prompt stringlengths 180 1.49k | completion stringclasses 860
values |
|---|---|
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | date_address_from,monthly_rental,other_details |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | none |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | mean monthly_rental |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | bar |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | x=date_address_from,y=mean monthly_rental,color=other_details |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | none |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | date_address_from,monthly_rental,other_details |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | none |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | mean monthly_rental |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | bar |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | x=date_address_from,y=mean monthly_rental,color=other_details |
Student_Addresses <head> student_id,address_id,date_address_from,date_address_to,monthly_rental,other_details <type> quantitative,quantitative,temporal,temporal,quantitative,nominal <data> 6,12,2017-10-16 13:56:34,2018-03-15 10:37:19,826.4319,house <line> 3,18,2017-06-19 12:39:39,2018-03-02 00:19:57,1113.0996,house <li... | none |
company <head> Company_ID,Name,Headquarters,Industry,Sales_in_Billion,Profits_in_Billion,Assets_in_Billion,Market_Value_in_Billion <type> quantitative,nominal,nominal,nominal,quantitative,quantitative,quantitative,quantitative <data> 1.0,ExxonMobil,USA,Oil and gas,433.5,41.1,331.1,407.4 <line> 2.0,JPMorgan Chase,USA,Ba... | Headquarters,Industry |
company <head> Company_ID,Name,Headquarters,Industry,Sales_in_Billion,Profits_in_Billion,Assets_in_Billion,Market_Value_in_Billion <type> quantitative,nominal,nominal,nominal,quantitative,quantitative,quantitative,quantitative <data> 1.0,ExxonMobil,USA,Oil and gas,433.5,41.1,331.1,407.4 <line> 2.0,JPMorgan Chase,USA,Ba... | none |
company <head> Company_ID,Name,Headquarters,Industry,Sales_in_Billion,Profits_in_Billion,Assets_in_Billion,Market_Value_in_Billion <type> quantitative,nominal,nominal,nominal,quantitative,quantitative,quantitative,quantitative <data> 1.0,ExxonMobil,USA,Oil and gas,433.5,41.1,331.1,407.4 <line> 2.0,JPMorgan Chase,USA,Ba... | count headquarters |
company <head> Company_ID,Name,Headquarters,Industry,Sales_in_Billion,Profits_in_Billion,Assets_in_Billion,Market_Value_in_Billion <type> quantitative,nominal,nominal,nominal,quantitative,quantitative,quantitative,quantitative <data> 1.0,ExxonMobil,USA,Oil and gas,433.5,41.1,331.1,407.4 <line> 2.0,JPMorgan Chase,USA,Ba... | bar |
company <head> Company_ID,Name,Headquarters,Industry,Sales_in_Billion,Profits_in_Billion,Assets_in_Billion,Market_Value_in_Billion <type> quantitative,nominal,nominal,nominal,quantitative,quantitative,quantitative,quantitative <data> 1.0,ExxonMobil,USA,Oil and gas,433.5,41.1,331.1,407.4 <line> 2.0,JPMorgan Chase,USA,Ba... | x=Headquarters,y=count Headquarters,color=Industry |
company <head> Company_ID,Name,Headquarters,Industry,Sales_in_Billion,Profits_in_Billion,Assets_in_Billion,Market_Value_in_Billion <type> quantitative,nominal,nominal,nominal,quantitative,quantitative,quantitative,quantitative <data> 1.0,ExxonMobil,USA,Oil and gas,433.5,41.1,331.1,407.4 <line> 2.0,JPMorgan Chase,USA,Ba... | none |
company <head> Company_ID,Name,Headquarters,Industry,Sales_in_Billion,Profits_in_Billion,Assets_in_Billion,Market_Value_in_Billion <type> quantitative,nominal,nominal,nominal,quantitative,quantitative,quantitative,quantitative <data> 1.0,ExxonMobil,USA,Oil and gas,433.5,41.1,331.1,407.4 <line> 2.0,JPMorgan Chase,USA,Ba... | Headquarters,Industry |
company <head> Company_ID,Name,Headquarters,Industry,Sales_in_Billion,Profits_in_Billion,Assets_in_Billion,Market_Value_in_Billion <type> quantitative,nominal,nominal,nominal,quantitative,quantitative,quantitative,quantitative <data> 1.0,ExxonMobil,USA,Oil and gas,433.5,41.1,331.1,407.4 <line> 2.0,JPMorgan Chase,USA,Ba... | none |
company <head> Company_ID,Name,Headquarters,Industry,Sales_in_Billion,Profits_in_Billion,Assets_in_Billion,Market_Value_in_Billion <type> quantitative,nominal,nominal,nominal,quantitative,quantitative,quantitative,quantitative <data> 1.0,ExxonMobil,USA,Oil and gas,433.5,41.1,331.1,407.4 <line> 2.0,JPMorgan Chase,USA,Ba... | count headquarters |
company <head> Company_ID,Name,Headquarters,Industry,Sales_in_Billion,Profits_in_Billion,Assets_in_Billion,Market_Value_in_Billion <type> quantitative,nominal,nominal,nominal,quantitative,quantitative,quantitative,quantitative <data> 1.0,ExxonMobil,USA,Oil and gas,433.5,41.1,331.1,407.4 <line> 2.0,JPMorgan Chase,USA,Ba... | bar |
company <head> Company_ID,Name,Headquarters,Industry,Sales_in_Billion,Profits_in_Billion,Assets_in_Billion,Market_Value_in_Billion <type> quantitative,nominal,nominal,nominal,quantitative,quantitative,quantitative,quantitative <data> 1.0,ExxonMobil,USA,Oil and gas,433.5,41.1,331.1,407.4 <line> 2.0,JPMorgan Chase,USA,Ba... | x=Headquarters,y=count Headquarters,color=Industry |
company <head> Company_ID,Name,Headquarters,Industry,Sales_in_Billion,Profits_in_Billion,Assets_in_Billion,Market_Value_in_Billion <type> quantitative,nominal,nominal,nominal,quantitative,quantitative,quantitative,quantitative <data> 1.0,ExxonMobil,USA,Oil and gas,433.5,41.1,331.1,407.4 <line> 2.0,JPMorgan Chase,USA,Ba... | none |
game <head> stadium_id,id,Season,Date,Home_team,Away_team,Score,Competition <type> quantitative,quantitative,quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1,2007,18 May 2007,Quruvchi,Pakhtakor,1–1,League <line> 2,2,2007,22 September 2007,Pakhtakor,Quruvchi,0–0,League <line> <utterance> Stack bar chart... | Home_team,Away_team |
game <head> stadium_id,id,Season,Date,Home_team,Away_team,Score,Competition <type> quantitative,quantitative,quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1,2007,18 May 2007,Quruvchi,Pakhtakor,1–1,League <line> 2,2,2007,22 September 2007,Pakhtakor,Quruvchi,0–0,League <line> <utterance> Stack bar chart... | none |
game <head> stadium_id,id,Season,Date,Home_team,Away_team,Score,Competition <type> quantitative,quantitative,quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1,2007,18 May 2007,Quruvchi,Pakhtakor,1–1,League <line> 2,2,2007,22 September 2007,Pakhtakor,Quruvchi,0–0,League <line> <utterance> Stack bar chart... | count home_team |
game <head> stadium_id,id,Season,Date,Home_team,Away_team,Score,Competition <type> quantitative,quantitative,quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1,2007,18 May 2007,Quruvchi,Pakhtakor,1–1,League <line> 2,2,2007,22 September 2007,Pakhtakor,Quruvchi,0–0,League <line> <utterance> Stack bar chart... | bar |
game <head> stadium_id,id,Season,Date,Home_team,Away_team,Score,Competition <type> quantitative,quantitative,quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1,2007,18 May 2007,Quruvchi,Pakhtakor,1–1,League <line> 2,2,2007,22 September 2007,Pakhtakor,Quruvchi,0–0,League <line> <utterance> Stack bar chart... | x=Home_team,y=count Home_team,color=Away_team |
game <head> stadium_id,id,Season,Date,Home_team,Away_team,Score,Competition <type> quantitative,quantitative,quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1,2007,18 May 2007,Quruvchi,Pakhtakor,1–1,League <line> 2,2,2007,22 September 2007,Pakhtakor,Quruvchi,0–0,League <line> <utterance> Stack bar chart... | none |
game <head> stadium_id,id,Season,Date,Home_team,Away_team,Score,Competition <type> quantitative,quantitative,quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1,2007,18 May 2007,Quruvchi,Pakhtakor,1–1,League <line> 2,2,2007,22 September 2007,Pakhtakor,Quruvchi,0–0,League <line> <utterance> Show distributi... | Home_team,Away_team |
game <head> stadium_id,id,Season,Date,Home_team,Away_team,Score,Competition <type> quantitative,quantitative,quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1,2007,18 May 2007,Quruvchi,Pakhtakor,1–1,League <line> 2,2,2007,22 September 2007,Pakhtakor,Quruvchi,0–0,League <line> <utterance> Show distributi... | none |
game <head> stadium_id,id,Season,Date,Home_team,Away_team,Score,Competition <type> quantitative,quantitative,quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1,2007,18 May 2007,Quruvchi,Pakhtakor,1–1,League <line> 2,2,2007,22 September 2007,Pakhtakor,Quruvchi,0–0,League <line> <utterance> Show distributi... | count home_team |
game <head> stadium_id,id,Season,Date,Home_team,Away_team,Score,Competition <type> quantitative,quantitative,quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1,2007,18 May 2007,Quruvchi,Pakhtakor,1–1,League <line> 2,2,2007,22 September 2007,Pakhtakor,Quruvchi,0–0,League <line> <utterance> Show distributi... | bar |
game <head> stadium_id,id,Season,Date,Home_team,Away_team,Score,Competition <type> quantitative,quantitative,quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1,2007,18 May 2007,Quruvchi,Pakhtakor,1–1,League <line> 2,2,2007,22 September 2007,Pakhtakor,Quruvchi,0–0,League <line> <utterance> Show distributi... | x=Home_team,y=count Home_team,color=Away_team |
game <head> stadium_id,id,Season,Date,Home_team,Away_team,Score,Competition <type> quantitative,quantitative,quantitative,temporal,nominal,nominal,nominal,nominal <data> 1,1,2007,18 May 2007,Quruvchi,Pakhtakor,1–1,League <line> 2,2,2007,22 September 2007,Pakhtakor,Quruvchi,0–0,League <line> <utterance> Show distributi... | none |
party <head> Party_ID,Minister,Took_office,Left_office,Region_ID,Party_name <type> quantitative,nominal,quantitative,quantitative,quantitative,nominal <data> 1,Dr. Kwame Nkrumah (MP),1957,1958,1,Convention Peoples Party <line> 2,Kojo Botsio (MP),1958,1959,2,Progress Party <line> <utterance> How many parties at the tim... | Took_office,Minister |
party <head> Party_ID,Minister,Took_office,Left_office,Region_ID,Party_name <type> quantitative,nominal,quantitative,quantitative,quantitative,nominal <data> 1,Dr. Kwame Nkrumah (MP),1957,1958,1,Convention Peoples Party <line> 2,Kojo Botsio (MP),1958,1959,2,Progress Party <line> <utterance> How many parties at the tim... | none |
party <head> Party_ID,Minister,Took_office,Left_office,Region_ID,Party_name <type> quantitative,nominal,quantitative,quantitative,quantitative,nominal <data> 1,Dr. Kwame Nkrumah (MP),1957,1958,1,Convention Peoples Party <line> 2,Kojo Botsio (MP),1958,1959,2,Progress Party <line> <utterance> How many parties at the tim... | count took_office |
party <head> Party_ID,Minister,Took_office,Left_office,Region_ID,Party_name <type> quantitative,nominal,quantitative,quantitative,quantitative,nominal <data> 1,Dr. Kwame Nkrumah (MP),1957,1958,1,Convention Peoples Party <line> 2,Kojo Botsio (MP),1958,1959,2,Progress Party <line> <utterance> How many parties at the tim... | bar |
party <head> Party_ID,Minister,Took_office,Left_office,Region_ID,Party_name <type> quantitative,nominal,quantitative,quantitative,quantitative,nominal <data> 1,Dr. Kwame Nkrumah (MP),1957,1958,1,Convention Peoples Party <line> 2,Kojo Botsio (MP),1958,1959,2,Progress Party <line> <utterance> How many parties at the tim... | x=Took_office,y=count Took_office,color=Minister |
party <head> Party_ID,Minister,Took_office,Left_office,Region_ID,Party_name <type> quantitative,nominal,quantitative,quantitative,quantitative,nominal <data> 1,Dr. Kwame Nkrumah (MP),1957,1958,1,Convention Peoples Party <line> 2,Kojo Botsio (MP),1958,1959,2,Progress Party <line> <utterance> How many parties at the tim... | none |
party <head> Party_ID,Minister,Took_office,Left_office,Region_ID,Party_name <type> quantitative,nominal,quantitative,quantitative,quantitative,nominal <data> 1,Dr. Kwame Nkrumah (MP),1957,1958,1,Convention Peoples Party <line> 2,Kojo Botsio (MP),1958,1959,2,Progress Party <line> <utterance> took office for each minist... | Took_office,Minister |
party <head> Party_ID,Minister,Took_office,Left_office,Region_ID,Party_name <type> quantitative,nominal,quantitative,quantitative,quantitative,nominal <data> 1,Dr. Kwame Nkrumah (MP),1957,1958,1,Convention Peoples Party <line> 2,Kojo Botsio (MP),1958,1959,2,Progress Party <line> <utterance> took office for each minist... | none |
party <head> Party_ID,Minister,Took_office,Left_office,Region_ID,Party_name <type> quantitative,nominal,quantitative,quantitative,quantitative,nominal <data> 1,Dr. Kwame Nkrumah (MP),1957,1958,1,Convention Peoples Party <line> 2,Kojo Botsio (MP),1958,1959,2,Progress Party <line> <utterance> took office for each minist... | count took_office |
party <head> Party_ID,Minister,Took_office,Left_office,Region_ID,Party_name <type> quantitative,nominal,quantitative,quantitative,quantitative,nominal <data> 1,Dr. Kwame Nkrumah (MP),1957,1958,1,Convention Peoples Party <line> 2,Kojo Botsio (MP),1958,1959,2,Progress Party <line> <utterance> took office for each minist... | bar |
party <head> Party_ID,Minister,Took_office,Left_office,Region_ID,Party_name <type> quantitative,nominal,quantitative,quantitative,quantitative,nominal <data> 1,Dr. Kwame Nkrumah (MP),1957,1958,1,Convention Peoples Party <line> 2,Kojo Botsio (MP),1958,1959,2,Progress Party <line> <utterance> took office for each minist... | x=Took_office,y=count Took_office,color=Minister |
party <head> Party_ID,Minister,Took_office,Left_office,Region_ID,Party_name <type> quantitative,nominal,quantitative,quantitative,quantitative,nominal <data> 1,Dr. Kwame Nkrumah (MP),1957,1958,1,Convention Peoples Party <line> 2,Kojo Botsio (MP),1958,1959,2,Progress Party <line> <utterance> took office for each minist... | none |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> What is the total number of ships with different nationalities and ship types? <ans> <sep>... | Nationality,Type |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> What is the total number of ships with different nationalities and ship types? <ans> <sep>... | none |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> What is the total number of ships with different nationalities and ship types? <ans> <sep>... | count nationality |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> What is the total number of ships with different nationalities and ship types? <ans> <sep>... | bar |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> What is the total number of ships with different nationalities and ship types? <ans> <sep>... | x=Nationality,y=count Nationality,color=Type |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> What is the total number of ships with different nationalities and ship types? <ans> <sep>... | none |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> Show nationalities and types. <ans> <sep> Step 1. Select the columns: | Nationality,Type |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> Show nationalities and types. <ans> <sep> Step 1. Select the columns: Nationality,Type <se... | none |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> Show nationalities and types. <ans> <sep> Step 1. Select the columns: Nationality,Type <se... | count nationality |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> Show nationalities and types. <ans> <sep> Step 1. Select the columns: Nationality,Type <se... | bar |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> Show nationalities and types. <ans> <sep> Step 1. Select the columns: Nationality,Type <se... | x=Nationality,y=count Nationality,color=Type |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> Show nationalities and types. <ans> <sep> Step 1. Select the columns: Nationality,Type <se... | none |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> Give me a stacked bar chart to show the total number of each ship type and categorize it by... | Type,Nationality |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> Give me a stacked bar chart to show the total number of each ship type and categorize it by... | none |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> Give me a stacked bar chart to show the total number of each ship type and categorize it by... | count type |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> Give me a stacked bar chart to show the total number of each ship type and categorize it by... | bar |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> Give me a stacked bar chart to show the total number of each ship type and categorize it by... | x=Type,y=count Type,color=Nationality |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> Give me a stacked bar chart to show the total number of each ship type and categorize it by... | none |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> Show me the tonnage of different ship types grouped by nationality. <ans> <sep> Step 1. Se... | Type,Nationality |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> Show me the tonnage of different ship types grouped by nationality. <ans> <sep> Step 1. Se... | none |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> Show me the tonnage of different ship types grouped by nationality. <ans> <sep> Step 1. Se... | count type |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> Show me the tonnage of different ship types grouped by nationality. <ans> <sep> Step 1. Se... | bar |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> Show me the tonnage of different ship types grouped by nationality. <ans> <sep> Step 1. Se... | x=Type,y=count Type,color=Nationality |
ship <head> Ship_ID,Name,Type,Nationality,Tonnage <type> quantitative,nominal,nominal,nominal,quantitative <data> 1,Corbridge,Cargo ship,United Kingdom,3687 <line> 2,Farringford,Battle ship,United States,3146 <line> <utterance> Show me the tonnage of different ship types grouped by nationality. <ans> <sep> Step 1. Se... | none |
competition <head> Competition_ID,Year,Competition_type,Country <type> quantitative,temporal,nominal,nominal <data> 1,2006.0,Friendly,Italy <line> 2,2006.0,Friendly,Spain <line> <utterance> A stacked bar chart about the total number in each competition type, and then split by country. <ans> <sep> Step 1. Select the c... | Country,Competition_type |
competition <head> Competition_ID,Year,Competition_type,Country <type> quantitative,temporal,nominal,nominal <data> 1,2006.0,Friendly,Italy <line> 2,2006.0,Friendly,Spain <line> <utterance> A stacked bar chart about the total number in each competition type, and then split by country. <ans> <sep> Step 1. Select the c... | none |
competition <head> Competition_ID,Year,Competition_type,Country <type> quantitative,temporal,nominal,nominal <data> 1,2006.0,Friendly,Italy <line> 2,2006.0,Friendly,Spain <line> <utterance> A stacked bar chart about the total number in each competition type, and then split by country. <ans> <sep> Step 1. Select the c... | count country |
competition <head> Competition_ID,Year,Competition_type,Country <type> quantitative,temporal,nominal,nominal <data> 1,2006.0,Friendly,Italy <line> 2,2006.0,Friendly,Spain <line> <utterance> A stacked bar chart about the total number in each competition type, and then split by country. <ans> <sep> Step 1. Select the c... | bar |
competition <head> Competition_ID,Year,Competition_type,Country <type> quantitative,temporal,nominal,nominal <data> 1,2006.0,Friendly,Italy <line> 2,2006.0,Friendly,Spain <line> <utterance> A stacked bar chart about the total number in each competition type, and then split by country. <ans> <sep> Step 1. Select the c... | x=Country,y=count Country,color=Competition_type |
competition <head> Competition_ID,Year,Competition_type,Country <type> quantitative,temporal,nominal,nominal <data> 1,2006.0,Friendly,Italy <line> 2,2006.0,Friendly,Spain <line> <utterance> A stacked bar chart about the total number in each competition type, and then split by country. <ans> <sep> Step 1. Select the c... | none |
competition <head> Competition_ID,Year,Competition_type,Country <type> quantitative,temporal,nominal,nominal <data> 1,2006.0,Friendly,Italy <line> 2,2006.0,Friendly,Spain <line> <utterance> Number of competitions in each country, divided by type. <ans> <sep> Step 1. Select the columns: | Country,Competition_type |
competition <head> Competition_ID,Year,Competition_type,Country <type> quantitative,temporal,nominal,nominal <data> 1,2006.0,Friendly,Italy <line> 2,2006.0,Friendly,Spain <line> <utterance> Number of competitions in each country, divided by type. <ans> <sep> Step 1. Select the columns: Country,Competition_type <sep> ... | none |
competition <head> Competition_ID,Year,Competition_type,Country <type> quantitative,temporal,nominal,nominal <data> 1,2006.0,Friendly,Italy <line> 2,2006.0,Friendly,Spain <line> <utterance> Number of competitions in each country, divided by type. <ans> <sep> Step 1. Select the columns: Country,Competition_type <sep> ... | count country |
competition <head> Competition_ID,Year,Competition_type,Country <type> quantitative,temporal,nominal,nominal <data> 1,2006.0,Friendly,Italy <line> 2,2006.0,Friendly,Spain <line> <utterance> Number of competitions in each country, divided by type. <ans> <sep> Step 1. Select the columns: Country,Competition_type <sep> ... | bar |
competition <head> Competition_ID,Year,Competition_type,Country <type> quantitative,temporal,nominal,nominal <data> 1,2006.0,Friendly,Italy <line> 2,2006.0,Friendly,Spain <line> <utterance> Number of competitions in each country, divided by type. <ans> <sep> Step 1. Select the columns: Country,Competition_type <sep> ... | x=Country,y=count Country,color=Competition_type |
competition <head> Competition_ID,Year,Competition_type,Country <type> quantitative,temporal,nominal,nominal <data> 1,2006.0,Friendly,Italy <line> 2,2006.0,Friendly,Spain <line> <utterance> Number of competitions in each country, divided by type. <ans> <sep> Step 1. Select the columns: Country,Competition_type <sep> ... | none |
exhibition <head> Exhibition_ID,Year,Theme,Artist_ID,Ticket_Price <type> quantitative,temporal,nominal,quantitative,quantitative <data> 1,2004,Santa Claus,1,19.95 <line> 2,2005,Christmas stocking,2,19.95 <line> <utterance> Stacked bar of year and the number of years colored by Theme. <ans> <sep> Step 1. Select the co... | Year,Theme |
exhibition <head> Exhibition_ID,Year,Theme,Artist_ID,Ticket_Price <type> quantitative,temporal,nominal,quantitative,quantitative <data> 1,2004,Santa Claus,1,19.95 <line> 2,2005,Christmas stocking,2,19.95 <line> <utterance> Stacked bar of year and the number of years colored by Theme. <ans> <sep> Step 1. Select the co... | none |
exhibition <head> Exhibition_ID,Year,Theme,Artist_ID,Ticket_Price <type> quantitative,temporal,nominal,quantitative,quantitative <data> 1,2004,Santa Claus,1,19.95 <line> 2,2005,Christmas stocking,2,19.95 <line> <utterance> Stacked bar of year and the number of years colored by Theme. <ans> <sep> Step 1. Select the co... | count year |
exhibition <head> Exhibition_ID,Year,Theme,Artist_ID,Ticket_Price <type> quantitative,temporal,nominal,quantitative,quantitative <data> 1,2004,Santa Claus,1,19.95 <line> 2,2005,Christmas stocking,2,19.95 <line> <utterance> Stacked bar of year and the number of years colored by Theme. <ans> <sep> Step 1. Select the co... | bar |
exhibition <head> Exhibition_ID,Year,Theme,Artist_ID,Ticket_Price <type> quantitative,temporal,nominal,quantitative,quantitative <data> 1,2004,Santa Claus,1,19.95 <line> 2,2005,Christmas stocking,2,19.95 <line> <utterance> Stacked bar of year and the number of years colored by Theme. <ans> <sep> Step 1. Select the co... | x=Year,y=count Year,color=Theme |
exhibition <head> Exhibition_ID,Year,Theme,Artist_ID,Ticket_Price <type> quantitative,temporal,nominal,quantitative,quantitative <data> 1,2004,Santa Claus,1,19.95 <line> 2,2005,Christmas stocking,2,19.95 <line> <utterance> Stacked bar of year and the number of years colored by Theme. <ans> <sep> Step 1. Select the co... | none |
exhibition <head> Exhibition_ID,Year,Theme,Artist_ID,Ticket_Price <type> quantitative,temporal,nominal,quantitative,quantitative <data> 1,2004,Santa Claus,1,19.95 <line> 2,2005,Christmas stocking,2,19.95 <line> <utterance> How many exhibitions have been held each year based on the theme? <ans> <sep> Step 1. Select th... | Year,Theme |
exhibition <head> Exhibition_ID,Year,Theme,Artist_ID,Ticket_Price <type> quantitative,temporal,nominal,quantitative,quantitative <data> 1,2004,Santa Claus,1,19.95 <line> 2,2005,Christmas stocking,2,19.95 <line> <utterance> How many exhibitions have been held each year based on the theme? <ans> <sep> Step 1. Select th... | none |
exhibition <head> Exhibition_ID,Year,Theme,Artist_ID,Ticket_Price <type> quantitative,temporal,nominal,quantitative,quantitative <data> 1,2004,Santa Claus,1,19.95 <line> 2,2005,Christmas stocking,2,19.95 <line> <utterance> How many exhibitions have been held each year based on the theme? <ans> <sep> Step 1. Select th... | count year |
exhibition <head> Exhibition_ID,Year,Theme,Artist_ID,Ticket_Price <type> quantitative,temporal,nominal,quantitative,quantitative <data> 1,2004,Santa Claus,1,19.95 <line> 2,2005,Christmas stocking,2,19.95 <line> <utterance> How many exhibitions have been held each year based on the theme? <ans> <sep> Step 1. Select th... | bar |
exhibition <head> Exhibition_ID,Year,Theme,Artist_ID,Ticket_Price <type> quantitative,temporal,nominal,quantitative,quantitative <data> 1,2004,Santa Claus,1,19.95 <line> 2,2005,Christmas stocking,2,19.95 <line> <utterance> How many exhibitions have been held each year based on the theme? <ans> <sep> Step 1. Select th... | x=Year,y=count Year,color=Theme |
exhibition <head> Exhibition_ID,Year,Theme,Artist_ID,Ticket_Price <type> quantitative,temporal,nominal,quantitative,quantitative <data> 1,2004,Santa Claus,1,19.95 <line> 2,2005,Christmas stocking,2,19.95 <line> <utterance> How many exhibitions have been held each year based on the theme? <ans> <sep> Step 1. Select th... | 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> ... | 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> 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> 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> Visualize the relationship between People_ID and Weight. <ans> <sep> ... | point |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.