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