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-- Database schema | City : ID [ INTEGER ] primary_key , Name [ TEXT ] , CountryCode [ TEXT ] City.CountryCode = Country.Code , District [ TEXT ] , Population [ INTEGER ] | Country : Code [ TEXT ] primary_key , Name [ TEXT ] , Continent [ TEXT ] , Region [ TEXT ] , SurfaceArea [ REAL ] , IndepYear [ INTEGER ] , Population [ INTEGER ] , LifeExpectancy [ REAL ] , GNP [ REAL ] , GNPOld [ REAL ] , LocalName [ TEXT ] , GovernmentForm [ TEXT ] , HeadOfState [ TEXT ] , Capital [ INTEGER ] , Code2 [ TEXT ] | CountryLanguage : CountryCode [ TEXT ] CountryLanguage.CountryCode = Country.Code , Language [ TEXT ] , IsOfficial [ TEXT ] , Percentage [ REAL ] | -- -- What are the official languages used in Greece?
SELECT T1.Language FROM CountryLanguage AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T1.IsOfficial = 'T' AND T2.name = 'Greece';
-- Database schema | City : ID [ INTEGER ] primary_key , Name [ TEXT ] , CountryCode [ TEXT ] City.CountryCode = Country.Code , District [ TEXT ] , Population [ INTEGER ] | Country : Code [ TEXT ] primary_key , Name [ TEXT ] , Continent [ TEXT ] , Region [ TEXT ] , SurfaceArea [ REAL ] , IndepYear [ INTEGER ] , Population [ INTEGER ] , LifeExpectancy [ REAL ] , GNP [ REAL ] , GNPOld [ REAL ] , LocalName [ TEXT ] , GovernmentForm [ TEXT ] , HeadOfState [ TEXT ] , Capital [ INTEGER ] , Code2 [ TEXT ] | CountryLanguage : CountryCode [ TEXT ] CountryLanguage.CountryCode = Country.Code , Language [ TEXT ] , IsOfficial [ TEXT ] , Percentage [ REAL ] | -- -- Give the population of the country where Queimados city belongs.
SELECT T2.Population FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T1.Name = 'Queimados';
-- Database schema | City : ID [ INTEGER ] primary_key , Name [ TEXT ] , CountryCode [ TEXT ] City.CountryCode = Country.Code , District [ TEXT ] , Population [ INTEGER ] | Country : Code [ TEXT ] primary_key , Name [ TEXT ] , Continent [ TEXT ] , Region [ TEXT ] , SurfaceArea [ REAL ] , IndepYear [ INTEGER ] , Population [ INTEGER ] , LifeExpectancy [ REAL ] , GNP [ REAL ] , GNPOld [ REAL ] , LocalName [ TEXT ] , GovernmentForm [ TEXT ] , HeadOfState [ TEXT ] , Capital [ INTEGER ] , Code2 [ TEXT ] | CountryLanguage : CountryCode [ TEXT ] CountryLanguage.CountryCode = Country.Code , Language [ TEXT ] , IsOfficial [ TEXT ] , Percentage [ REAL ] | -- -- What are the official languages of the country where you can find the city with the least population?
SELECT T2.Language FROM City AS T1 INNER JOIN CountryLanguage AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.IsOfficial = 'T' ORDER BY T1.Population ASC LIMIT 1;
-- Database schema | City : ID [ INTEGER ] primary_key , Name [ TEXT ] , CountryCode [ TEXT ] City.CountryCode = Country.Code , District [ TEXT ] , Population [ INTEGER ] | Country : Code [ TEXT ] primary_key , Name [ TEXT ] , Continent [ TEXT ] , Region [ TEXT ] , SurfaceArea [ REAL ] , IndepYear [ INTEGER ] , Population [ INTEGER ] , LifeExpectancy [ REAL ] , GNP [ REAL ] , GNPOld [ REAL ] , LocalName [ TEXT ] , GovernmentForm [ TEXT ] , HeadOfState [ TEXT ] , Capital [ INTEGER ] , Code2 [ TEXT ] | CountryLanguage : CountryCode [ TEXT ] CountryLanguage.CountryCode = Country.Code , Language [ TEXT ] , IsOfficial [ TEXT ] , Percentage [ REAL ] | -- -- What is the surface area and GNP of the country where Namibe district belongs?
SELECT T2.SurfaceArea, T2.GNP FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T1.District = 'Namibe';
-- Database schema | City : ID [ INTEGER ] primary_key , Name [ TEXT ] , CountryCode [ TEXT ] City.CountryCode = Country.Code , District [ TEXT ] , Population [ INTEGER ] | Country : Code [ TEXT ] primary_key , Name [ TEXT ] , Continent [ TEXT ] , Region [ TEXT ] , SurfaceArea [ REAL ] , IndepYear [ INTEGER ] , Population [ INTEGER ] , LifeExpectancy [ REAL ] , GNP [ REAL ] , GNPOld [ REAL ] , LocalName [ TEXT ] , GovernmentForm [ TEXT ] , HeadOfState [ TEXT ] , Capital [ INTEGER ] , Code2 [ TEXT ] | CountryLanguage : CountryCode [ TEXT ] CountryLanguage.CountryCode = Country.Code , Language [ TEXT ] , IsOfficial [ TEXT ] , Percentage [ REAL ] | -- -- List the names of the country that officially uses English as their language.
SELECT T2.Name FROM CountryLanguage AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T1.IsOfficial = 'T' AND T1.Language = 'English';
-- Database schema | City : ID [ INTEGER ] primary_key , Name [ TEXT ] , CountryCode [ TEXT ] City.CountryCode = Country.Code , District [ TEXT ] , Population [ INTEGER ] | Country : Code [ TEXT ] primary_key , Name [ TEXT ] , Continent [ TEXT ] , Region [ TEXT ] , SurfaceArea [ REAL ] , IndepYear [ INTEGER ] , Population [ INTEGER ] , LifeExpectancy [ REAL ] , GNP [ REAL ] , GNPOld [ REAL ] , LocalName [ TEXT ] , GovernmentForm [ TEXT ] , HeadOfState [ TEXT ] , Capital [ INTEGER ] , Code2 [ TEXT ] | CountryLanguage : CountryCode [ TEXT ] CountryLanguage.CountryCode = Country.Code , Language [ TEXT ] , IsOfficial [ TEXT ] , Percentage [ REAL ] | -- -- What are the districts that belong to the country with the lowest surface area?
SELECT T1.District FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code ORDER BY T2.SurfaceArea ASC LIMIT 1;
-- Database schema | City : ID [ INTEGER ] primary_key , Name [ TEXT ] , CountryCode [ TEXT ] City.CountryCode = Country.Code , District [ TEXT ] , Population [ INTEGER ] | Country : Code [ TEXT ] primary_key , Name [ TEXT ] , Continent [ TEXT ] , Region [ TEXT ] , SurfaceArea [ REAL ] , IndepYear [ INTEGER ] , Population [ INTEGER ] , LifeExpectancy [ REAL ] , GNP [ REAL ] , GNPOld [ REAL ] , LocalName [ TEXT ] , GovernmentForm [ TEXT ] , HeadOfState [ TEXT ] , Capital [ INTEGER ] , Code2 [ TEXT ] | CountryLanguage : CountryCode [ TEXT ] CountryLanguage.CountryCode = Country.Code , Language [ TEXT ] , IsOfficial [ TEXT ] , Percentage [ REAL ] | -- -- List down the country names of countries that have a GNP lower than 1000 and have Dutch as their language.
SELECT T2.Name FROM CountryLanguage AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T2.GNP < 1000 AND T1.IsOfficial = 'T' AND T1.Language = 'Dutch';
-- Database schema | City : ID [ INTEGER ] primary_key , Name [ TEXT ] , CountryCode [ TEXT ] City.CountryCode = Country.Code , District [ TEXT ] , Population [ INTEGER ] | Country : Code [ TEXT ] primary_key , Name [ TEXT ] , Continent [ TEXT ] , Region [ TEXT ] , SurfaceArea [ REAL ] , IndepYear [ INTEGER ] , Population [ INTEGER ] , LifeExpectancy [ REAL ] , GNP [ REAL ] , GNPOld [ REAL ] , LocalName [ TEXT ] , GovernmentForm [ TEXT ] , HeadOfState [ TEXT ] , Capital [ INTEGER ] , Code2 [ TEXT ] | CountryLanguage : CountryCode [ TEXT ] CountryLanguage.CountryCode = Country.Code , Language [ TEXT ] , IsOfficial [ TEXT ] , Percentage [ REAL ] | -- -- What is the GNP of the country where district "Entre Rios" belongs?
SELECT T2.GNP FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T1.District = 'Entre Rios' LIMIT 1;
-- Database schema | City : ID [ INTEGER ] primary_key , Name [ TEXT ] , CountryCode [ TEXT ] City.CountryCode = Country.Code , District [ TEXT ] , Population [ INTEGER ] | Country : Code [ TEXT ] primary_key , Name [ TEXT ] , Continent [ TEXT ] , Region [ TEXT ] , SurfaceArea [ REAL ] , IndepYear [ INTEGER ] , Population [ INTEGER ] , LifeExpectancy [ REAL ] , GNP [ REAL ] , GNPOld [ REAL ] , LocalName [ TEXT ] , GovernmentForm [ TEXT ] , HeadOfState [ TEXT ] , Capital [ INTEGER ] , Code2 [ TEXT ] | CountryLanguage : CountryCode [ TEXT ] CountryLanguage.CountryCode = Country.Code , Language [ TEXT ] , IsOfficial [ TEXT ] , Percentage [ REAL ] | -- -- What is the local name of the country where "The Valley" city belongs?
SELECT T2.LocalName FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T1.Name = 'The Valley';
-- Database schema | City : ID [ INTEGER ] primary_key , Name [ TEXT ] , CountryCode [ TEXT ] City.CountryCode = Country.Code , District [ TEXT ] , Population [ INTEGER ] | Country : Code [ TEXT ] primary_key , Name [ TEXT ] , Continent [ TEXT ] , Region [ TEXT ] , SurfaceArea [ REAL ] , IndepYear [ INTEGER ] , Population [ INTEGER ] , LifeExpectancy [ REAL ] , GNP [ REAL ] , GNPOld [ REAL ] , LocalName [ TEXT ] , GovernmentForm [ TEXT ] , HeadOfState [ TEXT ] , Capital [ INTEGER ] , Code2 [ TEXT ] | CountryLanguage : CountryCode [ TEXT ] CountryLanguage.CountryCode = Country.Code , Language [ TEXT ] , IsOfficial [ TEXT ] , Percentage [ REAL ] | -- -- List down the cities belongs to the country that has surface area greater than 7000000.
SELECT T2.Name, T1.Name FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T2.SurfaceArea > 7000000;
-- Database schema | City : ID [ INTEGER ] primary_key , Name [ TEXT ] , CountryCode [ TEXT ] City.CountryCode = Country.Code , District [ TEXT ] , Population [ INTEGER ] | Country : Code [ TEXT ] primary_key , Name [ TEXT ] , Continent [ TEXT ] , Region [ TEXT ] , SurfaceArea [ REAL ] , IndepYear [ INTEGER ] , Population [ INTEGER ] , LifeExpectancy [ REAL ] , GNP [ REAL ] , GNPOld [ REAL ] , LocalName [ TEXT ] , GovernmentForm [ TEXT ] , HeadOfState [ TEXT ] , Capital [ INTEGER ] , Code2 [ TEXT ] | CountryLanguage : CountryCode [ TEXT ] CountryLanguage.CountryCode = Country.Code , Language [ TEXT ] , IsOfficial [ TEXT ] , Percentage [ REAL ] | -- -- What is the life expectancy of the countries that uses Japanese as their language?
SELECT AVG(T2.LifeExpectancy) FROM CountryLanguage AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T1.Language = 'Japanese';
-- Database schema | City : ID [ INTEGER ] primary_key , Name [ TEXT ] , CountryCode [ TEXT ] City.CountryCode = Country.Code , District [ TEXT ] , Population [ INTEGER ] | Country : Code [ TEXT ] primary_key , Name [ TEXT ] , Continent [ TEXT ] , Region [ TEXT ] , SurfaceArea [ REAL ] , IndepYear [ INTEGER ] , Population [ INTEGER ] , LifeExpectancy [ REAL ] , GNP [ REAL ] , GNPOld [ REAL ] , LocalName [ TEXT ] , GovernmentForm [ TEXT ] , HeadOfState [ TEXT ] , Capital [ INTEGER ] , Code2 [ TEXT ] | CountryLanguage : CountryCode [ TEXT ] CountryLanguage.CountryCode = Country.Code , Language [ TEXT ] , IsOfficial [ TEXT ] , Percentage [ REAL ] | -- -- How many cities are there in the country with the surface area of 652090?
SELECT T2.Name, COUNT(T1.Name) FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T2.SurfaceArea = 652090 GROUP BY T2.Name;
-- Database schema | City : ID [ INTEGER ] primary_key , Name [ TEXT ] , CountryCode [ TEXT ] City.CountryCode = Country.Code , District [ TEXT ] , Population [ INTEGER ] | Country : Code [ TEXT ] primary_key , Name [ TEXT ] , Continent [ TEXT ] , Region [ TEXT ] , SurfaceArea [ REAL ] , IndepYear [ INTEGER ] , Population [ INTEGER ] , LifeExpectancy [ REAL ] , GNP [ REAL ] , GNPOld [ REAL ] , LocalName [ TEXT ] , GovernmentForm [ TEXT ] , HeadOfState [ TEXT ] , Capital [ INTEGER ] , Code2 [ TEXT ] | CountryLanguage : CountryCode [ TEXT ] CountryLanguage.CountryCode = Country.Code , Language [ TEXT ] , IsOfficial [ TEXT ] , Percentage [ REAL ] | -- -- List down the languages of countries with an independence year between 1980 to 1995.
SELECT T2.Name, T1.Language FROM CountryLanguage AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T2.IndepYear BETWEEN 1980 AND 1995;
-- Database schema | City : ID [ INTEGER ] primary_key , Name [ TEXT ] , CountryCode [ TEXT ] City.CountryCode = Country.Code , District [ TEXT ] , Population [ INTEGER ] | Country : Code [ TEXT ] primary_key , Name [ TEXT ] , Continent [ TEXT ] , Region [ TEXT ] , SurfaceArea [ REAL ] , IndepYear [ INTEGER ] , Population [ INTEGER ] , LifeExpectancy [ REAL ] , GNP [ REAL ] , GNPOld [ REAL ] , LocalName [ TEXT ] , GovernmentForm [ TEXT ] , HeadOfState [ TEXT ] , Capital [ INTEGER ] , Code2 [ TEXT ] | CountryLanguage : CountryCode [ TEXT ] CountryLanguage.CountryCode = Country.Code , Language [ TEXT ] , IsOfficial [ TEXT ] , Percentage [ REAL ] | -- -- What is the life expectancy of the people living in Calama city?
SELECT T2.LifeExpectancy FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T1.Name = 'Calama';
-- Database schema | City : ID [ INTEGER ] primary_key , Name [ TEXT ] , CountryCode [ TEXT ] City.CountryCode = Country.Code , District [ TEXT ] , Population [ INTEGER ] | Country : Code [ TEXT ] primary_key , Name [ TEXT ] , Continent [ TEXT ] , Region [ TEXT ] , SurfaceArea [ REAL ] , IndepYear [ INTEGER ] , Population [ INTEGER ] , LifeExpectancy [ REAL ] , GNP [ REAL ] , GNPOld [ REAL ] , LocalName [ TEXT ] , GovernmentForm [ TEXT ] , HeadOfState [ TEXT ] , Capital [ INTEGER ] , Code2 [ TEXT ] | CountryLanguage : CountryCode [ TEXT ] CountryLanguage.CountryCode = Country.Code , Language [ TEXT ] , IsOfficial [ TEXT ] , Percentage [ REAL ] | -- -- Provide the language used in the country ruled by Pierre Buyoya.
SELECT T1.Language FROM CountryLanguage AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T2.HeadOfState = 'Pierre Buyoya';
-- Database schema | City : ID [ INTEGER ] primary_key , Name [ TEXT ] , CountryCode [ TEXT ] City.CountryCode = Country.Code , District [ TEXT ] , Population [ INTEGER ] | Country : Code [ TEXT ] primary_key , Name [ TEXT ] , Continent [ TEXT ] , Region [ TEXT ] , SurfaceArea [ REAL ] , IndepYear [ INTEGER ] , Population [ INTEGER ] , LifeExpectancy [ REAL ] , GNP [ REAL ] , GNPOld [ REAL ] , LocalName [ TEXT ] , GovernmentForm [ TEXT ] , HeadOfState [ TEXT ] , Capital [ INTEGER ] , Code2 [ TEXT ] | CountryLanguage : CountryCode [ TEXT ] CountryLanguage.CountryCode = Country.Code , Language [ TEXT ] , IsOfficial [ TEXT ] , Percentage [ REAL ] | -- -- In countries with constitutional monarchy, what is the percentage of cities located in the district of England?
SELECT CAST(SUM(CASE WHEN T1.District = 'England' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T2.GovernmentForm = 'Constitutional Monarchy';
-- Database schema | City : ID [ INTEGER ] primary_key , Name [ TEXT ] , CountryCode [ TEXT ] City.CountryCode = Country.Code , District [ TEXT ] , Population [ INTEGER ] | Country : Code [ TEXT ] primary_key , Name [ TEXT ] , Continent [ TEXT ] , Region [ TEXT ] , SurfaceArea [ REAL ] , IndepYear [ INTEGER ] , Population [ INTEGER ] , LifeExpectancy [ REAL ] , GNP [ REAL ] , GNPOld [ REAL ] , LocalName [ TEXT ] , GovernmentForm [ TEXT ] , HeadOfState [ TEXT ] , Capital [ INTEGER ] , Code2 [ TEXT ] | CountryLanguage : CountryCode [ TEXT ] CountryLanguage.CountryCode = Country.Code , Language [ TEXT ] , IsOfficial [ TEXT ] , Percentage [ REAL ] | -- -- Among the cities with a population between 140000 and 150000, list the country that has life expectancy greater than 80% life expectancy of all countries.
SELECT T2.Name FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T1.Population BETWEEN 140000 AND 150000 GROUP BY T2.Name, LifeExpectancy HAVING LifeExpectancy < ( SELECT AVG(LifeExpectancy) FROM Country ) * 0.8;
-- Database schema | City : ID [ INTEGER ] primary_key , Name [ TEXT ] , CountryCode [ TEXT ] City.CountryCode = Country.Code , District [ TEXT ] , Population [ INTEGER ] | Country : Code [ TEXT ] primary_key , Name [ TEXT ] , Continent [ TEXT ] , Region [ TEXT ] , SurfaceArea [ REAL ] , IndepYear [ INTEGER ] , Population [ INTEGER ] , LifeExpectancy [ REAL ] , GNP [ REAL ] , GNPOld [ REAL ] , LocalName [ TEXT ] , GovernmentForm [ TEXT ] , HeadOfState [ TEXT ] , Capital [ INTEGER ] , Code2 [ TEXT ] | CountryLanguage : CountryCode [ TEXT ] CountryLanguage.CountryCode = Country.Code , Language [ TEXT ] , IsOfficial [ TEXT ] , Percentage [ REAL ] | -- -- Among the countries that use Italian as their language, what is the percentage of republic countries?
SELECT CAST(SUM(CASE WHEN T2.GovernmentForm = 'Republic' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM CountryLanguage AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T1.Language = 'Italian';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- How many podcasts are there in the category which has the most podcasts?
SELECT COUNT(podcast_id) FROM categories WHERE category = ( SELECT category FROM categories GROUP BY category ORDER BY COUNT(podcast_id) DESC LIMIT 1 );
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- What is the percentage of the podcast that are categorized in four or more categories?
SELECT COUNT(T1.podcast_id) FROM ( SELECT podcast_id FROM categories GROUP BY podcast_id HAVING COUNT(category) >= 4 ) AS T1;
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Provide the itunes id and url for podcast titled 'Brown Suga Diaries'.
SELECT itunes_id, itunes_url FROM podcasts WHERE title = 'Brown Suga Diaries';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- List all podcast with its itunes url for all title containing the word 'Dream'.
SELECT itunes_url FROM podcasts WHERE title LIKE '%Dream%' GROUP BY itunes_url;
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Name all the categories for podcast titled 'I Heart My Life Show'.
SELECT T1.category FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.title = 'I Heart My Life Show';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- List all the podcast title and its itunes url under the 'society-culture' category.
SELECT T2.title, T2.itunes_url FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'society-culture';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- How many people rated 5 for the podcast which title contains the word 'spoiler' under the 'art' category '?
SELECT COUNT(T3.podcast_id) FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id INNER JOIN reviews AS T3 ON T3.podcast_id = T2.podcast_id WHERE T2.title LIKE '%spoilers%' AND T1.category = 'arts' AND T3.rating = 5;
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- List the authors who created review for podcast titled 'Pop Rocket' in 2016 with rating less than 5.
SELECT T2.author_id FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'Pop Rocket' AND T2.created_at LIKE '2016-%' AND T2.rating < 5;
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Name all the podcast title and its category with average rating of more than 3.0.
SELECT T2.title, T1.category FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id INNER JOIN reviews AS T3 ON T3.podcast_id = T2.podcast_id GROUP BY T3.podcast_id HAVING AVG(T3.rating) > 3;
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- List all content reviewed for podcast with the best rating under the 'fiction' category. State the podcast title.
SELECT DISTINCT T2.title FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id INNER JOIN reviews AS T3 ON T3.podcast_id = T2.podcast_id WHERE T3.rating = 5 AND T1.category = 'fiction';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- State the podcast title, content review and rating for all reviews with titled 'Love it!'
SELECT DISTINCT T1.title, T2.content, T2.rating FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.title = 'Love it!';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Find the author, rating and review creation date of review for podcast title 'In The Thick'.
SELECT T2.author_id, T2.rating, T2.created_at FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'In The Thick' GROUP BY T2.author_id, T2.rating, T2.created_at;
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Which podcast was reviewed the latest? State the date of creation, podcast tile and rating.
SELECT T1.podcast_id, T2.created_at, T2.title, T2.rating FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id ORDER BY T2.created_at DESC LIMIT 1;
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Name the podcast title, rating and review content created by '76A4C24B6038145'.
SELECT T2.title, T2.rating, T2.content FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.author_id = '76A4C24B6038145';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- For all reviews with the worst rating, state the podcast title as well as the review title and content.
SELECT DISTINCT T1.title, T2.title, T2.content FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.rating = 1;
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- List all reviews created in May 2019. State the title of podcast and review rating.
SELECT DISTINCT T1.title, T2.rating FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.created_at LIKE '2019-05-%';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- What is the average rating for the podcast that is most reviewed?
SELECT AVG(T2.rating) FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id GROUP BY T1.podcast_id ORDER BY COUNT(T2.content) DESC LIMIT 1;
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Which category does the podcast titled 'SciFi Tech Talk' belong to?
SELECT T1.category FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.title = 'SciFi Tech Talk';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- What is the name of the podcast in which a commentor left a comment with the title 'Long time listener, calling it quits?' Include the URL of the podcast as well.
SELECT podcast_id, itunes_url FROM podcasts WHERE podcast_id = ( SELECT podcast_id FROM reviews WHERE title = 'Long time listener, calling it quits' );
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- List all the names of podcasts under the 'true crime' category.
SELECT T2.title FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'true-crime';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Write all the review content belonging to StormCast: The Official Warhammer Age of Sigmar Podcast.
SELECT content FROM reviews WHERE podcast_id = ( SELECT podcast_id FROM podcasts WHERE title = 'StormCast: The Official Warhammer Age of Sigmar Podcast' );
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Write all the review titles and the contents belonging to the podcast 'More Stupider: A 90-Day Fiance Podcast' with a review rating of 1.
SELECT title, content FROM reviews WHERE podcast_id = ( SELECT podcast_id FROM podcasts WHERE title = 'More Stupider: A 90-Day Fiance Podcast' ) AND rating = 1;
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- How many reviews does 'LifeAfter/The Message' have which were rated below 3?
SELECT COUNT(T2.rating) FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'LifeAfter/The Message' AND T2.rating <= 3;
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- The 'More Stupider: A 90-Day Fiance Podcast' belongs to which category and what is the average rating of the podcast?
SELECT AVG(T3.rating) FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id INNER JOIN reviews AS T3 ON T3.podcast_id = T2.podcast_id WHERE T2.title = 'More Stupider: A 90-Day Fiance Podcast';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Of the arts-books and arts-design categories, which one has more podcasts and what is the numerical difference between them?
SELECT ( SELECT category FROM categories WHERE category = 'arts-books' OR category = 'arts-design' GROUP BY category ORDER BY COUNT(podcast_id) DESC LIMIT 1 ) "has more podcasts" , ( SELECT SUM(CASE WHEN category = 'arts-books' THEN 1 ELSE 0 END) - SUM(CASE WHEN category = 'arts-design' THEN 1 ELSE 0 END) FROM categories ) "differenct BETWEEN arts-books and arts-design";
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- How many total reviews runned at in June 2022 were added to the podcasts?
SELECT SUM(reviews_added) FROM runs WHERE run_at LIKE '2022-06-%';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- How many podcast reviews with a rating of 3 were created during the first quarter of 2015?
SELECT COUNT(podcast_id) FROM reviews WHERE rating = 3 AND created_at BETWEEN '2015-01-01T00:00:00-07:00' AND '2015-03-31T23:59:59-07:00';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Calculate the percentage of podcasts in the fiction-science-fiction category.
SELECT CAST(SUM(CASE WHEN category = 'fiction-science-fiction' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(podcast_id) OR '%' "percentage" FROM categories;
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- What is the average rating of all the podcasts with reviews created in 2019?
SELECT AVG(rating) FROM reviews WHERE created_at BETWEEN '2019-01-01T00:00:00-07:00' AND '2019-12-31T23:59:59-07:00';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- What is the percentage of reviews added each year of the total reviews added?
SELECT CAST((SUM(CASE WHEN run_at LIKE '2022-%' THEN reviews_added ELSE 0 END) - SUM(CASE WHEN run_at LIKE '2021-%' THEN reviews_added ELSE 0 END)) AS REAL) * 100 / SUM(reviews_added) OR '%' "percentage" FROM runs;
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Indicates the title of all podcasts in the fiction category.
SELECT T2.title FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'fiction';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- What is the rating and category of the podcast entitled Sitcomadon?
SELECT DISTINCT T3.rating, T1.category FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id INNER JOIN reviews AS T3 ON T3.podcast_id = T2.podcast_id WHERE T2.title = 'Sitcomadon';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Indicate the id of the reviewer whose itunes id is 1516665400.
SELECT T2.author_id FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.itunes_id = 1516665400;
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- What are the titles of the podcasts whose reviews were created between 2018-08-22T11:53:16-07:00 and 2018-11-20T11:14:20-07:00?
SELECT DISTINCT T1.title FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.created_at BETWEEN '2018-08-22T11:53:16-07:00' AND '2018-11-20T11:14:20-07:00';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- To which categories do the podcasts of the reviewer whose id is EFB34EAC8E9397C belong?
SELECT DISTINCT T1.category FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.author_id = 'EFB34EAC8E9397C';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Indicate the slug and the itunes url of the podcast whose review content was written Can't stop listening.
SELECT slug, itunes_url FROM podcasts WHERE podcast_id IN ( SELECT podcast_id FROM reviews WHERE content = 'Can''t stop listening' );
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- What dates were the Don't Lie To Your Life Coach podcast reviews created?
SELECT created_at FROM reviews WHERE podcast_id = ( SELECT podcast_id FROM podcasts WHERE title = 'Don''t Lie To Your Life Coach' );
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- In how many categories were podcast reviews created in the last six months of 2016? List them.
SELECT COUNT(DISTINCT T1.category) FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.created_at BETWEEN '2016-07-01T00:00:00-07:00' AND '2016-12-31T23:59:59-07:00';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Calculate the average rating of the true crime category.
SELECT AVG(T2.rating) FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'true-crime';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- List the titles of the art category.
SELECT DISTINCT T2.title FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'arts';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- What is the average rating of all the podcasts in category art?
SELECT AVG(T2.rating) FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'arts';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Provide the names of podcasts in the art category in 2018.
SELECT DISTINCT T2.title FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'arts' AND T2.created_at LIKE '2018-%';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Write the names of the podcasts in the music category that have a rating greater than 3.
SELECT DISTINCT T2.title FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'music' AND T2.rating > 3;
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Which titles have the content "love" but the category is art produced between 2018 and 2019.
SELECT DISTINCT T2.title FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE (T2.created_at LIKE '2018-%' AND T1.category = 'arts' AND T2.content LIKE '%love%') OR (T2.created_at LIKE '2019-%' AND T1.category = 'arts' AND T2.content LIKE '%love%');
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- What is the category and itune url of the title "Scaling Global"?
SELECT T1.category, T2.itunes_url FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.title = 'Scaling Global';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- What is the average rating of podcasts in comedy category?
SELECT AVG(T2.rating) FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'comedy';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- What is the least common category?
SELECT category FROM categories GROUP BY category ORDER BY COUNT(podcast_id) ASC LIMIT 1;
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- What is the longest review?
SELECT title FROM reviews ORDER BY LENGTH(content) DESC LIMIT 1;
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- What is the review with the title "Hosts bring the show down" for?
SELECT title FROM podcasts WHERE podcast_id = ( SELECT podcast_id FROM reviews WHERE title = 'Hosts bring the show down' );
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Which "music" podcast has the longest title?
SELECT T2.title FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'music' ORDER BY LENGTH(T2.title) DESC LIMIT 1;
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- List all the cagetories for all the podcasts with "jessica" in the title.
SELECT category FROM categories WHERE podcast_id IN ( SELECT podcast_id FROM podcasts WHERE title LIKE '%jessica%' );
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- What is the category for the "Moist Boys" podcast?
SELECT category FROM categories WHERE podcast_id IN ( SELECT podcast_id FROM podcasts WHERE title = 'Moist Boys' );
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- List all of the two-star reviews and their categories.
SELECT T1.category FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.rating = 2;
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- List all the podcasts reviewed by a reviewer who has a review titled "Inspired & On Fire!".
SELECT T1.title FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.title = 'Inspired & On Fire!';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- What are the titles and categories of all the podcasts with a review that has "Absolutely fantastic" in it?
SELECT T2.title, T1.category FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id INNER JOIN reviews AS T3 ON T3.podcast_id = T2.podcast_id WHERE T3.content LIKE '%Absolutely fantastic%';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Which category has the most reviews?
SELECT T1.category FROM categories AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id GROUP BY T1.category ORDER BY COUNT(T2.podcast_id) DESC LIMIT 1;
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- List the urls for all the "fiction-science-fiction" podcasts.
SELECT itunes_url FROM podcasts WHERE podcast_id IN ( SELECT podcast_id FROM categories WHERE category = 'fiction-science-fiction' );
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- What is the content of the earliest review for the "Stuff You Should Know" podcast?
SELECT T2.content FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'Stuff You Should Know' ORDER BY T2.created_at ASC LIMIT 1;
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- How many reviews does "Planet Money" have?
SELECT COUNT(T2.podcast_id) FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'Planet Money';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- What is the average rating for the "crime-junkie" podcast?
SELECT AVG(T2.rating) FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'Crime Junkie';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- What percentage of podcasts are "technology" podcasts? List all of them.
SELECT CAST(SUM(CASE WHEN T1.category = 'technology' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.title) OR '%' "percentage" FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id;
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- What is the content of the review under the title "really interesting!" and is created on 2018-04-24 at 12:05:16?
SELECT content FROM reviews WHERE title = 'really interesting!' AND created_at = '2018-04-24T12:05:16-07:00';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Which category is the podcast "Scaling Global" under?
SELECT category FROM categories WHERE podcast_id IN ( SELECT podcast_id FROM podcasts WHERE title = 'Scaling Global' );
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Please list the titles of all the podcasts under the category "arts-performing-arts".
SELECT DISTINCT T2.title FROM categories AS T1 INNER JOIN podcasts AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.category = 'arts-performing-arts';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- How many reviews are created for the podcast "Scaling Global" under?
SELECT COUNT(T2.content) FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'Scaling Global';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Among the reviews for the podcast "Please Excuse My Dead Aunt Sally", how many of them are made in the year 2019?
SELECT COUNT(T2.created_at) FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'Please Excuse My Dead Aunt Sally' AND T2.created_at LIKE '2019-%';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- Please list the titles of the podcasts for which the author whose ID is F7E5A318989779D has written a review.
SELECT T2.title FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.author_id = 'F7E5A318989779D';
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- How many ratings of 5 have been given to the podcast "Please Excuse My Dead Aunt Sally"?
SELECT COUNT(T2.rating) FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'Please Excuse My Dead Aunt Sally' AND T2.rating = 5;
-- Database schema | runs : run_at [ TEXT ] , max_rowid [ INTEGER ] , reviews_added [ INTEGER ] | podcasts : podcast_id [ TEXT ] primary_key , itunes_id [ INTEGER ] , slug [ TEXT ] , itunes_url [ TEXT ] , title [ TEXT ] | reviews : podcast_id [ TEXT ] , title [ TEXT ] , content [ TEXT ] , rating [ INTEGER ] , author_id [ TEXT ] , created_at [ TEXT ] | categories : podcast_id [ TEXT ] , category [ TEXT ] | -- -- What is the average rating of the podcast "Please Excuse My Dead Aunt Sally"?
SELECT AVG(T2.rating) FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'Please Excuse My Dead Aunt Sally';
-- Database schema | country : id [ INTEGER ] primary_key , country_name [ TEXT ] | ranking_system : id [ INTEGER ] primary_key , system_name [ TEXT ] | ranking_criteria : id [ INTEGER ] primary_key , ranking_system_id [ INTEGER ] ranking_criteria.ranking_system_id = ranking_system.id , criteria_name [ TEXT ] | university : id [ INTEGER ] primary_key , country_id [ INTEGER ] university.country_id = country.id , university_name [ TEXT ] | university_ranking_year : university_id [ INTEGER ] university_ranking_year.university_id = university.id , ranking_criteria_id [ INTEGER ] university_ranking_year.ranking_criteria_id = ranking_criteria.id , year [ INTEGER ] , score [ INTEGER ] | university_year : university_id [ INTEGER ] university_year.university_id = university.id , year [ INTEGER ] , num_students [ INTEGER ] , student_staff_ratio [ REAL ] , pct_international_students [ INTEGER ] , pct_female_students [ INTEGER ] | -- -- How many universities have at least 80,000 students in the year 2011?
SELECT COUNT(*) FROM university_year WHERE num_students > 80000 AND year = 2011;
-- Database schema | country : id [ INTEGER ] primary_key , country_name [ TEXT ] | ranking_system : id [ INTEGER ] primary_key , system_name [ TEXT ] | ranking_criteria : id [ INTEGER ] primary_key , ranking_system_id [ INTEGER ] ranking_criteria.ranking_system_id = ranking_system.id , criteria_name [ TEXT ] | university : id [ INTEGER ] primary_key , country_id [ INTEGER ] university.country_id = country.id , university_name [ TEXT ] | university_ranking_year : university_id [ INTEGER ] university_ranking_year.university_id = university.id , ranking_criteria_id [ INTEGER ] university_ranking_year.ranking_criteria_id = ranking_criteria.id , year [ INTEGER ] , score [ INTEGER ] | university_year : university_id [ INTEGER ] university_year.university_id = university.id , year [ INTEGER ] , num_students [ INTEGER ] , student_staff_ratio [ REAL ] , pct_international_students [ INTEGER ] , pct_female_students [ INTEGER ] | -- -- What is the ranking system ID of the award criteria?
SELECT ranking_system_id FROM ranking_criteria WHERE criteria_name = 'Award';
-- Database schema | country : id [ INTEGER ] primary_key , country_name [ TEXT ] | ranking_system : id [ INTEGER ] primary_key , system_name [ TEXT ] | ranking_criteria : id [ INTEGER ] primary_key , ranking_system_id [ INTEGER ] ranking_criteria.ranking_system_id = ranking_system.id , criteria_name [ TEXT ] | university : id [ INTEGER ] primary_key , country_id [ INTEGER ] university.country_id = country.id , university_name [ TEXT ] | university_ranking_year : university_id [ INTEGER ] university_ranking_year.university_id = university.id , ranking_criteria_id [ INTEGER ] university_ranking_year.ranking_criteria_id = ranking_criteria.id , year [ INTEGER ] , score [ INTEGER ] | university_year : university_id [ INTEGER ] university_year.university_id = university.id , year [ INTEGER ] , num_students [ INTEGER ] , student_staff_ratio [ REAL ] , pct_international_students [ INTEGER ] , pct_female_students [ INTEGER ] | -- -- How many state universities are there?
SELECT COUNT(*) FROM university WHERE university_name LIKE '%State%';
-- Database schema | country : id [ INTEGER ] primary_key , country_name [ TEXT ] | ranking_system : id [ INTEGER ] primary_key , system_name [ TEXT ] | ranking_criteria : id [ INTEGER ] primary_key , ranking_system_id [ INTEGER ] ranking_criteria.ranking_system_id = ranking_system.id , criteria_name [ TEXT ] | university : id [ INTEGER ] primary_key , country_id [ INTEGER ] university.country_id = country.id , university_name [ TEXT ] | university_ranking_year : university_id [ INTEGER ] university_ranking_year.university_id = university.id , ranking_criteria_id [ INTEGER ] university_ranking_year.ranking_criteria_id = ranking_criteria.id , year [ INTEGER ] , score [ INTEGER ] | university_year : university_id [ INTEGER ] university_year.university_id = university.id , year [ INTEGER ] , num_students [ INTEGER ] , student_staff_ratio [ REAL ] , pct_international_students [ INTEGER ] , pct_female_students [ INTEGER ] | -- -- What is the student staff ratio of the university with the highest student staff ratio of all time?
SELECT MAX(student_staff_ratio) FROM university_year WHERE student_staff_ratio = ( SELECT MAX(student_staff_ratio) FROM university_year );
-- Database schema | country : id [ INTEGER ] primary_key , country_name [ TEXT ] | ranking_system : id [ INTEGER ] primary_key , system_name [ TEXT ] | ranking_criteria : id [ INTEGER ] primary_key , ranking_system_id [ INTEGER ] ranking_criteria.ranking_system_id = ranking_system.id , criteria_name [ TEXT ] | university : id [ INTEGER ] primary_key , country_id [ INTEGER ] university.country_id = country.id , university_name [ TEXT ] | university_ranking_year : university_id [ INTEGER ] university_ranking_year.university_id = university.id , ranking_criteria_id [ INTEGER ] university_ranking_year.ranking_criteria_id = ranking_criteria.id , year [ INTEGER ] , score [ INTEGER ] | university_year : university_id [ INTEGER ] university_year.university_id = university.id , year [ INTEGER ] , num_students [ INTEGER ] , student_staff_ratio [ REAL ] , pct_international_students [ INTEGER ] , pct_female_students [ INTEGER ] | -- -- How many criteria belong to ranking system ID 3?
SELECT COUNT(id) FROM ranking_criteria WHERE ranking_system_id = 3;
-- Database schema | country : id [ INTEGER ] primary_key , country_name [ TEXT ] | ranking_system : id [ INTEGER ] primary_key , system_name [ TEXT ] | ranking_criteria : id [ INTEGER ] primary_key , ranking_system_id [ INTEGER ] ranking_criteria.ranking_system_id = ranking_system.id , criteria_name [ TEXT ] | university : id [ INTEGER ] primary_key , country_id [ INTEGER ] university.country_id = country.id , university_name [ TEXT ] | university_ranking_year : university_id [ INTEGER ] university_ranking_year.university_id = university.id , ranking_criteria_id [ INTEGER ] university_ranking_year.ranking_criteria_id = ranking_criteria.id , year [ INTEGER ] , score [ INTEGER ] | university_year : university_id [ INTEGER ] university_year.university_id = university.id , year [ INTEGER ] , num_students [ INTEGER ] , student_staff_ratio [ REAL ] , pct_international_students [ INTEGER ] , pct_female_students [ INTEGER ] | -- -- What is the ID of the university that has only 1% of international students between 2011 to 2015?
SELECT university_id FROM university_year WHERE pct_international_students = 1 AND year BETWEEN 2011 AND 2015;
-- Database schema | country : id [ INTEGER ] primary_key , country_name [ TEXT ] | ranking_system : id [ INTEGER ] primary_key , system_name [ TEXT ] | ranking_criteria : id [ INTEGER ] primary_key , ranking_system_id [ INTEGER ] ranking_criteria.ranking_system_id = ranking_system.id , criteria_name [ TEXT ] | university : id [ INTEGER ] primary_key , country_id [ INTEGER ] university.country_id = country.id , university_name [ TEXT ] | university_ranking_year : university_id [ INTEGER ] university_ranking_year.university_id = university.id , ranking_criteria_id [ INTEGER ] university_ranking_year.ranking_criteria_id = ranking_criteria.id , year [ INTEGER ] , score [ INTEGER ] | university_year : university_id [ INTEGER ] university_year.university_id = university.id , year [ INTEGER ] , num_students [ INTEGER ] , student_staff_ratio [ REAL ] , pct_international_students [ INTEGER ] , pct_female_students [ INTEGER ] | -- -- Give the name of the country that has the most universities.
SELECT T2.country_name FROM university AS T1 INNER JOIN country AS T2 ON T1.country_id = T2.id GROUP BY T2.country_name ORDER BY COUNT(T1.university_name) DESC LIMIT 1;
-- Database schema | country : id [ INTEGER ] primary_key , country_name [ TEXT ] | ranking_system : id [ INTEGER ] primary_key , system_name [ TEXT ] | ranking_criteria : id [ INTEGER ] primary_key , ranking_system_id [ INTEGER ] ranking_criteria.ranking_system_id = ranking_system.id , criteria_name [ TEXT ] | university : id [ INTEGER ] primary_key , country_id [ INTEGER ] university.country_id = country.id , university_name [ TEXT ] | university_ranking_year : university_id [ INTEGER ] university_ranking_year.university_id = university.id , ranking_criteria_id [ INTEGER ] university_ranking_year.ranking_criteria_id = ranking_criteria.id , year [ INTEGER ] , score [ INTEGER ] | university_year : university_id [ INTEGER ] university_year.university_id = university.id , year [ INTEGER ] , num_students [ INTEGER ] , student_staff_ratio [ REAL ] , pct_international_students [ INTEGER ] , pct_female_students [ INTEGER ] | -- -- What is the name of the university that had the highest number of international students for 6 consecutive years?
SELECT T2.university_name FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id ORDER BY T1.pct_international_students DESC LIMIT 1;
-- Database schema | country : id [ INTEGER ] primary_key , country_name [ TEXT ] | ranking_system : id [ INTEGER ] primary_key , system_name [ TEXT ] | ranking_criteria : id [ INTEGER ] primary_key , ranking_system_id [ INTEGER ] ranking_criteria.ranking_system_id = ranking_system.id , criteria_name [ TEXT ] | university : id [ INTEGER ] primary_key , country_id [ INTEGER ] university.country_id = country.id , university_name [ TEXT ] | university_ranking_year : university_id [ INTEGER ] university_ranking_year.university_id = university.id , ranking_criteria_id [ INTEGER ] university_ranking_year.ranking_criteria_id = ranking_criteria.id , year [ INTEGER ] , score [ INTEGER ] | university_year : university_id [ INTEGER ] university_year.university_id = university.id , year [ INTEGER ] , num_students [ INTEGER ] , student_staff_ratio [ REAL ] , pct_international_students [ INTEGER ] , pct_female_students [ INTEGER ] | -- -- In 2014, what is the name of the university which was considered a leader in the publications rank?
SELECT T3.university_name FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id INNER JOIN university AS T3 ON T3.id = T2.university_id WHERE T1.criteria_name = 'Publications Rank' AND T2.year = 2014 AND T1.id = 17 ORDER BY T2.score DESC LIMIT 1;
-- Database schema | country : id [ INTEGER ] primary_key , country_name [ TEXT ] | ranking_system : id [ INTEGER ] primary_key , system_name [ TEXT ] | ranking_criteria : id [ INTEGER ] primary_key , ranking_system_id [ INTEGER ] ranking_criteria.ranking_system_id = ranking_system.id , criteria_name [ TEXT ] | university : id [ INTEGER ] primary_key , country_id [ INTEGER ] university.country_id = country.id , university_name [ TEXT ] | university_ranking_year : university_id [ INTEGER ] university_ranking_year.university_id = university.id , ranking_criteria_id [ INTEGER ] university_ranking_year.ranking_criteria_id = ranking_criteria.id , year [ INTEGER ] , score [ INTEGER ] | university_year : university_id [ INTEGER ] university_year.university_id = university.id , year [ INTEGER ] , num_students [ INTEGER ] , student_staff_ratio [ REAL ] , pct_international_students [ INTEGER ] , pct_female_students [ INTEGER ] | -- -- What is the name of the university that has the lowest number of students of all time?
SELECT T2.university_name FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id ORDER BY T1.num_students LIMIT 1;
-- Database schema | country : id [ INTEGER ] primary_key , country_name [ TEXT ] | ranking_system : id [ INTEGER ] primary_key , system_name [ TEXT ] | ranking_criteria : id [ INTEGER ] primary_key , ranking_system_id [ INTEGER ] ranking_criteria.ranking_system_id = ranking_system.id , criteria_name [ TEXT ] | university : id [ INTEGER ] primary_key , country_id [ INTEGER ] university.country_id = country.id , university_name [ TEXT ] | university_ranking_year : university_id [ INTEGER ] university_ranking_year.university_id = university.id , ranking_criteria_id [ INTEGER ] university_ranking_year.ranking_criteria_id = ranking_criteria.id , year [ INTEGER ] , score [ INTEGER ] | university_year : university_id [ INTEGER ] university_year.university_id = university.id , year [ INTEGER ] , num_students [ INTEGER ] , student_staff_ratio [ REAL ] , pct_international_students [ INTEGER ] , pct_female_students [ INTEGER ] | -- -- How many universities are there in the United States of America?
SELECT COUNT(*) FROM university AS T1 INNER JOIN country AS T2 ON T1.country_id = T2.id WHERE T2.country_name = 'United States of America';
-- Database schema | country : id [ INTEGER ] primary_key , country_name [ TEXT ] | ranking_system : id [ INTEGER ] primary_key , system_name [ TEXT ] | ranking_criteria : id [ INTEGER ] primary_key , ranking_system_id [ INTEGER ] ranking_criteria.ranking_system_id = ranking_system.id , criteria_name [ TEXT ] | university : id [ INTEGER ] primary_key , country_id [ INTEGER ] university.country_id = country.id , university_name [ TEXT ] | university_ranking_year : university_id [ INTEGER ] university_ranking_year.university_id = university.id , ranking_criteria_id [ INTEGER ] university_ranking_year.ranking_criteria_id = ranking_criteria.id , year [ INTEGER ] , score [ INTEGER ] | university_year : university_id [ INTEGER ] university_year.university_id = university.id , year [ INTEGER ] , num_students [ INTEGER ] , student_staff_ratio [ REAL ] , pct_international_students [ INTEGER ] , pct_female_students [ INTEGER ] | -- -- In 2016, what is the name of the university in Australia with the highest score in Citations criteria?
SELECT T3.university_name FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id INNER JOIN university AS T3 ON T3.id = T2.university_id INNER JOIN country AS T4 ON T4.id = T3.country_id WHERE T1.criteria_name = 'Citations' AND T2.year = 2016 AND T1.id = 4 AND T4.country_name = 'Australia' ORDER BY T2.score DESC LIMIT 1;
-- Database schema | country : id [ INTEGER ] primary_key , country_name [ TEXT ] | ranking_system : id [ INTEGER ] primary_key , system_name [ TEXT ] | ranking_criteria : id [ INTEGER ] primary_key , ranking_system_id [ INTEGER ] ranking_criteria.ranking_system_id = ranking_system.id , criteria_name [ TEXT ] | university : id [ INTEGER ] primary_key , country_id [ INTEGER ] university.country_id = country.id , university_name [ TEXT ] | university_ranking_year : university_id [ INTEGER ] university_ranking_year.university_id = university.id , ranking_criteria_id [ INTEGER ] university_ranking_year.ranking_criteria_id = ranking_criteria.id , year [ INTEGER ] , score [ INTEGER ] | university_year : university_id [ INTEGER ] university_year.university_id = university.id , year [ INTEGER ] , num_students [ INTEGER ] , student_staff_ratio [ REAL ] , pct_international_students [ INTEGER ] , pct_female_students [ INTEGER ] | -- -- How many universities scored 0 in Awards between 2005 to 2015?
SELECT COUNT(*) FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id WHERE T1.criteria_name = 'Award' AND T2.year BETWEEN 2005 AND 2015 AND T2.score = 0;