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CREATE TABLE table_11885 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Site/Stadium" TEXT, "Loss" TEXT, "Attendance" TEXT, "Record" TEXT)
|
Who was the opponent at Lindsey Nelson Stadium?
|
SELECT "Opponent" FROM table_11885 WHERE "Site/Stadium" = 'lindsey nelson stadium'
|
SELECT "Opponent" FROM "table_11885" WHERE "Site/Stadium" = 'lindsey nelson stadium'
| 0.082031 |
CREATE TABLE table_name_12 (away_team VARCHAR, venue VARCHAR)
|
Who was the away team at MCG?
|
SELECT away_team FROM table_name_12 WHERE venue = "mcg"
|
SELECT "away_team" FROM "table_name_12" WHERE "mcg" = "venue"
| 0.05957 |
CREATE TABLE table_204_707 (id DECIMAL, "year" DECIMAL, "english title" TEXT, "chinese title" TEXT, "director" TEXT, "role" TEXT)
|
how many movies total did zhao dan star in between 1930 and 1940
|
SELECT COUNT(*) FROM table_204_707 WHERE "year" >= 1930 AND "year" <= 1940
|
SELECT COUNT(*) FROM "table_204_707" WHERE "year" <= 1940 AND "year" >= 1930
| 0.074219 |
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 PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
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 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 ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense 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 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 PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress 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 PostTypes (Id DECIMAL, Name 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 Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
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 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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description 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)
|
Users Who Asked the Most Questions.
|
SELECT p.OwnerUserId AS "user_link", COUNT(p.Id) AS "questions" FROM Posts AS p WHERE PostTypeId = 1 AND NOT OwnerUserId IS NULL AND DeletionDate IS NULL AND RIGHT(CAST(TIME_TO_STR(CreationDate, '%d/%m/%Y') AS TEXT(10)), 7) = '##Month:string##' GROUP BY p.OwnerUserId ORDER BY COUNT(p.Id) DESC LIMIT 3
|
SELECT "p"."OwnerUserId" AS "user_link", COUNT("p"."Id") AS "questions" FROM "Posts" AS "p" WHERE "DeletionDate" IS NULL AND "PostTypeId" = 1 AND NOT "OwnerUserId" IS NULL AND RIGHT(CAST(TO_CHAR(CAST("CreationDate" AS TIMESTAMPNTZ), 'DD/mm/yyyy') AS TEXT(10)), 7) = '##Month:string##' GROUP BY "p"."OwnerUserId" ORDER BY COUNT("p"."Id") DESC NULLS LAST LIMIT 3
| 0.351563 |
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
|
For those records from the products and each product's manufacturer, show me about the distribution of name and price , and group by attribute name in a bar chart.
|
SELECT T1.Name, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name, T1.Name
|
SELECT "T1"."Name", "T1"."Price" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T1"."Name", "T1"."Name"
| 0.152344 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
|
For those records from the products and each product's manufacturer, give me the comparison about the average of revenue over the founder , and group by attribute founder.
|
SELECT Founder, AVG(Revenue) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder
|
SELECT "Founder", AVG("Revenue") FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder"
| 0.137695 |
CREATE TABLE table_name_34 (party VARCHAR, incumbent VARCHAR)
|
Which party has Ken Cuccinelli as an incumbent?
|
SELECT party FROM table_name_34 WHERE incumbent = "ken cuccinelli"
|
SELECT "party" FROM "table_name_34" WHERE "incumbent" = "ken cuccinelli"
| 0.070313 |
CREATE TABLE table_22620 ("Pos" FLOAT, "Driver" TEXT, "Starts" FLOAT, "Finishes" FLOAT, "Wins" FLOAT, "Podiums" FLOAT, "Stage wins" FLOAT, "Points" FLOAT)
|
What is the highest pos for a driver with 1 podium?
|
SELECT MAX("Pos") FROM table_22620 WHERE "Podiums" = '1'
|
SELECT MAX("Pos") FROM "table_22620" WHERE "Podiums" = '1'
| 0.056641 |
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)
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 prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
provide the number of patients whose procedure long title is hemodialysis?
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SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.long_title = "Hemodialysis"
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SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Hemodialysis" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id"
| 0.180664 |
CREATE TABLE table_52470 ("Productions" TEXT, "Rose" TEXT, "Louise" TEXT, "Dainty June" TEXT, "Herbie" TEXT, "Director" TEXT)
|
Who was Dainty June when Tammy Blanchard was Louise?
|
SELECT "Dainty June" FROM table_52470 WHERE "Louise" = 'tammy blanchard'
|
SELECT "Dainty June" FROM "table_52470" WHERE "Louise" = 'tammy blanchard'
| 0.072266 |
CREATE TABLE table_name_25 (silver INT, total VARCHAR, gold VARCHAR, nation VARCHAR)
|
What's the highest silver and 1 gold that the nation of djibouti received with a total less than 3?
|
SELECT MAX(silver) FROM table_name_25 WHERE gold = 1 AND nation = "djibouti" AND total < 3
|
SELECT MAX("silver") FROM "table_name_25" WHERE "djibouti" = "nation" AND "gold" = 1 AND "total" < 3
| 0.097656 |
CREATE TABLE table_75215 ("Doubles" FLOAT, "Player" TEXT, "Team" TEXT, "Year" FLOAT, "Years Record Stood" TEXT)
|
Player of napoleon lajoie, and a Team of cleveland bronchos, and a Doubles of 49 which years record stood?
|
SELECT "Years Record Stood" FROM table_75215 WHERE "Player" = 'napoleon lajoie' AND "Team" = 'cleveland bronchos' AND "Doubles" = '49'
|
SELECT "Years Record Stood" FROM "table_75215" WHERE "Doubles" = '49' AND "Player" = 'napoleon lajoie' AND "Team" = 'cleveland bronchos'
| 0.132813 |
CREATE TABLE table_203_255 (id DECIMAL, "no" DECIMAL, "test no" DECIMAL, "1st team" TEXT, "2nd team" TEXT, "winner" TEXT, "margin" TEXT, "toss" TEXT, "bat" TEXT, "date" TEXT)
|
what is the total number of won tosses ?
|
SELECT COUNT(*) FROM table_203_255 WHERE "toss" = 'won'
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SELECT COUNT(*) FROM "table_203_255" WHERE "toss" = 'won'
| 0.055664 |
CREATE TABLE table_16570286_2 (highest_score VARCHAR, innings VARCHAR, player VARCHAR)
|
What was the score when Donald Bradman in 9 innings?
|
SELECT highest_score FROM table_16570286_2 WHERE innings = 9 AND player = "Donald Bradman"
|
SELECT "highest_score" FROM "table_16570286_2" WHERE "Donald Bradman" = "player" AND "innings" = 9
| 0.095703 |
CREATE TABLE table_75579 ("Round" FLOAT, "Pick" TEXT, "Player" TEXT, "Position" TEXT, "School/Club Team" TEXT)
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Which pick has a school/club team that is kentucky?
|
SELECT "Pick" FROM table_75579 WHERE "School/Club Team" = 'kentucky'
|
SELECT "Pick" FROM "table_75579" WHERE "School/Club Team" = 'kentucky'
| 0.068359 |
CREATE TABLE table_name_45 (opponent VARCHAR, outcome VARCHAR, partner VARCHAR)
|
In the match played with partner Andres Molteni, with the outcome of winner, who was the opponent?
|
SELECT opponent FROM table_name_45 WHERE outcome = "winner" AND partner = "andres molteni"
|
SELECT "opponent" FROM "table_name_45" WHERE "andres molteni" = "partner" AND "outcome" = "winner"
| 0.095703 |
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 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 cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime 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 intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
|
exactly what is the total amount of other meds intake that patient 030-21071 has received on last month/21?
|
SELECT SUM(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '030-21071')) AND intakeoutput.celllabel = 'other meds' AND intakeoutput.cellpath LIKE '%intake%' AND DATETIME(intakeoutput.intakeoutputtime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND STRFTIME('%d', intakeoutput.intakeoutputtime) = '21'
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '030-21071' 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 SUM("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'other meds' AND "intakeoutput"."cellpath" LIKE '%intake%' AND DATETIME("intakeoutput"."intakeoutputtime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_1"."" IS NULL AND STRFTIME('%d', "intakeoutput"."intakeoutputtime") = '21'
| 0.785156 |
CREATE TABLE table_55375 ("Player" TEXT, "Rec." FLOAT, "Yards" FLOAT, "Avg." FLOAT, "Long" FLOAT)
|
What is the average rec that is greater than 10 and has 40 yards?
|
SELECT AVG("Rec.") FROM table_55375 WHERE "Yards" = '40' AND "Avg." > '10'
|
SELECT AVG("Rec.") FROM "table_55375" WHERE "Avg." > '10' AND "Yards" = '40'
| 0.074219 |
CREATE TABLE table_name_56 (name VARCHAR, games VARCHAR)
|
What team played in the 1964 Tokyo Games?
|
SELECT name FROM table_name_56 WHERE games = "1964 tokyo"
|
SELECT "name" FROM "table_name_56" WHERE "1964 tokyo" = "games"
| 0.061523 |
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 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 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)
|
find out the long title of diagnosis for patient stephanie suchan.
|
SELECT diagnoses.long_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Stephanie Suchan"
|
SELECT "diagnoses"."long_title" FROM "demographic" JOIN "diagnoses" ON "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Stephanie Suchan" = "demographic"."name"
| 0.162109 |
CREATE TABLE table_name_73 (results VARCHAR, institutional_authority VARCHAR)
|
Name the results for institutional authority of paf
|
SELECT results FROM table_name_73 WHERE institutional_authority = "paf"
|
SELECT "results" FROM "table_name_73" WHERE "institutional_authority" = "paf"
| 0.075195 |
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 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_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE code_description (code VARCHAR, 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 ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
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 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 class_of_service (booking_class VARCHAR, rank INT, class_description 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 flight_fare (flight_id INT, fare_id INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
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 days (days_code VARCHAR, day_name 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 food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note 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 compartment_class (compartment VARCHAR, class_type VARCHAR)
|
does DL fly from ATLANTA to SAN FRANCISCO
|
SELECT DISTINCT airline.airline_code FROM airline, airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE ((flight.airline_code = 'DL') AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ATLANTA' AND flight.airline_code = airline.airline_code AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
|
SELECT DISTINCT "airline"."airline_code" FROM "airline" JOIN "flight" ON "airline"."airline_code" = "flight"."airline_code" AND "flight"."airline_code" = 'DL' JOIN "airport_service" AS "AIRPORT_SERVICE_0" 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_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'ATLANTA' JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO'
| 0.605469 |
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)
|
count the number of government health insurance patients who had wbc, joint fluid lab test.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.insurance = "Government" AND lab.label = "WBC, Joint Fluid"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "WBC, Joint Fluid" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "Government" = "demographic"."insurance"
| 0.205078 |
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
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 ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment 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 Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
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 VoteTypes (Id DECIMAL, Name 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 PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId 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 PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense 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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
|
Find posts with common spelling mistakes.
|
SELECT Id AS "post_link" FROM Posts WHERE Id > '##StartID:int?1##' AND Id < '##EndID:int?1000000##' AND (Body LIKE '%cant%' OR Body LIKE '%dont%' OR Body LIKE '%wont%')
|
SELECT "Id" AS "post_link" FROM "Posts" WHERE FALSE
| 0.049805 |
CREATE TABLE table_name_67 (events INT, rank VARCHAR, player VARCHAR)
|
How many events for orville moody, ranking below 3?
|
SELECT SUM(events) FROM table_name_67 WHERE rank > 3 AND player = "orville moody"
|
SELECT SUM("events") FROM "table_name_67" WHERE "orville moody" = "player" AND "rank" > 3
| 0.086914 |
CREATE TABLE table_30443 ("Stadium" TEXT, "Capacity" FLOAT, "City" TEXT, "Country" TEXT, "Tenant" TEXT, "Opening" TEXT)
|
Name the stadium for nizhny novgorod
|
SELECT "Stadium" FROM table_30443 WHERE "City" = 'Nizhny Novgorod'
|
SELECT "Stadium" FROM "table_30443" WHERE "City" = 'Nizhny Novgorod'
| 0.066406 |
CREATE TABLE table_30833 ("Round" FLOAT, "Date" TEXT, "Grand Prix" TEXT, "Circuit" TEXT, "Pole Position" TEXT, "Fastest Lap" TEXT, "Race Winner" TEXT)
|
What is the date of the Italian Grand Prix?
|
SELECT "Date" FROM table_30833 WHERE "Grand Prix" = 'Italian Grand Prix'
|
SELECT "Date" FROM "table_30833" WHERE "Grand Prix" = 'Italian Grand Prix'
| 0.072266 |
CREATE TABLE table_203_134 (id DECIMAL, "place" TEXT, "player" TEXT, "country" TEXT, "score" TEXT, "to par" DECIMAL)
|
how many golfers in the third round are from the united states ?
|
SELECT COUNT("player") FROM table_203_134 WHERE "country" = 'united states'
|
SELECT COUNT("player") FROM "table_203_134" WHERE "country" = 'united states'
| 0.075195 |
CREATE TABLE table_name_33 (played INT, points VARCHAR, draws VARCHAR)
|
How many total games were played by the team which had a total of 16 points and less than 4 draws?
|
SELECT SUM(played) FROM table_name_33 WHERE points = 16 AND draws < 4
|
SELECT SUM("played") FROM "table_name_33" WHERE "draws" < 4 AND "points" = 16
| 0.075195 |
CREATE TABLE table_13276 ("School" TEXT, "Location" TEXT, "Mascot" TEXT, "IHSAA Class" TEXT, "County" TEXT, "Year Joined" TEXT, "Year Left" TEXT, "Conference Joined" TEXT)
|
Which county has the mascot of Bruins?
|
SELECT "County" FROM table_13276 WHERE "Mascot" = 'bruins'
|
SELECT "County" FROM "table_13276" WHERE "Mascot" = 'bruins'
| 0.058594 |
CREATE TABLE table_20933 ("Year ( January ) " FLOAT, "Population ( 000 ) " FLOAT, "Rural , %" FLOAT, "Urban , %" FLOAT, "Source" TEXT)
|
What is the rural population percentage in 1979?
|
SELECT MIN("Rural, %") FROM table_20933 WHERE "Year (January)" = '1979'
|
SELECT MIN("Rural, %") FROM "table_20933" WHERE "Year (January)" = '1979'
| 0.071289 |
CREATE TABLE table_25461827_2 (height__ft_ VARCHAR, country VARCHAR)
|
What is the height associated with Paraguay?
|
SELECT height__ft_ FROM table_25461827_2 WHERE country = "Paraguay"
|
SELECT "height__ft_" FROM "table_25461827_2" WHERE "Paraguay" = "country"
| 0.071289 |
CREATE TABLE table_62034 ("Year" TEXT, "Car number" TEXT, "Start" TEXT, "Qual. speed" TEXT, "Speed rank" TEXT, "Finish" TEXT, "Laps completed" FLOAT, "Laps led" FLOAT)
|
What's the speed rank in 1963?
|
SELECT "Speed rank" FROM table_62034 WHERE "Year" = '1963'
|
SELECT "Speed rank" FROM "table_62034" WHERE "Year" = '1963'
| 0.058594 |
CREATE TABLE table_name_4 (team_2 VARCHAR, team_1 VARCHAR)
|
What is the name of Team 2 with a Team 1 of Al Qadsia?
|
SELECT team_2 FROM table_name_4 WHERE team_1 = "al qadsia"
|
SELECT "team_2" FROM "table_name_4" WHERE "al qadsia" = "team_1"
| 0.0625 |
CREATE TABLE table_63448 ("Locks & Dam" TEXT, "Location [L ]" TEXT, "River Mile" FLOAT, "Lock Side" TEXT, "Lock Lift/Drop ( in feet ) " TEXT, "Pool Length ( miles ) " TEXT)
|
What is the location of the river mile that is larger than 938.9, and Olmsted Locks and Dam?
|
SELECT "Location [L ]" FROM table_63448 WHERE "River Mile" > '938.9' AND "Locks & Dam" = 'olmsted locks and dam'
|
SELECT "Location [L ]" FROM "table_63448" WHERE "Locks & Dam" = 'olmsted locks and dam' AND "River Mile" > '938.9'
| 0.111328 |
CREATE TABLE record (ID INT, Result TEXT, Swimmer_ID INT, Event_ID INT)
CREATE TABLE swimmer (ID INT, name TEXT, Nationality TEXT, meter_100 FLOAT, meter_200 TEXT, meter_300 TEXT, meter_400 TEXT, meter_500 TEXT, meter_600 TEXT, meter_700 TEXT, Time TEXT)
CREATE TABLE event (ID INT, Name TEXT, Stadium_ID INT, Year TEXT)
CREATE TABLE stadium (ID INT, name TEXT, Capacity INT, City TEXT, Country TEXT, Opening_year INT)
|
Give me the comparison about meter_100 over the meter_500 by a bar chart, I want to sort in ascending by the meter_100.
|
SELECT meter_500, meter_100 FROM swimmer ORDER BY meter_100
|
SELECT "meter_500", "meter_100" FROM "swimmer" ORDER BY "meter_100" NULLS FIRST
| 0.077148 |
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 time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name 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 month (month_number INT, month_name TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE code_description (code VARCHAR, description 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 ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
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 state (state_code TEXT, state_name TEXT, country_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 airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
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 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)
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)
|
list all flights on all types of aircraft arriving in DENVER between 2000 and 2100
|
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 (((flight.arrival_time <= 2100 AND flight.arrival_time >= 2000) OR flight.arrival_time = arrival_time2) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND flight.from_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND flight.to_airport = AIRPORT_SERVICE_0.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" = 'DENVER' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."to_airport" AND ("arrival_time2" = "flight"."arrival_time" OR "flight"."arrival_time" <= 2100) AND ("arrival_time2" = "flight"."arrival_time" OR "flight"."arrival_time" >= 2000) JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."from_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code"
| 0.619141 |
CREATE TABLE competition_record (competition_id DECIMAL, farm_id DECIMAL, rank DECIMAL)
CREATE TABLE farm_competition (competition_id DECIMAL, year DECIMAL, theme TEXT, host_city_id DECIMAL, hosts TEXT)
CREATE TABLE farm (farm_id DECIMAL, year DECIMAL, total_horses DECIMAL, working_horses DECIMAL, total_cattle DECIMAL, oxen DECIMAL, bulls DECIMAL, cows DECIMAL, pigs DECIMAL, sheep_and_goats DECIMAL)
CREATE TABLE city (city_id DECIMAL, official_name TEXT, status TEXT, area_km_2 DECIMAL, population DECIMAL, census_ranking TEXT)
|
How many different statuses do cities have?
|
SELECT COUNT(DISTINCT status) FROM city
|
SELECT COUNT(DISTINCT "status") FROM "city"
| 0.041992 |
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 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 procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
what is date of birth and death status of subject id 25543?
|
SELECT demographic.dob, demographic.expire_flag FROM demographic WHERE demographic.subject_id = "25543"
|
SELECT "demographic"."dob", "demographic"."expire_flag" FROM "demographic" WHERE "25543" = "demographic"."subject_id"
| 0.114258 |
CREATE TABLE table_1342013_34 (incumbent VARCHAR, district VARCHAR)
|
who is the the incumbent with district being ohio 2
|
SELECT incumbent FROM table_1342013_34 WHERE district = "Ohio 2"
|
SELECT "incumbent" FROM "table_1342013_34" WHERE "Ohio 2" = "district"
| 0.068359 |
CREATE TABLE table_47708 ("Res." TEXT, "Record" TEXT, "Opponent" TEXT, "Method" TEXT, "Event" TEXT, "Round" FLOAT, "Time" TEXT, "Location" TEXT)
|
How many total rounds have the results of win, and n/a as the method?
|
SELECT COUNT("Round") FROM table_47708 WHERE "Res." = 'win' AND "Method" = 'n/a'
|
SELECT COUNT("Round") FROM "table_47708" WHERE "Method" = 'n/a' AND "Res." = 'win'
| 0.080078 |
CREATE TABLE table_name_75 (tackles VARCHAR, int_yds VARCHAR, solo VARCHAR, sacks VARCHAR)
|
What is the value for Tackles, when the value for Solo is greater than 67, when the value for Sacks is less than 2, and when the value for INT YDS is greater than 1?
|
SELECT tackles FROM table_name_75 WHERE solo > 67 AND sacks < 2 AND int_yds > 1
|
SELECT "tackles" FROM "table_name_75" WHERE "int_yds" > 1 AND "sacks" < 2 AND "solo" > 67
| 0.086914 |
CREATE TABLE table_name_15 (londonborough VARCHAR, dialcode VARCHAR)
|
What Londongborough has a Dialcode of 01992?
|
SELECT londonborough FROM table_name_15 WHERE dialcode = "01992"
|
SELECT "londonborough" FROM "table_name_15" WHERE "01992" = "dialcode"
| 0.068359 |
CREATE TABLE table_name_6 (score VARCHAR, country VARCHAR, player VARCHAR)
|
What was Australia's score when Peter Lonard played?
|
SELECT score FROM table_name_6 WHERE country = "australia" AND player = "peter lonard"
|
SELECT "score" FROM "table_name_6" WHERE "australia" = "country" AND "peter lonard" = "player"
| 0.091797 |
CREATE TABLE table_52298 ("Year" FLOAT, "Award" TEXT, "Category" TEXT, "Nominee" TEXT, "Result" TEXT)
|
What year was Patricia Mcgourty nominated for a Tony award?
|
SELECT "Year" FROM table_52298 WHERE "Nominee" = 'patricia mcgourty' AND "Award" = 'tony award'
|
SELECT "Year" FROM "table_52298" WHERE "Award" = 'tony award' AND "Nominee" = 'patricia mcgourty'
| 0.094727 |
CREATE TABLE table_name_29 (bronze INT, nation VARCHAR, silver VARCHAR)
|
How many bronze medals did west germany win when they had less than 2 silver medals?
|
SELECT SUM(bronze) FROM table_name_29 WHERE nation = "west germany" AND silver < 2
|
SELECT SUM("bronze") FROM "table_name_29" WHERE "nation" = "west germany" AND "silver" < 2
| 0.087891 |
CREATE TABLE table_2139111_1 (regular_season VARCHAR, year VARCHAR)
|
Name the regular season for 2005
|
SELECT regular_season FROM table_2139111_1 WHERE year = 2005
|
SELECT "regular_season" FROM "table_2139111_1" WHERE "year" = 2005
| 0.064453 |
CREATE TABLE film (film_id DECIMAL, title TEXT, description TEXT, release_year TIME, language_id DECIMAL, original_language_id DECIMAL, rental_duration DECIMAL, rental_rate DECIMAL, length DECIMAL, replacement_cost DECIMAL, rating TEXT, special_features TEXT, last_update TIME)
CREATE TABLE country (country_id DECIMAL, country TEXT, last_update TIME)
CREATE TABLE language (language_id DECIMAL, name TEXT, last_update TIME)
CREATE TABLE inventory (inventory_id DECIMAL, film_id DECIMAL, store_id DECIMAL, last_update TIME)
CREATE TABLE address (address_id DECIMAL, address TEXT, address2 TEXT, district TEXT, city_id DECIMAL, postal_code TEXT, phone TEXT, last_update TIME)
CREATE TABLE category (category_id DECIMAL, name TEXT, last_update TIME)
CREATE TABLE store (store_id DECIMAL, manager_staff_id DECIMAL, address_id DECIMAL, last_update TIME)
CREATE TABLE city (city_id DECIMAL, city TEXT, country_id DECIMAL, last_update TIME)
CREATE TABLE actor (actor_id DECIMAL, first_name TEXT, last_name TEXT, last_update TIME)
CREATE TABLE rental (rental_id DECIMAL, rental_date TIME, inventory_id DECIMAL, customer_id DECIMAL, return_date TIME, staff_id DECIMAL, last_update TIME)
CREATE TABLE film_category (film_id DECIMAL, category_id DECIMAL, last_update TIME)
CREATE TABLE payment (payment_id DECIMAL, customer_id DECIMAL, staff_id DECIMAL, rental_id DECIMAL, amount DECIMAL, payment_date TIME, last_update TIME)
CREATE TABLE film_actor (actor_id DECIMAL, film_id DECIMAL, last_update TIME)
CREATE TABLE staff (staff_id DECIMAL, first_name TEXT, last_name TEXT, address_id DECIMAL, picture others, email TEXT, store_id DECIMAL, active BOOLEAN, username TEXT, password TEXT, last_update TIME)
CREATE TABLE customer (customer_id DECIMAL, store_id DECIMAL, first_name TEXT, last_name TEXT, email TEXT, address_id DECIMAL, active BOOLEAN, create_date TIME, last_update TIME)
CREATE TABLE film_text (film_id DECIMAL, title TEXT, description TEXT)
|
Count the number of items store 1 has in stock.
|
SELECT COUNT(*) FROM inventory WHERE store_id = 1
|
SELECT COUNT(*) FROM "inventory" WHERE "store_id" = 1
| 0.051758 |
CREATE TABLE table_75833 ("Episode #" FLOAT, "Title" TEXT, "Air Date" TEXT, "Rating" FLOAT, "Share" FLOAT, "18\\u201349" FLOAT, "Viewers" FLOAT, "Rank" TEXT)
|
What is the average Episode # with a 7 share and 18 49 is less than 2 and the Air Date of may 21, 2009?
|
SELECT AVG("Episode #") FROM table_75833 WHERE "Share" = '7' AND "18\u201349" < '2' AND "Air Date" = 'may 21, 2009'
|
SELECT AVG("Episode #") FROM "table_75833" WHERE "18\u201349" < '2' AND "Air Date" = 'may 21, 2009' AND "Share" = '7'
| 0.114258 |
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
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 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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom 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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE diagnoses_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 d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name 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 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_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_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)
|
for patients diagnosed with gangrene until 2104, what are the top five most frequent diagnoses that followed within 2 months?
|
SELECT d_icd_diagnoses.short_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.icd9_code IN (SELECT t3.icd9_code FROM (SELECT t2.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'gangrene') AND STRFTIME('%y', diagnoses_icd.charttime) <= '2104') AS t1 JOIN (SELECT admissions.subject_id, diagnoses_icd.icd9_code, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE STRFTIME('%y', diagnoses_icd.charttime) <= '2104') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t2.charttime) BETWEEN DATETIME(t1.charttime) AND DATETIME(t1.charttime, '+2 month') GROUP BY t2.icd9_code) AS t3 WHERE t3.c1 <= 5)
|
WITH "t2" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."icd9_code", "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" WHERE STRFTIME('%y', "diagnoses_icd"."charttime") <= '2104'), "t3" AS (SELECT "t2"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'gangrene' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."charttime" AND DATETIME("diagnoses_icd"."charttime") <= DATETIME("t2"."charttime") AND DATETIME("diagnoses_icd"."charttime", '+2 month') >= DATETIME("t2"."charttime") WHERE STRFTIME('%y', "diagnoses_icd"."charttime") <= '2104' GROUP BY "t2"."icd9_code"), "_u_1" AS (SELECT "t3"."icd9_code" FROM "t3" AS "t3" WHERE "t3"."c1" <= 5 GROUP BY "icd9_code") SELECT "d_icd_diagnoses"."short_title" FROM "d_icd_diagnoses" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "d_icd_diagnoses"."icd9_code" WHERE NOT "_u_1"."" IS NULL
| 1.174805 |
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 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 procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
provide the number of patients whose insurance is self pay and diagnoses short title is parox ventric tachycard?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Self Pay" AND diagnoses.short_title = "Parox ventric tachycard"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Parox ventric tachycard" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Self Pay" = "demographic"."insurance"
| 0.233398 |
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code 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 food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
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 state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description 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 compartment_class (compartment VARCHAR, class_type VARCHAR)
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 airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
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 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 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 month (month_number INT, month_name TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
|
please list the WEDNESDAY AA flights from MILWAUKEE to SAN JOSE
|
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, days, flight WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN JOSE' AND days.day_name = 'WEDNESDAY' 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 = 'MILWAUKEE' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.airline_code = 'AA'
|
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" = 'MILWAUKEE' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'AA' JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "days" ON "days"."day_name" = 'WEDNESDAY' AND "days"."days_code" = "flight"."flight_days" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN JOSE'
| 0.624023 |
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
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_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
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 d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
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 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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name 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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
|
count how many patients have been discharged from hospital.
|
SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE NOT admissions.dischtime IS NULL
|
SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" WHERE NOT "admissions"."dischtime" IS NULL
| 0.106445 |
CREATE TABLE table_54218 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
|
How many laps were driven in 2:54:23.8?
|
SELECT SUM("Laps") FROM table_54218 WHERE "Time/Retired" = '2:54:23.8'
|
SELECT SUM("Laps") FROM "table_54218" WHERE "Time/Retired" = '2:54:23.8'
| 0.070313 |
CREATE TABLE table_40418 ("Advocate" TEXT, "Wins" FLOAT, "Losses" FLOAT, "Ties" FLOAT, "Poll wins" FLOAT, "Poll losses" FLOAT)
|
What is the lowest poll losses of the 0 ties, poll wins greater than 1 and wins less than 2?
|
SELECT MIN("Poll losses") FROM table_40418 WHERE "Ties" = '0' AND "Poll wins" > '1' AND "Wins" < '2'
|
SELECT MIN("Poll losses") FROM "table_40418" WHERE "Poll wins" > '1' AND "Ties" = '0' AND "Wins" < '2'
| 0.099609 |
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 diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto 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_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title 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 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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
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 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)
|
what is the minimum total cost of the hospital, which includes the laboratory transferrin test until 2 years ago?
|
SELECT MIN(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.hadm_id IN (SELECT labevents.hadm_id FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'transferrin')) AND DATETIME(cost.chargetime) <= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY cost.hadm_id) AS t1
|
WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'transferrin' GROUP BY "itemid"), "_u_1" AS (SELECT "labevents"."hadm_id" FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL GROUP BY "hadm_id"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "cost"."hadm_id" WHERE DATETIME("cost"."chargetime") <= DATETIME(CURRENT_TIME(), '-2 year') AND NOT "_u_1"."" IS NULL GROUP BY "cost"."hadm_id") SELECT MIN("t1"."c1") FROM "t1" AS "t1"
| 0.5625 |
CREATE TABLE table_30858 ("Pick #" FLOAT, "Player" TEXT, "Position" TEXT, "Nationality" TEXT, "NHL team" TEXT, "College/junior/club team" TEXT)
|
Which college/junior/club team has jim mathieson as the player?
|
SELECT "College/junior/club team" FROM table_30858 WHERE "Player" = 'Jim Mathieson'
|
SELECT "College/junior/club team" FROM "table_30858" WHERE "Player" = 'Jim Mathieson'
| 0.083008 |
CREATE TABLE table_74554 ("Latin Letter" TEXT, "Code Abbr." TEXT, "Local letter" TEXT, "Code Name" TEXT, "Official Name" TEXT, "Capital" TEXT)
|
The capital of funadhoo has what local letter?
|
SELECT "Local letter" FROM table_74554 WHERE "Capital" = 'funadhoo'
|
SELECT "Local letter" FROM "table_74554" WHERE "Capital" = 'funadhoo'
| 0.067383 |
CREATE TABLE Rating (mID VARCHAR, stars INT)
CREATE TABLE Movie (title VARCHAR, director VARCHAR, mID VARCHAR)
|
What are the titles and directors of the movies whose star is greater than the average stars of the movies directed by James Cameron?
|
SELECT T2.title, T2.director FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE T1.stars > (SELECT AVG(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE T2.director = "James Cameron")
|
WITH "_u_0" AS (SELECT AVG("T1"."stars"), "T2"."director" AS "_u_1" FROM "Rating" AS "T1" JOIN "Movie" AS "T2" ON "T1"."mID" = "T2"."mID" GROUP BY "T2"."director") SELECT "T2"."title", "T2"."director" FROM "Rating" AS "T1" LEFT JOIN "_u_0" AS "_u_0" ON "James Cameron" = "_u_0"."_u_1" JOIN "Movie" AS "T2" ON "T1"."mID" = "T2"."mID" WHERE "T1"."stars" > "_u_0".""
| 0.354492 |
CREATE TABLE table_name_74 (day_pass VARCHAR, base_fares VARCHAR)
|
Which 30-day Pass has a Base Fare of $3?
|
SELECT 30 - day_pass FROM table_name_74 WHERE base_fares = "$3"
|
SELECT 30 - "day_pass" FROM "table_name_74" WHERE "$3" = "base_fares"
| 0.067383 |
CREATE TABLE table_46419 ("Name" TEXT, "Country" TEXT, "Loan Club" TEXT, "Started" TEXT, "Ended" TEXT, "Start Source" TEXT, "End Source" TEXT)
|
when was the loan ended when the loan club is spartak moscow?
|
SELECT "Ended" FROM table_46419 WHERE "Loan Club" = 'spartak moscow'
|
SELECT "Ended" FROM "table_46419" WHERE "Loan Club" = 'spartak moscow'
| 0.068359 |
CREATE TABLE table_name_79 (europe VARCHAR, title VARCHAR)
|
Tell me the Europe for z.h.p. unlosing ranger vs darkdeath evilman
|
SELECT europe FROM table_name_79 WHERE title = "z.h.p. unlosing ranger vs darkdeath evilman"
|
SELECT "europe" FROM "table_name_79" WHERE "title" = "z.h.p. unlosing ranger vs darkdeath evilman"
| 0.095703 |
CREATE TABLE table_67262 ("Name" TEXT, "City/State" TEXT, "Country" TEXT, "Status" TEXT, "Status Date" TEXT, "Episode Number" TEXT)
|
Which contestant was associated with episode 34?
|
SELECT "Name" FROM table_67262 WHERE "Episode Number" = 'episode 34'
|
SELECT "Name" FROM "table_67262" WHERE "Episode Number" = 'episode 34'
| 0.068359 |
CREATE TABLE table_1139087_2 (date VARCHAR, location VARCHAR)
|
What day was the grand prix in jerez?
|
SELECT date FROM table_1139087_2 WHERE location = "Jerez"
|
SELECT "date" FROM "table_1139087_2" WHERE "Jerez" = "location"
| 0.061523 |
CREATE TABLE document_functional_areas (document_code TEXT, functional_area_code TEXT)
CREATE TABLE roles (role_code TEXT, role_description TEXT)
CREATE TABLE users (user_id DECIMAL, role_code TEXT, user_name TEXT, user_login TEXT, password TEXT)
CREATE TABLE document_structures (document_structure_code TEXT, parent_document_structure_code TEXT, document_structure_description TEXT)
CREATE TABLE functional_areas (functional_area_code TEXT, parent_functional_area_code TEXT, functional_area_description TEXT)
CREATE TABLE documents (document_code TEXT, document_structure_code TEXT, document_type_code TEXT, access_count DECIMAL, document_name TEXT)
CREATE TABLE document_sections (section_id DECIMAL, document_code TEXT, section_sequence DECIMAL, section_code TEXT, section_title TEXT)
CREATE TABLE document_sections_images (section_id DECIMAL, image_id DECIMAL)
CREATE TABLE images (image_id DECIMAL, image_alt_text TEXT, image_name TEXT, image_url TEXT)
|
List all the username and passwords of users with the most popular role.
|
SELECT user_name, password FROM users GROUP BY role_code ORDER BY COUNT(*) DESC LIMIT 1
|
SELECT "user_name", "password" FROM "users" GROUP BY "role_code" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1
| 0.103516 |
CREATE TABLE table_name_45 (against INT, date VARCHAR)
|
What's the lowest against on 27/03/1971?
|
SELECT MIN(against) FROM table_name_45 WHERE date = "27/03/1971"
|
SELECT MIN("against") FROM "table_name_45" WHERE "27/03/1971" = "date"
| 0.068359 |
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction 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)
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 program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req 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 jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip 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 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 instructor (instructor_id INT, name VARCHAR, uniqname 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 ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
|
Between EECS 588 and EECS 569 , which would be easier ?
|
SELECT DISTINCT course.number FROM course INNER JOIN program_course ON program_course.course_id = course.course_id WHERE (course.number = 588 OR course.number = 569) AND program_course.workload = (SELECT MIN(PROGRAM_COURSEalias1.workload) FROM program_course AS PROGRAM_COURSEalias1 INNER JOIN course AS COURSEalias1 ON PROGRAM_COURSEalias1.course_id = COURSEalias1.course_id WHERE (COURSEalias1.number = 588 OR COURSEalias1.number = 569) AND COURSEalias1.department = 'EECS')
|
WITH "_u_0" AS (SELECT MIN("PROGRAM_COURSEalias1"."workload") FROM "program_course" AS "PROGRAM_COURSEalias1" JOIN "course" AS "COURSEalias1" ON "COURSEalias1"."course_id" = "PROGRAM_COURSEalias1"."course_id" AND "COURSEalias1"."department" = 'EECS' AND ("COURSEalias1"."number" = 569 OR "COURSEalias1"."number" = 588)) SELECT DISTINCT "course"."number" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "program_course"."workload" WHERE "course"."number" = 569 OR "course"."number" = 588
| 0.552734 |
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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom 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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
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 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 d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE diagnoses_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)
|
what is the total quantity of output that patient 20898 has had on the current intensive care unit visit?
|
SELECT SUM(outputevents.value) FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 20898) AND icustays.outtime IS NULL)
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 20898 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE "icustays"."outtime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "icustay_id") SELECT SUM("outputevents"."value") FROM "outputevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "outputevents"."icustay_id" WHERE NOT "_u_1"."" IS NULL
| 0.470703 |
CREATE TABLE party_forms (party_id DECIMAL, form_id DECIMAL, date_completion_started TIME, form_status_code TEXT, date_fully_completed TIME)
CREATE TABLE party_addresses (party_id DECIMAL, address_id DECIMAL, date_address_from TIME, address_type_code TEXT, date_address_to TIME)
CREATE TABLE party_services (booking_id DECIMAL, customer_id DECIMAL, service_id DECIMAL, service_datetime TIME, booking_made_date TIME)
CREATE TABLE individuals (individual_id DECIMAL, individual_first_name TEXT, individual_middle_name TEXT, inidividual_phone TEXT, individual_email TEXT, individual_address TEXT, individual_last_name TEXT)
CREATE TABLE forms (form_id DECIMAL, form_type_code TEXT, service_id DECIMAL, form_number TEXT, form_name TEXT, form_description TEXT)
CREATE TABLE organization_contact_individuals (individual_id DECIMAL, organization_id DECIMAL, date_contact_from TIME, date_contact_to TIME)
CREATE TABLE services (service_id DECIMAL, service_type_code TEXT, service_name TEXT, service_descriptio TEXT)
CREATE TABLE addresses (address_id DECIMAL, line_1_number_building TEXT, town_city TEXT, zip_postcode TEXT, state_province_county TEXT, country TEXT)
CREATE TABLE organizations (organization_id DECIMAL, date_formed TIME, organization_name TEXT, uk_vat_number TEXT)
CREATE TABLE parties (party_id DECIMAL, payment_method_code TEXT, party_phone TEXT, party_email TEXT)
|
What are the names of organizations that contain the word 'Party'?
|
SELECT organization_name FROM organizations WHERE organization_name LIKE "%Party%"
|
SELECT "organization_name" FROM "organizations" WHERE "organization_name" LIKE "%Party%"
| 0.085938 |
CREATE TABLE table_54477 ("Res." TEXT, "Record" TEXT, "Opponent" TEXT, "Method" TEXT, "Event" TEXT, "Round" TEXT, "Time" TEXT, "Location" TEXT)
|
What Round is the Event cage rage 17?
|
SELECT "Round" FROM table_54477 WHERE "Event" = 'cage rage 17'
|
SELECT "Round" FROM "table_54477" WHERE "Event" = 'cage rage 17'
| 0.0625 |
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 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)
|
count the number of patients whose age is less than 55 and diagnoses icd9 code is 2631?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "55" AND diagnoses.icd9_code = "2631"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "2631" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "55" > "demographic"."age"
| 0.201172 |
CREATE TABLE table_name_27 (years VARCHAR, roll VARCHAR, decile VARCHAR)
|
Name the Years of schools with a Roll Larger than 23 and a Decile greater than 5.
|
SELECT years FROM table_name_27 WHERE roll > 23 AND decile > 5
|
SELECT "years" FROM "table_name_27" WHERE "decile" > 5 AND "roll" > 23
| 0.068359 |
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)
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)
|
give me the number of patients whose religion is catholic and diagnoses long title is rheumatoid arthritis?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.religion = "CATHOLIC" AND diagnoses.long_title = "Rheumatoid arthritis"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Rheumatoid arthritis" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "CATHOLIC" = "demographic"."religion"
| 0.228516 |
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 countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
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 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)
|
For those employees who did not have any job in the past, return a bar chart about the distribution of job_id and the average of employee_id , and group by attribute job_id, and I want to sort by the total number in asc please.
|
SELECT JOB_ID, AVG(EMPLOYEE_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID ORDER BY AVG(EMPLOYEE_ID)
|
SELECT "JOB_ID", AVG("EMPLOYEE_ID") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") GROUP BY "JOB_ID" ORDER BY AVG("EMPLOYEE_ID") NULLS FIRST
| 0.174805 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
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 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)
|
provide the number of patients whose admission year is less than 2155 and lab test name is myelocytes?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2155" AND lab.label = "Myelocytes"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Myelocytes" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2155" > "demographic"."admityear"
| 0.193359 |
CREATE TABLE table_31242 ("Episode" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "UK viewers ( million ) " TEXT, "Share ( % ) " TEXT, "Original air date" TEXT)
|
Who is the director when there are 2.70 million viewers?
|
SELECT "Directed by" FROM table_31242 WHERE "UK viewers (million)" = '2.70'
|
SELECT "Directed by" FROM "table_31242" WHERE "UK viewers (million)" = '2.70'
| 0.075195 |
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount 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 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 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 ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE CloseReasonTypes (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 ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange 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 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 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 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 Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
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 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)
|
list all question which tag is java.
|
SELECT MAX(LENGTH(Body)) FROM Posts
|
SELECT MAX(LENGTH("Body")) FROM "Posts"
| 0.038086 |
CREATE TABLE table_test_13 ("id" INT, "systolic_blood_pressure_sbp" INT, "tachycardia" INT, "diastolic_blood_pressure_dbp" INT, "total_cholesterol" INT, "high_density_lipoprotein_cholesterol_hdl_c" INT, "serum_creatinine" FLOAT, "alcohol_abuse" BOOLEAN, "drug_abuse" BOOLEAN, "body_mass_index_bmi" FLOAT, "triglyceride_tg" FLOAT, "age" FLOAT, "NOUSE" FLOAT)
|
bmi < 24 kg / m2
|
SELECT * FROM table_test_13 WHERE body_mass_index_bmi < 24
|
SELECT * FROM "table_test_13" WHERE "body_mass_index_bmi" < 24
| 0.060547 |
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college 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 program (program_id INT, name VARCHAR, college VARCHAR, introduction 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 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)
CREATE TABLE ta (campus_job_id INT, student_id INT, location 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 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 jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
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 area (course_id INT, area VARCHAR)
|
Is STDABRD 306 section 354 offered in the Summer 2003 semester ?
|
SELECT COUNT(*) > 0 FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester WHERE course_offering.section_number = 354 AND course.department = 'STDABRD' AND course.number = 306 AND semester.semester = 'Summer' AND semester.year = 2003
|
SELECT COUNT(*) > 0 FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" AND "course_offering"."section_number" = 354 JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'Summer' AND "semester"."year" = 2003 WHERE "course"."department" = 'STDABRD' AND "course"."number" = 306
| 0.357422 |
CREATE TABLE table_43679 ("Player" TEXT, "Nationality" TEXT, "Jersey Number ( s ) " TEXT, "Position" TEXT, "Years" TEXT, "From" TEXT)
|
What is the nationality of the SG position?
|
SELECT "Nationality" FROM table_43679 WHERE "Position" = 'sg'
|
SELECT "Nationality" FROM "table_43679" WHERE "Position" = 'sg'
| 0.061523 |
CREATE TABLE table_71705 ("Year" FLOAT, "Population ( Region total ) " FLOAT, "Population ( Caloundra ) " FLOAT, "Population ( Maroochy ) " FLOAT, "Population ( Noosa ) " FLOAT)
|
What year had a population region total of 63,073 and a population maroochy smaller than 35,266?
|
SELECT MAX("Year") FROM table_71705 WHERE "Population (Region total)" = '63,073' AND "Population (Maroochy)" < '35,266'
|
SELECT MAX("Year") FROM "table_71705" WHERE "Population (Maroochy)" < '35,266' AND "Population (Region total)" = '63,073'
| 0.118164 |
CREATE TABLE table_68681 ("Title" TEXT, "Year" TEXT, "Developer" TEXT, "Publisher" TEXT, "Platform" TEXT)
|
Who published Star Citizen in 2014?
|
SELECT "Publisher" FROM table_68681 WHERE "Year" = '2014' AND "Title" = 'star citizen'
|
SELECT "Publisher" FROM "table_68681" WHERE "Title" = 'star citizen' AND "Year" = '2014'
| 0.085938 |
CREATE TABLE table_54936 ("Year" TEXT, "Team" TEXT, "Comp" TEXT, "Rate" TEXT, "RAtt" TEXT, "RYds" TEXT, "RAvg" TEXT)
|
What team has a 94.1 rating?
|
SELECT "Team" FROM table_54936 WHERE "Rate" = '94.1'
|
SELECT "Team" FROM "table_54936" WHERE "Rate" = '94.1'
| 0.052734 |
CREATE TABLE table_7507 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Location" TEXT, "Record" TEXT, "Attendance" TEXT)
|
Where was the game played when the Buffalo Bills had a record of 8-8?
|
SELECT "Location" FROM table_7507 WHERE "Record" = '8-8'
|
SELECT "Location" FROM "table_7507" WHERE "Record" = '8-8'
| 0.056641 |
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 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)
|
give me the number of patients whose death status is 0 and procedure icd9 code is 3772?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "0" AND procedures.icd9_code = "3772"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "3772" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "0" = "demographic"."expire_flag"
| 0.210938 |
CREATE TABLE VISITORS (Tourist_Details VARCHAR)
|
Show details of all visitors.
|
SELECT Tourist_Details FROM VISITORS
|
SELECT "Tourist_Details" FROM "VISITORS"
| 0.039063 |
CREATE TABLE table_name_47 (score VARCHAR, time VARCHAR)
|
what is the score when the time is 2:22?
|
SELECT score FROM table_name_47 WHERE time = "2:22"
|
SELECT "score" FROM "table_name_47" WHERE "2:22" = "time"
| 0.055664 |
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 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)
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)
|
how many patients are born before 2065 and diagnosed with malig neo ascend colon?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.dob_year < "2065" AND diagnoses.short_title = "Malig neo ascend colon"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Malig neo ascend colon" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2065" > "demographic"."dob_year"
| 0.227539 |
CREATE TABLE table_15442974_1 (third_district VARCHAR, fifth_district VARCHAR)
|
Name the third district for christine young
|
SELECT third_district FROM table_15442974_1 WHERE fifth_district = "Christine Young"
|
SELECT "third_district" FROM "table_15442974_1" WHERE "Christine Young" = "fifth_district"
| 0.087891 |
CREATE TABLE table_203_561 (id DECIMAL, "pos" DECIMAL, "team" TEXT, "total" DECIMAL, "high" DECIMAL, "low" DECIMAL, "average" DECIMAL, "change" TEXT)
|
the team that is last in terms of total
|
SELECT "team" FROM table_203_561 ORDER BY "total" LIMIT 1
|
SELECT "team" FROM "table_203_561" ORDER BY "total" NULLS FIRST LIMIT 1
| 0.069336 |
CREATE TABLE table_66353 ("Rank" FLOAT, "Rowers" TEXT, "Country" TEXT, "Time" TEXT, "Notes" TEXT)
|
Who are the Rowers from Poland?
|
SELECT "Rowers" FROM table_66353 WHERE "Country" = 'poland'
|
SELECT "Rowers" FROM "table_66353" WHERE "Country" = 'poland'
| 0.05957 |
CREATE TABLE table_name_17 (rally_name VARCHAR, surface VARCHAR)
|
Which Rally Name has a Surface of asphalt and gravel?
|
SELECT rally_name FROM table_name_17 WHERE surface = "asphalt and gravel"
|
SELECT "rally_name" FROM "table_name_17" WHERE "asphalt and gravel" = "surface"
| 0.077148 |
CREATE TABLE table_25584 ("Rank" FLOAT, "Metropolitan area" TEXT, "Principal city" TEXT, "10 , 000+ places" FLOAT, "Densest incorporated place" TEXT, "Density" TEXT)
|
Name the number of rank for stone park
|
SELECT COUNT("Rank") FROM table_25584 WHERE "Densest incorporated place" = 'Stone Park'
|
SELECT COUNT("Rank") FROM "table_25584" WHERE "Densest incorporated place" = 'Stone Park'
| 0.086914 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
|
For those records from the products and each product's manufacturer, return a scatter chart about the correlation between code and price , and group by attribute founder.
|
SELECT T1.Code, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder
|
SELECT "T1"."Code", "T1"."Price" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder"
| 0.137695 |
CREATE TABLE table_name_88 (rank VARCHAR, total VARCHAR, silver VARCHAR)
|
What is the total rank with more than 0 silver and less than 2 medals total?
|
SELECT COUNT(rank) FROM table_name_88 WHERE total < 2 AND silver > 0
|
SELECT COUNT("rank") FROM "table_name_88" WHERE "silver" > 0 AND "total" < 2
| 0.074219 |
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod 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 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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
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 d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
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 diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name 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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
|
what is the total minimum cost of a hospital that includes a drug called d5lr during the last year?
|
SELECT MIN(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.hadm_id IN (SELECT prescriptions.hadm_id FROM prescriptions WHERE prescriptions.drug = 'd5lr') AND DATETIME(cost.chargetime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY cost.hadm_id) AS t1
|
WITH "_u_0" AS (SELECT "prescriptions"."hadm_id" FROM "prescriptions" WHERE "prescriptions"."drug" = 'd5lr' GROUP BY "hadm_id"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "cost"."hadm_id" WHERE DATETIME("cost"."chargetime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_0"."" IS NULL GROUP BY "cost"."hadm_id") SELECT MIN("t1"."c1") FROM "t1" AS "t1"
| 0.432617 |
CREATE TABLE table_name_33 (grid INT, manufacturer VARCHAR, rider VARCHAR)
|
Count the Grid which has a Manufacturer of aprilia, and a Rider of bradley smith?
|
SELECT AVG(grid) FROM table_name_33 WHERE manufacturer = "aprilia" AND rider = "bradley smith"
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SELECT AVG("grid") FROM "table_name_33" WHERE "aprilia" = "manufacturer" AND "bradley smith" = "rider"
| 0.099609 |
CREATE TABLE table_42094 ("Office" TEXT, "Democratic ticket" TEXT, "Republican ticket" TEXT, "American Labor ticket" TEXT, "Socialist ticket" TEXT)
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Which American Labor candidate ran against Republican Thomas E. Dewey?
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SELECT "American Labor ticket" FROM table_42094 WHERE "Republican ticket" = 'thomas e. dewey'
|
SELECT "American Labor ticket" FROM "table_42094" WHERE "Republican ticket" = 'thomas e. dewey'
| 0.092773 |
CREATE TABLE plays_games (stuid DECIMAL, gameid DECIMAL, hours_played DECIMAL)
CREATE TABLE sportsinfo (stuid DECIMAL, sportname TEXT, hoursperweek DECIMAL, gamesplayed DECIMAL, onscholarship TEXT)
CREATE TABLE video_games (gameid DECIMAL, gname TEXT, gtype TEXT)
CREATE TABLE student (stuid DECIMAL, lname TEXT, fname TEXT, age DECIMAL, sex TEXT, major DECIMAL, advisor DECIMAL, city_code TEXT)
|
What are the names of all video games that are collectible cards?
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SELECT gname FROM video_games WHERE gtype = "Collectible card game"
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SELECT "gname" FROM "video_games" WHERE "Collectible card game" = "gtype"
| 0.071289 |
CREATE TABLE table_50370 ("Start Date/Time" TEXT, "Duration" TEXT, "End Time" TEXT, "Spacecraft" TEXT, "Crew" TEXT)
|
What crew's EVA started on 20 February 20:09?
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SELECT "Crew" FROM table_50370 WHERE "Start Date/Time" = '20 february 20:09'
|
SELECT "Crew" FROM "table_50370" WHERE "Start Date/Time" = '20 february 20:09'
| 0.076172 |
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