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-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- Among the users who use SUGAR, calculate the percentage of those who are above 20 years old.
| SELECT SUM(IIF(T1.age > 20, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'SUGAR'; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- Indicate the location of all the events that occurred on April 30, 2016.
| SELECT longitude, latitude FROM events WHERE date(timestamp) = '2016-04-30'; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- How many different models does the HTC brand have?
| SELECT COUNT(device_model) FROM phone_brand_device_model2 WHERE phone_brand = 'HTC'; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- Identify all installed and activated apps by their id.
| SELECT app_id FROM app_events WHERE is_active = 1 AND is_installed = 1; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- How many apps are labeled 7?
| SELECT COUNT(app_id) FROM app_labels WHERE label_id = 7; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- Identify by their id all the devices that are used by women who are in the age range of 29 to 31 years.
| SELECT device_id FROM gender_age_train WHERE age BETWEEN 29 AND 31 AND gender = 'F'; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- Identify by their id all the apps that belong to the game-stress reliever category.
| SELECT T2.app_id FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'game-stress reliever'; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- On what date were the most events logged on devices for 40-year-old male users?
| SELECT T.timestamp FROM ( SELECT T2.timestamp, COUNT(T2.event_id) AS num FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'M' AND T1.age = 40 GROUP BY T2.timestamp ) AS T ORDER BY T.num DESC LIMIT 1; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- On which brand of phone are the most applications installed?
| SELECT T.phone_brand FROM ( SELECT T1.phone_brand, COUNT(T4.is_active) AS num FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id INNER JOIN events_relevant AS T3 ON T2.device_id = T3.device_id INNER JOIN app_events_relevant AS T4 ON T3.event_id = T4.event_id WHERE T4.is_active = 1 GROUP BY T1.phone_brand ) AS T ORDER BY T.num DESC LIMIT 1; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- How many men under the age of 23 have apps installed but are not active on their devices?
| SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id INNER JOIN app_events_relevant AS T3 ON T2.event_id = T3.event_id WHERE T1.gender = 'M' AND T3.is_active = 0 AND T1.age < 23; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- How many women have apps from the game-Finding fault category installed on their device?
| SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id INNER JOIN app_events_relevant AS T3 ON T2.event_id = T3.event_id WHERE T1.age < 23 AND T1.gender = 'F' AND T3.is_active = 0 AND T3.is_installed = 1; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- Which gender logged in the most to an event in the first 10 days of May 2016?
| SELECT T.gender FROM ( SELECT T1.gender, COUNT(T1.device_id) AS num FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE date(T2.timestamp) BETWEEN '2016-05-01' AND '2016-05-10' GROUP BY T1.gender ) AS T ORDER BY T.num DESC LIMIT 1; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- What age group is the most using SM-T2558 model phones?
| SELECT T.`group` FROM ( SELECT T1.`group`, COUNT(T1.device_id) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'SM-T2558' GROUP BY T1.`group` ) AS T ORDER BY T.num DESC LIMIT 1; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- How many people over the age of 50 do not have HTC One M8 Eye phones?
| SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age > 50 AND T2.device_model != 'One M8 Eye' AND T2.phone_brand != 'HTC'; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- Locate all events on devices of women under 30 years old.
| SELECT T1.device_id FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T1.age < 30; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- What percentage of women do not have applications installed on their mobile with respect to men?
| SELECT SUM(IIF(T1.gender = 'F', 1, 0)) / SUM(IIF(T1.gender = 'M', 1, 0)) AS per FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id INNER JOIN app_events_relevant AS T3 ON T2.event_id = T3.event_id WHERE T3.is_installed = 0; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- Calculate the average age of people who have apps installed but are not active on their devices.
| SELECT AVG(T1.age) FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id INNER JOIN app_events_relevant AS T3 ON T2.event_id = T3.event_id WHERE T3.is_installed = 1 AND T3.is_active = 0; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- Please list any three events that happened on the 1st of May 2016 that have the same latitude of 31.
| SELECT event_id FROM events WHERE timestamp LIKE '2016-05-01%' AND latitude = 31 LIMIT 3; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- Please list any three events that have the longitude and latitude of 0.
| SELECT event_id FROM events WHERE longitude = 0 AND latitude = 0 LIMIT 3; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- What is the difference between the events of device number -9222956879900150000 that can be located and those that are unable to be located?
| SELECT SUM(IIF(latitude != 0 AND longitude != 0, 1, 0)) - SUM(IIF(latitude = 0 AND longitude = 0, 1, 0)) AS diff FROM events WHERE device_id = '-922956879900150000'; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- Please list any three devices that are owned by female users.
| SELECT device_id FROM gender_age WHERE gender = 'F' LIMIT 3; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- Please list any five app categories that are related to games, along with their label ID.
| SELECT category, label_id FROM label_categories WHERE category LIKE '%game%' LIMIT 5; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- Please list any three OPPO device models.
| SELECT device_model FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO' LIMIT 3; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- What is the percentage of users who experienced event number 6 who have the app installed but do not use the app?
| SELECT SUM(IIF(is_installed = 1 AND is_active = 0, 1, 0)) / COUNT(app_id) AS perrcent FROM app_events WHERE event_id = 6; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- Which gender owned more of the Galaxy Note 2 device model?
| SELECT IIF(SUM(IIF(T1.gender = 'M', 1, 0)) - SUM(IIF(T1.gender = 'F', 1, 0)) > 0, 'M', 'F') AS gender FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2'; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- When did event number 2 happen and how many users were active?
| SELECT COUNT(T1.app_id) AS num FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id WHERE T1.event_id = 2 AND T1.is_active = 1 GROUP BY T2.timestamp; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- Which behavior category does user number 5902120154267990000 belong to?
| SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 5902120154267990000; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- How many users belong to the same behavior category as comics?
| SELECT COUNT(T2.app_id) FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'comics'; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- What is the age and gender of the person who uses the device number 29182687948017100 on event number 1?
| SELECT T1.age, T1.gender FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.device_id = 29182687948017100 AND T2.event_id = 1; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- How many male users have the log of events at the same longitude of 114?
| SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T2.longitude = 114 AND T1.gender = 'M'; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- When did event number 7 happen for user number -8022267440849930000?
| SELECT T1.timestamp FROM events_relevant AS T1 INNER JOIN app_events AS T2 ON T1.event_id = T2.event_id WHERE T2.app_id = -8022267440849930000 AND T1.event_id = 7; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- What are the behavior categories that user number -9222198347540750000 belongs to?
| SELECT T3.category FROM app_all AS T1 INNER JOIN app_labels AS T2 ON T1.app_id = T2.app_id INNER JOIN label_categories AS T3 ON T2.label_id = T3.label_id WHERE T1.app_id = -9222198347540750000; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- Please provide the age group of any LG Nexus 4 device users.
| SELECT T1.`group` FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'LG' AND T2.device_model = 'Nexus 4'; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- Please provide the gender of at least one user who owns an HTC Desire 826 device.
| SELECT T1.gender FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Desire 826' AND T2.phone_brand = 'HTC'; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- What is the percentage of users who are in the same behavior category as "Academic Information"?
| SELECT SUM(IIF(T1.category = 'Academic Information', 1.0, 0)) / COUNT(T2.app_id) AS per FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- What is the percentage of device users in the F27-28 age group who experienced an event on the 3rd of May 2016?
| SELECT SUM(IIF(T1.`group` = 'F27-28', 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE SUBSTR(T2.timestamp, 1, 10) = '2016-05-03'; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- How many OPPO devices are there?
| SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO'; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- What is the most common age group among all device users?
| SELECT T.num FROM ( SELECT `group`, COUNT(`group`) AS num FROM gender_age GROUP BY `group` ) T; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- How many events does the device "4069764298338760000" have?
| SELECT COUNT(event_id) FROM events WHERE device_id = 4069764298338760000; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- How many of the apps belong in the "Equity Fund" category?
| SELECT COUNT(T1.app_id) FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id WHERE T2.category = 'Equity Fund'; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- List all females aged 24 to 26 devices' locations.
| SELECT T2.longitude, T2.latitude FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F24-26' AND T1.gender = 'F'; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- How many male users have a Galaxy Note 3?
| SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 3' AND T1.gender = 'M'; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- List all the devices' brands and models of events on 5/7/2016 at 6:03:22 AM.
| SELECT T1.phone_brand, T1.device_model FROM phone_brand_device_model2 AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T2.timestamp = '2016-05-07 06:03:22'; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- Which brand is most common among people in their twenties?
| SELECT T.phone_brand FROM ( SELECT T2.phone_brand, COUNT(T2.phone_brand) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age BETWEEN 20 AND 30 GROUP BY T2.phone_brand ) AS T ORDER BY T.num DESC LIMIT 1; |
-- Database schema
| app_all : app_id [ INTEGER ] primary_key | app_events : event_id [ INTEGER ] app_events.event_id = events.event_id , app_id [ INTEGER ] , is_installed [ bool ] , is_active [ bool ] | app_events_relevant : event_id [ INTEGER ] app_events_relevant.event_id = events_relevant.event_id , app_id [ INTEGER ] app_events_relevant.app_id = app_all.app_id , is_installed [ bool ] , is_active [ bool ] | app_labels : app_id [ INTEGER ] app_labels.app_id = app_all.app_id , label_id [ INTEGER ] app_labels.label_id = label_categories.label_id | events : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | events_relevant : event_id [ INTEGER ] primary_key , device_id [ INTEGER ] events_relevant.device_id = gender_age.device_id , timestamp [ DATETIME ] , longitude [ REAL ] , latitude [ REAL ] | gender_age : device_id [ INTEGER ] primary_key gender_age.device_id = phone_brand_device_model2.device_id , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | gender_age_test : device_id [ INTEGER ] primary_key | gender_age_train : device_id [ INTEGER ] primary_key , gender [ TEXT ] , age [ INTEGER ] , group [ TEXT ] | label_categories : label_id [ INTEGER ] primary_key , category [ TEXT ] | phone_brand_device_model2 : device_id [ INTEGER ] , phone_brand [ TEXT ] , device_model [ TEXT ] | sample_submission : device_id [ INTEGER ] primary_key , F23- [ REAL ] , F24-26 [ REAL ] , F27-28 [ REAL ] , F29-32 [ REAL ] , F33-42 [ REAL ] , F43+ [ REAL ] , M22- [ REAL ] , M23-26 [ REAL ] , M27-28 [ REAL ] , M29-31 [ REAL ] , M32-38 [ REAL ] , M39+ [ REAL ] |
-- -- What percentage of vivo devices belong to users with no information?
| SELECT SUM(IIF(T1.gender IS NULL AND T1.age IS NULL AND T1.`group` IS NULL, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- Please list all the keywords of the episode "Refuge: Part 1".
| SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Refuge: Part 1'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- How many keywords are there for season 9, episode 23 of law_and_order?
| SELECT COUNT(T2.keyword) FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.season = 9 AND T1.episode = 23; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- What is the title of the episode with the keyword "laundering money"?
| SELECT T1.title FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T2.keyword = 'laundering money'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- Please list all the keywords for the episodes with a rating of over 8.
| SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.rating > 8; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- How many 10-star votes were given to the episode titled "Cherished"?
| SELECT T2.votes FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Cherished' AND T2.stars = 10; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- How many votes did the episode titled "Cherished" get in total?
| SELECT SUM(T2.votes) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Cherished'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- What is the title of the episode that got the most 10-star votes?
| SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T2.stars = 10 ORDER BY T2.votes DESC LIMIT 1; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- Park Dietz was credited in which role in the episode titled "Cherished"?
| SELECT T2.role FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T1.title = 'Cherished' AND T3.name = 'Park Dietz' AND T2.credited = 'true'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- How many people had filled a role in the episode titled "Cherished", but did not show up in the on-screen credits?
| SELECT COUNT(T1.episode_id) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Cherished' AND T2.credited = 'false'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- Who was credited as "technical advisor" in the episode titled "Cherished"?
| SELECT T3.name FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T1.title = 'Cherished' AND T2.credited = 'true' AND T2.role = 'technical advisor'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- For how many times was Park Dietz credited?
| SELECT COUNT(T3.person_id) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T2.credited = 'true' AND T3.name = 'Park Dietz'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- Please list the titles of all the episodes in which Park Dietz was credited.
| SELECT T1.title FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T2.credited = 'true' AND T3.name = 'Park Dietz'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- Was Anthony Azzara's role in episode tt0629204 displayed in the credits at the end of the episode?
| SELECT T1.credited FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T2.name = 'Anthony Azzara' AND T1.episode_id = 'tt0629204'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- How many keywords are there in the episode Disciple?
| SELECT COUNT(T2.keyword) FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Disciple'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- Which episode got the most 1 star votes? Give its title.
| SELECT T2.title FROM Vote AS T1 INNER JOIN Episode AS T2 ON T2.episode_id = T1.episode_id WHERE T1.stars = 1 ORDER BY T1.votes DESC LIMIT 1; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- How many nominations did Law and Order season 9, episode 20 get?
| SELECT COUNT(T2.award_id) FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE T2.series = 'Law and Order' AND T1.season = 9 AND T1.episode = 20; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- For season 9, episode 17 of the show Law and Order, how many roles have been included in the credit?
| SELECT COUNT(T2.role) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.series = 'Law and Order' AND T1.season = 9 AND T1.episode = 17 AND T2.credited = 'true'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- Describe what happened in the episode of award no.296.
| SELECT T1.summary FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE T2.award_id = 296; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- Which role did Joseph Blair play in the show?
| SELECT T1.role FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T2.name = 'Joseph Blair'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- How many awards has Rene Balcer been nominated for?
| SELECT COUNT(T2.award_id) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T1.name = 'Rene Balcer'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- For the episode with the most votes, give its air date.
| SELECT T2.air_date FROM Vote AS T1 INNER JOIN Episode AS T2 ON T2.episode_id = T1.episode_id GROUP BY T2.episode_id ORDER BY SUM(T1.votes) DESC LIMIT 1; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- Who was nominated for award no.313? Give the full name.
| SELECT T1.name FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.award_id = 313; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- How many episodes did J.K. Simmons' role appear on the show?
| SELECT COUNT(T1.role) FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T2.name = 'J.K. Simmons'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- Display the number of 9-star votes the episode Sideshow received.
| SELECT T2.votes FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T2.stars = 9 AND T1.title = 'Sideshow'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- How many times is the number of keywords in "Refuge: Part 1" episode than "Shield" episode?
| SELECT CAST(SUM(CASE WHEN T1.title = 'Refuge: Part 1' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.title = 'Shield' THEN 1 ELSE 0 END) FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- Calculate the average number of cast members that appeared in the credit from the 185th to the 193rd episode.
| SELECT CAST(COUNT(T1.episode_id) AS REAL) / (193 - 185 + 1) FROM Credit AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.category = 'Cast' AND T1.credited = 'true' AND T2.number_in_series BETWEEN 185 AND 193; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- What are the names of the person that were not credited at the end of episode tt0629391?
| SELECT T2.name FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T1.credited = 'false' AND T1.episode_id = 'tt0629391'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- How many people have won at least 3 awards?
| SELECT COUNT(T1.person_id) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.result = 'Winner' GROUP BY T1.person_id HAVING COUNT(T2.award_id) >= 3; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- Who is the script supervisor of the series in episode tt0629204?
| SELECT T2.name FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T1.episode_id = 'tt0629204' AND T1.role = 'script supervisor'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- How many awards has Julia Roberts been nominated for?
| SELECT COUNT(T2.award_id) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T1.name = 'Julia Roberts' AND T2.result = 'Nominee'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- Who is the tallest camera operator?
| SELECT T2.name FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T1.role = 'camera operator' ORDER BY T2.height_meters DESC LIMIT 1; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- How many people, who were born in Canada, won an award in 1999?
| SELECT COUNT(T1.person_id) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.year = 1999 AND T1.birth_country = 'Canada'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- How many people gave the most enjoyed episode a 10-star rating?
| SELECT COUNT(T1.episode_id) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T2.stars = 10; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- What are the keywords of the "Shield" episode?
| SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Shield'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- What is the percentage of people who gave the "True North" episode a 1-star rating?
| SELECT CAST(SUM(CASE WHEN T2.stars = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.episode_id) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'True North' AND T1.episode_id = 'tt0629477'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- What is the title of the episode with the highest number of keywords?
| SELECT T1.title FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id GROUP BY T1.episode_id ORDER BY COUNT(T2.keyword) DESC LIMIT 1; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- Among the episodes that were aired in 1998, how many won an International Monitor Awards?
| SELECT COUNT(T1.episode_id) FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE strftime('%Y', T1.air_date) = '1998' AND T2.organization = 'International Monitor Awards' AND T2.result = 'Winner'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- How many times did the episode titled "Agony" win an award?
| SELECT COUNT(T2.award_id) FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Agony' AND T2.result = 'Winner'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- How many episodes are there in the 9th season of Law and Order? Calculate the average number of casts per season of the said series.
| SELECT SUM(CASE WHEN T2.season = 9 THEN 1 ELSE 0 END) AS num , CAST(SUM(CASE WHEN T2.season = 9 THEN 1 ELSE 0 END) AS REAL) / COUNT(T1.episode_id) FROM Credit AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.category = 'Cast' AND T2.series = 'Law and Order'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- What are the keywords of the episode which received the 2nd-highest number of votes?
| SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.votes NOT IN ( SELECT MAX(T1.votes) FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id ) ORDER BY T1.votes DESC LIMIT 1; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- How many awards did the "Agony" win?
| SELECT COUNT(T2.award) FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Agony' AND T2.result = 'Winner'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- Who is the narrator of the "Flight" episode?
| SELECT T3.name FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T1.title = 'Flight' AND T2.role = 'Narrator'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- In which organization did Constantine Makris win the most awards?
| SELECT T2.organization FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T1.name = 'Constantine Makris' AND T2.result = 'Winner' GROUP BY T2.organization ORDER BY COUNT(T2.award_id) DESC LIMIT 1; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- Who is the stunt coordinator in episode 3?
| SELECT T3.name FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T1.episode = 3 AND T2.role = 'stunt coordinator'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- How many people were not credited at the end of the "Admissions" episode?
| SELECT COUNT(T2.person_id) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Admissions' AND T2.credited = 'false'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- What is the title of the episode that has the highest number of crews in the Art Department?
| SELECT T2.title FROM Credit AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.category = 'Art Department' GROUP BY T2.episode_id ORDER BY COUNT(T1.category) DESC LIMIT 1; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- How many roles did Julia Roberts play in the series?
| SELECT COUNT(T1.role) FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T2.name = 'Julia Roberts'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- What are the titles of the top 3 episodes that received no less than 30 votes in its 10-star rating?
| SELECT T2.title FROM Vote AS T1 INNER JOIN Episode AS T2 ON T2.episode_id = T1.episode_id WHERE T1.votes >= 30 AND T1.stars = 10 ORDER BY T1.votes DESC LIMIT 3; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- Who is the youngest person to ever play a "clerk" role in the series?
| SELECT T2.name FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T1.role = 'Clerk' AND T2.birthdate IS NOT NULL ORDER BY T2.birthdate LIMIT 1; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- How many people did not enjoy the finale episode?
| SELECT COUNT(T1.episode_id) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T1.episode = 24 AND T2.stars = 1; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- List the names of all the cast members in the series.
| SELECT T2.name FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T1.category = 'Cast'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- Who is the person who appeared the most in the series? Calculate in percentage how many times he or she appeared.
| SELECT T2.person_id, CAST(COUNT(T2.person_id) AS REAL) * 100 / ( SELECT COUNT(T2.person_id) AS num FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id ) AS per FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id GROUP BY T2.person_id ORDER BY COUNT(T2.person_id) DESC LIMIT 1; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- Which episodes of the Law & Order have been nominated for the Primetime Emmy Awards?
| SELECT DISTINCT episode_id FROM Award WHERE award_category = 'Primetime Emmy'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- How many episodes have not won any Law & Order series awards?
| SELECT COUNT(award_id) FROM Award WHERE Result = 'Nominee'; |
-- Database schema
| Episode : episode_id [ TEXT ] primary_key , series [ TEXT ] , season [ INTEGER ] , episode [ INTEGER ] , number_in_series [ INTEGER ] , title [ TEXT ] , summary [ TEXT ] , air_date [ DATE ] , episode_image [ TEXT ] , rating [ REAL ] , votes [ INTEGER ] | Keyword : episode_id [ TEXT ] Keyword.episode_id = Episode.episode_id , keyword [ TEXT ] | Person : person_id [ TEXT ] primary_key , name [ TEXT ] , birthdate [ DATE ] , birth_name [ TEXT ] , birth_place [ TEXT ] , birth_region [ TEXT ] , birth_country [ TEXT ] , height_meters [ REAL ] , nickname [ TEXT ] | Award : award_id [ INTEGER ] primary_key , organization [ TEXT ] , year [ INTEGER ] , award_category [ TEXT ] , award [ TEXT ] , series [ TEXT ] , episode_id [ TEXT ] Award.episode_id = Episode.episode_id , person_id [ TEXT ] Award.person_id = Person.person_id , role [ TEXT ] , result [ TEXT ] | Credit : episode_id [ TEXT ] Credit.episode_id = Episode.episode_id , person_id [ TEXT ] Credit.person_id = Person.person_id , category [ TEXT ] , role [ TEXT ] , credited [ TEXT ] | Vote : episode_id [ TEXT ] Vote.episode_id = Episode.episode_id , stars [ INTEGER ] , votes [ INTEGER ] , percent [ REAL ] |
-- -- What roles have not been credited at the end of the episodes?
| SELECT DISTINCT role FROM Credit WHERE credited = 'false'; |
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