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-- Database schema
| current : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] , birthday_bio [ DATE ] , cspan_id [ REAL ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ REAL ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ INTEGER ] , votesmart_id [ REAL ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | current-terms : address [ TEXT ] , bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id , caucus [ TEXT ] , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | historical : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] primary_key , bioguide_previous_id [ TEXT ] , birthday_bio [ TEXT ] , cspan_id [ TEXT ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_alternate_id [ TEXT ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ TEXT ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ TEXT ] , votesmart_id [ TEXT ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | historical-terms : address [ TEXT ] , bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , middle [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | social-media : bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id , facebook [ TEXT ] , facebook_id [ REAL ] , govtrack [ REAL ] , instagram [ TEXT ] , instagram_id [ REAL ] , thomas [ INTEGER ] , twitter [ TEXT ] , twitter_id [ REAL ] , youtube [ TEXT ] , youtube_id [ TEXT ] |
-- -- Which current legislator has served for more terms, Sherrod Brown or Maria Cantwell?
| SELECT CASE WHEN SUM(CASE WHEN T1.official_full_name = 'Maria Cantwell' THEN 1 ELSE 0 END) > SUM(CASE WHEN T1.official_full_name = 'Sherrod Brown' THEN 1 ELSE 0 END) THEN 'Maria Cantwell' ELSE 'Sherrod Brown' END FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide; |
-- Database schema
| current : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] , birthday_bio [ DATE ] , cspan_id [ REAL ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ REAL ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ INTEGER ] , votesmart_id [ REAL ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | current-terms : address [ TEXT ] , bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id , caucus [ TEXT ] , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | historical : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] primary_key , bioguide_previous_id [ TEXT ] , birthday_bio [ TEXT ] , cspan_id [ TEXT ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_alternate_id [ TEXT ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ TEXT ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ TEXT ] , votesmart_id [ TEXT ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | historical-terms : address [ TEXT ] , bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , middle [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | social-media : bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id , facebook [ TEXT ] , facebook_id [ REAL ] , govtrack [ REAL ] , instagram [ TEXT ] , instagram_id [ REAL ] , thomas [ INTEGER ] , twitter [ TEXT ] , twitter_id [ REAL ] , youtube [ TEXT ] , youtube_id [ TEXT ] |
-- -- Among all the current legislators who have served for more than 4 terms, what is the percentage of them being female?
| SELECT CAST(SUM(CASE WHEN gender_bio = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.bioguide) FROM ( SELECT T2.bioguide, T1.gender_bio FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide GROUP BY T2.bioguide HAVING COUNT(T2.bioguide) > 4 ) T3; |
-- Database schema
| current : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] , birthday_bio [ DATE ] , cspan_id [ REAL ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ REAL ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ INTEGER ] , votesmart_id [ REAL ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | current-terms : address [ TEXT ] , bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id , caucus [ TEXT ] , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | historical : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] primary_key , bioguide_previous_id [ TEXT ] , birthday_bio [ TEXT ] , cspan_id [ TEXT ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_alternate_id [ TEXT ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ TEXT ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ TEXT ] , votesmart_id [ TEXT ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | historical-terms : address [ TEXT ] , bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , middle [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | social-media : bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id , facebook [ TEXT ] , facebook_id [ REAL ] , govtrack [ REAL ] , instagram [ TEXT ] , instagram_id [ REAL ] , thomas [ INTEGER ] , twitter [ TEXT ] , twitter_id [ REAL ] , youtube [ TEXT ] , youtube_id [ TEXT ] |
-- -- What is the average number of terms served for a current legislator that's famous or impact?
| SELECT CAST(COUNT(T2.bioguide) AS REAL) / COUNT(DISTINCT T1.bioguide_id) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.wikipedia_id IS NOT NULL; |
-- Database schema
| current : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] , birthday_bio [ DATE ] , cspan_id [ REAL ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ REAL ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ INTEGER ] , votesmart_id [ REAL ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | current-terms : address [ TEXT ] , bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id , caucus [ TEXT ] , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | historical : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] primary_key , bioguide_previous_id [ TEXT ] , birthday_bio [ TEXT ] , cspan_id [ TEXT ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_alternate_id [ TEXT ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ TEXT ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ TEXT ] , votesmart_id [ TEXT ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | historical-terms : address [ TEXT ] , bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , middle [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | social-media : bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id , facebook [ TEXT ] , facebook_id [ REAL ] , govtrack [ REAL ] , instagram [ TEXT ] , instagram_id [ REAL ] , thomas [ INTEGER ] , twitter [ TEXT ] , twitter_id [ REAL ] , youtube [ TEXT ] , youtube_id [ TEXT ] |
-- -- How many of the legislators are female?
| SELECT COUNT(gender_bio) FROM current WHERE gender_bio = 'F'; |
-- Database schema
| current : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] , birthday_bio [ DATE ] , cspan_id [ REAL ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ REAL ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ INTEGER ] , votesmart_id [ REAL ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | current-terms : address [ TEXT ] , bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id , caucus [ TEXT ] , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | historical : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] primary_key , bioguide_previous_id [ TEXT ] , birthday_bio [ TEXT ] , cspan_id [ TEXT ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_alternate_id [ TEXT ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ TEXT ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ TEXT ] , votesmart_id [ TEXT ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | historical-terms : address [ TEXT ] , bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , middle [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | social-media : bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id , facebook [ TEXT ] , facebook_id [ REAL ] , govtrack [ REAL ] , instagram [ TEXT ] , instagram_id [ REAL ] , thomas [ INTEGER ] , twitter [ TEXT ] , twitter_id [ REAL ] , youtube [ TEXT ] , youtube_id [ TEXT ] |
-- -- What is the total number of senators New Jersey have?
| SELECT COUNT(type) FROM `historical-terms` WHERE state = 'NJ' AND type = 'rep'; |
-- Database schema
| current : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] , birthday_bio [ DATE ] , cspan_id [ REAL ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ REAL ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ INTEGER ] , votesmart_id [ REAL ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | current-terms : address [ TEXT ] , bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id , caucus [ TEXT ] , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | historical : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] primary_key , bioguide_previous_id [ TEXT ] , birthday_bio [ TEXT ] , cspan_id [ TEXT ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_alternate_id [ TEXT ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ TEXT ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ TEXT ] , votesmart_id [ TEXT ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | historical-terms : address [ TEXT ] , bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , middle [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | social-media : bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id , facebook [ TEXT ] , facebook_id [ REAL ] , govtrack [ REAL ] , instagram [ TEXT ] , instagram_id [ REAL ] , thomas [ INTEGER ] , twitter [ TEXT ] , twitter_id [ REAL ] , youtube [ TEXT ] , youtube_id [ TEXT ] |
-- -- Provide the address of the legislator with the contact form of http://www.carper.senate.gov/contact/.
| SELECT address FROM `current-terms` WHERE contact_form = 'http://www.carper.senate.gov/contact/'; |
-- Database schema
| current : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] , birthday_bio [ DATE ] , cspan_id [ REAL ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ REAL ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ INTEGER ] , votesmart_id [ REAL ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | current-terms : address [ TEXT ] , bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id , caucus [ TEXT ] , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | historical : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] primary_key , bioguide_previous_id [ TEXT ] , birthday_bio [ TEXT ] , cspan_id [ TEXT ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_alternate_id [ TEXT ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ TEXT ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ TEXT ] , votesmart_id [ TEXT ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | historical-terms : address [ TEXT ] , bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , middle [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | social-media : bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id , facebook [ TEXT ] , facebook_id [ REAL ] , govtrack [ REAL ] , instagram [ TEXT ] , instagram_id [ REAL ] , thomas [ INTEGER ] , twitter [ TEXT ] , twitter_id [ REAL ] , youtube [ TEXT ] , youtube_id [ TEXT ] |
-- -- Provide the Instagram username of the legislator named Benjamin Hawkins.
| SELECT T1.instagram FROM `social-media` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.first_name = 'Benjamin' AND T2.last_name = 'Hawkins'; |
-- Database schema
| current : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] , birthday_bio [ DATE ] , cspan_id [ REAL ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ REAL ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ INTEGER ] , votesmart_id [ REAL ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | current-terms : address [ TEXT ] , bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id , caucus [ TEXT ] , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | historical : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] primary_key , bioguide_previous_id [ TEXT ] , birthday_bio [ TEXT ] , cspan_id [ TEXT ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_alternate_id [ TEXT ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ TEXT ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ TEXT ] , votesmart_id [ TEXT ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | historical-terms : address [ TEXT ] , bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , middle [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | social-media : bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id , facebook [ TEXT ] , facebook_id [ REAL ] , govtrack [ REAL ] , instagram [ TEXT ] , instagram_id [ REAL ] , thomas [ INTEGER ] , twitter [ TEXT ] , twitter_id [ REAL ] , youtube [ TEXT ] , youtube_id [ TEXT ] |
-- -- Give the alphanumeric ID of the Catholic legislators in Nebraska.
| SELECT T1.bioguide FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.religion_bio = 'Catholic' AND T1.state = 'NE'; |
-- Database schema
| current : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] , birthday_bio [ DATE ] , cspan_id [ REAL ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ REAL ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ INTEGER ] , votesmart_id [ REAL ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | current-terms : address [ TEXT ] , bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id , caucus [ TEXT ] , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | historical : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] primary_key , bioguide_previous_id [ TEXT ] , birthday_bio [ TEXT ] , cspan_id [ TEXT ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_alternate_id [ TEXT ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ TEXT ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ TEXT ] , votesmart_id [ TEXT ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | historical-terms : address [ TEXT ] , bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , middle [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | social-media : bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id , facebook [ TEXT ] , facebook_id [ REAL ] , govtrack [ REAL ] , instagram [ TEXT ] , instagram_id [ REAL ] , thomas [ INTEGER ] , twitter [ TEXT ] , twitter_id [ REAL ] , youtube [ TEXT ] , youtube_id [ TEXT ] |
-- -- List down the MapLight ID of the representatives in Maine.
| SELECT T1.maplight_id FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.type = 'rep' AND T2.state = 'ME' GROUP BY T1.maplight_id; |
-- Database schema
| current : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] , birthday_bio [ DATE ] , cspan_id [ REAL ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ REAL ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ INTEGER ] , votesmart_id [ REAL ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | current-terms : address [ TEXT ] , bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id , caucus [ TEXT ] , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | historical : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] primary_key , bioguide_previous_id [ TEXT ] , birthday_bio [ TEXT ] , cspan_id [ TEXT ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_alternate_id [ TEXT ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ TEXT ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ TEXT ] , votesmart_id [ TEXT ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | historical-terms : address [ TEXT ] , bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , middle [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | social-media : bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id , facebook [ TEXT ] , facebook_id [ REAL ] , govtrack [ REAL ] , instagram [ TEXT ] , instagram_id [ REAL ] , thomas [ INTEGER ] , twitter [ TEXT ] , twitter_id [ REAL ] , youtube [ TEXT ] , youtube_id [ TEXT ] |
-- -- Give the type and start date of the term of the legislator born on November 26, 1727.
| SELECT T2.type, T2.start FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.birthday_bio = '1727-11-26'; |
-- Database schema
| current : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] , birthday_bio [ DATE ] , cspan_id [ REAL ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ REAL ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ INTEGER ] , votesmart_id [ REAL ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | current-terms : address [ TEXT ] , bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id , caucus [ TEXT ] , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | historical : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] primary_key , bioguide_previous_id [ TEXT ] , birthday_bio [ TEXT ] , cspan_id [ TEXT ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_alternate_id [ TEXT ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ TEXT ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ TEXT ] , votesmart_id [ TEXT ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | historical-terms : address [ TEXT ] , bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , middle [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | social-media : bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id , facebook [ TEXT ] , facebook_id [ REAL ] , govtrack [ REAL ] , instagram [ TEXT ] , instagram_id [ REAL ] , thomas [ INTEGER ] , twitter [ TEXT ] , twitter_id [ REAL ] , youtube [ TEXT ] , youtube_id [ TEXT ] |
-- -- What is the contact form of the legislator named Rick Crawford?
| SELECT T2.contact_form FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Rick Crawford'; |
-- Database schema
| current : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] , birthday_bio [ DATE ] , cspan_id [ REAL ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ REAL ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ INTEGER ] , votesmart_id [ REAL ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | current-terms : address [ TEXT ] , bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id , caucus [ TEXT ] , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | historical : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] primary_key , bioguide_previous_id [ TEXT ] , birthday_bio [ TEXT ] , cspan_id [ TEXT ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_alternate_id [ TEXT ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ TEXT ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ TEXT ] , votesmart_id [ TEXT ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | historical-terms : address [ TEXT ] , bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , middle [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | social-media : bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id , facebook [ TEXT ] , facebook_id [ REAL ] , govtrack [ REAL ] , instagram [ TEXT ] , instagram_id [ REAL ] , thomas [ INTEGER ] , twitter [ TEXT ] , twitter_id [ REAL ] , youtube [ TEXT ] , youtube_id [ TEXT ] |
-- -- How many female representatives are there in Michigan?
| SELECT COUNT(T.bioguide_id) FROM ( SELECT T1.bioguide_id FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.type = 'rep' AND T2.state = 'MI' AND T1.gender_bio = 'F' GROUP BY T1.bioguide_id ) T; |
-- Database schema
| current : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] , birthday_bio [ DATE ] , cspan_id [ REAL ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ REAL ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ INTEGER ] , votesmart_id [ REAL ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | current-terms : address [ TEXT ] , bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id , caucus [ TEXT ] , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | historical : ballotpedia_id [ TEXT ] , bioguide_id [ TEXT ] primary_key , bioguide_previous_id [ TEXT ] , birthday_bio [ TEXT ] , cspan_id [ TEXT ] , fec_id [ TEXT ] , first_name [ TEXT ] , gender_bio [ TEXT ] , google_entity_id_id [ TEXT ] , govtrack_id [ INTEGER ] , house_history_alternate_id [ TEXT ] , house_history_id [ REAL ] , icpsr_id [ REAL ] , last_name [ TEXT ] , lis_id [ TEXT ] , maplight_id [ TEXT ] , middle_name [ TEXT ] , nickname_name [ TEXT ] , official_full_name [ TEXT ] , opensecrets_id [ TEXT ] , religion_bio [ TEXT ] , suffix_name [ TEXT ] , thomas_id [ TEXT ] , votesmart_id [ TEXT ] , wikidata_id [ TEXT ] , wikipedia_id [ TEXT ] | historical-terms : address [ TEXT ] , bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id , chamber [ TEXT ] , class [ REAL ] , contact_form [ TEXT ] , district [ REAL ] , end [ TEXT ] , fax [ TEXT ] , last [ TEXT ] , middle [ TEXT ] , name [ TEXT ] , office [ TEXT ] , party [ TEXT ] , party_affiliations [ TEXT ] , phone [ TEXT ] , relation [ TEXT ] , rss_url [ TEXT ] , start [ TEXT ] , state [ TEXT ] , state_rank [ TEXT ] , title [ TEXT ] , type [ TEXT ] , url [ TEXT ] | social-media : bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id , facebook [ TEXT ] , facebook_id [ REAL ] , govtrack [ REAL ] , instagram [ TEXT ] , instagram_id [ REAL ] , thomas [ INTEGER ] , twitter [ TEXT ] , twitter_id [ REAL ] , youtube [ TEXT ] , youtube_id [ TEXT ] |
-- -- Among the female legislators, what is the percentage of the senators in Maine?
| SELECT CAST(SUM(CASE WHEN T2.type = 'sen' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.type) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.state = 'ME' AND T1.gender_bio = 'F'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Please list the names of all the Olympic games that John Aalberg has taken part in.
| SELECT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'John Aalberg'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What was the name of the Olympic game that John Aalberg took part in when he was 31?
| SELECT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'John Aalberg' AND T2.age = 31; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- When John Aalberg took part in the 1994 Winter Olympic Game, how old was he?
| SELECT T2.age FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'John Aalberg' AND T1.games_name = '1994 Winter'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many Olympic competitors are from Finland?
| SELECT COUNT(T1.person_id) FROM person_region AS T1 INNER JOIN noc_region AS T2 ON T1.region_id = T2.id WHERE T2.region_name = 'Finland'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Please list the names of all the Olympic competitors from Finland.
| SELECT T3.full_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Finland'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- The Olympic competitor John Aalberg is from which region?
| SELECT T1.region_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'John Aalberg'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the NOC code of the region where the tallest male Olympic competitor is from?
| SELECT T1.noc FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.gender = 'M' ORDER BY T3.height DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Among all the Olympic competitors from Finland, how many of them are female?
| SELECT COUNT(T3.id) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Finland' AND T3.gender = 'F'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- In which city was the 1992 Summer Olympic Games held?
| SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T3.games_name = '1992 Summer'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Please list the names of the Olympic games that were held in London.
| SELECT T3.games_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T2.city_name = 'London'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- In which year did London hold its earliest Olympic game?
| SELECT T3.games_year FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T2.city_name = 'London' ORDER BY T3.games_year LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- For how many times has London held the Olympic games?
| SELECT COUNT(T1.games_id) FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id WHERE T2.city_name = 'London'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the average height of the male Olympic competitors from Finland?
| SELECT AVG(T3.height) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Finland' AND T3.gender = 'M'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Among the competitors of the 1994 Winter Olympic Game, what is the percentage of those from Finland?
| SELECT CAST(COUNT(CASE WHEN T5.region_name = 'Finland' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T3.id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id INNER JOIN person_region AS T4 ON T3.id = T4.person_id INNER JOIN noc_region AS T5 ON T4.region_id = T5.id WHERE T1.games_name = '1994 Winter'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Which sport does the event "Shooting Women's Trap" belong to?
| SELECT T1.sport_name FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id WHERE T2.event_name LIKE 'Shooting Women%s Trap'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Which city was the host of 1936 Winter Olympic Games?
| SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T3.games_name = '1936 Winter'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many Olympic Games has London hosted?
| SELECT COUNT(T3.id) FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T2.city_name = 'London'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Tell the number of swimming related events.
| SELECT COUNT(T2.event_name) FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id WHERE T1.sport_name = 'Swimming'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- For Peter Kohnke, show the name of his/her region.
| SELECT T1.region_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'Peter Kohnke'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Which game has Jessica Carolina Aguilera Aguilera participated in? Give the id of the game.
| SELECT T2.games_id FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id WHERE T1.full_name = 'Jessica Carolina Aguilera Aguilera'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Show the name of the sport with the most events.
| SELECT T1.sport_name FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id GROUP BY T1.sport_name ORDER BY COUNT(T2.event_name) DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Give the name of the tallest athlete from Sweden.
| SELECT T3.full_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Sweden' ORDER BY T3.height DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many athletes in the database are from Guatemala?
| SELECT COUNT(T1.person_id) FROM person_region AS T1 INNER JOIN noc_region AS T2 ON T1.region_id = T2.id WHERE T2.region_name = 'Guatemala'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Who has participated in the most Olympic Games in the database?
| SELECT T1.full_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id GROUP BY T2.person_id ORDER BY COUNT(T2.person_id) DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Show the name of the competitor id 90991.
| SELECT T1.full_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id WHERE T2.id = 90991; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many competitor ids does Martina Kohlov have?
| SELECT COUNT(T2.id) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id WHERE T1.full_name = 'Martina Kohlov'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Calculate the bmi of the competitor id 147420.
| SELECT CAST(T1.weight AS REAL) / (T1.height * T1.height) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id WHERE T2.id = 147420; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the percentage of male athletes from Estonia?
| SELECT CAST(COUNT(CASE WHEN T3.gender = 'M' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.person_id) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Estonia'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Who is the youngest person who participated in the Olympics?
| SELECT T1.full_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id ORDER BY T2.age LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many 24 years old competitors competed in Men's Basketball?
| SELECT COUNT(T2.person_id) FROM competitor_event AS T1 INNER JOIN games_competitor AS T2 ON T1.competitor_id = T2.id INNER JOIN event AS T3 ON T1.event_id = T3.id WHERE T3.event_name LIKE 'Basketball Men%s Basketball' AND T2.age = 24; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What are the names of the events under Art Competitions?
| SELECT T2.event_name FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id WHERE T1.sport_name = 'Art Competitions'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many gold medals does Henk Jan Zwolle have?
| SELECT COUNT(T1.id) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN competitor_event AS T3 ON T2.id = T3.competitor_id INNER JOIN medal AS T4 ON T3.medal_id = T4.id WHERE T1.full_name = 'Henk Jan Zwolle' AND T4.medal_name = 'Gold'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the name of the event where competitors received the most gold medals?
| SELECT T2.event_name FROM competitor_event AS T1 INNER JOIN event AS T2 ON T1.event_id = T2.id INNER JOIN medal AS T3 ON T1.medal_id = T3.id WHERE T3.medal_name = 'Gold' GROUP BY T2.id ORDER BY COUNT(T1.event_id) DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many athletes are from Australia?
| SELECT COUNT(T2.person_id) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id WHERE T1.region_name = 'Australia'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Which cities hosted at least 3 Olympic games?
| SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id GROUP BY T2.id HAVING COUNT(T1.games_id) >= 3; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many Summer games were held in Stockholm?
| SELECT COUNT(T3.id) FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T2.city_name = 'Stockholm' AND T3.season = 'Summer'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Which region do most of the athletes are from?
| SELECT T2.region_name FROM person_region AS T1 INNER JOIN noc_region AS T2 ON T1.region_id = T2.id GROUP BY T2.region_name ORDER BY COUNT(T1.person_id) DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Where was the first Olympic game held?
| SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id ORDER BY T3.games_year LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the name of the game in which the oldest Olympian has ever participated?
| SELECT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id ORDER BY T2.age LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many athletes competed in the 1992 Summer Olympics?
| SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name = '1928 Summer'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many Olympic events did Michael Phelps II join in total? Find the percentage of the events where he won a gold medal.
| SELECT COUNT(T3.event_id) , CAST(COUNT(CASE WHEN T4.id = '1' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T4.id) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN competitor_event AS T3 ON T2.id = T3.competitor_id INNER JOIN medal AS T4 ON T3.medal_id = T4.id WHERE T1.full_name = 'Michael Fred Phelps, II'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- In the Winter and Summer Olympics of 1988, which game has the most number of competitors? Find the difference of the number of competitors between the two games.
| SELECT P1 , ( SELECT MAX(P2) - MIN(P2) FROM ( SELECT COUNT(T2.person_id) AS P2 FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name IN ('1988 Winter', '1988 Summer') GROUP BY T1.season ) ORDER BY P2 DESC LIMIT 1 ) FROM ( SELECT T1.season AS P1, COUNT(T2.person_id) AS P2 FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name IN ('1988 Winter', '1988 Summer') GROUP BY T1.season ) ORDER BY P2 DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What age of the competitors is the most numerous?
| SELECT age FROM games_competitor GROUP BY age ORDER BY COUNT(person_id) DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- In which cities beginning with the letter M have the Olympic Games been held?
| SELECT city_name FROM city WHERE city_name LIKE 'M%'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- In which cities were the 1976 winter and summer games held?
| SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T3.games_name IN ('1976 Summer', '1976 Winter'); |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What was the medal that Coleen Dufresne got?
| SELECT T4.medal_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN competitor_event AS T3 ON T2.id = T3.competitor_id INNER JOIN medal AS T4 ON T3.medal_id = T4.id WHERE T1.full_name = 'Coleen Dufresne (-Stewner)'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the name of the competitor who has won the most medals?
| SELECT T1.full_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN competitor_event AS T3 ON T2.id = T3.competitor_id INNER JOIN medal AS T4 ON T3.medal_id = T4.id WHERE T4.id != 4 GROUP BY T1.full_name ORDER BY COUNT(T4.id) DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Where is competitor Estelle Nze Minko from?
| SELECT T1.region_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'Estelle Nze Minko'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the name of all the sports Chin Eei Hui has competed in?
| SELECT DISTINCT T1.sport_name FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id INNER JOIN competitor_event AS T3 ON T2.id = T3.event_id INNER JOIN games_competitor AS T4 ON T3.competitor_id = T4.id INNER JOIN person AS T5 ON T4.person_id = T5.id WHERE T5.full_name = 'Chin Eei Hui'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the name of the oldest person who participated in the Olympic Games?
| SELECT T1.full_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id ORDER BY T2.age DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- In which Olympic Games have the largest number of women participation?
| SELECT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.gender = 'F' GROUP BY T1.games_name ORDER BY COUNT(T2.person_id) DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many males from Belgium have participated in an Olympic Games?
| SELECT COUNT(T2.person_id) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Belgium' AND T3.gender = 'M'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many persons participated in the Sapporo Olympics?
| SELECT COUNT(T1.person_id) FROM games_competitor AS T1 INNER JOIN games_city AS T2 ON T1.games_id = T2.games_id INNER JOIN city AS T3 ON T2.city_id = T3.id WHERE T3.city_name = 'Sapporo'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- In which Olympic Games has Morten Aleksander Djupvik participated?
| SELECT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'Morten Aleksander Djupvik'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many persons in total have participated in 12 meter Mixed Sailing competitions?
| SELECT COUNT(T1.competitor_id) FROM competitor_event AS T1 INNER JOIN event AS T2 ON T1.event_id = T2.id INNER JOIN sport AS T3 ON T2.sport_id = T3.id WHERE T2.event_name = 'Sailing Mixed 12 metres'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many different events are there of Modern Pentathlon?
| SELECT COUNT(DISTINCT T2.event_name) FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id WHERE T1.sport_name = 'Modern Pentathlon'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Calculate the percentage of women who have participated in Equestrianism Mixed Three-Day Event, Individual.
| SELECT CAST(COUNT(CASE WHEN T1.gender = 'F' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.id) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN competitor_event AS T3 ON T2.id = T3.competitor_id INNER JOIN event AS T4 ON T3.event_id = T4.id WHERE T4.event_name = 'Equestrianism Mixed Three-Day Event, Individual'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Calculate the average age of the persons who participated in the 1992 Summer Games.
| SELECT AVG(T2.age) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.games_name = '1992 Summer'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- List out years that only have summer games.
| SELECT games_year FROM games WHERE season != 'Winter' GROUP BY games_year HAVING COUNT(season) = 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many Olympics games were held during the 90s?
| SELECT COUNT(games_year) FROM games WHERE games_year BETWEEN '1990' AND '1999'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many athletes participated in the 2014 Winter Olympics?
| SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name = '2014 Winter'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many athletes from region 151 have won a medal?
| SELECT COUNT(T3.person_id) FROM competitor_event AS T1 INNER JOIN games_competitor AS T2 ON T1.competitor_id = T2.id INNER JOIN person_region AS T3 ON T2.person_id = T3.person_id WHERE T3.region_id = 151 AND T1.medal_id != 4; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many athlete from China participate in the 2016 Summer Olympics?
| SELECT COUNT(T3.id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id INNER JOIN person_region AS T4 ON T3.id = T4.person_id INNER JOIN noc_region AS T5 ON T4.region_id = T5.id WHERE T1.games_name = '2016 Summer' AND T5.region_name = 'China'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many gold medals were given to the winners in the Ice Hockey Men's Ice Hockey event?
| SELECT COUNT(T2.competitor_id) FROM event AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.event_id WHERE T1.event_name LIKE 'Ice Hockey Men%s Ice Hockey' AND T2.medal_id = 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Which region has the highest medal number?
| SELECT T5.region_name FROM medal AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.medal_id INNER JOIN games_competitor AS T3 ON T2.competitor_id = T3.id INNER JOIN person_region AS T4 ON T3.person_id = T4.person_id INNER JOIN noc_region AS T5 ON T4.region_id = T5.id WHERE T1.id != 4 GROUP BY T5.region_name ORDER BY COUNT(T2.competitor_id) DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- List out all the gold medalist winners in cycling sport.
| SELECT DISTINCT T5.full_name FROM event AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.event_id INNER JOIN games_competitor AS T3 ON T2.competitor_id = T3.id INNER JOIN sport AS T4 ON T1.sport_id = T4.id INNER JOIN person AS T5 ON T3.person_id = T5.id WHERE T4.sport_name = 'Cycling' AND T2.medal_id = 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- List out all the medals won by Lee Chong Wei.
| SELECT DISTINCT T1.medal_name FROM medal AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.medal_id INNER JOIN games_competitor AS T3 ON T2.competitor_id = T3.id INNER JOIN person AS T4 ON T3.person_id = T4.id WHERE T4.full_name = 'Lee Chong Wei' AND T2.medal_id <> 4; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the percentage of female athletes below 20s who participated in the 2002 Winter Olympic?
| SELECT CAST(COUNT(CASE WHEN T3.gender = 'F' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.games_name = '2002 Winter' AND T2.age < 20; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the ratio male to female athletes in the 2012 Summer Olympic?
| SELECT CAST(COUNT(CASE WHEN T3.gender = 'M' THEN 1 ELSE NULL END) AS REAL) / COUNT(CASE WHEN T3.gender = 'F' THEN 1 ELSE NULL END) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.games_name = '2012 Summer'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Which summer Olympic have the highest and lowest number of participants?
| SELECT ( SELECT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.season = 'Summer' GROUP BY T1.games_year ORDER BY COUNT(T2.person_id) DESC LIMIT 1 ) AS HIGHEST , ( SELECT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.season = 'Summer' GROUP BY T1.games_year ORDER BY COUNT(T2.person_id) LIMIT 1 ) AS LOWEST; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many athletes from Malaysia have won a medal?
| SELECT COUNT(T3.person_id) FROM medal AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.medal_id INNER JOIN games_competitor AS T3 ON T2.competitor_id = T3.id INNER JOIN person_region AS T4 ON T3.person_id = T4.person_id INNER JOIN noc_region AS T5 ON T4.region_id = T5.id WHERE T5.region_name = 'Malaysia' AND T1.id != 4; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many athletes playing in Canoeing fall into overweight BMI category in the 2008 Summer games?
| SELECT COUNT(T5.id) FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id INNER JOIN competitor_event AS T3 ON T2.id = T3.event_id INNER JOIN games_competitor AS T4 ON T3.competitor_id = T4.id INNER JOIN person AS T5 ON T4.person_id = T5.id INNER JOIN games AS T6 ON T4.games_id = T6.id WHERE T1.sport_name = 'Canoeing' AND T6.games_name = '2008 Summer' AND T5.weight * 10000.0 / (T5.height * T5.height) BETWEEN 25.0 AND 30; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the average height of male athletes playing basketball sport?
| SELECT AVG(T5.height) FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id INNER JOIN competitor_event AS T3 ON T2.id = T3.event_id INNER JOIN games_competitor AS T4 ON T3.competitor_id = T4.id INNER JOIN person AS T5 ON T4.person_id = T5.id WHERE T1.sport_name = 'Basketball' AND T5.gender = 'M'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many female athletes are from the Philippines?
| SELECT COUNT(T2.person_id) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Philippines' AND T3.gender = 'F'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Which region is Yao Ming from?
| SELECT T1.region_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'Yao Ming'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- At what age did Michael Fred Phelps, II join the Olympics?
| SELECT T2.age FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id WHERE T1.full_name = 'Michael Fred Phelps, II' ORDER BY T2.age LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many athletes are there in the region where Clara Hughes is from?
| SELECT COUNT(person_id) FROM person_region WHERE region_id = ( SELECT T1.region_id FROM person_region AS T1 INNER JOIN person AS T2 ON T1.person_id = T2.id WHERE T2.full_name = 'Clara Hughes' ); |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many Men's 200 Metres Freestyle events did Ian James Thorpe compete in?
| SELECT COUNT(T1.id) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN competitor_event AS T3 ON T2.id = T3.competitor_id INNER JOIN event AS T4 ON T3.event_id = T4.id WHERE T1.full_name = 'Ian James Thorpe' AND T4.event_name LIKE 'Swimming Men%s 200 metres Freestyle'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many times was Larysa Semenivna Latynina (Diriy-) declared as champion in Gymnastics Women's Individual All-Around?
| SELECT COUNT(T1.id) FROM event AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.event_id INNER JOIN games_competitor AS T3 ON T2.competitor_id = T3.id INNER JOIN person AS T4 ON T3.person_id = T4.id WHERE T4.full_name = 'Larysa Semenivna Latynina (Diriy-)' AND T1.event_name LIKE 'Gymnastics Women%s Individual All-Around' AND T2.medal_id = 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What are the names of the cities where Carl Lewis Borack competed?
| SELECT T4.city_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN games_city AS T3 ON T2.games_id = T3.games_id INNER JOIN city AS T4 ON T3.city_id = T4.id WHERE T1.full_name = 'Carl Lewis Borack'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many Olympic games were held in London?
| SELECT COUNT(T1.games_id) FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id WHERE T2.city_name = 'London'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Which city was the 1992 Summer Olympic held?
| SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T3.games_name = '1992 Summer'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many athletes over the age of 59 competed in the 2016 Summer Olympics?
| SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name = '2016 Summer' AND T2.age > 59; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Among the Olympic games held in Los Angeles, what is the name of the Olympic game that has the most number of competitors?
| SELECT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN games_city AS T3 ON T2.games_id = T3.games_id INNER JOIN city AS T4 ON T3.city_id = T4.id WHERE T4.city_name = 'Los Angeles' GROUP BY T1.id ORDER BY COUNT(T2.person_id) DESC LIMIT 1; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- How many 10-year old athletes participated in the Gymnastics Men's Parallel Bars, Teams event?
| SELECT COUNT(T2.person_id) FROM competitor_event AS T1 INNER JOIN games_competitor AS T2 ON T1.competitor_id = T2.id INNER JOIN event AS T3 ON T1.event_id = T3.id WHERE T3.event_name LIKE 'Gymnastics Men%s Parallel Bars, Teams' AND T2.age = 10; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- What is the average age of the athletes from the United States of America who competed in the 2016 Summer Olympics?
| SELECT AVG(T2.age) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person_region AS T3 ON T2.person_id = T3.person_id INNER JOIN noc_region AS T4 ON T3.region_id = T4.id WHERE T1.games_name = '2016 Summer' AND T4.region_name = 'USA'; |
-- Database schema
| city : id [ INTEGER ] primary_key , city_name [ TEXT ] | games : id [ INTEGER ] primary_key , games_year [ INTEGER ] , games_name [ TEXT ] , season [ TEXT ] | games_city : games_id [ INTEGER ] games_city.games_id = games.id , city_id [ INTEGER ] games_city.city_id = city.id | medal : id [ INTEGER ] primary_key , medal_name [ TEXT ] | noc_region : id [ INTEGER ] primary_key , noc [ TEXT ] , region_name [ TEXT ] | person : id [ INTEGER ] primary_key , full_name [ TEXT ] , gender [ TEXT ] , height [ INTEGER ] , weight [ INTEGER ] | games_competitor : id [ INTEGER ] primary_key , games_id [ INTEGER ] games_competitor.games_id = games.id , person_id [ INTEGER ] games_competitor.person_id = person.id , age [ INTEGER ] | person_region : person_id [ INTEGER ] person_region.person_id = person.id , region_id [ INTEGER ] person_region.region_id = noc_region.id | sport : id [ INTEGER ] primary_key , sport_name [ TEXT ] | event : id [ INTEGER ] primary_key , sport_id [ INTEGER ] event.sport_id = sport.id , event_name [ TEXT ] | competitor_event : event_id [ INTEGER ] competitor_event.event_id = event.id , competitor_id [ INTEGER ] competitor_event.competitor_id = games_competitor.id , medal_id [ INTEGER ] competitor_event.medal_id = medal.id |
-- -- Which region does the NOC code "COL" stand for?
| SELECT region_name FROM noc_region WHERE noc = 'COL'; |
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