sep> Step 1. Select the columns: People_ID,Clean_Jerk <...
point
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> People_ID & Clean_Jerk relationship. <ans> <sep> Step 1. Select the columns: People_ID,Clean_Jerk <...
x=People_ID,y=Clean_Jerk,color=none
body_builder <head> Body_Builder_ID,People_ID,Snatch,Clean_Jerk,Total <type> quantitative,quantitative,quantitative,quantitative,quantitative <data> 1,1,142.5,175.0,317.5 <line> 2,2,137.5,177.5,315.0 <line> <utterance> People_ID & Clean_Jerk relationship. <ans> <sep> Step 1. Select the columns: People_ID,Clean_Jerk <...
none
candidate <head> Candidate_ID,People_ID,Poll_Source,Date,Support_rate,Consider_rate,Oppose_rate,Unsure_rate <type> temporal,quantitative,nominal,temporal,quantitative,quantitative,quantitative,quantitative <data> 1,1,WNBC/Marist Poll,"Feb 12–15, 2007",0.25,0.3,0.43,0.2 <line> 2,3,WNBC/Marist Poll,"Feb 12–15, 2007",0.17...
Support_rate,Oppose_rate
candidate <head> Candidate_ID,People_ID,Poll_Source,Date,Support_rate,Consider_rate,Oppose_rate,Unsure_rate <type> temporal,quantitative,nominal,temporal,quantitative,quantitative,quantitative,quantitative <data> 1,1,WNBC/Marist Poll,"Feb 12–15, 2007",0.25,0.3,0.43,0.2 <line> 2,3,WNBC/Marist Poll,"Feb 12–15, 2007",0.17...
none
candidate <head> Candidate_ID,People_ID,Poll_Source,Date,Support_rate,Consider_rate,Oppose_rate,Unsure_rate <type> temporal,quantitative,nominal,temporal,quantitative,quantitative,quantitative,quantitative <data> 1,1,WNBC/Marist Poll,"Feb 12–15, 2007",0.25,0.3,0.43,0.2 <line> 2,3,WNBC/Marist Poll,"Feb 12–15, 2007",0.17...
none
candidate <head> Candidate_ID,People_ID,Poll_Source,Date,Support_rate,Consider_rate,Oppose_rate,Unsure_rate <type> temporal,quantitative,nominal,temporal,quantitative,quantitative,quantitative,quantitative <data> 1,1,WNBC/Marist Poll,"Feb 12–15, 2007",0.25,0.3,0.43,0.2 <line> 2,3,WNBC/Marist Poll,"Feb 12–15, 2007",0.17...
point
candidate <head> Candidate_ID,People_ID,Poll_Source,Date,Support_rate,Consider_rate,Oppose_rate,Unsure_rate <type> temporal,quantitative,nominal,temporal,quantitative,quantitative,quantitative,quantitative <data> 1,1,WNBC/Marist Poll,"Feb 12–15, 2007",0.25,0.3,0.43,0.2 <line> 2,3,WNBC/Marist Poll,"Feb 12–15, 2007",0.17...
x=Support_rate,y=Oppose_rate,color=none
candidate <head> Candidate_ID,People_ID,Poll_Source,Date,Support_rate,Consider_rate,Oppose_rate,Unsure_rate <type> temporal,quantitative,nominal,temporal,quantitative,quantitative,quantitative,quantitative <data> 1,1,WNBC/Marist Poll,"Feb 12–15, 2007",0.25,0.3,0.43,0.2 <line> 2,3,WNBC/Marist Poll,"Feb 12–15, 2007",0.17...
none
candidate <head> Candidate_ID,People_ID,Poll_Source,Date,Support_rate,Consider_rate,Oppose_rate,Unsure_rate <type> temporal,quantitative,nominal,temporal,quantitative,quantitative,quantitative,quantitative <data> 1,1,WNBC/Marist Poll,"Feb 12–15, 2007",0.25,0.3,0.43,0.2 <line> 2,3,WNBC/Marist Poll,"Feb 12–15, 2007",0.17...
Support_rate,Oppose_rate
candidate <head> Candidate_ID,People_ID,Poll_Source,Date,Support_rate,Consider_rate,Oppose_rate,Unsure_rate <type> temporal,quantitative,nominal,temporal,quantitative,quantitative,quantitative,quantitative <data> 1,1,WNBC/Marist Poll,"Feb 12–15, 2007",0.25,0.3,0.43,0.2 <line> 2,3,WNBC/Marist Poll,"Feb 12–15, 2007",0.17...
none
candidate <head> Candidate_ID,People_ID,Poll_Source,Date,Support_rate,Consider_rate,Oppose_rate,Unsure_rate <type> temporal,quantitative,nominal,temporal,quantitative,quantitative,quantitative,quantitative <data> 1,1,WNBC/Marist Poll,"Feb 12–15, 2007",0.25,0.3,0.43,0.2 <line> 2,3,WNBC/Marist Poll,"Feb 12–15, 2007",0.17...
none
candidate <head> Candidate_ID,People_ID,Poll_Source,Date,Support_rate,Consider_rate,Oppose_rate,Unsure_rate <type> temporal,quantitative,nominal,temporal,quantitative,quantitative,quantitative,quantitative <data> 1,1,WNBC/Marist Poll,"Feb 12–15, 2007",0.25,0.3,0.43,0.2 <line> 2,3,WNBC/Marist Poll,"Feb 12–15, 2007",0.17...
point
candidate <head> Candidate_ID,People_ID,Poll_Source,Date,Support_rate,Consider_rate,Oppose_rate,Unsure_rate <type> temporal,quantitative,nominal,temporal,quantitative,quantitative,quantitative,quantitative <data> 1,1,WNBC/Marist Poll,"Feb 12–15, 2007",0.25,0.3,0.43,0.2 <line> 2,3,WNBC/Marist Poll,"Feb 12–15, 2007",0.17...
x=Support_rate,y=Oppose_rate,color=none
candidate <head> Candidate_ID,People_ID,Poll_Source,Date,Support_rate,Consider_rate,Oppose_rate,Unsure_rate <type> temporal,quantitative,nominal,temporal,quantitative,quantitative,quantitative,quantitative <data> 1,1,WNBC/Marist Poll,"Feb 12–15, 2007",0.25,0.3,0.43,0.2 <line> 2,3,WNBC/Marist Poll,"Feb 12–15, 2007",0.17...
none
candidate <head> Candidate_ID,People_ID,Poll_Source,Date,Support_rate,Consider_rate,Oppose_rate,Unsure_rate <type> temporal,quantitative,nominal,temporal,quantitative,quantitative,quantitative,quantitative <data> 1,1,WNBC/Marist Poll,"Feb 12–15, 2007",0.25,0.3,0.43,0.2 <line> 2,3,WNBC/Marist Poll,"Feb 12–15, 2007",0.17...
Support_rate,Consider_rate
candidate <head> Candidate_ID,People_ID,Poll_Source,Date,Support_rate,Consider_rate,Oppose_rate,Unsure_rate <type> temporal,quantitative,nominal,temporal,quantitative,quantitative,quantitative,quantitative <data> 1,1,WNBC/Marist Poll,"Feb 12–15, 2007",0.25,0.3,0.43,0.2 <line> 2,3,WNBC/Marist Poll,"Feb 12–15, 2007",0.17...
none
candidate <head> Candidate_ID,People_ID,Poll_Source,Date,Support_rate,Consider_rate,Oppose_rate,Unsure_rate <type> temporal,quantitative,nominal,temporal,quantitative,quantitative,quantitative,quantitative <data> 1,1,WNBC/Marist Poll,"Feb 12–15, 2007",0.25,0.3,0.43,0.2 <line> 2,3,WNBC/Marist Poll,"Feb 12–15, 2007",0.17...
none
candidate <head> Candidate_ID,People_ID,Poll_Source,Date,Support_rate,Consider_rate,Oppose_rate,Unsure_rate <type> temporal,quantitative,nominal,temporal,quantitative,quantitative,quantitative,quantitative <data> 1,1,WNBC/Marist Poll,"Feb 12–15, 2007",0.25,0.3,0.43,0.2 <line> 2,3,WNBC/Marist Poll,"Feb 12–15, 2007",0.17...
point
candidate <head> Candidate_ID,People_ID,Poll_Source,Date,Support_rate,Consider_rate,Oppose_rate,Unsure_rate <type> temporal,quantitative,nominal,temporal,quantitative,quantitative,quantitative,quantitative <data> 1,1,WNBC/Marist Poll,"Feb 12–15, 2007",0.25,0.3,0.43,0.2 <line> 2,3,WNBC/Marist Poll,"Feb 12–15, 2007",0.17...
x=Support_rate,y=Consider_rate,color=none
candidate <head> Candidate_ID,People_ID,Poll_Source,Date,Support_rate,Consider_rate,Oppose_rate,Unsure_rate <type> temporal,quantitative,nominal,temporal,quantitative,quantitative,quantitative,quantitative <data> 1,1,WNBC/Marist Poll,"Feb 12–15, 2007",0.25,0.3,0.43,0.2 <line> 2,3,WNBC/Marist Poll,"Feb 12–15, 2007",0.17...
none
candidate <head> Candidate_ID,People_ID,Poll_Source,Date,Support_rate,Consider_rate,Oppose_rate,Unsure_rate <type> temporal,quantitative,nominal,temporal,quantitative,quantitative,quantitative,quantitative <data> 1,1,WNBC/Marist Poll,"Feb 12–15, 2007",0.25,0.3,0.43,0.2 <line> 2,3,WNBC/Marist Poll,"Feb 12–15, 2007",0.17...
Support_rate,Consider_rate
candidate <head> Candidate_ID,People_ID,Poll_Source,Date,Support_rate,Consider_rate,Oppose_rate,Unsure_rate <type> temporal,quantitative,nominal,temporal,quantitative,quantitative,quantitative,quantitative <data> 1,1,WNBC/Marist Poll,"Feb 12–15, 2007",0.25,0.3,0.43,0.2 <line> 2,3,WNBC/Marist Poll,"Feb 12–15, 2007",0.17...
none