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storm_record
List name, dates active, and number of deaths for all storms with at least 1 death.
SELECT name , dates_active , number_deaths FROM storm WHERE number_deaths >= 1
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "List", "name", ",", "dates", "active", ",", "and", "number", "of", "deaths", "for", "all", "storms", "with", "at", "least", "1", "death", "." ]
storm_record
What are the names, dates active, and number of deaths for storms that had 1 or more death?
SELECT name , dates_active , number_deaths FROM storm WHERE number_deaths >= 1
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "What", "are", "the", "names", ",", "dates", "active", ",", "and", "number", "of", "deaths", "for", "storms", "that", "had", "1", "or", "more", "death", "?" ]
storm_record
Show the average and maximum damage for all storms with max speed higher than 1000.
SELECT avg(damage_millions_USD) , max(damage_millions_USD) FROM storm WHERE max_speed > 1000
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "Show", "the", "average", "and", "maximum", "damage", "for", "all", "storms", "with", "max", "speed", "higher", "than", "1000", "." ]
storm_record
What is the average and maximum damage in millions for storms that had a max speed over 1000?
SELECT avg(damage_millions_USD) , max(damage_millions_USD) FROM storm WHERE max_speed > 1000
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "What", "is", "the", "average", "and", "maximum", "damage", "in", "millions", "for", "storms", "that", "had", "a", "max", "speed", "over", "1000", "?" ]
storm_record
What is the total number of deaths and damage for all storms with a max speed greater than the average?
SELECT sum(number_deaths) , sum(damage_millions_USD) FROM storm WHERE max_speed > (SELECT avg(max_speed) FROM storm)
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "What", "is", "the", "total", "number", "of", "deaths", "and", "damage", "for", "all", "storms", "with", "a", "max", "speed", "greater", "than", "the", "average", "?" ]
storm_record
Return the total number of deaths and total damange in millions for storms that had a max speed greater than the average.
SELECT sum(number_deaths) , sum(damage_millions_USD) FROM storm WHERE max_speed > (SELECT avg(max_speed) FROM storm)
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "Return", "the", "total", "number", "of", "deaths", "and", "total", "damange", "in", "millions", "for", "storms", "that", "had", "a", "max", "speed", "greater", "than", "the", "average", "." ]
storm_record
List name and damage for all storms in a descending order of max speed.
SELECT name , damage_millions_USD FROM storm ORDER BY max_speed DESC
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "List", "name", "and", "damage", "for", "all", "storms", "in", "a", "descending", "order", "of", "max", "speed", "." ]
storm_record
What are the names and damage in millions for storms, ordered by their max speeds descending?
SELECT name , damage_millions_USD FROM storm ORDER BY max_speed DESC
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "What", "are", "the", "names", "and", "damage", "in", "millions", "for", "storms", ",", "ordered", "by", "their", "max", "speeds", "descending", "?" ]
storm_record
How many regions are affected?
SELECT count(DISTINCT region_id) FROM affected_region
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "How", "many", "regions", "are", "affected", "?" ]
storm_record
Count the number of different affected regions.
SELECT count(DISTINCT region_id) FROM affected_region
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "Count", "the", "number", "of", "different", "affected", "regions", "." ]
storm_record
Show the name for regions not affected.
SELECT region_name FROM region WHERE region_id NOT IN (SELECT region_id FROM affected_region)
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "Show", "the", "name", "for", "regions", "not", "affected", "." ]
storm_record
What are the names of regions that were not affected?
SELECT region_name FROM region WHERE region_id NOT IN (SELECT region_id FROM affected_region)
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "What", "are", "the", "names", "of", "regions", "that", "were", "not", "affected", "?" ]
storm_record
Show the name for regions and the number of storms for each region.
SELECT T1.region_name , count(*) FROM region AS T1 JOIN affected_region AS T2 ON T1.region_id = T2.region_id GROUP BY T1.region_id
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "Show", "the", "name", "for", "regions", "and", "the", "number", "of", "storms", "for", "each", "region", "." ]
storm_record
How many storms occured in each region?
SELECT T1.region_name , count(*) FROM region AS T1 JOIN affected_region AS T2 ON T1.region_id = T2.region_id GROUP BY T1.region_id
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "How", "many", "storms", "occured", "in", "each", "region", "?" ]
storm_record
List the name for storms and the number of affected regions for each storm.
SELECT T1.name , count(*) FROM storm AS T1 JOIN affected_region AS T2 ON T1.storm_id = T2.storm_id GROUP BY T1.storm_id
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "List", "the", "name", "for", "storms", "and", "the", "number", "of", "affected", "regions", "for", "each", "storm", "." ]
storm_record
How many regions were affected by each storm?
SELECT T1.name , count(*) FROM storm AS T1 JOIN affected_region AS T2 ON T1.storm_id = T2.storm_id GROUP BY T1.storm_id
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "How", "many", "regions", "were", "affected", "by", "each", "storm", "?" ]
storm_record
What is the storm name and max speed which affected the greatest number of regions?
SELECT T1.name , T1.max_speed FROM storm AS T1 JOIN affected_region AS T2 ON T1.storm_id = T2.storm_id GROUP BY T1.storm_id ORDER BY count(*) DESC LIMIT 1
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "What", "is", "the", "storm", "name", "and", "max", "speed", "which", "affected", "the", "greatest", "number", "of", "regions", "?" ]
storm_record
Return the name and max speed of the storm that affected the most regions.
SELECT T1.name , T1.max_speed FROM storm AS T1 JOIN affected_region AS T2 ON T1.storm_id = T2.storm_id GROUP BY T1.storm_id ORDER BY count(*) DESC LIMIT 1
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "Return", "the", "name", "and", "max", "speed", "of", "the", "storm", "that", "affected", "the", "most", "regions", "." ]
storm_record
Show the name of storms which don't have affected region in record.
SELECT name FROM storm WHERE storm_id NOT IN (SELECT storm_id FROM affected_region)
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "Show", "the", "name", "of", "storms", "which", "do", "n't", "have", "affected", "region", "in", "record", "." ]
storm_record
What are the names of storms that did not affect any regions?
SELECT name FROM storm WHERE storm_id NOT IN (SELECT storm_id FROM affected_region)
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "What", "are", "the", "names", "of", "storms", "that", "did", "not", "affect", "any", "regions", "?" ]
storm_record
Show storm name with at least two regions and 10 cities affected.
SELECT T1.name FROM storm AS T1 JOIN affected_region AS T2 ON T1.storm_id = T2.storm_id GROUP BY T1.storm_id HAVING count(*) >= 2 INTERSECT SELECT T1.name FROM storm AS T1 JOIN affected_region AS T2 ON T1.storm_id = T2.storm_id GROUP BY T1.storm_id HAVING sum(T2.number_city_affected) >= 10
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "Show", "storm", "name", "with", "at", "least", "two", "regions", "and", "10", "cities", "affected", "." ]
storm_record
What are the names of storms that both affected two or more regions and affected a total of 10 or more cities?
SELECT T1.name FROM storm AS T1 JOIN affected_region AS T2 ON T1.storm_id = T2.storm_id GROUP BY T1.storm_id HAVING count(*) >= 2 INTERSECT SELECT T1.name FROM storm AS T1 JOIN affected_region AS T2 ON T1.storm_id = T2.storm_id GROUP BY T1.storm_id HAVING sum(T2.number_city_affected) >= 10
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "What", "are", "the", "names", "of", "storms", "that", "both", "affected", "two", "or", "more", "regions", "and", "affected", "a", "total", "of", "10", "or", "more", "cities", "?" ]
storm_record
Show all storm names except for those with at least two affected regions.
SELECT name FROM storm EXCEPT SELECT T1.name FROM storm AS T1 JOIN affected_region AS T2 ON T1.storm_id = T2.storm_id GROUP BY T1.storm_id HAVING count(*) >= 2
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "Show", "all", "storm", "names", "except", "for", "those", "with", "at", "least", "two", "affected", "regions", "." ]
storm_record
What are the names of storms that did not affect two or more regions?
SELECT name FROM storm EXCEPT SELECT T1.name FROM storm AS T1 JOIN affected_region AS T2 ON T1.storm_id = T2.storm_id GROUP BY T1.storm_id HAVING count(*) >= 2
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "What", "are", "the", "names", "of", "storms", "that", "did", "not", "affect", "two", "or", "more", "regions", "?" ]
storm_record
What are the region names affected by the storm with a number of deaths of least 10?
SELECT T2.region_name FROM affected_region AS T1 JOIN region AS T2 ON T1.region_id = T2.region_id JOIN storm AS T3 ON T1.storm_id = T3.storm_id WHERE T3.number_deaths >= 10
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "What", "are", "the", "region", "names", "affected", "by", "the", "storm", "with", "a", "number", "of", "deaths", "of", "least", "10", "?" ]
storm_record
Return the names of the regions affected by storms that had a death count of at least 10.
SELECT T2.region_name FROM affected_region AS T1 JOIN region AS T2 ON T1.region_id = T2.region_id JOIN storm AS T3 ON T1.storm_id = T3.storm_id WHERE T3.number_deaths >= 10
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "Return", "the", "names", "of", "the", "regions", "affected", "by", "storms", "that", "had", "a", "death", "count", "of", "at", "least", "10", "." ]
storm_record
Show all storm names affecting region "Denmark".
SELECT T3.name FROM affected_region AS T1 JOIN region AS T2 ON T1.region_id = T2.region_id JOIN storm AS T3 ON T1.storm_id = T3.storm_id WHERE T2.region_name = 'Denmark'
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "Show", "all", "storm", "names", "affecting", "region", "``", "Denmark", "''", "." ]
storm_record
What are the names of the storms that affected Denmark?
SELECT T3.name FROM affected_region AS T1 JOIN region AS T2 ON T1.region_id = T2.region_id JOIN storm AS T3 ON T1.storm_id = T3.storm_id WHERE T2.region_name = 'Denmark'
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "What", "are", "the", "names", "of", "the", "storms", "that", "affected", "Denmark", "?" ]
storm_record
Show the region name with at least two storms.
SELECT T1.region_name FROM region AS T1 JOIN affected_region AS T2 ON T1.region_id = T2.region_id GROUP BY T1.region_id HAVING count(*) >= 2
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "Show", "the", "region", "name", "with", "at", "least", "two", "storms", "." ]
storm_record
What are the names of regions with two or more storms?
SELECT T1.region_name FROM region AS T1 JOIN affected_region AS T2 ON T1.region_id = T2.region_id GROUP BY T1.region_id HAVING count(*) >= 2
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "What", "are", "the", "names", "of", "regions", "with", "two", "or", "more", "storms", "?" ]
storm_record
Find the names of the regions which were affected by the storm that killed the greatest number of people.
SELECT T2.region_name FROM affected_region AS T1 JOIN region AS T2 ON T1.region_id = T2.region_id JOIN storm AS T3 ON T1.storm_id = T3.storm_id ORDER BY T3.Number_Deaths DESC LIMIT 1
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "Find", "the", "names", "of", "the", "regions", "which", "were", "affected", "by", "the", "storm", "that", "killed", "the", "greatest", "number", "of", "people", "." ]
storm_record
What are the names of regions that were affected by the storm in which the most people died?
SELECT T2.region_name FROM affected_region AS T1 JOIN region AS T2 ON T1.region_id = T2.region_id JOIN storm AS T3 ON T1.storm_id = T3.storm_id ORDER BY T3.Number_Deaths DESC LIMIT 1
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "What", "are", "the", "names", "of", "regions", "that", "were", "affected", "by", "the", "storm", "in", "which", "the", "most", "people", "died", "?" ]
storm_record
Find the name of the storm that affected both Afghanistan and Albania regions.
SELECT T3.Name FROM affected_region AS T1 JOIN region AS T2 ON T1.region_id = T2.region_id JOIN storm AS T3 ON T1.storm_id = T3.storm_id WHERE T2.Region_name = 'Afghanistan' INTERSECT SELECT T3.Name FROM affected_region AS T1 JOIN region AS T2 ON T1.region_id = T2.region_id JOIN storm AS T3 ON T1.storm_id = T...
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "Find", "the", "name", "of", "the", "storm", "that", "affected", "both", "Afghanistan", "and", "Albania", "regions", "." ]
storm_record
What are the names of the storms that affected both the regions of Afghanistan and Albania?
SELECT T3.Name FROM affected_region AS T1 JOIN region AS T2 ON T1.region_id = T2.region_id JOIN storm AS T3 ON T1.storm_id = T3.storm_id WHERE T2.Region_name = 'Afghanistan' INTERSECT SELECT T3.Name FROM affected_region AS T1 JOIN region AS T2 ON T1.region_id = T2.region_id JOIN storm AS T3 ON T1.storm_id = T...
storm: Storm_ID (number), Name (text), Dates_active (text), Max_speed (number), Damage_millions_USD (number), Number_Deaths (number) | region: Region_id (number), Region_code (text), Region_name (text) | affected_region: Region_id (number), Storm_ID (number), Number_city_affected (number)
[ "What", "are", "the", "names", "of", "the", "storms", "that", "affected", "both", "the", "regions", "of", "Afghanistan", "and", "Albania", "?" ]
election
How many counties are there in total?
SELECT count(*) FROM county
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "How", "many", "counties", "are", "there", "in", "total", "?" ]
election
Count the total number of counties.
SELECT count(*) FROM county
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Count", "the", "total", "number", "of", "counties", "." ]
election
Show the county name and population of all counties.
SELECT County_name , Population FROM county
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Show", "the", "county", "name", "and", "population", "of", "all", "counties", "." ]
election
What are the name and population of each county?
SELECT County_name , Population FROM county
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "What", "are", "the", "name", "and", "population", "of", "each", "county", "?" ]
election
Show the average population of all counties.
SELECT avg(Population) FROM county
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Show", "the", "average", "population", "of", "all", "counties", "." ]
election
On average how large is the population of the counties?
SELECT avg(Population) FROM county
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "On", "average", "how", "large", "is", "the", "population", "of", "the", "counties", "?" ]
election
Return the maximum and minimum population among all counties.
SELECT max(Population) , min(Population) FROM county
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Return", "the", "maximum", "and", "minimum", "population", "among", "all", "counties", "." ]
election
What are the maximum and minimum population of the counties?
SELECT max(Population) , min(Population) FROM county
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "What", "are", "the", "maximum", "and", "minimum", "population", "of", "the", "counties", "?" ]
election
Show all the distinct districts for elections.
SELECT DISTINCT District FROM election
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Show", "all", "the", "distinct", "districts", "for", "elections", "." ]
election
What are the distinct districts for elections?
SELECT DISTINCT District FROM election
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "What", "are", "the", "distinct", "districts", "for", "elections", "?" ]
election
Show the zip code of the county with name "Howard".
SELECT Zip_code FROM county WHERE County_name = "Howard"
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Show", "the", "zip", "code", "of", "the", "county", "with", "name", "``", "Howard", "''", "." ]
election
What is the zip code the county named "Howard" is located in?
SELECT Zip_code FROM county WHERE County_name = "Howard"
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "What", "is", "the", "zip", "code", "the", "county", "named", "``", "Howard", "''", "is", "located", "in", "?" ]
election
Show the delegate from district 1 in election.
SELECT Delegate FROM election WHERE District = 1
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Show", "the", "delegate", "from", "district", "1", "in", "election", "." ]
election
Who is the delegate of district 1 in the elections?
SELECT Delegate FROM election WHERE District = 1
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Who", "is", "the", "delegate", "of", "district", "1", "in", "the", "elections", "?" ]
election
Show the delegate and committee information of elections.
SELECT Delegate , Committee FROM election
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Show", "the", "delegate", "and", "committee", "information", "of", "elections", "." ]
election
What are the delegate and committee information for each election record?
SELECT Delegate , Committee FROM election
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "What", "are", "the", "delegate", "and", "committee", "information", "for", "each", "election", "record", "?" ]
election
How many distinct governors are there?
SELECT count(DISTINCT Governor) FROM party
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "How", "many", "distinct", "governors", "are", "there", "?" ]
election
Count the number of distinct governors.
SELECT count(DISTINCT Governor) FROM party
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Count", "the", "number", "of", "distinct", "governors", "." ]
election
Show the lieutenant governor and comptroller from the democratic party.
SELECT Lieutenant_Governor , Comptroller FROM party WHERE Party = "Democratic"
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Show", "the", "lieutenant", "governor", "and", "comptroller", "from", "the", "democratic", "party", "." ]
election
Who are the lieutenant governor and comptroller from the democratic party?
SELECT Lieutenant_Governor , Comptroller FROM party WHERE Party = "Democratic"
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Who", "are", "the", "lieutenant", "governor", "and", "comptroller", "from", "the", "democratic", "party", "?" ]
election
In which distinct years was the governor "Eliot Spitzer"?
SELECT DISTINCT YEAR FROM party WHERE Governor = "Eliot Spitzer"
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "In", "which", "distinct", "years", "was", "the", "governor", "``", "Eliot", "Spitzer", "''", "?" ]
election
Find the distinct years when the governor was named "Eliot Spitzer".
SELECT DISTINCT YEAR FROM party WHERE Governor = "Eliot Spitzer"
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Find", "the", "distinct", "years", "when", "the", "governor", "was", "named", "``", "Eliot", "Spitzer", "''", "." ]
election
Show all the information about election.
SELECT * FROM election
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Show", "all", "the", "information", "about", "election", "." ]
election
Return all the information for each election record.
SELECT * FROM election
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Return", "all", "the", "information", "for", "each", "election", "record", "." ]
election
Show the delegates and the names of county they belong to.
SELECT T2.Delegate , T1.County_name FROM county AS T1 JOIN election AS T2 ON T1.County_id = T2.District
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Show", "the", "delegates", "and", "the", "names", "of", "county", "they", "belong", "to", "." ]
election
What are the delegate and name of the county they belong to, for each county?
SELECT T2.Delegate , T1.County_name FROM county AS T1 JOIN election AS T2 ON T1.County_id = T2.District
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "What", "are", "the", "delegate", "and", "name", "of", "the", "county", "they", "belong", "to", ",", "for", "each", "county", "?" ]
election
Which delegates are from counties with population smaller than 100000?
SELECT T2.Delegate FROM county AS T1 JOIN election AS T2 ON T1.County_id = T2.District WHERE T1.Population < 100000
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Which", "delegates", "are", "from", "counties", "with", "population", "smaller", "than", "100000", "?" ]
election
Find the delegates who are from counties with population below 100000.
SELECT T2.Delegate FROM county AS T1 JOIN election AS T2 ON T1.County_id = T2.District WHERE T1.Population < 100000
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Find", "the", "delegates", "who", "are", "from", "counties", "with", "population", "below", "100000", "." ]
election
How many distinct delegates are from counties with population larger than 50000?
SELECT count(DISTINCT T2.Delegate) FROM county AS T1 JOIN election AS T2 ON T1.County_id = T2.District WHERE T1.Population > 50000
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "How", "many", "distinct", "delegates", "are", "from", "counties", "with", "population", "larger", "than", "50000", "?" ]
election
Count the number of distinct delegates who are from counties with population above 50000.
SELECT count(DISTINCT T2.Delegate) FROM county AS T1 JOIN election AS T2 ON T1.County_id = T2.District WHERE T1.Population > 50000
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Count", "the", "number", "of", "distinct", "delegates", "who", "are", "from", "counties", "with", "population", "above", "50000", "." ]
election
What are the names of the county that the delegates on "Appropriations" committee belong to?
SELECT T1.County_name FROM county AS T1 JOIN election AS T2 ON T1.County_id = T2.District WHERE T2.Committee = "Appropriations"
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "What", "are", "the", "names", "of", "the", "county", "that", "the", "delegates", "on", "``", "Appropriations", "''", "committee", "belong", "to", "?" ]
election
Which county do the delegates on "Appropriations" committee belong to? Give me the county names.
SELECT T1.County_name FROM county AS T1 JOIN election AS T2 ON T1.County_id = T2.District WHERE T2.Committee = "Appropriations"
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Which", "county", "do", "the", "delegates", "on", "``", "Appropriations", "''", "committee", "belong", "to", "?", "Give", "me", "the", "county", "names", "." ]
election
Show the delegates and the names of the party they belong to.
SELECT T1.Delegate , T2.Party FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Show", "the", "delegates", "and", "the", "names", "of", "the", "party", "they", "belong", "to", "." ]
election
For each delegate, find the names of the party they are part of.
SELECT T1.Delegate , T2.Party FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "For", "each", "delegate", ",", "find", "the", "names", "of", "the", "party", "they", "are", "part", "of", "." ]
election
Who were the governors of the parties associated with delegates from district 1?
SELECT T2.Governor FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T1.District = 1
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Who", "were", "the", "governors", "of", "the", "parties", "associated", "with", "delegates", "from", "district", "1", "?" ]
election
Find the parties associated with the delegates from district 1. Who served as governors of the parties?
SELECT T2.Governor FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T1.District = 1
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Find", "the", "parties", "associated", "with", "the", "delegates", "from", "district", "1.", "Who", "served", "as", "governors", "of", "the", "parties", "?" ]
election
Who were the comptrollers of the parties associated with the delegates from district 1 or district 2?
SELECT T2.Comptroller FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T1.District = 1 OR T1.District = 2
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Who", "were", "the", "comptrollers", "of", "the", "parties", "associated", "with", "the", "delegates", "from", "district", "1", "or", "district", "2", "?" ]
election
Find the parties associated with the delegates from district 1 or 2. Who served as comptrollers of the parties?
SELECT T2.Comptroller FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T1.District = 1 OR T1.District = 2
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Find", "the", "parties", "associated", "with", "the", "delegates", "from", "district", "1", "or", "2.", "Who", "served", "as", "comptrollers", "of", "the", "parties", "?" ]
election
Return all the committees that have delegates from Democratic party.
SELECT T1.Committee FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T2.Party = "Democratic"
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Return", "all", "the", "committees", "that", "have", "delegates", "from", "Democratic", "party", "." ]
election
Which committees have delegates from the Democratic party?
SELECT T1.Committee FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T2.Party = "Democratic"
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Which", "committees", "have", "delegates", "from", "the", "Democratic", "party", "?" ]
election
Show the name of each county along with the corresponding number of delegates from that county.
SELECT T1.County_name , COUNT(*) FROM county AS T1 JOIN election AS T2 ON T1.County_id = T2.District GROUP BY T1.County_id
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Show", "the", "name", "of", "each", "county", "along", "with", "the", "corresponding", "number", "of", "delegates", "from", "that", "county", "." ]
election
For each county, find the name of the county and the number of delegates from that county.
SELECT T1.County_name , COUNT(*) FROM county AS T1 JOIN election AS T2 ON T1.County_id = T2.District GROUP BY T1.County_id
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "For", "each", "county", ",", "find", "the", "name", "of", "the", "county", "and", "the", "number", "of", "delegates", "from", "that", "county", "." ]
election
Show the name of each party and the corresponding number of delegates from that party.
SELECT T2.Party , COUNT(*) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID GROUP BY T1.Party
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Show", "the", "name", "of", "each", "party", "and", "the", "corresponding", "number", "of", "delegates", "from", "that", "party", "." ]
election
For each party, return the name of the party and the number of delegates from that party.
SELECT T2.Party , COUNT(*) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID GROUP BY T1.Party
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "For", "each", "party", ",", "return", "the", "name", "of", "the", "party", "and", "the", "number", "of", "delegates", "from", "that", "party", "." ]
election
Return the names of all counties sorted by population in ascending order.
SELECT County_name FROM county ORDER BY Population ASC
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Return", "the", "names", "of", "all", "counties", "sorted", "by", "population", "in", "ascending", "order", "." ]
election
Sort the names of all counties in ascending order of population.
SELECT County_name FROM county ORDER BY Population ASC
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Sort", "the", "names", "of", "all", "counties", "in", "ascending", "order", "of", "population", "." ]
election
Return the names of all counties sorted by county name in descending alphabetical order.
SELECT County_name FROM county ORDER BY County_name DESC
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Return", "the", "names", "of", "all", "counties", "sorted", "by", "county", "name", "in", "descending", "alphabetical", "order", "." ]
election
Sort the names of all counties in descending alphabetical order.
SELECT County_name FROM county ORDER BY County_name DESC
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Sort", "the", "names", "of", "all", "counties", "in", "descending", "alphabetical", "order", "." ]
election
Show the name of the county with the biggest population.
SELECT County_name FROM county ORDER BY Population DESC LIMIT 1
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Show", "the", "name", "of", "the", "county", "with", "the", "biggest", "population", "." ]
election
Which county has the largest population? Give me the name of the county.
SELECT County_name FROM county ORDER BY Population DESC LIMIT 1
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Which", "county", "has", "the", "largest", "population", "?", "Give", "me", "the", "name", "of", "the", "county", "." ]
election
Show the 3 counties with the smallest population.
SELECT County_name FROM county ORDER BY Population ASC LIMIT 3
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Show", "the", "3", "counties", "with", "the", "smallest", "population", "." ]
election
What are the 3 counties that have the smallest population? Give me the county names.
SELECT County_name FROM county ORDER BY Population ASC LIMIT 3
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "What", "are", "the", "3", "counties", "that", "have", "the", "smallest", "population", "?", "Give", "me", "the", "county", "names", "." ]
election
Show the names of counties that have at least two delegates.
SELECT T1.County_name FROM county AS T1 JOIN election AS T2 ON T1.County_id = T2.District GROUP BY T1.County_id HAVING COUNT(*) >= 2
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Show", "the", "names", "of", "counties", "that", "have", "at", "least", "two", "delegates", "." ]
election
Which counties have two or more delegates? Give me the county names.
SELECT T1.County_name FROM county AS T1 JOIN election AS T2 ON T1.County_id = T2.District GROUP BY T1.County_id HAVING COUNT(*) >= 2
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Which", "counties", "have", "two", "or", "more", "delegates", "?", "Give", "me", "the", "county", "names", "." ]
election
Show the name of the party that has at least two records.
SELECT Party FROM party GROUP BY Party HAVING COUNT(*) >= 2
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Show", "the", "name", "of", "the", "party", "that", "has", "at", "least", "two", "records", "." ]
election
Which party has two or more records?
SELECT Party FROM party GROUP BY Party HAVING COUNT(*) >= 2
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Which", "party", "has", "two", "or", "more", "records", "?" ]
election
Show the name of the party that has the most delegates.
SELECT T2.Party FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID GROUP BY T1.Party ORDER BY COUNT(*) DESC LIMIT 1
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Show", "the", "name", "of", "the", "party", "that", "has", "the", "most", "delegates", "." ]
election
Which party has the largest number of delegates?
SELECT T2.Party FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID GROUP BY T1.Party ORDER BY COUNT(*) DESC LIMIT 1
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Which", "party", "has", "the", "largest", "number", "of", "delegates", "?" ]
election
Show the people that have been governor the most times.
SELECT Governor FROM party GROUP BY Governor ORDER BY COUNT(*) DESC LIMIT 1
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Show", "the", "people", "that", "have", "been", "governor", "the", "most", "times", "." ]
election
Which people severed as governor most frequently?
SELECT Governor FROM party GROUP BY Governor ORDER BY COUNT(*) DESC LIMIT 1
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Which", "people", "severed", "as", "governor", "most", "frequently", "?" ]
election
Show the people that have been comptroller the most times and the corresponding number of times.
SELECT Comptroller , COUNT(*) FROM party GROUP BY Comptroller ORDER BY COUNT(*) DESC LIMIT 1
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Show", "the", "people", "that", "have", "been", "comptroller", "the", "most", "times", "and", "the", "corresponding", "number", "of", "times", "." ]
election
Which people severed as comptroller most frequently? Give me the name of the person and the frequency count.
SELECT Comptroller , COUNT(*) FROM party GROUP BY Comptroller ORDER BY COUNT(*) DESC LIMIT 1
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Which", "people", "severed", "as", "comptroller", "most", "frequently", "?", "Give", "me", "the", "name", "of", "the", "person", "and", "the", "frequency", "count", "." ]
election
What are the names of parties that do not have delegates in election?
SELECT Party FROM party WHERE Party_ID NOT IN (SELECT Party FROM election)
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "What", "are", "the", "names", "of", "parties", "that", "do", "not", "have", "delegates", "in", "election", "?" ]
election
Which parties did not have any delegates in elections?
SELECT Party FROM party WHERE Party_ID NOT IN (SELECT Party FROM election)
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Which", "parties", "did", "not", "have", "any", "delegates", "in", "elections", "?" ]
election
What are the names of parties that have both delegates on "Appropriations" committee and
SELECT T2.Party FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T1.Committee = "Appropriations" INTERSECT SELECT T2.Party FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T1.Committee = "Economic Matters"
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "What", "are", "the", "names", "of", "parties", "that", "have", "both", "delegates", "on", "``", "Appropriations", "''", "committee", "and" ]
election
Which parties have delegates in both the "Appropriations" committee and the "Economic Matters" committee?
SELECT T2.Party FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T1.Committee = "Appropriations" INTERSECT SELECT T2.Party FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T1.Committee = "Economic Matters"
county: County_Id (number), County_name (text), Population (number), Zip_code (text) | party: Party_ID (number), Year (number), Party (text), Governor (text), Lieutenant_Governor (text), Comptroller (text), Attorney_General (text), US_Senate (text) | election: Election_ID (number), Counties_Represented (text), District...
[ "Which", "parties", "have", "delegates", "in", "both", "the", "``", "Appropriations", "''", "committee", "and", "the", "``", "Economic", "Matters", "''", "committee", "?" ]