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CREATE TABLE university (id integer, country_name text, id integer, system_name text, id integer, ranking_system_id integer, criteria_name text, id integer, country_id integer, university_name text, university_id integer, ranking_criteria_id integer, year integer, score integer, university_id integer, year integer, num_students integer, student_staff_ratio real, pct_international_students integer, pct_female_students integer)
Calculate number of male students in Emory University in 2011.
SELECT CAST((T1.num_students - (T1.num_students * T1.pct_female_students)) AS REAL) / 100 FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T2.university_name = 'Emory University' AND T1.year = 2011
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CREATE TABLE university (id integer, country_name text, id integer, system_name text, id integer, ranking_system_id integer, criteria_name text, id integer, country_id integer, university_name text, university_id integer, ranking_criteria_id integer, year integer, score integer, university_id integer, year integer, num_students integer, student_staff_ratio real, pct_international_students integer, pct_female_students integer)
In which country does Johns Hopkins University located?
SELECT T2.country_name FROM university AS T1 INNER JOIN country AS T2 ON T1.country_id = T2.id WHERE T1.university_name = 'Johns Hopkins University'
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CREATE TABLE university (id integer, country_name text, id integer, system_name text, id integer, ranking_system_id integer, criteria_name text, id integer, country_id integer, university_name text, university_id integer, ranking_criteria_id integer, year integer, score integer, university_id integer, year integer, num_students integer, student_staff_ratio real, pct_international_students integer, pct_female_students integer)
Give the names of universities with number of students ranges from 400 to 1000.
SELECT DISTINCT T2.university_name FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.num_students BETWEEN 400 AND 1000
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CREATE TABLE university (id integer, country_name text, id integer, system_name text, id integer, ranking_system_id integer, criteria_name text, id integer, country_id integer, university_name text, university_id integer, ranking_criteria_id integer, year integer, score integer, university_id integer, year integer, num_students integer, student_staff_ratio real, pct_international_students integer, pct_female_students integer)
In what year does the Brown University score the highest?
SELECT T1.year FROM university_ranking_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T2.university_name = 'Brown University' ORDER BY T1.score DESC LIMIT 1
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CREATE TABLE university (id integer, country_name text, id integer, system_name text, id integer, ranking_system_id integer, criteria_name text, id integer, country_id integer, university_name text, university_id integer, ranking_criteria_id integer, year integer, score integer, university_id integer, year integer, num_students integer, student_staff_ratio real, pct_international_students integer, pct_female_students integer)
Calculate the average score of Emory University from 2011 to 2016.
SELECT AVG(T1.score) FROM university_ranking_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T2.university_name = 'Emory University' AND T1.year BETWEEN 2011 AND 2016
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CREATE TABLE university (id integer, country_name text, id integer, system_name text, id integer, ranking_system_id integer, criteria_name text, id integer, country_id integer, university_name text, university_id integer, ranking_criteria_id integer, year integer, score integer, university_id integer, year integer, num_students integer, student_staff_ratio real, pct_international_students integer, pct_female_students integer)
Give the name of the university with the most number of students in 2015.
SELECT T2.university_name FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.year = 2015 ORDER BY T1.num_students DESC LIMIT 1
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CREATE TABLE university (id integer, country_name text, id integer, system_name text, id integer, ranking_system_id integer, criteria_name text, id integer, country_id integer, university_name text, university_id integer, ranking_criteria_id integer, year integer, score integer, university_id integer, year integer, num_students integer, student_staff_ratio real, pct_international_students integer, pct_female_students integer)
What is the location and number of female students in university ID 23 in 2011?
SELECT T3.country_name, CAST(T2.num_students * T2.pct_female_students AS REAL) / 100 FROM university AS T1 INNER JOIN university_year AS T2 ON T1.id = T2.university_id INNER JOIN country AS T3 ON T3.id = T1.country_id WHERE T2.year = 2011 AND T1.id = 23
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CREATE TABLE university (id integer, country_name text, id integer, system_name text, id integer, ranking_system_id integer, criteria_name text, id integer, country_id integer, university_name text, university_id integer, ranking_criteria_id integer, year integer, score integer, university_id integer, year integer, num_students integer, student_staff_ratio real, pct_international_students integer, pct_female_students integer)
How many universities scored 40 in teaching criteria?
SELECT COUNT(*) FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id WHERE T2.score = 40 AND T1.criteria_name = 'Teaching' AND T2.score = 40
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CREATE TABLE university (id integer, country_name text, id integer, system_name text, id integer, ranking_system_id integer, criteria_name text, id integer, country_id integer, university_name text, university_id integer, ranking_criteria_id integer, year integer, score integer, university_id integer, year integer, num_students integer, student_staff_ratio real, pct_international_students integer, pct_female_students integer)
Among the universities in United States of America, what is the percentage of female students in year 2016?
SELECT SUM(CAST(T2.pct_female_students * T2.num_students AS REAL) / 100) * 100 / SUM(T2.num_students) FROM university AS T1 INNER JOIN university_year AS T2 ON T1.id = T2.university_id INNER JOIN country AS T3 ON T3.id = T1.country_id WHERE T3.country_name = 'United States of America' AND T2.year = 2016
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CREATE TABLE university (id integer, country_name text, id integer, system_name text, id integer, ranking_system_id integer, criteria_name text, id integer, country_id integer, university_name text, university_id integer, ranking_criteria_id integer, year integer, score integer, university_id integer, year integer, num_students integer, student_staff_ratio real, pct_international_students integer, pct_female_students integer)
Calculate the difference between the total number of students and the number of international international students in Univeristy of Tokyo from 2011 to 2014.
SELECT SUM(T1.num_students) - SUM(CAST(T1.num_students * T1.pct_international_students AS REAL) / 100) FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.year BETWEEN 2011 AND 2014 AND T2.university_name = 'University of Tokyo'
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CREATE TABLE university (id integer, country_name text, id integer, system_name text, id integer, ranking_system_id integer, criteria_name text, id integer, country_id integer, university_name text, university_id integer, ranking_criteria_id integer, year integer, score integer, university_id integer, year integer, num_students integer, student_staff_ratio real, pct_international_students integer, pct_female_students integer)
List the names of universities with a score less than 28% of the average score of all universities in 2015.
SELECT T2.university_name FROM university_ranking_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.year = 2015 AND T1.score * 100 < ( SELECT AVG(score) * 28 FROM university_ranking_year WHERE year = 2015 )
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CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
How many units of item no.9 were sold in store no.1 on 2012/1/1?
SELECT units FROM sales_in_weather WHERE `date` = '2012-01-01' AND store_nbr = 1 AND item_nbr = 9
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CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
How many units of item no.9 were sold in store no.1 in total in January, 2012?
SELECT SUM(units) FROM sales_in_weather WHERE SUBSTR(`date`, 6, 2) = '01' AND SUBSTR(`date`, 1, 4) = '2012' AND item_nbr = 9 AND store_nbr = 1
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CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What is the ID of the item that sold the best on 2012/1/1 in store no.1?
SELECT item_nbr FROM sales_in_weather WHERE `date` = '2012-01-01' AND store_nbr = 1 ORDER BY units DESC LIMIT 1
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What was the temperature range of station no.1 on 2012/1/1?
SELECT tmax - tmin AS temrange FROM weather WHERE station_nbr = 1 AND `date` = '2012-01-01'
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CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Please list the dates on which the temperature of station no.2 was above the 30-year normal.
SELECT `date` FROM weather WHERE station_nbr = 2 AND depart > 0
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CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
On which day was the weather more windy in station no.1, 2012/1/1 or 2012/1/2?
SELECT CASE WHEN (SUM(CASE WHEN `date` = '2012-01-01' THEN avgspeed ELSE 0 END) - SUM(CASE WHEN `date` = '2012-01-02' THEN avgspeed ELSE 0 END)) > 0 THEN '2012-01-01' ELSE '2012-01-02' END FROM weather WHERE station_nbr = 1
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CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What is the total number of units of item no.5 sold in store no.3 in 2012 on days when the temperature was below the 30-year normal?
SELECT SUM(CASE WHEN T3.depart < 0 THEN units ELSE 0 END) AS sum FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T2.store_nbr = 3 AND SUBSTR(T1.`date`, 1, 4) = '2012' AND T1.item_nbr = 5
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CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
How many units of item no.5 were sold in store no.3 on the day in 2012 when the max temperature was the highest?
SELECT T1.units FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T2.store_nbr = 3 AND SUBSTR(T1.`date`, 1, 4) = '2012' AND T1.item_nbr = 5 ORDER BY tmax DESC LIMIT 1
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CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What was the dew point on the day the most units of item no.5 were sold in store no.3 in 2012?
SELECT dewpoint FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T2.store_nbr = 3 AND SUBSTR(T1.`date`, 1, 4) = '2012' AND T1.item_nbr = 5 ORDER BY units DESC LIMIT 1
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CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
On how many days with the max temperature over 90 did the sale of item no.5 in store no.3 exceed 100?
SELECT SUM(CASE WHEN units > 100 THEN 1 ELSE 0 END) AS count FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T2.store_nbr = 3 AND SUBSTR(T1.`date`, 1, 4) = '2012' AND T1.item_nbr = 5 AND tmax > 90
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
How many units of item no.5 were sold in store no.3 on the day the temperature range was the biggest?
SELECT t2.units FROM relation AS T1 INNER JOIN sales_in_weather AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T1.station_nbr = T3.station_nbr WHERE T2.store_nbr = 3 AND T2.item_nbr = 5 ORDER BY t3.tmax - t3.tmin DESC LIMIT 1
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Among the days on which over 100 units of item no.5 were sold in store no.3, on which date was the temperature range the biggest?
SELECT T2.`date` FROM relation AS T1 INNER JOIN sales_in_weather AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T1.station_nbr = T3.station_nbr WHERE T2.store_nbr = 3 AND T2.item_nbr = 5 AND T2.units > 100 ORDER BY tmax - tmin DESC LIMIT 1
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
How many units of item no.5 were sold in store no.3 in total on days with a total precipitation of over 0.05?
SELECT SUM(CASE WHEN T3.preciptotal > 0.05 THEN units ELSE 0 END) AS sum FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T2.store_nbr = 3 AND T1.item_nbr = 5
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CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Please list the dates on which the sale of item no.5 in store no.3 exceeded 100 and the average wind speed exceeded 10.
SELECT T1.`date` FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T2.store_nbr = 3 AND T1.item_nbr = 5 AND T1.units > 100 AND T3.avgspeed > 10
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CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What is the total units of products sold on the day with the highest max temperature in store no.3 in 2012?
SELECT SUM(units) FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T2.store_nbr = 3 AND T1.`date` LIKE '%2012%' GROUP BY T3.tmax ORDER BY T3.tmax DESC LIMIT 1
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
How many more units of item no.16 were sold on the day with the highest max temperature in 2012 in store no.5 than in store no.10?
SELECT ( SELECT SUM(units) FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T1.item_nbr = 16 AND T1.`date` LIKE '%2012%' AND T1.store_nbr = 5 GROUP BY tmax ORDER BY T3.tmax DESC LIMIT 1 ) - ( SELECT SUM(units) FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T1.item_nbr = 16 AND T1.`date` LIKE '%2012%' AND T1.store_nbr = 6 GROUP BY tmax ORDER BY T3.tmax DESC LIMIT 1 )
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What is the ID of the item that sold the best on the day with the highest max temperature in store no.3 in 2012?
SELECT T1.item_nbr FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T1.store_nbr = 3 AND T1.`date` LIKE '%2012%' AND tmax = ( SELECT MAX(tmax) FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T1.store_nbr = 3 AND T1.`date` LIKE '%2012%' ) GROUP BY T1.item_nbr ORDER BY SUM(units) DESC LIMIT 1
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
On the day with the highest max temperature in 2012, how many items in store no.3 had no sales?
SELECT COUNT(DISTINCT T1.item_nbr) FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr AND T1.store_nbr = 3 AND SUBSTR(T1.`date`, 1, 4) = '2012' AND T1.units = 0 GROUP BY T3.tmax ORDER BY T3.tmax DESC LIMIT 1
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
How many units of item no.5 were sold in store no.3 on average on the days when the max temperature exceeded 90?
SELECT CAST(SUM(T1.units) AS REAL) / COUNT(T1.`date`) FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T1.store_nbr = 3 AND T1.item_nbr = 5 AND T3.tmax > 90
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What is the percentage of the units of item no.5 sold among all units of items sold in store no.3 on the day with the highest max temperature in 2012?
SELECT CAST(SUM(CASE WHEN T1.item_nbr = 5 THEN units * 1 ELSE 0 END) AS REAL) * 100 / SUM(units) FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T1.store_nbr = 3 AND T1.`date` LIKE '%2012%' AND T3.tmax = ( SELECT MAX(T3.tmax) FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T1.store_nbr = 3 AND T1.`date` LIKE '%2012%' )
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Give the id of the bestsellers of store no.1 on 2012/1/1.
SELECT item_nbr FROM sales_in_weather WHERE `date` = '2012-01-01' AND store_nbr = 1 ORDER BY units DESC LIMIT 1
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
How many no.9 items from store no.11 were sold on 2012/12/7?
SELECT units FROM sales_in_weather WHERE `date` = '2012-12-07' AND store_nbr = 11 AND item_nbr = 9
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Give the average temperature of station no.20 on 2014/10/17.
SELECT tavg FROM weather WHERE `date` = '2014-10-17' AND station_nbr = 20
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CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Tell the resultant wind speed of station no.9 on 2014/1/15.
SELECT resultspeed FROM weather WHERE `date` = '2014-01-15' AND station_nbr = 9
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Give the id of the weather station with most stores.
SELECT station_nbr FROM relation GROUP BY station_nbr ORDER BY COUNT(station_nbr) DESC LIMIT 1
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Which weather station does store no.20 belong to?
SELECT station_nbr FROM relation WHERE store_nbr = 20
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Tell the temperature range of the home weather station of store no.7 on 2014/4/28.
SELECT T1.tmax - T1.tmin AS temprange FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.store_nbr = 7 AND T1.`date` = '2014-04-28'
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
For the weather station which recorded the highest temperature above the 30-year normal, how many stores does it have?
SELECT store_nbr FROM relation WHERE station_nbr = ( SELECT station_nbr FROM weather ORDER BY depart DESC LIMIT 1 )
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
For the home weather station of store no.15, what was the dew point on 2012/2/18?
SELECT T1.dewpoint FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.store_nbr = 15 AND T1.`date` = '2012-02-18'
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Tell the wet-bulb temperature of the weather station which contained store no.6 on 2012/2/15.
SELECT T1.wetbulb FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.store_nbr = 14 AND T1.`date` = '2012-02-15'
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Give the number of stores which opened on the weather station that recorded the fastest average wind speed.
SELECT COUNT(T.store_nbr) FROM ( SELECT DISTINCT store_nbr FROM relation WHERE station_nbr = ( SELECT station_nbr FROM weather ORDER BY avgspeed DESC LIMIT 1 ) ) T
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
State the max temperature of the weather station which has the no.21 store on 2012/11/9.
SELECT tmax FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.store_nbr = 21 AND T1.`date` = '2012-11-09'
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Provide the sunrise time recorded by the home weather station of store no.30 on 2014/2/21.
SELECT T1.sunrise FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T1.`date` = '2014-02-21' AND store_nbr = 30
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
State the number of stores that belongs to the weather station which recorded the deepest snowfall.
SELECT T2.store_nbr FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr ORDER BY snowfall DESC LIMIT 1
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Provide the code summarization for the weather recorded by the weather station which contained the no.2 store on 2013/2/12.
SELECT T1.codesum FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T1.`date` = '2013-02-12' AND T2.store_nbr = 2
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Show the sea level status recorded by the weather station of store no.19 on 2013/2/24.
SELECT T1.sealevel FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T1.`date` = '2013-02-24' AND T2.store_nbr = 19
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
How many inches of total precipitation was recorded by the weather station of store no.2 on 2012/12/25?
SELECT T1.preciptotal FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T1.`date` = '2012-12-25' AND T2.store_nbr = 2
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Give the station pressure status recorded by the weather station which contained no.12 store on 2012/5/15.
SELECT T1.stnpressure FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T1.`date` = '2012-05-15' AND T2.store_nbr = 12
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What percentage was the total unit sales of store no.10 to the total sales of its weather station on 2014/10/31?
SELECT CAST(SUM(CASE WHEN T2.store_nbr = 10 THEN units * 1 ELSE 0 END) AS REAL) * 100 / SUM(units) FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr WHERE T1.`date` = '2014-10-31'
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
For the weather station has store no.9, what was the increased percentage of the average temperature from 2012/2/2 to 2012/2/3?
SELECT CAST((SUM(CASE WHEN T1.`date` = '2012-02-03' THEN T1.tavg * 1 ELSE 0 END) - SUM(CASE WHEN T1.`date` = '2012-02-02' THEN T1.tavg * 1 ELSE 0 END)) AS REAL) * 100 / SUM(CASE WHEN T1.`date` = '2012-02-02' THEN T1.tavg * 1 ELSE 0 END) FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.store_nbr = 9
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What is the item number of the product with the highest number of units sold in store number 1 on 1/1/2012?
SELECT item_nbr FROM sales_in_weather WHERE `date` = '2012-01-01' AND store_nbr = 1 ORDER BY units DESC LIMIT 1
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
How many stores are in weather station 12?
SELECT SUM(store_nbr) FROM relation WHERE station_nbr = 12
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
How many items weren't sold in store 2 on 1/1/2012?
SELECT COUNT(item_nbr) FROM sales_in_weather WHERE store_nbr = 2 AND units = 0 AND `date` = '2012-01-01'
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Between 1/1/2012 to 12/31/2014, which date recorded the hottest temperature in weather station 1?
SELECT `date` FROM weather WHERE station_nbr = 1 AND CAST(SUBSTR(`date`, 1, 4) AS int) BETWEEN 2012 AND 2014 ORDER BY tmax DESC LIMIT 1
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Which weather station has the highest number of stores?
SELECT station_nbr FROM relation GROUP BY station_nbr ORDER BY COUNT(store_nbr) DESC LIMIT 1
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
In March 2014, which weather stations recorded the highest number of days whose temperature is below the 30-year normal?
SELECT station_nbr FROM weather WHERE SUBSTR(`date`, 1, 4) = '2014' AND SUBSTR(`date`, 6, 2) = '03' AND depart < 0 GROUP BY station_nbr HAVING COUNT(DISTINCT `date`) = ( SELECT COUNT(DISTINCT `date`) FROM weather WHERE SUBSTR(`date`, 1, 4) = '2014' AND SUBSTR(`date`, 6, 2) = '03' AND depart < 0 GROUP BY station_nbr ORDER BY COUNT(`date`) DESC LIMIT 1 )
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Which weather station does the store that sold the highest quantity of item 9 belongs to?
SELECT station_nbr FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr WHERE T1.item_nbr = 9 GROUP BY T2.station_nbr ORDER BY SUM(T1.units) DESC LIMIT 1
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
How many stores belong to the most windy station?
SELECT COUNT(store_nbr) FROM relation WHERE station_nbr = ( SELECT station_nbr FROM weather ORDER BY avgspeed DESC LIMIT 1 )
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Among the stores in weather station 14 in February 2014, which store had sold no less than 300 quantities for item number 44 in a single day?
SELECT T1.store_nbr FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr WHERE T2.station_nbr = 14 AND T1.`date` LIKE '%2014-02%' AND T1.item_nbr = 44 AND units >= 300
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What is the most purchased products during the rainy days in June 2013 in weather station 9?
SELECT T1.item_nbr FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T2.station_nbr = T3.station_nbr WHERE T3.station_nbr = 9 AND T1.`date` LIKE '%2013-06%' AND codesum = 'RA' ORDER BY T1.units DESC LIMIT 1
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Which station sold the highest quantity of item number 5 overall?
SELECT T2.station_nbr FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr WHERE T1.item_nbr = 5 GROUP BY T2.station_nbr ORDER BY SUM(T1.units) DESC LIMIT 1
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What is the earliest sunrise recorded in the stations with no more than 1 store in February 2012?
SELECT T1.station_nbr FROM relation AS T1 INNER JOIN weather AS T2 ON T1.station_nbr = T2.station_nbr WHERE sunrise IS NOT NULL AND T2.`date` LIKE '%2012-02%' AND T1.station_nbr IN ( SELECT station_nbr FROM relation GROUP BY station_nbr HAVING COUNT(store_nbr) = 1 ) ORDER BY sunrise LIMIT 1
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
In weather station 17, which store sold the highest quantity of item 45 in October 2012?
SELECT T1.store_nbr FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr WHERE T1.item_nbr = 45 AND T2.station_nbr = 17 AND T1.`date` LIKE '%2012-10%' GROUP BY T1.store_nbr ORDER BY SUM(T1.units) DESC LIMIT 1
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What are the items sold by the store during the day whose station recorded the thickest snowfall?
SELECT T1.item_nbr FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN ( SELECT station_nbr, `date` FROM weather ORDER BY snowfall DESC LIMIT 1 ) AS T3 ON T2.station_nbr = T3.station_nbr
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What are the top 3 stations that have sold the highest quantities for an item in a single day?
SELECT T2.station_nbr FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr ORDER BY T1.units DESC LIMIT 3
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
How many stores belong to the station with the highest recorded heat of all time?
SELECT COUNT(T2.store_nbr) FROM ( SELECT station_nbr FROM weather ORDER BY heat DESC LIMIT 1 ) AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
On February 8, 2014, what is the minimum temperature in the station where store 29 belongs?
SELECT tmin FROM relation AS T1 INNER JOIN weather AS T2 ON T1.station_nbr = T2.station_nbr WHERE T1.store_nbr = 29 AND T2.`date` = '2014-02-08'
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Among the stations with 3 stores, how many stations have a station pressure of no more than 30 on February 18, 2014?
SELECT COUNT(station_nbr) FROM weather WHERE `date` = '2014-02-18' AND stnpressure < 30 AND station_nbr IN ( SELECT station_nbr FROM relation GROUP BY station_nbr HAVING COUNT(store_nbr) = 3 )
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Which station has the highest number of stores? Calculate the said station's average maximum temperature in February 2012.
SELECT CAST(SUM(T2.tmax) AS REAL) / 29 FROM ( SELECT station_nbr FROM relation GROUP BY station_nbr ORDER BY COUNT(store_nbr) DESC LIMIT 1 ) AS T1 INNER JOIN weather AS T2 ON T1.station_nbr = T2.station_nbr WHERE SUBSTR(T2.`date`, 1, 7) = '2012-02'
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Between the stores under weather station 12, what is the percentage of item 5 sold in store 10 in 2014?
SELECT CAST(SUM(CASE WHEN T2.store_nbr = 10 THEN units * 1 ELSE 0 END) AS REAL) * 100 / SUM(units) FROM relation AS T1 INNER JOIN sales_in_weather AS T2 ON T1.store_nbr = T2.store_nbr WHERE station_nbr = 12 AND item_nbr = 5 AND T2.`date` LIKE '%2014%'
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What is the maximum average speed?
SELECT MAX(avgspeed) FROM weather
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
How many days did the show fell more than 5 inches?
SELECT COUNT(DISTINCT `date`) FROM weather WHERE snowfall > 5
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
How many days did the sun rise before 5 AM?
SELECT COUNT(DISTINCT `date`) AS days FROM weather WHERE sunrise < time('05:00:00')
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What is the minimum dew point?
SELECT MIN(dewpoint) FROM weather
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What is the maximum and minimum temperature for station number 1 on 15 January 2012?
SELECT tmax, tmin FROM weather WHERE station_nbr = 1 AND `date` = '2012-01-15'
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
How many stations were able to sell item 5 on January 2014?
SELECT COUNT(DISTINCT T2.station_nbr) AS number FROM sales_in_weather AS T1 INNER JOIN relation AS T2 ON T1.store_nbr = T2.store_nbr WHERE SUBSTR(`date`, 1, 7) = '2014-01' AND item_nbr = 5
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What is the lowest minimum temperature recorded in store 16 on January 2012?
SELECT MIN(tmin) FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.store_nbr = 16 AND T1.`date` LIKE '%2012-01%'
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
How many units of item 7 have been sold by store 7 when the snow is less than 5 inches?
SELECT SUM(units) FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr INNER JOIN sales_in_weather AS T3 ON T2.store_nbr = T3.store_nbr WHERE T2.store_nbr = 7 AND T3.item_nbr = 7 AND T1.snowfall < 5
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
How many items were sold by store 9 during a snowy day?
SELECT COUNT(DISTINCT item_nbr) FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr INNER JOIN sales_in_weather AS T3 ON T2.store_nbr = T3.store_nbr WHERE T3.store_nbr = 9 AND T1.snowfall <> 0 AND T1.snowfall IS NOT NULL
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
List out stations number and items sold by store 17.
SELECT T1.station_nbr, T2.item_nbr FROM relation AS T1 INNER JOIN sales_in_weather AS T2 ON T1.store_nbr = T2.store_nbr WHERE T1.store_nbr = 17 GROUP BY T1.station_nbr, T2.item_nbr
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
List out dates when haze is recorded in store 35.
SELECT T1.`date` FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.store_nbr = 35 AND T1.codesum LIKE '%' OR 'HZ' OR '%'
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What is the sea level and average speed for store number 3 and store number 4?
SELECT T1.sealevel, T1.avgspeed FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.store_nbr = 3 OR T2.store_nbr = 4
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
Which items from store 1 have the highest units sold during rainy day?
SELECT T2.item_nbr FROM weather AS T1 INNER JOIN sales_in_weather AS T2 ON T1.`date` = T2.`date` INNER JOIN relation AS T3 ON T2.store_nbr = T3.store_nbr AND T1.station_nbr = T3.station_nbr WHERE T2.store_nbr = 1 AND T1.codesum LIKE '%' OR 'RA' OR '%' GROUP BY T2.item_nbr ORDER BY T2.units DESC LIMIT 1
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What is the ratio of the highest and lowest temperature in store 11?
SELECT CAST((MAX(T1.tmax) - MIN(T1.tmin)) AS REAL) / MIN(T1.tmin) FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.store_nbr = 11
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What was the difference of number of units sold in station number 1 and number 2 on year 2012?
SELECT SUM(CASE WHEN T1.station_nbr = 1 THEN units ELSE 0 END) - SUM(CASE WHEN T1.station_nbr = 2 THEN units ELSE 0 END) FROM relation AS T1 INNER JOIN sales_in_weather AS T2 ON T1.store_nbr = T2.store_nbr WHERE T2.`date` LIKE '%2012%'
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What was the average temperature difference between store number 18 and 19 on 16 September 2022?
SELECT SUM(CASE WHEN T1.store_nbr = 18 THEN T2.tavg ELSE 0 END) - SUM(CASE WHEN T1.store_nbr = 19 THEN T2.tavg ELSE 0 END) FROM relation AS T1 INNER JOIN weather AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.`date` = '2012-09-16'
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
How many units are being sold for item 1 when the average temperature is 83?
SELECT SUM(units) FROM weather AS T1 INNER JOIN sales_in_weather AS T2 ON T1.`date` = T2.`date` INNER JOIN relation AS T3 ON T2.store_nbr = T3.store_nbr WHERE T2.item_nbr = 1 AND T1.tavg = 83
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What is the difference between the units sold for item 1 when the sunset was the earliest and the latest?
SELECT ( SELECT SUM(T2.units) AS sumunit FROM weather AS T1 INNER JOIN sales_in_weather AS T2 ON T1.`date` = T2.`date` INNER JOIN relation AS T3 ON T2.store_nbr = T3.store_nbr WHERE T2.item_nbr = 5 AND sunset IS NOT NULL GROUP BY T1.sunset ORDER BY T1.sunset LIMIT 1 ) - ( SELECT SUM(T2.units) AS sumunit FROM weather AS T1 INNER JOIN sales_in_weather AS T2 ON T1.`date` = T2.`date` INNER JOIN relation AS T3 ON T2.store_nbr = T3.store_nbr WHERE T2.item_nbr = 5 AND sunset IS NOT NULL GROUP BY T1.sunset ORDER BY T1.sunset DESC LIMIT 1 )
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What was the total unit sold for item 10 when the average temperature was below the median temperature?
SELECT SUM(T5.units) FROM weather AS T4 INNER JOIN sales_in_weather AS T5 ON T4.`date` = T5.`date` INNER JOIN relation AS T6 ON T5.store_nbr = T6.store_nbr WHERE T5.item_nbr = 10 AND T4.tavg < ( SELECT AVG(T1.tavg) FROM weather AS T1 INNER JOIN sales_in_weather AS T2 ON T1.`date` = T2.`date` INNER JOIN relation AS T3 ON T2.store_nbr = T3.store_nbr WHERE T2.item_nbr = 10 )
bird
CREATE TABLE sales_in_weather (date date, store_nbr integer, item_nbr integer, units integer, station_nbr integer, date date, tmax integer, tmin integer, tavg integer, depart integer, dewpoint integer, wetbulb integer, heat integer, cool integer, sunrise text, sunset text, codesum text, snowfall real, preciptotal real, stnpressure real, sealevel real, resultspeed real, resultdir integer, avgspeed real, store_nbr integer, station_nbr integer)
What was the average temperature differences during May 2012 for store number 6 and 7?
SELECT ( SELECT CAST(SUM(tavg) AS REAL) / COUNT(`date`) FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr AND T1.`date` LIKE '%2012-05%' AND T2.store_nbr = 6 ) - ( SELECT CAST(SUM(tavg) AS REAL) / COUNT(`date`) FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T1.`date` LIKE '%2012-05%' AND T2.store_nbr = 7 )
bird
CREATE TABLE mondial_geo (Country1 text, Country2 text, Length real, Name text, Country text, Province text, Population integer, Longitude real, Latitude real, Name text, Area real, Name text, Code text, Capital text, Province text, Area real, Population integer, Name text, Area real, Longitude real, Latitude real, Country text, GDP real, Agriculture real, Service real, Industry real, Inflation real, Country text, Continent text, Percentage real, Country text, Name text, Percentage real, Desert text, Country text, Province text, River text, Country text, Province text, Island text, Country text, Province text, Lake text, Country text, Province text, Mountain text, Country text, Province text, River text, Country text, Province text, Sea text, Country text, Province text, River text, Country text, Province text, Name text, Islands text, Area real, Height real, Type text, Longitude real, Latitude real, Island text, Sea text, Lake text, River text, Country text, Organization text, Type text, Name text, Area real, Depth real, Altitude real, Type text, River text, Longitude real, Latitude real, Country text, Name text, Percentage real, City text, Province text, Country text, River text, Lake text, Sea text, City text, Province text, Country text, Island text, Sea1 text, Sea2 text, Name text, Mountains text, Height real, Type text, Longitude real, Latitude real, Mountain text, Island text, Abbreviation text, Name text, City text, Country text, Province text, Established date, Country text, Independence date, Dependent text, Government text, Country text, Population_Growth real, Infant_Mortality real, Name text, Country text, Population integer, Area real, Capital text, CapProv text, Country text, Name text, Percentage real, Name text, River text, Lake text, Sea text, Length real, SourceLongitude real, SourceLatitude real, Mountains text, SourceAltitude real, EstuaryLongitude real, EstuaryLatitude real, Name text, Depth real, Country text, Target text)
In which country does Polish found least in?
SELECT T2.Name FROM ethnicGroup AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code WHERE T1.Name = 'Polish' GROUP BY T2.Name, T1.Percentage ORDER BY T1.Percentage ASC LIMIT 1
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CREATE TABLE mondial_geo (Country1 text, Country2 text, Length real, Name text, Country text, Province text, Population integer, Longitude real, Latitude real, Name text, Area real, Name text, Code text, Capital text, Province text, Area real, Population integer, Name text, Area real, Longitude real, Latitude real, Country text, GDP real, Agriculture real, Service real, Industry real, Inflation real, Country text, Continent text, Percentage real, Country text, Name text, Percentage real, Desert text, Country text, Province text, River text, Country text, Province text, Island text, Country text, Province text, Lake text, Country text, Province text, Mountain text, Country text, Province text, River text, Country text, Province text, Sea text, Country text, Province text, River text, Country text, Province text, Name text, Islands text, Area real, Height real, Type text, Longitude real, Latitude real, Island text, Sea text, Lake text, River text, Country text, Organization text, Type text, Name text, Area real, Depth real, Altitude real, Type text, River text, Longitude real, Latitude real, Country text, Name text, Percentage real, City text, Province text, Country text, River text, Lake text, Sea text, City text, Province text, Country text, Island text, Sea1 text, Sea2 text, Name text, Mountains text, Height real, Type text, Longitude real, Latitude real, Mountain text, Island text, Abbreviation text, Name text, City text, Country text, Province text, Established date, Country text, Independence date, Dependent text, Government text, Country text, Population_Growth real, Infant_Mortality real, Name text, Country text, Population integer, Area real, Capital text, CapProv text, Country text, Name text, Percentage real, Name text, River text, Lake text, Sea text, Length real, SourceLongitude real, SourceLatitude real, Mountains text, SourceAltitude real, EstuaryLongitude real, EstuaryLatitude real, Name text, Depth real, Country text, Target text)
Which countries have more than 90% of African? List the name of the country in full.
SELECT T2.Name FROM ethnicGroup AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code WHERE T1.Name = 'African' AND T1.Percentage > 90
bird
CREATE TABLE mondial_geo (Country1 text, Country2 text, Length real, Name text, Country text, Province text, Population integer, Longitude real, Latitude real, Name text, Area real, Name text, Code text, Capital text, Province text, Area real, Population integer, Name text, Area real, Longitude real, Latitude real, Country text, GDP real, Agriculture real, Service real, Industry real, Inflation real, Country text, Continent text, Percentage real, Country text, Name text, Percentage real, Desert text, Country text, Province text, River text, Country text, Province text, Island text, Country text, Province text, Lake text, Country text, Province text, Mountain text, Country text, Province text, River text, Country text, Province text, Sea text, Country text, Province text, River text, Country text, Province text, Name text, Islands text, Area real, Height real, Type text, Longitude real, Latitude real, Island text, Sea text, Lake text, River text, Country text, Organization text, Type text, Name text, Area real, Depth real, Altitude real, Type text, River text, Longitude real, Latitude real, Country text, Name text, Percentage real, City text, Province text, Country text, River text, Lake text, Sea text, City text, Province text, Country text, Island text, Sea1 text, Sea2 text, Name text, Mountains text, Height real, Type text, Longitude real, Latitude real, Mountain text, Island text, Abbreviation text, Name text, City text, Country text, Province text, Established date, Country text, Independence date, Dependent text, Government text, Country text, Population_Growth real, Infant_Mortality real, Name text, Country text, Population integer, Area real, Capital text, CapProv text, Country text, Name text, Percentage real, Name text, River text, Lake text, Sea text, Length real, SourceLongitude real, SourceLatitude real, Mountains text, SourceAltitude real, EstuaryLongitude real, EstuaryLatitude real, Name text, Depth real, Country text, Target text)
State the different ethnic group and percentage of the language in Singapore.
SELECT T1.Name, T1.Percentage FROM ethnicGroup AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code WHERE T2.Name = 'Singapore' GROUP BY T1.Name, T1.Percentage
bird
CREATE TABLE mondial_geo (Country1 text, Country2 text, Length real, Name text, Country text, Province text, Population integer, Longitude real, Latitude real, Name text, Area real, Name text, Code text, Capital text, Province text, Area real, Population integer, Name text, Area real, Longitude real, Latitude real, Country text, GDP real, Agriculture real, Service real, Industry real, Inflation real, Country text, Continent text, Percentage real, Country text, Name text, Percentage real, Desert text, Country text, Province text, River text, Country text, Province text, Island text, Country text, Province text, Lake text, Country text, Province text, Mountain text, Country text, Province text, River text, Country text, Province text, Sea text, Country text, Province text, River text, Country text, Province text, Name text, Islands text, Area real, Height real, Type text, Longitude real, Latitude real, Island text, Sea text, Lake text, River text, Country text, Organization text, Type text, Name text, Area real, Depth real, Altitude real, Type text, River text, Longitude real, Latitude real, Country text, Name text, Percentage real, City text, Province text, Country text, River text, Lake text, Sea text, City text, Province text, Country text, Island text, Sea1 text, Sea2 text, Name text, Mountains text, Height real, Type text, Longitude real, Latitude real, Mountain text, Island text, Abbreviation text, Name text, City text, Country text, Province text, Established date, Country text, Independence date, Dependent text, Government text, Country text, Population_Growth real, Infant_Mortality real, Name text, Country text, Population integer, Area real, Capital text, CapProv text, Country text, Name text, Percentage real, Name text, River text, Lake text, Sea text, Length real, SourceLongitude real, SourceLatitude real, Mountains text, SourceAltitude real, EstuaryLongitude real, EstuaryLatitude real, Name text, Depth real, Country text, Target text)
Calculate the percentage of country which gained independence as republic after 1970.
SELECT CAST(SUM(CASE WHEN Government = 'republic' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(Country) FROM politics WHERE STRFTIME('%Y', Independence) > '1970'
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CREATE TABLE mondial_geo (Country1 text, Country2 text, Length real, Name text, Country text, Province text, Population integer, Longitude real, Latitude real, Name text, Area real, Name text, Code text, Capital text, Province text, Area real, Population integer, Name text, Area real, Longitude real, Latitude real, Country text, GDP real, Agriculture real, Service real, Industry real, Inflation real, Country text, Continent text, Percentage real, Country text, Name text, Percentage real, Desert text, Country text, Province text, River text, Country text, Province text, Island text, Country text, Province text, Lake text, Country text, Province text, Mountain text, Country text, Province text, River text, Country text, Province text, Sea text, Country text, Province text, River text, Country text, Province text, Name text, Islands text, Area real, Height real, Type text, Longitude real, Latitude real, Island text, Sea text, Lake text, River text, Country text, Organization text, Type text, Name text, Area real, Depth real, Altitude real, Type text, River text, Longitude real, Latitude real, Country text, Name text, Percentage real, City text, Province text, Country text, River text, Lake text, Sea text, City text, Province text, Country text, Island text, Sea1 text, Sea2 text, Name text, Mountains text, Height real, Type text, Longitude real, Latitude real, Mountain text, Island text, Abbreviation text, Name text, City text, Country text, Province text, Established date, Country text, Independence date, Dependent text, Government text, Country text, Population_Growth real, Infant_Mortality real, Name text, Country text, Population integer, Area real, Capital text, CapProv text, Country text, Name text, Percentage real, Name text, River text, Lake text, Sea text, Length real, SourceLongitude real, SourceLatitude real, Mountains text, SourceAltitude real, EstuaryLongitude real, EstuaryLatitude real, Name text, Depth real, Country text, Target text)
Find the GPD for Bosnia and Herzegovina and the type of government it belongs to.
SELECT T1.GDP, T2.Government FROM economy AS T1 INNER JOIN politics AS T2 ON T1.Country = T2.Country INNER JOIN country AS T3 ON T3.Code = T2.Country WHERE T3.Name = 'Bosnia and Herzegovina'
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CREATE TABLE mondial_geo (Country1 text, Country2 text, Length real, Name text, Country text, Province text, Population integer, Longitude real, Latitude real, Name text, Area real, Name text, Code text, Capital text, Province text, Area real, Population integer, Name text, Area real, Longitude real, Latitude real, Country text, GDP real, Agriculture real, Service real, Industry real, Inflation real, Country text, Continent text, Percentage real, Country text, Name text, Percentage real, Desert text, Country text, Province text, River text, Country text, Province text, Island text, Country text, Province text, Lake text, Country text, Province text, Mountain text, Country text, Province text, River text, Country text, Province text, Sea text, Country text, Province text, River text, Country text, Province text, Name text, Islands text, Area real, Height real, Type text, Longitude real, Latitude real, Island text, Sea text, Lake text, River text, Country text, Organization text, Type text, Name text, Area real, Depth real, Altitude real, Type text, River text, Longitude real, Latitude real, Country text, Name text, Percentage real, City text, Province text, Country text, River text, Lake text, Sea text, City text, Province text, Country text, Island text, Sea1 text, Sea2 text, Name text, Mountains text, Height real, Type text, Longitude real, Latitude real, Mountain text, Island text, Abbreviation text, Name text, City text, Country text, Province text, Established date, Country text, Independence date, Dependent text, Government text, Country text, Population_Growth real, Infant_Mortality real, Name text, Country text, Population integer, Area real, Capital text, CapProv text, Country text, Name text, Percentage real, Name text, River text, Lake text, Sea text, Length real, SourceLongitude real, SourceLatitude real, Mountains text, SourceAltitude real, EstuaryLongitude real, EstuaryLatitude real, Name text, Depth real, Country text, Target text)
State the country and its population with population growth greater than 2% but infant mortality rate less than 5%.
SELECT T1.Name, T1.Population FROM country AS T1 INNER JOIN population AS T2 ON T1.Code = T2.Country WHERE T2.Population_Growth > 2 AND T2.Infant_Mortality < 5
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CREATE TABLE mondial_geo (Country1 text, Country2 text, Length real, Name text, Country text, Province text, Population integer, Longitude real, Latitude real, Name text, Area real, Name text, Code text, Capital text, Province text, Area real, Population integer, Name text, Area real, Longitude real, Latitude real, Country text, GDP real, Agriculture real, Service real, Industry real, Inflation real, Country text, Continent text, Percentage real, Country text, Name text, Percentage real, Desert text, Country text, Province text, River text, Country text, Province text, Island text, Country text, Province text, Lake text, Country text, Province text, Mountain text, Country text, Province text, River text, Country text, Province text, Sea text, Country text, Province text, River text, Country text, Province text, Name text, Islands text, Area real, Height real, Type text, Longitude real, Latitude real, Island text, Sea text, Lake text, River text, Country text, Organization text, Type text, Name text, Area real, Depth real, Altitude real, Type text, River text, Longitude real, Latitude real, Country text, Name text, Percentage real, City text, Province text, Country text, River text, Lake text, Sea text, City text, Province text, Country text, Island text, Sea1 text, Sea2 text, Name text, Mountains text, Height real, Type text, Longitude real, Latitude real, Mountain text, Island text, Abbreviation text, Name text, City text, Country text, Province text, Established date, Country text, Independence date, Dependent text, Government text, Country text, Population_Growth real, Infant_Mortality real, Name text, Country text, Population integer, Area real, Capital text, CapProv text, Country text, Name text, Percentage real, Name text, River text, Lake text, Sea text, Length real, SourceLongitude real, SourceLatitude real, Mountains text, SourceAltitude real, EstuaryLongitude real, EstuaryLatitude real, Name text, Depth real, Country text, Target text)
Which is the majority of the ethnic group in country with great than 10,000,000 population
SELECT T2.Name FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country WHERE T1.Population > 10000000 GROUP BY T2.Name, T2.Percentage ORDER BY T2.Percentage DESC LIMIT 2
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CREATE TABLE mondial_geo (Country1 text, Country2 text, Length real, Name text, Country text, Province text, Population integer, Longitude real, Latitude real, Name text, Area real, Name text, Code text, Capital text, Province text, Area real, Population integer, Name text, Area real, Longitude real, Latitude real, Country text, GDP real, Agriculture real, Service real, Industry real, Inflation real, Country text, Continent text, Percentage real, Country text, Name text, Percentage real, Desert text, Country text, Province text, River text, Country text, Province text, Island text, Country text, Province text, Lake text, Country text, Province text, Mountain text, Country text, Province text, River text, Country text, Province text, Sea text, Country text, Province text, River text, Country text, Province text, Name text, Islands text, Area real, Height real, Type text, Longitude real, Latitude real, Island text, Sea text, Lake text, River text, Country text, Organization text, Type text, Name text, Area real, Depth real, Altitude real, Type text, River text, Longitude real, Latitude real, Country text, Name text, Percentage real, City text, Province text, Country text, River text, Lake text, Sea text, City text, Province text, Country text, Island text, Sea1 text, Sea2 text, Name text, Mountains text, Height real, Type text, Longitude real, Latitude real, Mountain text, Island text, Abbreviation text, Name text, City text, Country text, Province text, Established date, Country text, Independence date, Dependent text, Government text, Country text, Population_Growth real, Infant_Mortality real, Name text, Country text, Population integer, Area real, Capital text, CapProv text, Country text, Name text, Percentage real, Name text, River text, Lake text, Sea text, Length real, SourceLongitude real, SourceLatitude real, Mountains text, SourceAltitude real, EstuaryLongitude real, EstuaryLatitude real, Name text, Depth real, Country text, Target text)
Provide the country with its full name which has the most ethnic group? List them all ethnic group together with its percentage.
SELECT T1.Name, T2.Name, T2.Percentage FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country WHERE T1.Name = ( SELECT T1.Name FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country GROUP BY T1.Name ORDER BY COUNT(T2.Name) DESC LIMIT 1 ) GROUP BY T1.Name, T2.Name, T2.Percentage
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CREATE TABLE mondial_geo (Country1 text, Country2 text, Length real, Name text, Country text, Province text, Population integer, Longitude real, Latitude real, Name text, Area real, Name text, Code text, Capital text, Province text, Area real, Population integer, Name text, Area real, Longitude real, Latitude real, Country text, GDP real, Agriculture real, Service real, Industry real, Inflation real, Country text, Continent text, Percentage real, Country text, Name text, Percentage real, Desert text, Country text, Province text, River text, Country text, Province text, Island text, Country text, Province text, Lake text, Country text, Province text, Mountain text, Country text, Province text, River text, Country text, Province text, Sea text, Country text, Province text, River text, Country text, Province text, Name text, Islands text, Area real, Height real, Type text, Longitude real, Latitude real, Island text, Sea text, Lake text, River text, Country text, Organization text, Type text, Name text, Area real, Depth real, Altitude real, Type text, River text, Longitude real, Latitude real, Country text, Name text, Percentage real, City text, Province text, Country text, River text, Lake text, Sea text, City text, Province text, Country text, Island text, Sea1 text, Sea2 text, Name text, Mountains text, Height real, Type text, Longitude real, Latitude real, Mountain text, Island text, Abbreviation text, Name text, City text, Country text, Province text, Established date, Country text, Independence date, Dependent text, Government text, Country text, Population_Growth real, Infant_Mortality real, Name text, Country text, Population integer, Area real, Capital text, CapProv text, Country text, Name text, Percentage real, Name text, River text, Lake text, Sea text, Length real, SourceLongitude real, SourceLatitude real, Mountains text, SourceAltitude real, EstuaryLongitude real, EstuaryLatitude real, Name text, Depth real, Country text, Target text)
What is the full name of the country with 100% Africans?
SELECT T1.Name FROM ethnicGroup AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code WHERE T1.Percentage = 100 AND T1.Name = 'African'
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