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CREATE TABLE greatermanchestercrime (crimeid TEXT, crimets TIME, location TEXT, lsoa TEXT, type TEXT, outcome TEXT)
|
If it is possible to increase the number of police officers, which place is with the first priority?
|
SELECT location FROM greatermanchestercrime GROUP BY location ORDER BY COUNT(*) DESC LIMIT 1
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SELECT "location" FROM "greatermanchestercrime" GROUP BY "location" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1
| 0.106445 |
CREATE TABLE table_name_5 (date VARCHAR, venue VARCHAR, result VARCHAR)
|
On what date was the venue Away and the result was lost 6-4 (lost 9-7 on agg)?
|
SELECT date FROM table_name_5 WHERE venue = "away" AND result = "lost 6-4 (lost 9-7 on agg)"
|
SELECT "date" FROM "table_name_5" WHERE "away" = "venue" AND "lost 6-4 (lost 9-7 on agg)" = "result"
| 0.097656 |
CREATE TABLE table_65768 ("Nat." TEXT, "Name" TEXT, "Since" TEXT, "Goals" FLOAT, "Ends" FLOAT)
|
What is the highest goal for a GEO nat., that ended after 2010?
|
SELECT MAX("Goals") FROM table_65768 WHERE "Nat." = 'geo' AND "Ends" > '2010'
|
SELECT MAX("Goals") FROM "table_65768" WHERE "Ends" > '2010' AND "Nat." = 'geo'
| 0.077148 |
CREATE TABLE table_73999 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" TEXT, "Result" TEXT, "Candidates" TEXT)
|
Name the result for willis alston
|
SELECT "Result" FROM table_73999 WHERE "Incumbent" = 'Willis Alston'
|
SELECT "Result" FROM "table_73999" WHERE "Incumbent" = 'Willis Alston'
| 0.068359 |
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
|
show me the UA flights from DENVER to BALTIMORE leaving on 6 14
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BALTIMORE' AND date_day.day_number = 14 AND date_day.month_number = 6 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.airline_code = 'UA'
|
SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 14 AND "date_day"."month_number" = 6 AND "date_day"."year" = 1991 JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND "flight"."airline_code" = 'UA' JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BALTIMORE'
| 0.740234 |
CREATE TABLE table_50797 ("Draw" FLOAT, "Artist" TEXT, "Song" TEXT, "Points" FLOAT, "Place" TEXT)
|
What was the draw for 'Feel The Pain' which placed in 2nd and had more than 79 points?
|
SELECT AVG("Draw") FROM table_50797 WHERE "Place" = '2nd' AND "Song" = 'feel the pain' AND "Points" > '79'
|
SELECT AVG("Draw") FROM "table_50797" WHERE "Place" = '2nd' AND "Points" > '79' AND "Song" = 'feel the pain'
| 0.105469 |
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
|
Get Posts with at least three answers.
|
SELECT ROW_NUMBER() OVER (ORDER BY Id DESC), * FROM Posts AS a WHERE a.AnswerCount >= 3 AND a.PostTypeId = 1 AND a.OwnerUserId NOT IN (SELECT OwnerUserId FROM Posts AS p WHERE p.PostTypeId = 2 AND p.ParentId = a.Id)
|
SELECT ROW_NUMBER() OVER (ORDER BY "Id" DESC NULLS LAST), * FROM "Posts" AS "a" WHERE "a"."AnswerCount" >= 3 AND "a"."PostTypeId" = 1 AND NOT "a"."OwnerUserId" IN (SELECT "OwnerUserId" FROM "Posts" AS "p" WHERE "a"."Id" = "p"."ParentId" AND "p"."PostTypeId" = 2)
| 0.255859 |
CREATE TABLE table_name_94 (year INT, competition VARCHAR)
|
Which Year has a Competition of commonwealth youth games?
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SELECT AVG(year) FROM table_name_94 WHERE competition = "commonwealth youth games"
|
SELECT AVG("year") FROM "table_name_94" WHERE "commonwealth youth games" = "competition"
| 0.085938 |
CREATE TABLE table_27 ("Rank Each wrestlers total number of days as champion are ranked highest to lowest; wrestlers with the same number mean that they are tied for that certain rank." FLOAT, "Wrestler" TEXT, "# of reigns" FLOAT, "Combined defenses" FLOAT, "Combined days" TEXT)
|
What was Go Shiozaki's rank?
|
SELECT MIN("Rank Each wrestlers total number of days as champion are ranked highest to lowest; wrestlers with the same number mean that they are tied for that certain rank.") FROM table_27 WHERE "Wrestler" = 'Go Shiozaki'
|
SELECT MIN("Rank Each wrestlers total number of days as champion are ranked highest to lowest; wrestlers with the same number mean that they are tied for that certain rank.") FROM "table_27" WHERE "Wrestler" = 'Go Shiozaki'
| 0.217773 |
CREATE TABLE table_65973 ("Rank" FLOAT, "Player" TEXT, "From" TEXT, "Transfer Fee ( \\u20ac millions ) " TEXT, "Year" FLOAT)
|
How many players were signed from Sevilla?
|
SELECT COUNT("Year") FROM table_65973 WHERE "From" = 'sevilla'
|
SELECT COUNT("Year") FROM "table_65973" WHERE "From" = 'sevilla'
| 0.0625 |
CREATE TABLE table_20879 ("Player" TEXT, "VFL Games" FLOAT, "VFL Club ( s ) " TEXT, "Rank held at time of death" TEXT, "Date of death" TEXT, "Location" TEXT)
|
What location had a VFL Game number of 9?
|
SELECT "Location" FROM table_20879 WHERE "VFL Games" = '9'
|
SELECT "Location" FROM "table_20879" WHERE "VFL Games" = '9'
| 0.058594 |
CREATE TABLE table_name_33 (airport VARCHAR, country VARCHAR)
|
Which airport is located in Singapore?
|
SELECT airport FROM table_name_33 WHERE country = "singapore"
|
SELECT "airport" FROM "table_name_33" WHERE "country" = "singapore"
| 0.06543 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
what is maximum age of patients whose marital status is widowed and days of hospital stay is 26?
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SELECT MAX(demographic.age) FROM demographic WHERE demographic.marital_status = "WIDOWED" AND demographic.days_stay = "26"
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SELECT MAX("demographic"."age") FROM "demographic" WHERE "26" = "demographic"."days_stay" AND "WIDOWED" = "demographic"."marital_status"
| 0.132813 |
CREATE TABLE table_157 ("Team" TEXT, "Stadium" TEXT, "Capacity" FLOAT, "Lowest" FLOAT, "Highest" FLOAT, "Average" FLOAT)
|
Which stadiums have an average attendance of 13840?
|
SELECT "Stadium" FROM table_157 WHERE "Average" = '13840'
|
SELECT "Stadium" FROM "table_157" WHERE "Average" = '13840'
| 0.057617 |
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
|
show me the flights from BALTIMORE to BOSTON
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BALTIMORE' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
|
SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BALTIMORE' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BOSTON'
| 0.495117 |
CREATE TABLE catalogs (catalog_name VARCHAR, date_of_publication VARCHAR, catalog_id VARCHAR)
CREATE TABLE catalog_structure (catalog_id VARCHAR)
|
Find the names and publication dates of all catalogs that have catalog level number greater than 5.
|
SELECT t1.catalog_name, t1.date_of_publication FROM catalogs AS t1 JOIN catalog_structure AS t2 ON t1.catalog_id = t2.catalog_id WHERE catalog_level_number > 5
|
SELECT "t1"."catalog_name", "t1"."date_of_publication" FROM "catalogs" AS "t1" JOIN "catalog_structure" AS "t2" ON "t1"."catalog_id" = "t2"."catalog_id" WHERE "catalog_level_number" > 5
| 0.180664 |
CREATE TABLE College (cName VARCHAR, state VARCHAR, enr DECIMAL)
CREATE TABLE Tryout (pID DECIMAL, cName VARCHAR, pPos VARCHAR, decision VARCHAR)
CREATE TABLE Player (pID DECIMAL, pName VARCHAR, yCard VARCHAR, HS DECIMAL)
|
Bar chart, the-axis is the state, and the Y axis is each state's the smallest enrollment, show by the X from low to high.
|
SELECT state, MIN(enr) FROM College GROUP BY state ORDER BY state
|
SELECT "state", MIN("enr") FROM "College" GROUP BY "state" ORDER BY "state" NULLS FIRST
| 0.084961 |
CREATE TABLE table_name_1 (valency_change VARCHAR, type VARCHAR)
|
WHat is the Valency change of associative type?
|
SELECT valency_change FROM table_name_1 WHERE type = "associative"
|
SELECT "valency_change" FROM "table_name_1" WHERE "associative" = "type"
| 0.070313 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
what is admission type and diagnoses icd9 code of subject id 62296?
|
SELECT demographic.admission_type, diagnoses.icd9_code FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "62296"
|
SELECT "demographic"."admission_type", "diagnoses"."icd9_code" FROM "demographic" JOIN "diagnoses" ON "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "62296" = "demographic"."subject_id"
| 0.1875 |
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
|
For those employees who was hired before 2002-06-21, visualize a bar chart about the distribution of hire_date and the sum of department_id bin hire_date by time, and order sum department id in ascending order.
|
SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY SUM(DEPARTMENT_ID)
|
SELECT "HIRE_DATE", SUM("DEPARTMENT_ID") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' ORDER BY SUM("DEPARTMENT_ID") NULLS FIRST
| 0.128906 |
CREATE TABLE table_name_69 (date VARCHAR, outcome VARCHAR, score VARCHAR)
|
Which Date has an Outcome of winner, and a Score of 7 5, 6 4?
|
SELECT date FROM table_name_69 WHERE outcome = "winner" AND score = "7–5, 6–4"
|
SELECT "date" FROM "table_name_69" WHERE "7–5, 6–4" = "score" AND "outcome" = "winner"
| 0.083984 |
CREATE TABLE table_name_11 (type VARCHAR, e_coli VARCHAR)
|
What is the type of glycosylase that has an E. coli of Muty?
|
SELECT type FROM table_name_11 WHERE e_coli = "muty"
|
SELECT "type" FROM "table_name_11" WHERE "e_coli" = "muty"
| 0.056641 |
CREATE TABLE player (player_id DECIMAL, name TEXT, position TEXT, club_id DECIMAL, apps DECIMAL, tries DECIMAL, goals TEXT, points DECIMAL)
CREATE TABLE competition_result (competition_id DECIMAL, club_id_1 DECIMAL, club_id_2 DECIMAL, score TEXT)
CREATE TABLE club (club_id DECIMAL, name TEXT, region TEXT, start_year TEXT)
CREATE TABLE club_rank (rank DECIMAL, club_id DECIMAL, gold DECIMAL, silver DECIMAL, bronze DECIMAL, total DECIMAL)
CREATE TABLE competition (competition_id DECIMAL, year DECIMAL, competition_type TEXT, country TEXT)
|
What are the types of every competition and in which countries are they located?
|
SELECT competition_type, country FROM competition
|
SELECT "competition_type", "country" FROM "competition"
| 0.053711 |
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
|
i would like an early morning flight on 6 1 from CHICAGO into SEATTLE on CO
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE (((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SEATTLE' AND date_day.day_number = 1 AND date_day.month_number = 6 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'CHICAGO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.airline_code = 'CO') AND flight.departure_time BETWEEN 0 AND 800
|
SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 1 AND "date_day"."month_number" = 6 AND "date_day"."year" = 1991 JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'CHICAGO' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND "flight"."airline_code" = 'CO' AND "flight"."departure_time" <= 800 AND "flight"."departure_time" >= 0 JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SEATTLE'
| 0.808594 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
|
count the number of people diagnosed with intracranial injury - with intracerebral hemorrhage in the same hospital encounter after they had been diagnosed with hypoxemia in the last year.
|
SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'intracranial injury - with intracerebral hemorrhage' AND DATETIME(diagnosis.diagnosistime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t1 JOIN (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'hypoxemia' AND DATETIME(diagnosis.diagnosistime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t2 WHERE t1.diagnosistime < t2.diagnosistime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid
|
WITH "t2" AS (SELECT "diagnosis"."diagnosistime", "patient"."patienthealthsystemstayid" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'hypoxemia' AND DATETIME("diagnosis"."diagnosistime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" AS "t2" ON "diagnosis"."diagnosistime" < "t2"."diagnosistime" AND "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" WHERE "diagnosis"."diagnosisname" = 'intracranial injury - with intracerebral hemorrhage' AND DATETIME("diagnosis"."diagnosistime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')
| 0.826172 |
CREATE TABLE table_16653 ("Season" TEXT, "Group A Winner" TEXT, "Group B Winner" TEXT, "Group C Winner" TEXT, "Group D Winner" TEXT)
|
What is the group a winner for modena?
|
SELECT "Group A Winner" FROM table_16653 WHERE "Group B Winner" = 'Modena'
|
SELECT "Group A Winner" FROM "table_16653" WHERE "Group B Winner" = 'Modena'
| 0.074219 |
CREATE TABLE table_name_88 (democrat VARCHAR, lead_margin VARCHAR)
|
What is Democrat: Carl Levin, when Lead Margin is 22?
|
SELECT democrat AS :_carl_levin FROM table_name_88 WHERE lead_margin = 22
|
SELECT "democrat" AS :_carl_levin FROM "table_name_88" WHERE "lead_margin" = 22
| 0.077148 |
CREATE TABLE table_name_7 (year INT, time VARCHAR)
|
When was the time of 12:49:08 first set?
|
SELECT MIN(year) FROM table_name_7 WHERE time = "12:49:08"
|
SELECT MIN("year") FROM "table_name_7" WHERE "12:49:08" = "time"
| 0.0625 |
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
|
Name the classes that need to be taken before RACKHAM 571 .
|
SELECT DISTINCT COURSE_0.department, COURSE_0.name, COURSE_0.number FROM course AS COURSE_0, course AS COURSE_1, course_prerequisite WHERE COURSE_0.course_id = course_prerequisite.pre_course_id AND NOT COURSE_0.course_id IN (SELECT STUDENT_RECORDalias0.course_id FROM student_record AS STUDENT_RECORDalias0 WHERE STUDENT_RECORDalias0.student_id = 1) AND COURSE_1.course_id = course_prerequisite.course_id AND COURSE_1.department = 'RACKHAM' AND COURSE_1.number = 571
|
WITH "_u_0" AS (SELECT "STUDENT_RECORDalias0"."course_id" FROM "student_record" AS "STUDENT_RECORDalias0" WHERE "STUDENT_RECORDalias0"."student_id" = 1 GROUP BY "course_id") SELECT DISTINCT "COURSE_0"."department", "COURSE_0"."name", "COURSE_0"."number" FROM "course" AS "COURSE_0" LEFT JOIN "_u_0" AS "_u_0" ON "COURSE_0"."course_id" = "_u_0"."" JOIN "course_prerequisite" ON "COURSE_0"."course_id" = "course_prerequisite"."pre_course_id" JOIN "course" AS "COURSE_1" ON "COURSE_1"."course_id" = "course_prerequisite"."course_id" AND "COURSE_1"."department" = 'RACKHAM' AND "COURSE_1"."number" = 571 WHERE "_u_0"."" IS NULL
| 0.608398 |
CREATE TABLE table_13937 ("Pick" FLOAT, "Player" TEXT, "Team" TEXT, "Position" TEXT, "School" TEXT)
|
What is the total number pick for seattle mariners team?
|
SELECT COUNT("Pick") FROM table_13937 WHERE "Team" = 'seattle mariners'
|
SELECT COUNT("Pick") FROM "table_13937" WHERE "Team" = 'seattle mariners'
| 0.071289 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
|
count the number of patients whose diagnoses short title is hx of bladder malignancy and drug type is additive?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Hx of bladder malignancy" AND prescriptions.drug_type = "ADDITIVE"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Hx of bladder malignancy" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "ADDITIVE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id"
| 0.308594 |
CREATE TABLE player (player_id TEXT, birth_year TEXT, birth_month TEXT, birth_day TEXT, birth_country TEXT, birth_state TEXT, birth_city TEXT, death_year TEXT, death_month TEXT, death_day TEXT, death_country TEXT, death_state TEXT, death_city TEXT, name_first TEXT, name_last TEXT, name_given TEXT, weight TEXT)
CREATE TABLE player_award_vote (award_id TEXT, year DECIMAL, league_id TEXT, player_id TEXT, points_won DECIMAL, points_max DECIMAL, votes_first TEXT)
CREATE TABLE salary (year DECIMAL, team_id TEXT, league_id TEXT, player_id TEXT, salary DECIMAL)
CREATE TABLE hall_of_fame (player_id TEXT, yearid DECIMAL, votedby TEXT, ballots TEXT, needed TEXT, votes TEXT, inducted TEXT, category TEXT, needed_note TEXT)
CREATE TABLE player_award (player_id TEXT, award_id TEXT, year DECIMAL, league_id TEXT, tie TEXT, notes TEXT)
|
Which states have produced the largest number of candidates inducted into the hall of fame?
|
SELECT T2.birth_state FROM player AS T2 JOIN hall_of_fame AS T1 ON T1.player_id = T2.player_id WHERE inducted = "Y" GROUP BY T2.birth_state ORDER BY COUNT(T1.player_id) DESC LIMIT 1
|
SELECT "T2"."birth_state" FROM "player" AS "T2" JOIN "hall_of_fame" AS "T1" ON "T1"."player_id" = "T2"."player_id" WHERE "Y" = "inducted" GROUP BY "T2"."birth_state" ORDER BY COUNT("T1"."player_id") DESC NULLS LAST LIMIT 1
| 0.216797 |
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
|
show all flights and fares from PITTSBURGH to SAN FRANCISCO
|
SELECT DISTINCT fare.fare_id, flight.airline_code, flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
|
SELECT DISTINCT "fare"."fare_id", "flight"."airline_code", "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PITTSBURGH' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id"
| 0.670898 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
what is the number of patients whose admission year is less than 2111 and lab test fluid is ascites?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2111" AND lab.fluid = "Ascites"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Ascites" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2111" > "demographic"."admityear"
| 0.19043 |
CREATE TABLE table_name_54 (director VARCHAR, role VARCHAR)
|
Who directed the movie when John Wayne played the role of John Travers?
|
SELECT director FROM table_name_54 WHERE role = "john travers"
|
SELECT "director" FROM "table_name_54" WHERE "john travers" = "role"
| 0.066406 |
CREATE TABLE table_name_60 (country VARCHAR, score VARCHAR)
|
Which country scored 66-68=134?
|
SELECT country FROM table_name_60 WHERE score = 66 - 68 = 134
|
SELECT "country" FROM "table_name_60" WHERE "score" = FALSE
| 0.057617 |
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
|
since 207 days ago, list the daily maximum heartrate of patient 007-15837.
|
SELECT MAX(vitalperiodic.heartrate) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '007-15837')) AND NOT vitalperiodic.heartrate IS NULL AND DATETIME(vitalperiodic.observationtime) >= DATETIME(CURRENT_TIME(), '-207 day') GROUP BY STRFTIME('%y-%m-%d', vitalperiodic.observationtime)
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '007-15837' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT MAX("vitalperiodic"."heartrate") FROM "vitalperiodic" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE DATETIME("vitalperiodic"."observationtime") >= DATETIME(CURRENT_TIME(), '-207 day') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."heartrate" IS NULL GROUP BY STRFTIME('%y-%m-%d', "vitalperiodic"."observationtime")
| 0.704102 |
CREATE TABLE course (crs_code TEXT, dept_code TEXT, crs_description TEXT, crs_credit DECIMAL)
CREATE TABLE department (dept_code TEXT, dept_name TEXT, school_code TEXT, emp_num DECIMAL, dept_address TEXT, dept_extension TEXT)
CREATE TABLE student (stu_num DECIMAL, stu_lname TEXT, stu_fname TEXT, stu_init TEXT, stu_dob TIME, stu_hrs DECIMAL, stu_class TEXT, stu_gpa DECIMAL, stu_transfer DECIMAL, dept_code TEXT, stu_phone TEXT, prof_num DECIMAL)
CREATE TABLE class (class_code TEXT, crs_code TEXT, class_section TEXT, class_time TEXT, class_room TEXT, prof_num DECIMAL)
CREATE TABLE employee (emp_num DECIMAL, emp_lname TEXT, emp_fname TEXT, emp_initial TEXT, emp_jobcode TEXT, emp_hiredate TIME, emp_dob TIME)
CREATE TABLE enroll (class_code TEXT, stu_num DECIMAL, enroll_grade TEXT)
CREATE TABLE professor (emp_num DECIMAL, dept_code TEXT, prof_office TEXT, prof_extension TEXT, prof_high_degree TEXT)
|
Find names of all students who took some course and got A or C.
|
SELECT T1.stu_fname, T1.stu_lname FROM student AS T1 JOIN enroll AS T2 ON T1.stu_num = T2.stu_num WHERE T2.enroll_grade = 'C' OR T2.enroll_grade = 'A'
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SELECT "T1"."stu_fname", "T1"."stu_lname" FROM "student" AS "T1" JOIN "enroll" AS "T2" ON "T1"."stu_num" = "T2"."stu_num" AND ("T2"."enroll_grade" = 'A' OR "T2"."enroll_grade" = 'C')
| 0.177734 |
CREATE TABLE table_9795 ("Actor" TEXT, "Role" TEXT, "Status" TEXT, "Number Of Episodes" TEXT, "Notes" TEXT)
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What is Number Of Episodes, when Notes is 'Moved to run a farm with boyfriend Jake.'?
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SELECT "Number Of Episodes" FROM table_9795 WHERE "Notes" = 'moved to run a farm with boyfriend jake.'
|
SELECT "Number Of Episodes" FROM "table_9795" WHERE "Notes" = 'moved to run a farm with boyfriend jake.'
| 0.101563 |
CREATE TABLE table_20850527_1 (result VARCHAR, record VARCHAR)
|
How many wins or losses were there when the record was 3-0?
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SELECT COUNT(result) FROM table_20850527_1 WHERE record = "3-0"
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SELECT COUNT("result") FROM "table_20850527_1" WHERE "3-0" = "record"
| 0.067383 |
CREATE TABLE table_203_459 (id DECIMAL, "township" TEXT, "fips" DECIMAL, "population\ center" TEXT, "population" DECIMAL, "population\ density\ /km2 ( /sq mi ) " TEXT, "land area\ km2 ( sq mi ) " TEXT, "water area\ km2 ( sq mi ) " TEXT, "water %" TEXT, "geographic coordinates" TEXT)
|
the town with the largest population desnsity
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SELECT "township" FROM table_203_459 ORDER BY "population\ndensity\n/km2 (/sq mi)" DESC LIMIT 1
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SELECT "township" FROM "table_203_459" ORDER BY "population\ndensity\n/km2 (/sq mi)" DESC NULLS LAST LIMIT 1
| 0.105469 |
CREATE TABLE table_8877 ("Rider" TEXT, "Manufacturer" TEXT, "Laps" FLOAT, "Time" TEXT, "Grid" FLOAT)
|
Total number of laps at a time of +56.977?
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SELECT COUNT("Laps") FROM table_8877 WHERE "Time" = '+56.977'
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SELECT COUNT("Laps") FROM "table_8877" WHERE "Time" = '+56.977'
| 0.061523 |
CREATE TABLE table_1341472_49 (first_elected INT, district VARCHAR)
|
what being the minimum first elected with district being washington 7
|
SELECT MIN(first_elected) FROM table_1341472_49 WHERE district = "Washington 7"
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SELECT MIN("first_elected") FROM "table_1341472_49" WHERE "Washington 7" = "district"
| 0.083008 |
CREATE TABLE table_name_88 (score_in_the_final VARCHAR, surface VARCHAR, date VARCHAR)
|
What is the score in the final of the tournament with a clay surface on 18 April 2011?
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SELECT score_in_the_final FROM table_name_88 WHERE surface = "clay" AND date = "18 april 2011"
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SELECT "score_in_the_final" FROM "table_name_88" WHERE "18 april 2011" = "date" AND "clay" = "surface"
| 0.099609 |
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
|
how many patients were diagnosed with valve replacement < 7days - tricuspid within 2 months after they were first diagnosed with lower urinary tract infection - with foley catheter, since 5 years ago?
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SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'valve replacement < 7days - tricuspid' AND DATETIME(diagnosis.diagnosistime) >= DATETIME(CURRENT_TIME(), '-5 year')) AS t1 JOIN (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'lower urinary tract infection - with foley catheter' AND DATETIME(diagnosis.diagnosistime) >= DATETIME(CURRENT_TIME(), '-5 year')) AS t2 WHERE t1.diagnosistime < t2.diagnosistime AND DATETIME(t2.diagnosistime) BETWEEN DATETIME(t1.diagnosistime) AND DATETIME(t1.diagnosistime, '+2 month')
|
SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "diagnosis" AS "diagnosis_2" ON "diagnosis"."diagnosistime" < "diagnosis_2"."diagnosistime" AND "diagnosis_2"."diagnosisname" = 'lower urinary tract infection - with foley catheter' AND DATETIME("diagnosis"."diagnosistime") <= DATETIME("diagnosis_2"."diagnosistime") AND DATETIME("diagnosis"."diagnosistime", '+2 month') >= DATETIME("diagnosis_2"."diagnosistime") AND DATETIME("diagnosis_2"."diagnosistime") >= DATETIME(CURRENT_TIME(), '-5 year') JOIN "patient" AS "patient_2" ON "diagnosis_2"."patientunitstayid" = "patient_2"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'valve replacement < 7days - tricuspid' AND DATETIME("diagnosis"."diagnosistime") >= DATETIME(CURRENT_TIME(), '-5 year')
| 0.833008 |
CREATE TABLE Projects (Code CHAR, Name CHAR, Hours INT)
CREATE TABLE AssignedTo (Scientist INT, Project CHAR)
CREATE TABLE Scientists (SSN INT, Name CHAR)
|
what are the names of projects that require more than 300 hours, and how many scientists are assigned to each?, could you show in ascending by the x-axis?
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SELECT Name, COUNT(*) FROM Projects AS T1 JOIN AssignedTo AS T2 ON T1.Code = T2.Project WHERE T1.Hours > 300 GROUP BY T1.Name ORDER BY Name
|
SELECT "Name", COUNT(*) FROM "Projects" AS "T1" JOIN "AssignedTo" AS "T2" ON "T1"."Code" = "T2"."Project" WHERE "T1"."Hours" > 300 GROUP BY "T1"."Name" ORDER BY "Name" NULLS FIRST
| 0.174805 |
CREATE TABLE table_name_50 (valid_poll INT, constituency VARCHAR)
|
Name the least valid poll for munster
|
SELECT MIN(valid_poll) FROM table_name_50 WHERE constituency = "munster"
|
SELECT MIN("valid_poll") FROM "table_name_50" WHERE "constituency" = "munster"
| 0.076172 |
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
|
Average Score for Questions and Answers by Month Since 2008.
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SELECT TIME_TO_STR(Posts.CreationDate, '%Y') AS Year, TIME_TO_STR(Posts.CreationDate, '%m') AS Month, SUM(Score) AS SUM_SCORE, COUNT(*) AS COUNT_SCORE, AVG(CAST(Score AS FLOAT(12, 2))) AS AVG_SCORE, SUM(CASE WHEN PostTypeId < 3 THEN 1 ELSE 0 END) AS QnA FROM Posts WHERE PostTypeId < 3 GROUP BY TIME_TO_STR(Posts.CreationDate, '%Y'), TIME_TO_STR(Posts.CreationDate, '%m') HAVING TIME_TO_STR(Posts.CreationDate, '%Y') >= 2008 ORDER BY Year, Month
|
SELECT TO_CHAR(CAST("Posts"."CreationDate" AS TIMESTAMPNTZ), 'yyyy') AS "Year", TO_CHAR(CAST("Posts"."CreationDate" AS TIMESTAMPNTZ), 'mm') AS "Month", SUM("Score") AS "SUM_SCORE", COUNT(*) AS "COUNT_SCORE", AVG(CAST("Score" AS FLOAT(12, 2))) AS "AVG_SCORE", SUM(CASE WHEN "PostTypeId" < 3 THEN 1 ELSE 0 END) AS "QnA" FROM "Posts" WHERE "PostTypeId" < 3 GROUP BY TO_CHAR(CAST("Posts"."CreationDate" AS TIMESTAMPNTZ), 'yyyy'), TO_CHAR(CAST("Posts"."CreationDate" AS TIMESTAMPNTZ), 'mm') HAVING TO_CHAR(CAST("Posts"."CreationDate" AS TIMESTAMPNTZ), 'yyyy') >= 2008 ORDER BY "Year" NULLS FIRST, "Month" NULLS FIRST
| 0.59668 |
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
when did first patient 2238 have the minimum value of fibrinogen, functional in 04/last year?
|
SELECT labevents.charttime FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 2238) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'fibrinogen, functional') AND DATETIME(labevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', labevents.charttime) = '04' ORDER BY labevents.valuenum, labevents.charttime LIMIT 1
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 2238 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'fibrinogen, functional' GROUP BY "itemid") SELECT "labevents"."charttime" FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE DATETIME("labevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL AND STRFTIME('%m', "labevents"."charttime") = '04' ORDER BY "labevents"."valuenum" NULLS FIRST, "labevents"."charttime" NULLS FIRST LIMIT 1
| 0.71582 |
CREATE TABLE status (station_id DECIMAL, bikes_available DECIMAL, docks_available DECIMAL, time TEXT)
CREATE TABLE trip (id DECIMAL, duration DECIMAL, start_date TEXT, start_station_name TEXT, start_station_id DECIMAL, end_date TEXT, end_station_name TEXT, end_station_id DECIMAL, bike_id DECIMAL, subscription_type TEXT, zip_code DECIMAL)
CREATE TABLE station (id DECIMAL, name TEXT, lat DECIMAL, long DECIMAL, dock_count DECIMAL, city TEXT, installation_date TEXT)
CREATE TABLE weather (date TEXT, max_temperature_f DECIMAL, mean_temperature_f DECIMAL, min_temperature_f DECIMAL, max_dew_point_f DECIMAL, mean_dew_point_f DECIMAL, min_dew_point_f DECIMAL, max_humidity DECIMAL, mean_humidity DECIMAL, min_humidity DECIMAL, max_sea_level_pressure_inches DECIMAL, mean_sea_level_pressure_inches DECIMAL, min_sea_level_pressure_inches DECIMAL, max_visibility_miles DECIMAL, mean_visibility_miles DECIMAL, min_visibility_miles DECIMAL, max_wind_speed_mph DECIMAL, mean_wind_speed_mph DECIMAL, max_gust_speed_mph DECIMAL, precipitation_inches DECIMAL, cloud_cover DECIMAL, events TEXT, wind_dir_degrees DECIMAL, zip_code DECIMAL)
|
What are the ids of stations that have latitude above 37.4 and never had bike availability below 7?
|
SELECT id FROM station WHERE lat > 37.4 EXCEPT SELECT station_id FROM status GROUP BY station_id HAVING MIN(bikes_available) < 7
|
SELECT "id" FROM "station" WHERE "lat" > 37.4 EXCEPT SELECT "station_id" FROM "status" GROUP BY "station_id" HAVING MIN("bikes_available") < 7
| 0.138672 |
CREATE TABLE table_test_26 ("id" INT, "bleeding" INT, "left_ventricular_ejection_fraction_lvef" INT, "left_main_coronary_artery_disease" BOOLEAN, "uncontrolled_diabetes" BOOLEAN, "hiv_infection" BOOLEAN, "hemoglobin_a1c_hba1c" FLOAT, "hepatitis_b_infection" BOOLEAN, "renal_disease" BOOLEAN, "unprotected_left_main_disease" BOOLEAN, "creatinine_clearance_cl" FLOAT, "stenosis" INT, "hepatitis_c_infection" BOOLEAN, "alcohol_abuse" BOOLEAN, "body_mass_index_bmi" FLOAT, "NOUSE" FLOAT)
|
a history of human immunodeficiency virus ( hiv ) or hepatitis b or c infection
|
SELECT * FROM table_test_26 WHERE hiv_infection = 1 OR hepatitis_b_infection = 1 OR hepatitis_c_infection = 1
|
SELECT * FROM "table_test_26" WHERE "hepatitis_b_infection" = 1 OR "hepatitis_c_infection" = 1 OR "hiv_infection" = 1
| 0.114258 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
|
how many patients are with single marital status and tested for lipase in lab?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "SINGLE" AND lab.label = "Lipase"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Lipase" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "SINGLE" = "demographic"."marital_status"
| 0.196289 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
|
what is the number of patients whose admission location is emergency room admit and procedure short title is coronar arteriogr-1 cath?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "EMERGENCY ROOM ADMIT" AND procedures.short_title = "Coronar arteriogr-1 cath"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Coronar arteriogr-1 cath" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "EMERGENCY ROOM ADMIT" = "demographic"."admission_location"
| 0.257813 |
CREATE TABLE table_32706 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Record" TEXT, "Attendance" TEXT)
|
Which opponent had an attendance of 40,070?
|
SELECT "Opponent" FROM table_32706 WHERE "Attendance" = '40,070'
|
SELECT "Opponent" FROM "table_32706" WHERE "Attendance" = '40,070'
| 0.064453 |
CREATE TABLE table_name_65 (away_team VARCHAR)
|
What did carlton score while away?
|
SELECT away_team AS score FROM table_name_65 WHERE away_team = "carlton"
|
SELECT "away_team" AS "score" FROM "table_name_65" WHERE "away_team" = "carlton"
| 0.078125 |
CREATE TABLE table_name_90 (record VARCHAR, nfl_recap VARCHAR, opponent VARCHAR)
|
What is the record for the game against the New England Patriots with a recap?
|
SELECT record FROM table_name_90 WHERE nfl_recap = "recap" AND opponent = "new england patriots"
|
SELECT "record" FROM "table_name_90" WHERE "new england patriots" = "opponent" AND "nfl_recap" = "recap"
| 0.101563 |
CREATE TABLE table_55968 ("Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
|
Who has the high assists when location attendance is 20,562?
|
SELECT "High assists" FROM table_55968 WHERE "Location Attendance" = '20,562'
|
SELECT "High assists" FROM "table_55968" WHERE "Location Attendance" = '20,562'
| 0.077148 |
CREATE TABLE injury_accident (game_id INT, id INT, Player TEXT, Injury TEXT, Number_of_matches TEXT, Source TEXT)
CREATE TABLE stadium (id INT, name TEXT, Home_Games INT, Average_Attendance FLOAT, Total_Attendance FLOAT, Capacity_Percentage FLOAT)
CREATE TABLE game (stadium_id INT, id INT, Season INT, Date TEXT, Home_team TEXT, Away_team TEXT, Score TEXT, Competition TEXT)
|
Show the number of games for each home team in a bar chart.
|
SELECT Home_team, COUNT(Home_team) FROM game GROUP BY Home_team
|
SELECT "Home_team", COUNT("Home_team") FROM "game" GROUP BY "Home_team"
| 0.069336 |
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
|
has patient 25628 received a albumin lab in 01/this year?
|
SELECT COUNT(*) > 0 FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'albumin') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 25628) AND DATETIME(labevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m', labevents.charttime) = '01'
|
WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'albumin' GROUP BY "itemid"), "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 25628 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."itemid" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "labevents"."hadm_id" WHERE DATETIME("labevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL AND STRFTIME('%m', "labevents"."charttime") = '01'
| 0.604492 |
CREATE TABLE table_68991 ("Year" FLOAT, "Entrant" TEXT, "Chassis" TEXT, "Engine" TEXT, "Points" FLOAT)
|
What is the most points when the chassis was Jaguar R3 later than 2002?
|
SELECT MAX("Points") FROM table_68991 WHERE "Chassis" = 'jaguar r3' AND "Year" > '2002'
|
SELECT MAX("Points") FROM "table_68991" WHERE "Chassis" = 'jaguar r3' AND "Year" > '2002'
| 0.086914 |
CREATE TABLE table_17996 ("Season" FLOAT, "Season Premiere Date" TEXT, "Season Finale Date" TEXT, "Winner" TEXT, "1st Runner Up" TEXT, "2nd Runner Up" TEXT)
|
When did the season of gurmeet choudhary premiere?
|
SELECT "Season Premiere Date" FROM table_17996 WHERE "Winner" = 'Gurmeet Choudhary'
|
SELECT "Season Premiere Date" FROM "table_17996" WHERE "Winner" = 'Gurmeet Choudhary'
| 0.083008 |
CREATE TABLE table_17921 ("Position" FLOAT, "Club" TEXT, "Played" FLOAT, "Won" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Pts For" FLOAT, "Pts Agst" FLOAT, "B.P." FLOAT, "Points" FLOAT)
|
Name the most points for
|
SELECT MIN("Pts For") FROM table_17921
|
SELECT MIN("Pts For") FROM "table_17921"
| 0.039063 |
CREATE TABLE table_26940 ("Name" TEXT, "Position" TEXT, "Period" TEXT, "Appearances\\u00b9" FLOAT, "Goals\\u00b9" FLOAT, "Nationality\\u00b2" TEXT)
|
Name the period for michel llodra
|
SELECT "Period" FROM table_26940 WHERE "Name" = 'Michel Llodra'
|
SELECT "Period" FROM "table_26940" WHERE "Name" = 'Michel Llodra'
| 0.063477 |
CREATE TABLE table_74129 ("Game" FLOAT, "November" FLOAT, "Opponent" TEXT, "Score" TEXT, "Location/Attendance" TEXT, "Record" TEXT, "Points" FLOAT)
|
What is the highest entry in November for the game 20?
|
SELECT MAX("November") FROM table_74129 WHERE "Game" = '20'
|
SELECT MAX("November") FROM "table_74129" WHERE "Game" = '20'
| 0.05957 |
CREATE TABLE table_19091 ("Season" FLOAT, "Race Name" TEXT, "Winning Driver" TEXT, "Chassis" TEXT, "Engine" TEXT, "Tires" TEXT, "Team" TEXT)
|
What kind of chassis did a winning car with a Foyt engine have in 1979?
|
SELECT "Chassis" FROM table_19091 WHERE "Season" = '1979' AND "Engine" = 'Foyt'
|
SELECT "Chassis" FROM "table_19091" WHERE "Engine" = 'Foyt' AND "Season" = '1979'
| 0.079102 |
CREATE TABLE Customers (customer_id INT, customer_type_code VARCHAR, address_line_1 VARCHAR, address_line_2 VARCHAR, town_city VARCHAR, state VARCHAR, email_address VARCHAR, phone_number VARCHAR)
CREATE TABLE Complaints (complaint_id INT, product_id INT, customer_id INT, complaint_outcome_code VARCHAR, complaint_status_code VARCHAR, complaint_type_code VARCHAR, date_complaint_raised DATETIME, date_complaint_closed DATETIME, staff_id INT)
CREATE TABLE Staff (staff_id INT, gender VARCHAR, first_name VARCHAR, last_name VARCHAR, email_address VARCHAR, phone_number VARCHAR)
CREATE TABLE Products (product_id INT, parent_product_id INT, product_category_code VARCHAR, date_product_first_available DATETIME, date_product_discontinued DATETIME, product_name VARCHAR, product_description VARCHAR, product_price DECIMAL)
|
Return the average price of products that have each category code in a bar chart, sort in ascending by the names.
|
SELECT product_category_code, AVG(product_price) FROM Products GROUP BY product_category_code ORDER BY product_category_code
|
SELECT "product_category_code", AVG("product_price") FROM "Products" GROUP BY "product_category_code" ORDER BY "product_category_code" NULLS FIRST
| 0.142578 |
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
|
Does 487 include any lab ?
|
SELECT COUNT(*) > 0 FROM course WHERE department = 'EECS' AND has_lab = 'Y' AND number = 487
|
SELECT COUNT(*) > 0 FROM "course" WHERE "department" = 'EECS' AND "has_lab" = 'Y' AND "number" = 487
| 0.097656 |
CREATE TABLE table_59230 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Results" TEXT)
|
What is District, when Incumbent is 'Richard Neal'?
|
SELECT "District" FROM table_59230 WHERE "Incumbent" = 'richard neal'
|
SELECT "District" FROM "table_59230" WHERE "Incumbent" = 'richard neal'
| 0.069336 |
CREATE TABLE table_33840 ("Game" FLOAT, "December" FLOAT, "Opponent" TEXT, "Score" TEXT, "Record" TEXT)
|
December larger than 21, and a Opponent of Pittsburgh penguins had what average game?
|
SELECT AVG("Game") FROM table_33840 WHERE "December" > '21' AND "Opponent" = 'pittsburgh penguins'
|
SELECT AVG("Game") FROM "table_33840" WHERE "December" > '21' AND "Opponent" = 'pittsburgh penguins'
| 0.097656 |
CREATE TABLE table_30055 ("Outcome" TEXT, "Edition" TEXT, "Opponent Team" TEXT, "Surface" TEXT, "Opponent" TEXT, "Score" TEXT)
|
For score 7 6 (7 3) , 6 4 please mention total number of outcome
|
SELECT COUNT("Outcome") FROM table_30055 WHERE "Score" = '7–6 (7–3) , 6–4'
|
SELECT COUNT("Outcome") FROM "table_30055" WHERE "Score" = '7–6 (7–3) , 6–4'
| 0.074219 |
CREATE TABLE Department_Stores (dept_store_id INT, dept_store_chain_id INT, store_name VARCHAR, store_address VARCHAR, store_phone VARCHAR, store_email VARCHAR)
CREATE TABLE Departments (department_id INT, dept_store_id INT, department_name VARCHAR)
CREATE TABLE Customer_Orders (order_id INT, customer_id INT, order_status_code VARCHAR, order_date DATETIME)
CREATE TABLE Department_Store_Chain (dept_store_chain_id INT, dept_store_chain_name VARCHAR)
CREATE TABLE Addresses (address_id INT, address_details VARCHAR)
CREATE TABLE Staff (staff_id INT, staff_gender VARCHAR, staff_name VARCHAR)
CREATE TABLE Customer_Addresses (customer_id INT, address_id INT, date_from DATETIME, date_to DATETIME)
CREATE TABLE Suppliers (supplier_id INT, supplier_name VARCHAR, supplier_phone VARCHAR)
CREATE TABLE Staff_Department_Assignments (staff_id INT, department_id INT, date_assigned_from DATETIME, job_title_code VARCHAR, date_assigned_to DATETIME)
CREATE TABLE Order_Items (order_item_id INT, order_id INT, product_id INT)
CREATE TABLE Customers (customer_id INT, payment_method_code VARCHAR, customer_code VARCHAR, customer_name VARCHAR, customer_address VARCHAR, customer_phone VARCHAR, customer_email VARCHAR)
CREATE TABLE Product_Suppliers (product_id INT, supplier_id INT, date_supplied_from DATETIME, date_supplied_to DATETIME, total_amount_purchased VARCHAR, total_value_purchased DECIMAL)
CREATE TABLE Supplier_Addresses (supplier_id INT, address_id INT, date_from DATETIME, date_to DATETIME)
CREATE TABLE Products (product_id INT, product_type_code VARCHAR, product_name VARCHAR, product_price DECIMAL)
|
Show the price of each product supplied by supplier id 3 in a bar chart.
|
SELECT product_name, product_price FROM Product_Suppliers AS T1 JOIN Products AS T2 ON T1.product_id = T2.product_id WHERE T1.supplier_id = 3
|
SELECT "product_name", "product_price" FROM "Product_Suppliers" AS "T1" JOIN "Products" AS "T2" ON "T1"."product_id" = "T2"."product_id" WHERE "T1"."supplier_id" = 3
| 0.161133 |
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
|
For EECS 481 , what is the workload like ?
|
SELECT DISTINCT program_course.workload FROM course, program_course WHERE course.department = 'EECS' AND course.number = 481 AND program_course.course_id = course.course_id
|
SELECT DISTINCT "program_course"."workload" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" WHERE "course"."department" = 'EECS' AND "course"."number" = 481
| 0.194336 |
CREATE TABLE table_train_233 ("id" INT, "serum_bicarbonate" INT, "language" TEXT, "hemoglobin_a1c_hba1c" FLOAT, "creatinine_clearance_cl" FLOAT, "admission_blood_glucose" INT, "urine_albumin" INT, "ketoacidosis" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
|
subjects must have an admission blood glucose > 140 mg and < 400 mg / dl and no evidence of ketoacidosis ( serum bicarbonate < 18 meq / l
|
SELECT * FROM table_train_233 WHERE admission_blood_glucose > 140 AND admission_blood_glucose < 400 AND (ketoacidosis = 0 OR serum_bicarbonate > 18)
|
SELECT * FROM "table_train_233" WHERE "admission_blood_glucose" < 400 AND "admission_blood_glucose" > 140 AND ("ketoacidosis" = 0 OR "serum_bicarbonate" > 18)
| 0.154297 |
CREATE TABLE Voting_record (StuID INT, Registration_Date VARCHAR, Election_Cycle VARCHAR, President_Vote INT, Vice_President_Vote INT, Secretary_Vote INT, Treasurer_Vote INT, Class_President_Vote INT, Class_Senator_Vote INT)
CREATE TABLE Student (StuID INT, LName VARCHAR, Fname VARCHAR, Age INT, Sex VARCHAR, Major INT, Advisor INT, city_code VARCHAR)
|
Scatter plot to show advisor on x axis and the total number on y axis.
|
SELECT Advisor, COUNT(*) FROM Student GROUP BY Advisor
|
SELECT "Advisor", COUNT(*) FROM "Student" GROUP BY "Advisor"
| 0.058594 |
CREATE TABLE table_17621978_11 (high_rebounds VARCHAR, date VARCHAR)
|
Name the number of high rebounds for april 21
|
SELECT COUNT(high_rebounds) FROM table_17621978_11 WHERE date = "April 21"
|
SELECT COUNT("high_rebounds") FROM "table_17621978_11" WHERE "April 21" = "date"
| 0.078125 |
CREATE TABLE review (a_id INT, u_id INT, i_id INT, rating INT, rank INT)
CREATE TABLE useracct (u_id INT, name VARCHAR)
CREATE TABLE trust (source_u_id INT, target_u_id INT, trust INT)
CREATE TABLE item (i_id INT, title VARCHAR)
|
Find each target user's name and average trust score Visualize by bar chart, I want to show by the x axis in ascending.
|
SELECT name, AVG(trust) FROM useracct AS T1 JOIN trust AS T2 ON T1.u_id = T2.target_u_id GROUP BY T2.target_u_id ORDER BY name
|
SELECT "name", AVG("trust") FROM "useracct" AS "T1" JOIN "trust" AS "T2" ON "T1"."u_id" = "T2"."target_u_id" GROUP BY "T2"."target_u_id" ORDER BY "name" NULLS FIRST
| 0.160156 |
CREATE TABLE table_54700 ("Sail" TEXT, "Yacht" TEXT, "Syndicate" TEXT, "Yacht Club" TEXT, "Nation" TEXT)
|
Which Nation has the USA-18 sail?
|
SELECT "Nation" FROM table_54700 WHERE "Sail" = 'usa-18'
|
SELECT "Nation" FROM "table_54700" WHERE "Sail" = 'usa-18'
| 0.056641 |
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
|
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, a bar chart shows the distribution of hire_date and the sum of department_id bin hire_date by weekday, and list by the Y-axis in descending.
|
SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY SUM(DEPARTMENT_ID) DESC
|
SELECT "HIRE_DATE", SUM("DEPARTMENT_ID") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) ORDER BY SUM("DEPARTMENT_ID") DESC NULLS LAST
| 0.253906 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
count the number of patients who have stayed in the hospital for more than 27 days and done the lab test albumin, body fluid.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "27" AND lab.label = "Albumin, Body Fluid"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Albumin, Body Fluid" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "27" < "demographic"."days_stay"
| 0.200195 |
CREATE TABLE table_name_36 (goals_scored INT, place VARCHAR, lost VARCHAR)
|
Name the least goals scored with place more than 8 and lost less than 8
|
SELECT MIN(goals_scored) FROM table_name_36 WHERE place > 8 AND lost < 8
|
SELECT MIN("goals_scored") FROM "table_name_36" WHERE "lost" < 8 AND "place" > 8
| 0.078125 |
CREATE TABLE table_43503 ("Tournament" TEXT, "1978" TEXT, "1979" TEXT, "1980" TEXT, "1982" TEXT, "1983" TEXT, "1984" TEXT, "1985" TEXT, "1986" TEXT, "1987" TEXT, "1988" TEXT, "1989" TEXT, "1990" TEXT, "1991" TEXT, "1992" TEXT, "Career SR" TEXT)
|
What is 1986, when 1978 is 'A', when 1979 is 'A', and when 1980 is '1R'?
|
SELECT "1986" FROM table_43503 WHERE "1978" = 'a' AND "1979" = 'a' AND "1980" = '1r'
|
SELECT "1986" FROM "table_43503" WHERE "1978" = 'a' AND "1979" = 'a' AND "1980" = '1r'
| 0.083984 |
CREATE TABLE Sales (sales_transaction_id INT, sales_details VARCHAR)
CREATE TABLE Transactions (transaction_id INT, investor_id INT, transaction_type_code VARCHAR, date_of_transaction DATETIME, amount_of_transaction DECIMAL, share_count VARCHAR, other_details VARCHAR)
CREATE TABLE Transactions_Lots (transaction_id INT, lot_id INT)
CREATE TABLE Lots (lot_id INT, investor_id INT, lot_details VARCHAR)
CREATE TABLE Purchases (purchase_transaction_id INT, purchase_details VARCHAR)
CREATE TABLE Investors (investor_id INT, Investor_details VARCHAR)
CREATE TABLE Ref_Transaction_Types (transaction_type_code VARCHAR, transaction_type_description VARCHAR)
|
For the transaction dates if share count is smaller than 10, bin the dates into the year interval, and count them using a line chart, order X from low to high order.
|
SELECT date_of_transaction, COUNT(date_of_transaction) FROM Transactions WHERE share_count < 10 ORDER BY date_of_transaction
|
SELECT "date_of_transaction", COUNT("date_of_transaction") FROM "Transactions" WHERE "share_count" < 10 ORDER BY "date_of_transaction" NULLS FIRST
| 0.142578 |
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
|
i need information on flights from TORONTO to SAN DIEGO
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'TORONTO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN DIEGO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
|
SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'TORONTO' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN DIEGO'
| 0.496094 |
CREATE TABLE table_name_53 (last_10_meetings VARCHAR, overall_record VARCHAR)
|
What is the record for the last 10 meetings when the overall record is *as of March 14, 2013?
|
SELECT last_10_meetings FROM table_name_53 WHERE overall_record = "*as of march 14, 2013"
|
SELECT "last_10_meetings" FROM "table_name_53" WHERE "*as of march 14, 2013" = "overall_record"
| 0.092773 |
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
|
Most common mutual questioner - answerer pairs.
|
WITH Raw AS (SELECT Q.OwnerUserId AS QId, A.OwnerUserId AS AId, COUNT(*) AS Count FROM Posts AS Q, Posts AS A WHERE A.ParentId = Q.Id AND A.OwnerUserId > 0 AND Q.OwnerUserId > 0 AND A.OwnerUserId != Q.OwnerUserId AND Q.CommunityOwnedDate IS NULL AND A.CommunityOwnedDate IS NULL GROUP BY Q.OwnerUserId, A.OwnerUserId) SELECT Hin.QId AS "user_link", Hin.AId AS "user_link", Hin.Count AS HinCount, Her.Count AS HerCount FROM Raw AS Hin, Raw AS Her WHERE Hin.AId = Her.QId AND Hin.QId = Her.AId AND Hin.QId > Hin.AId ORDER BY CASE WHEN Hin.Count > Her.Count THEN Her.Count ELSE Hin.Count END DESC, Hin.QId, Hin.AId
|
WITH "Raw" AS (SELECT "Q"."OwnerUserId" AS "QId", "A"."OwnerUserId" AS "AId", COUNT(*) AS "Count" FROM "Posts" AS "Q" JOIN "Posts" AS "A" ON "A"."CommunityOwnedDate" IS NULL AND "A"."OwnerUserId" <> "Q"."OwnerUserId" AND "A"."OwnerUserId" > 0 AND "A"."ParentId" = "Q"."Id" WHERE "Q"."CommunityOwnedDate" IS NULL AND "Q"."OwnerUserId" > 0 GROUP BY "Q"."OwnerUserId", "A"."OwnerUserId") SELECT "Hin"."QId" AS "user_link", "Hin"."AId" AS "user_link", "Hin"."Count" AS "HinCount", "Her"."Count" AS "HerCount" FROM "Raw" AS "Hin" JOIN "Raw" AS "Her" ON "Her"."AId" = "Hin"."QId" AND "Her"."QId" = "Hin"."AId" WHERE "Hin"."AId" < "Hin"."QId" ORDER BY CASE WHEN "Her"."Count" < "Hin"."Count" THEN "Her"."Count" ELSE "Hin"."Count" END DESC NULLS LAST, "Hin"."QId" NULLS FIRST, "Hin"."AId" NULLS FIRST
| 0.773438 |
CREATE TABLE table_dev_52 ("id" INT, "anemia" BOOLEAN, "gender" TEXT, "prediabetes" BOOLEAN, "systolic_blood_pressure_sbp" INT, "metabolic_syndrome" BOOLEAN, "hemoglobin_a1c_hba1c" FLOAT, "dyslipidemia" BOOLEAN, "dsp" INT, "renal_disease" BOOLEAN, "hepatic_disease" BOOLEAN, "elevated_triglyceride" INT, "chronic_hematology_disorders" BOOLEAN, "ldl" INT, "serum_creatinine" FLOAT, "diagnosed_hypertension" BOOLEAN, "waist_circumference" INT, "triglyceride_tg" FLOAT, "low_hdl" INT, "fasting_glucose" INT, "NOUSE" FLOAT)
|
dyslipidemia, including triglycerides > 800 mg / dl and ldl > 200 mg / dl
|
SELECT * FROM table_dev_52 WHERE dyslipidemia = 1 OR (triglyceride_tg > 800 AND ldl > 200)
|
SELECT * FROM "table_dev_52" WHERE ("dyslipidemia" = 1 OR "ldl" > 200) AND ("dyslipidemia" = 1 OR "triglyceride_tg" > 800)
| 0.119141 |
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE area (course_id INT, area VARCHAR)
|
Next semester , what classes will Dr. James Grotberg teach ?
|
SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, instructor, offering_instructor, semester WHERE course.course_id = course_offering.course_id AND instructor.name LIKE '%James Grotberg%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id AND semester.semester = 'FA' AND semester.semester_id = course_offering.semester AND semester.year = 2016
|
SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'FA' AND "semester"."year" = 2016 JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%James Grotberg%'
| 0.52832 |
CREATE TABLE table_19017269_5 (asia VARCHAR, latin_america_caribbean VARCHAR)
|
what will the population of Asia be when Latin America/Caribbean is 783 (7.5%)?
|
SELECT asia FROM table_19017269_5 WHERE latin_america_caribbean = "783 (7.5%)"
|
SELECT "asia" FROM "table_19017269_5" WHERE "783 (7.5%)" = "latin_america_caribbean"
| 0.082031 |
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
|
show me the top five most common diagnoses for patients 30s of age until 1 year ago?
|
SELECT t1.diagnosisname FROM (SELECT diagnosis.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age BETWEEN 30 AND 39) AND DATETIME(diagnosis.diagnosistime) <= DATETIME(CURRENT_TIME(), '-1 year') GROUP BY diagnosis.diagnosisname) AS t1 WHERE t1.c1 <= 5
|
WITH "_u_0" AS (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."age" <= 39 AND "patient"."age" >= 30 GROUP BY "patientunitstayid"), "t1" AS (SELECT "diagnosis"."diagnosisname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnosis" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "diagnosis"."patientunitstayid" WHERE DATETIME("diagnosis"."diagnosistime") <= DATETIME(CURRENT_TIME(), '-1 year') AND NOT "_u_0"."" IS NULL GROUP BY "diagnosis"."diagnosisname") SELECT "t1"."diagnosisname" FROM "t1" AS "t1" WHERE "t1"."c1" <= 5
| 0.550781 |
CREATE TABLE table_name_72 (quantity INT, manufacturer VARCHAR, gwr_nos VARCHAR)
|
What is the lowest quantity for GWR Nos. 696, 779, 93 5 from the manufacturer Peckett and Sons?
|
SELECT MIN(quantity) FROM table_name_72 WHERE manufacturer = "peckett and sons" AND gwr_nos = "696, 779, 93 5"
|
SELECT MIN("quantity") FROM "table_name_72" WHERE "696, 779, 93 5" = "gwr_nos" AND "manufacturer" = "peckett and sons"
| 0.115234 |
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
|
Users with Tags Score.
|
SELECT DISTINCT u.Id AS "user_link", CONCAT('https://stackoverflow.com/users/', u.Id) AS "profile_link", u.DisplayName, 'Tag:' + t.TagName, SUM(a.Score) AS "tag_score", COUNT(*) AS "answer_count" FROM Users AS u INNER JOIN Posts AS a ON a.OwnerUserId = u.Id INNER JOIN Posts AS q ON a.ParentId = q.Id INNER JOIN PostTags AS pt ON pt.PostId = q.Id INNER JOIN Tags AS t ON t.Id = pt.TagId WHERE a.CommunityOwnedDate IS NULL AND UPPER(t.TagName) LIKE UPPER('%##TagName##%') AND UPPER(u.Location) LIKE UPPER('%##Location##%') GROUP BY u.Id, u.DisplayName, t.TagName HAVING SUM(a.Score) > COUNT(*) ORDER BY SUM(a.Score) DESC
|
SELECT DISTINCT "u"."Id" AS "user_link", CONCAT('https://stackoverflow.com/users/', "u"."Id") AS "profile_link", "u"."DisplayName", 'Tag:' + "t"."TagName", SUM("a"."Score") AS "tag_score", COUNT(*) AS "answer_count" FROM "Users" AS "u" JOIN "Posts" AS "a" ON "a"."CommunityOwnedDate" IS NULL AND "a"."OwnerUserId" = "u"."Id" JOIN "Posts" AS "q" ON "a"."ParentId" = "q"."Id" JOIN "PostTags" AS "pt" ON "pt"."PostId" = "q"."Id" JOIN "Tags" AS "t" ON "pt"."TagId" = "t"."Id" AND UPPER("t"."TagName") LIKE UPPER('%##TagName##%') WHERE UPPER("u"."Location") LIKE UPPER('%##Location##%') GROUP BY "u"."Id", "u"."DisplayName", "t"."TagName" HAVING COUNT(*) < SUM("a"."Score") ORDER BY SUM("a"."Score") DESC NULLS LAST
| 0.693359 |
CREATE TABLE table_name_17 (grid VARCHAR, laps INT)
|
What is the total grid number with laps that are larger than 27?
|
SELECT COUNT(grid) FROM table_name_17 WHERE laps > 27
|
SELECT COUNT("grid") FROM "table_name_17" WHERE "laps" > 27
| 0.057617 |
CREATE TABLE table_train_175 ("id" INT, "lipid_lowering_therapy" BOOLEAN, "hemoglobin_a1c_hba1c" FLOAT, "diabetic" TEXT, "fasting_serum_triglycerides" INT, "gilbert_syndrome" BOOLEAN, "age" FLOAT, "alanine_aminotransferase" BOOLEAN, "NOUSE" FLOAT)
|
type ii diabetes mellitus
|
SELECT * FROM table_train_175 WHERE diabetic = 'ii'
|
SELECT * FROM "table_train_175" WHERE "diabetic" = 'ii'
| 0.053711 |
CREATE TABLE table_31569 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Attendance" TEXT)
|
What was the score during week 16?
|
SELECT "Result" FROM table_31569 WHERE "Week" = '16'
|
SELECT "Result" FROM "table_31569" WHERE "Week" = '16'
| 0.052734 |
CREATE TABLE table_name_49 (attendance INT, date VARCHAR)
|
What is the sum of people in attendance on September 8?
|
SELECT SUM(attendance) FROM table_name_49 WHERE date = "september 8"
|
SELECT SUM("attendance") FROM "table_name_49" WHERE "date" = "september 8"
| 0.072266 |
CREATE TABLE table_name_32 (laps INT, driver VARCHAR)
|
What is the lowest number of laps obtained by driver Nick Heidfeld?
|
SELECT MIN(laps) FROM table_name_32 WHERE driver = "nick heidfeld"
|
SELECT MIN("laps") FROM "table_name_32" WHERE "driver" = "nick heidfeld"
| 0.070313 |
CREATE TABLE table_70533 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Time" TEXT, "Att." FLOAT, "Record" TEXT)
|
What was time of the game against the Royals with a record of 81 73?
|
SELECT "Time" FROM table_70533 WHERE "Opponent" = 'royals' AND "Record" = '81–73'
|
SELECT "Time" FROM "table_70533" WHERE "Opponent" = 'royals' AND "Record" = '81–73'
| 0.081055 |
CREATE TABLE table_204_516 (id DECIMAL, "date" TEXT, "opponents" TEXT, "h / a" TEXT, "result\ f - a" TEXT, "scorers" TEXT, "attendance" DECIMAL)
|
22,303 people attende the game on october 7 . how many were at the previous game ?
|
SELECT "attendance" FROM table_204_516 WHERE "date" < (SELECT "date" FROM table_204_516 WHERE "date" = '7 october 1933') ORDER BY "date" DESC LIMIT 1
|
SELECT "attendance" FROM "table_204_516" WHERE "date" < (SELECT "date" FROM "table_204_516" WHERE "date" = '7 october 1933') ORDER BY "date" DESC NULLS LAST LIMIT 1
| 0.160156 |
CREATE TABLE table_42127 ("Year" FLOAT, "Country" TEXT, "Team" TEXT, "Individual" TEXT, "Location" TEXT, "Runners-up" TEXT)
|
How many years was the individual winner from the United States was Tiger Woods?
|
SELECT COUNT("Year") FROM table_42127 WHERE "Country" = 'united states' AND "Individual" = 'tiger woods'
|
SELECT COUNT("Year") FROM "table_42127" WHERE "Country" = 'united states' AND "Individual" = 'tiger woods'
| 0.103516 |
CREATE TABLE table_name_61 (hole VARCHAR, player VARCHAR)
|
How many holes does Player Vijay Singh have?
|
SELECT COUNT(hole) FROM table_name_61 WHERE player = "vijay singh"
|
SELECT COUNT("hole") FROM "table_name_61" WHERE "player" = "vijay singh"
| 0.070313 |
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