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CREATE TABLE captain (Captain_ID INT, Name TEXT, Ship_ID INT, age TEXT, Class TEXT, Rank TEXT)
CREATE TABLE Ship (Ship_ID INT, Name TEXT, Type TEXT, Built_Year FLOAT, Class TEXT, Flag TEXT)
|
A bar chart about how many captains are in each rank?, and could you order by the X-axis from high to low?
|
SELECT Rank, COUNT(*) FROM captain GROUP BY Rank ORDER BY Rank DESC
|
SELECT "Rank", COUNT(*) FROM "captain" GROUP BY "Rank" ORDER BY "Rank" DESC NULLS LAST
| 0.083984 |
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 the number of patients whose admission type is elective and primary disease is cerebral aneurysm/sda?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.diagnosis = "CEREBRAL ANEURYSM/SDA"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "CEREBRAL ANEURYSM/SDA" = "demographic"."diagnosis" AND "ELECTIVE" = "demographic"."admission_type"
| 0.169922 |
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE 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 locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
|
For all employees who have the letters D or S in their first name, show me about the change of employee_id over hire_date in a line chart, and list by the x-axis from low to high.
|
SELECT HIRE_DATE, EMPLOYEE_ID FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY HIRE_DATE
|
SELECT "HIRE_DATE", "EMPLOYEE_ID" FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY "HIRE_DATE" NULLS FIRST
| 0.136719 |
CREATE TABLE status (station_id INT, bikes_available INT, docks_available INT, time TEXT)
CREATE TABLE station (id INT, name TEXT, lat DECIMAL, long DECIMAL, dock_count INT, city TEXT, installation_date TEXT)
CREATE TABLE weather (date TEXT, max_temperature_f INT, mean_temperature_f INT, min_temperature_f INT, max_dew_point_f INT, mean_dew_point_f INT, min_dew_point_f INT, max_humidity INT, mean_humidity INT, min_humidity INT, max_sea_level_pressure_inches DECIMAL, mean_sea_level_pressure_inches DECIMAL, min_sea_level_pressure_inches DECIMAL, max_visibility_miles INT, mean_visibility_miles INT, min_visibility_miles INT, max_wind_Speed_mph INT, mean_wind_speed_mph INT, max_gust_speed_mph INT, precipitation_inches INT, cloud_cover INT, events TEXT, wind_dir_degrees INT, zip_code INT)
CREATE TABLE trip (id INT, duration INT, start_date TEXT, start_station_name TEXT, start_station_id INT, end_date TEXT, end_station_name TEXT, end_station_id INT, bike_id INT, subscription_type TEXT, zip_code INT)
|
I want a bar chart to show the frequency of the dates that have the 5 highest cloud cover rates each year.
|
SELECT date, COUNT(date) FROM weather
|
SELECT "date", COUNT("date") FROM "weather"
| 0.041992 |
CREATE TABLE exhibition (Exhibition_ID INT, Year INT, Theme TEXT, Artist_ID INT, Ticket_Price FLOAT)
CREATE TABLE artist (Artist_ID INT, Name TEXT, Country TEXT, Year_Join INT, Age INT)
CREATE TABLE exhibition_record (Exhibition_ID INT, Date TEXT, Attendance INT)
|
Show all artist names and the number of exhibitions for each artist in a bar chart, and show in asc by the bars.
|
SELECT Name, COUNT(*) FROM exhibition AS T1 JOIN artist AS T2 ON T1.Artist_ID = T2.Artist_ID GROUP BY T1.Artist_ID ORDER BY Name
|
SELECT "Name", COUNT(*) FROM "exhibition" AS "T1" JOIN "artist" AS "T2" ON "T1"."Artist_ID" = "T2"."Artist_ID" GROUP BY "T1"."Artist_ID" ORDER BY "Name" NULLS FIRST
| 0.160156 |
CREATE TABLE table_75518 ("Rank" FLOAT, "# of Titles" FLOAT, "School" TEXT, "City" TEXT, "Sport" TEXT, "First" FLOAT, "Last" FLOAT)
|
What is the highest rank for the boys swimming team in Albuquerque?
|
SELECT MAX("Rank") FROM table_75518 WHERE "Sport" = 'boys swimming' AND "City" = 'albuquerque'
|
SELECT MAX("Rank") FROM "table_75518" WHERE "City" = 'albuquerque' AND "Sport" = 'boys swimming'
| 0.09375 |
CREATE TABLE table_name_25 (score VARCHAR, place VARCHAR, nation VARCHAR)
|
What was the score in a place of t5 in the United States?
|
SELECT score FROM table_name_25 WHERE place = "t5" AND nation = "united states"
|
SELECT "score" FROM "table_name_25" WHERE "nation" = "united states" AND "place" = "t5"
| 0.084961 |
CREATE TABLE circuits (circuitid DECIMAL, circuitref TEXT, name TEXT, location TEXT, country TEXT, lat DECIMAL, lng DECIMAL, alt DECIMAL, url TEXT)
CREATE TABLE pitstops (raceid DECIMAL, driverid DECIMAL, stop DECIMAL, lap DECIMAL, time TEXT, duration TEXT, milliseconds DECIMAL)
CREATE TABLE status (statusid DECIMAL, status TEXT)
CREATE TABLE laptimes (raceid DECIMAL, driverid DECIMAL, lap DECIMAL, position DECIMAL, time TEXT, milliseconds DECIMAL)
CREATE TABLE seasons (year DECIMAL, url TEXT)
CREATE TABLE driverstandings (driverstandingsid DECIMAL, raceid DECIMAL, driverid DECIMAL, points DECIMAL, position DECIMAL, positiontext TEXT, wins DECIMAL)
CREATE TABLE constructorresults (constructorresultsid DECIMAL, raceid DECIMAL, constructorid DECIMAL, points DECIMAL, status DECIMAL)
CREATE TABLE results (resultid DECIMAL, raceid DECIMAL, driverid DECIMAL, constructorid DECIMAL, number DECIMAL, grid DECIMAL, position DECIMAL, positiontext TEXT, positionorder DECIMAL, points DECIMAL, laps DECIMAL, time TEXT, milliseconds DECIMAL, fastestlap DECIMAL, rank DECIMAL, fastestlaptime TEXT, fastestlapspeed TEXT, statusid DECIMAL)
CREATE TABLE constructorstandings (constructorstandingsid DECIMAL, raceid DECIMAL, constructorid DECIMAL, points DECIMAL, position DECIMAL, positiontext TEXT, wins DECIMAL)
CREATE TABLE qualifying (qualifyid DECIMAL, raceid DECIMAL, driverid DECIMAL, constructorid DECIMAL, number DECIMAL, position DECIMAL, q1 TEXT, q2 TEXT, q3 TEXT)
CREATE TABLE races (raceid DECIMAL, year DECIMAL, round DECIMAL, circuitid DECIMAL, name TEXT, date TEXT, time TEXT, url TEXT)
CREATE TABLE constructors (constructorid DECIMAL, constructorref TEXT, name TEXT, nationality TEXT, url TEXT)
CREATE TABLE drivers (driverid DECIMAL, driverref TEXT, number DECIMAL, code TEXT, forename TEXT, surname TEXT, dob TEXT, nationality TEXT, url TEXT)
|
What are the different names of all the races in reverse alphabetical order?
|
SELECT DISTINCT name FROM races ORDER BY name DESC
|
SELECT DISTINCT "name" FROM "races" ORDER BY "name" DESC NULLS LAST
| 0.06543 |
CREATE TABLE table_19971 ("Province" TEXT, "Prefecture" TEXT, "County" TEXT, "Tujia Population" FLOAT, "% of Chinas Tujia Population" TEXT)
|
If yongshun is the county what is the overall percentage of the chinas tujia population?
|
SELECT "% of Chinas Tujia Population" FROM table_19971 WHERE "County" = 'Yongshun'
|
SELECT "% of Chinas Tujia Population" FROM "table_19971" WHERE "County" = 'Yongshun'
| 0.082031 |
CREATE TABLE table_20589703_2 (summer_team VARCHAR, college VARCHAR, player VARCHAR)
|
What suumer team was James Lomangino from St. John's on?
|
SELECT summer_team FROM table_20589703_2 WHERE college = "St. John's" AND player = "James Lomangino"
|
SELECT "summer_team" FROM "table_20589703_2" WHERE "James Lomangino" = "player" AND "St. John's" = "college"
| 0.105469 |
CREATE TABLE table_5231 ("Year" FLOAT, "Entrant" TEXT, "Chassis" TEXT, "Engine" TEXT, "Tyres" TEXT, "Points" FLOAT)
|
What is a colt racing entrant engine?
|
SELECT "Engine" FROM table_5231 WHERE "Entrant" = 'colt racing'
|
SELECT "Engine" FROM "table_5231" WHERE "Entrant" = 'colt racing'
| 0.063477 |
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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment 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 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 PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE VoteTypes (Id DECIMAL, Name 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 ReviewTaskStates (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 Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
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 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 SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostTags (PostId DECIMAL, TagId 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 PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
|
My Custom ASP.NET Web Pages query.
|
SELECT * FROM Posts WHERE Title LIKE 'ASP.NET Web Pages%'
|
SELECT * FROM "Posts" WHERE "Title" LIKE 'ASP.NET Web Pages%'
| 0.05957 |
CREATE TABLE table_name_22 (date VARCHAR, week VARCHAR)
|
Which date has 1 as the week?
|
SELECT date FROM table_name_22 WHERE week = 1
|
SELECT "date" FROM "table_name_22" WHERE "week" = 1
| 0.049805 |
CREATE TABLE table_22270 ("Departure" TEXT, "Going to" TEXT, "Calling at" TEXT, "Arrival" TEXT, "Operator" TEXT)
|
What is the calling at for the 09.50 departure?
|
SELECT "Calling at" FROM table_22270 WHERE "Departure" = '09.50'
|
SELECT "Calling at" FROM "table_22270" WHERE "Departure" = '09.50'
| 0.064453 |
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
|
what is patient 006-21388's minimum respiration value on 06/08/last year?
|
SELECT MIN(vitalperiodic.respiration) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-21388')) AND NOT vitalperiodic.respiration IS NULL AND DATETIME(vitalperiodic.observationtime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m-%d', vitalperiodic.observationtime) = '06-08'
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-21388' 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 MIN("vitalperiodic"."respiration") FROM "vitalperiodic" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE DATETIME("vitalperiodic"."observationtime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."respiration" IS NULL AND STRFTIME('%m-%d', "vitalperiodic"."observationtime") = '06-08'
| 0.741211 |
CREATE TABLE table_24157 ("Fighter" TEXT, "Fights of the Night" FLOAT, "Knockouts of the Night" FLOAT, "Submissions of the Night" FLOAT, "Awards Total" FLOAT, "Status" TEXT)
|
How many knockout of the night occurred when joe lauzon fought.
|
SELECT "Knockouts of the Night" FROM table_24157 WHERE "Fighter" = 'Joe Lauzon'
|
SELECT "Knockouts of the Night" FROM "table_24157" WHERE "Fighter" = 'Joe Lauzon'
| 0.079102 |
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 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)
|
what is diagnoses long title and procedure long title of subject id 83678?
|
SELECT diagnoses.long_title, procedures.long_title FROM diagnoses INNER JOIN procedures ON diagnoses.hadm_id = procedures.hadm_id WHERE diagnoses.subject_id = "83678"
|
SELECT "diagnoses"."long_title", "procedures"."long_title" FROM "diagnoses" JOIN "procedures" ON "diagnoses"."hadm_id" = "procedures"."hadm_id" WHERE "83678" = "diagnoses"."subject_id"
| 0.179688 |
CREATE TABLE problems (reported_by_staff_id VARCHAR, closure_authorised_by_staff_id VARCHAR)
CREATE TABLE staff (staff_id VARCHAR, staff_first_name VARCHAR, staff_last_name VARCHAR)
|
What are the product ids for the problems reported by Christop Berge with closure authorised by Ashley Medhurst?
|
SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Christop" AND T2.staff_last_name = "Berge" INTERSECT SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.closure_authorised_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Ashley" AND T2.staff_last_name = "Medhurst"
|
SELECT "product_id" FROM "problems" AS "T1" JOIN "staff" AS "T2" ON "Berge" = "T2"."staff_last_name" AND "Christop" = "T2"."staff_first_name" AND "T1"."reported_by_staff_id" = "T2"."staff_id" INTERSECT SELECT "product_id" FROM "problems" AS "T1" JOIN "staff" AS "T2" ON "Ashley" = "T2"."staff_first_name" AND "Medhurst" = "T2"."staff_last_name" AND "T1"."closure_authorised_by_staff_id" = "T2"."staff_id"
| 0.394531 |
CREATE TABLE table_72836 ("Country" TEXT, "Skip" TEXT, "W" FLOAT, "L" FLOAT, "PF" FLOAT, "PA" FLOAT, "Ends Won" FLOAT, "Ends Lost" FLOAT, "Blank Ends" FLOAT, "Stolen Ends" FLOAT, "Shot %" FLOAT)
|
What is Norway's least ends lost?
|
SELECT MIN("Ends Lost") FROM table_72836 WHERE "Country" = 'Norway'
|
SELECT MIN("Ends Lost") FROM "table_72836" WHERE "Country" = 'Norway'
| 0.067383 |
CREATE TABLE table_204_471 (id DECIMAL, "year" DECIMAL, "title" TEXT, "peak chart positions\ ger" DECIMAL, "label" TEXT, "artist" TEXT)
|
how many compilation albums did they release in 1997 ?
|
SELECT COUNT("title") FROM table_204_471 WHERE "year" = 1997
|
SELECT COUNT("title") FROM "table_204_471" WHERE "year" = 1997
| 0.060547 |
CREATE TABLE table_name_51 (owner VARCHAR, frequency VARCHAR)
|
Which owner has the frequency of 103.3 FM?
|
SELECT owner FROM table_name_51 WHERE frequency = "103.3 fm"
|
SELECT "owner" FROM "table_name_51" WHERE "103.3 fm" = "frequency"
| 0.064453 |
CREATE TABLE table_31190 ("Year" TEXT, "Universities" FLOAT, "No. of Students Signed up" FLOAT, "% electricity reduction" TEXT, "Tonnes of CO2 Saved" FLOAT, "\\u00a3 Saved" TEXT)
|
When 8.9% is the electricity reduction percentage what is the saved?
|
SELECT "\u00a3 Saved" FROM table_31190 WHERE "% electricity reduction" = '8.9%'
|
SELECT "\u00a3 Saved" FROM "table_31190" WHERE "% electricity reduction" = '8.9%'
| 0.079102 |
CREATE TABLE table_17766232_7 (semi_final_television_commentator VARCHAR, spokesperson VARCHAR, final_television_commentator VARCHAR)
|
Who was the semi-final television commentator when the spokesperson was Colin Berry and the final television commentator was Pete Murray?
|
SELECT semi_final_television_commentator FROM table_17766232_7 WHERE spokesperson = "Colin Berry" AND final_television_commentator = "Pete Murray"
|
SELECT "semi_final_television_commentator" FROM "table_17766232_7" WHERE "Colin Berry" = "spokesperson" AND "Pete Murray" = "final_television_commentator"
| 0.150391 |
CREATE TABLE county_public_safety (county_id DECIMAL, name TEXT, population DECIMAL, police_officers DECIMAL, residents_per_officer DECIMAL, case_burden DECIMAL, crime_rate DECIMAL, police_force TEXT, location TEXT)
CREATE TABLE city (city_id DECIMAL, county_id DECIMAL, name TEXT, white DECIMAL, black DECIMAL, amerindian DECIMAL, asian DECIMAL, multiracial DECIMAL, hispanic DECIMAL)
|
Show the police force shared by counties with location on the east and west.
|
SELECT police_force FROM county_public_safety WHERE location = "East" INTERSECT SELECT police_force FROM county_public_safety WHERE location = "West"
|
SELECT "police_force" FROM "county_public_safety" WHERE "East" = "location" INTERSECT SELECT "police_force" FROM "county_public_safety" WHERE "West" = "location"
| 0.157227 |
CREATE TABLE table_name_35 (credentials_presented VARCHAR, state VARCHAR)
|
What day were credentials presented for vermont?
|
SELECT credentials_presented FROM table_name_35 WHERE state = "vermont"
|
SELECT "credentials_presented" FROM "table_name_35" WHERE "state" = "vermont"
| 0.075195 |
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 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 lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
|
show me the number of elective hospital admission patients who have atorvastatin prescription.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND prescriptions.drug = "Atorvastatin"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Atorvastatin" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "ELECTIVE" = "demographic"."admission_type"
| 0.232422 |
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 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 diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
what is admission type and admission location of subject name charley pescatore?
|
SELECT demographic.admission_type, demographic.admission_location FROM demographic WHERE demographic.name = "Charley Pescatore"
|
SELECT "demographic"."admission_type", "demographic"."admission_location" FROM "demographic" WHERE "Charley Pescatore" = "demographic"."name"
| 0.137695 |
CREATE TABLE table_60403 ("Game" TEXT, "Date" TEXT, "Home Team" TEXT, "Result" TEXT, "Road Team" TEXT)
|
What is Game, when Road Team is 'Syracuse', and when Result is '109-82'?
|
SELECT "Game" FROM table_60403 WHERE "Road Team" = 'syracuse' AND "Result" = '109-82'
|
SELECT "Game" FROM "table_60403" WHERE "Result" = '109-82' AND "Road Team" = 'syracuse'
| 0.084961 |
CREATE TABLE table_name_86 (model_number VARCHAR, voltage VARCHAR, frequency VARCHAR)
|
What is the Model Number, when the Voltage is 3.45 V, and when the Frequency is 133 MHZ?
|
SELECT model_number FROM table_name_86 WHERE voltage = "3.45 v" AND frequency = "133 mhz"
|
SELECT "model_number" FROM "table_name_86" WHERE "133 mhz" = "frequency" AND "3.45 v" = "voltage"
| 0.094727 |
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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom 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 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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name 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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime 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 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 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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
|
what dose of calcium gluconate was last prescribed to patient 95470 since 12/2102?
|
SELECT prescriptions.dose_val_rx FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 95470) AND prescriptions.drug = 'calcium gluconate' AND STRFTIME('%y-%m', prescriptions.startdate) >= '2102-12' ORDER BY prescriptions.startdate DESC LIMIT 1
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 95470 GROUP BY "hadm_id") SELECT "prescriptions"."dose_val_rx" FROM "prescriptions" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'calcium gluconate' AND NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "prescriptions"."startdate") >= '2102-12' ORDER BY "prescriptions"."startdate" DESC NULLS LAST LIMIT 1
| 0.44043 |
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
|
since 2102, what were the five most frequent medications prescribed to the motor neuropathy - multiple sclerosis male patients 50s during the same month after they were diagnosed with motor neuropathy - multiple sclerosis?
|
SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'motor neuropathy - multiple sclerosis' AND STRFTIME('%y', diagnosis.diagnosistime) >= '2102') AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE patient.gender = 'male' AND patient.age BETWEEN 50 AND 59 AND STRFTIME('%y', medication.drugstarttime) >= '2102') AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.drugstarttime AND DATETIME(t1.diagnosistime, 'start of month') = DATETIME(t2.drugstarttime, 'start of month') GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 5
|
WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugname", "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" AND "patient"."age" <= 59 AND "patient"."age" >= 50 AND "patient"."gender" = 'male' WHERE STRFTIME('%y', "medication"."drugstarttime") >= '2102'), "t3" AS (SELECT "t2"."drugname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" AS "t2" ON "diagnosis"."diagnosistime" < "t2"."drugstarttime" AND "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("diagnosis"."diagnosistime", 'start of month') = DATETIME("t2"."drugstarttime", 'start of month') WHERE "diagnosis"."diagnosisname" = 'motor neuropathy - multiple sclerosis' AND STRFTIME('%y', "diagnosis"."diagnosistime") >= '2102' GROUP BY "t2"."drugname") SELECT "t3"."drugname" FROM "t3" AS "t3" WHERE "t3"."c1" <= 5
| 0.96582 |
CREATE TABLE people (People_ID INT, Sex TEXT, Name TEXT, Date_of_Birth TEXT, Height FLOAT, Weight FLOAT)
CREATE TABLE candidate (Candidate_ID INT, People_ID INT, Poll_Source TEXT, Date TEXT, Support_rate FLOAT, Consider_rate FLOAT, Oppose_rate FLOAT, Unsure_rate FLOAT)
|
A bar chart showing the average weight for each gender, I want to sort total number from high to low order.
|
SELECT Sex, AVG(Weight) FROM people GROUP BY Sex ORDER BY AVG(Weight) DESC
|
SELECT "Sex", AVG("Weight") FROM "people" GROUP BY "Sex" ORDER BY AVG("Weight") DESC NULLS LAST
| 0.092773 |
CREATE TABLE table_name_25 (time INT, stage VARCHAR, year VARCHAR)
|
What is the total amount of time for years prior to 2013 when speed option is the stage?
|
SELECT SUM(time) FROM table_name_25 WHERE stage = "speed option" AND year < 2013
|
SELECT SUM("time") FROM "table_name_25" WHERE "speed option" = "stage" AND "year" < 2013
| 0.085938 |
CREATE TABLE table_30121096_1 (poor_law_union VARCHAR, area__acres__ VARCHAR, civil_parish VARCHAR)
|
How many poor law unions have an area of 262 acres and is in drinagh civil parish?
|
SELECT COUNT(poor_law_union) FROM table_30121096_1 WHERE area__acres__ = 262 AND civil_parish = "Drinagh"
|
SELECT COUNT("poor_law_union") FROM "table_30121096_1" WHERE "Drinagh" = "civil_parish" AND "area__acres__" = 262
| 0.110352 |
CREATE TABLE table_30147 ("No. in series" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production" TEXT, "U.S. viewers ( in millions ) " TEXT)
|
Who directed the episode written by karina csolty
|
SELECT "Directed by" FROM table_30147 WHERE "Written by" = 'Karina Csolty'
|
SELECT "Directed by" FROM "table_30147" WHERE "Written by" = 'Karina Csolty'
| 0.074219 |
CREATE TABLE table_46502 ("Name" TEXT, "Club" TEXT, "Position" TEXT, "Years" TEXT, "Current status" TEXT)
|
In what Years was the Player in MF Position?
|
SELECT "Years" FROM table_46502 WHERE "Position" = 'mf'
|
SELECT "Years" FROM "table_46502" WHERE "Position" = 'mf'
| 0.055664 |
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 program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_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 area (course_id INT, area 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 gsi (course_offering_id INT, student_id INT)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id 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 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)
|
May I please see my transcript ?
|
SELECT DISTINCT course.department, course.name, course.number, semester.semester, semester.year, student_record.grade FROM course, semester, student_record WHERE student_record.course_id = course.course_id AND student_record.semester = semester.semester_id AND student_record.student_id = 1
|
SELECT DISTINCT "course"."department", "course"."name", "course"."number", "semester"."semester", "semester"."year", "student_record"."grade" FROM "course" JOIN "student_record" ON "course"."course_id" = "student_record"."course_id" AND "student_record"."student_id" = 1 JOIN "semester" ON "semester"."semester_id" = "student_record"."semester"
| 0.335938 |
CREATE TABLE table_2679061_12 (position VARCHAR, player VARCHAR)
|
What position does peter mcgeough cover?
|
SELECT position FROM table_2679061_12 WHERE player = "Peter McGeough"
|
SELECT "position" FROM "table_2679061_12" WHERE "Peter McGeough" = "player"
| 0.073242 |
CREATE TABLE table_name_17 (attendance VARCHAR, record VARCHAR)
|
What was total attendance on the day they went 17-7?
|
SELECT COUNT(attendance) FROM table_name_17 WHERE record = "17-7"
|
SELECT COUNT("attendance") FROM "table_name_17" WHERE "17-7" = "record"
| 0.069336 |
CREATE TABLE table_19760_1 (understanding VARCHAR, reason VARCHAR)
|
What is the understanding of the one that has nous reasoning?
|
SELECT understanding FROM table_19760_1 WHERE reason = "νοῦς Nous"
|
SELECT "understanding" FROM "table_19760_1" WHERE "reason" = "νοῦς Nous"
| 0.070313 |
CREATE TABLE rating (rid DECIMAL, mid DECIMAL, stars DECIMAL, ratingdate TIME)
CREATE TABLE movie (mid DECIMAL, title TEXT, year DECIMAL, director TEXT)
CREATE TABLE reviewer (rid DECIMAL, name TEXT)
|
Find the names of all reviewers who rated Gone with the Wind.
|
SELECT DISTINCT T3.name FROM rating AS T1 JOIN movie AS T2 ON T1.mid = T2.mid JOIN reviewer AS T3 ON T1.rid = T3.rid WHERE T2.title = 'Gone with the Wind'
|
SELECT DISTINCT "T3"."name" FROM "rating" AS "T1" JOIN "movie" AS "T2" ON "T1"."mid" = "T2"."mid" AND "T2"."title" = 'Gone with the Wind' JOIN "reviewer" AS "T3" ON "T1"."rid" = "T3"."rid"
| 0.183594 |
CREATE TABLE table_name_36 (tv_station__operator_ VARCHAR)
|
What's the 2005 of TV3 when there is less than 42 in 2007 and less than 29.5 in 2010?
|
SELECT MAX(2005) FROM table_name_36 WHERE 2007 < 42 AND tv_station__operator_ = "tv3" AND 2010 < 29.5
|
SELECT MAX(2005) FROM "table_name_36" WHERE FALSE
| 0.047852 |
CREATE TABLE table_62882 ("Team" TEXT, "Outgoing manager" TEXT, "Date Outgoing" TEXT, "Reason of departure" TEXT, "Replaced by" TEXT, "Date of Replacement" TEXT)
|
When did the manager take over for the manager that left on August 20, 2008?
|
SELECT "Date of Replacement" FROM table_62882 WHERE "Date Outgoing" = 'august 20, 2008'
|
SELECT "Date of Replacement" FROM "table_62882" WHERE "Date Outgoing" = 'august 20, 2008'
| 0.086914 |
CREATE TABLE table_64908 ("School" TEXT, "City" TEXT, "Team Name" TEXT, "County" TEXT, "Year Joined" TEXT, "Year Left" TEXT)
|
Which school comes from Brookville?
|
SELECT "School" FROM table_64908 WHERE "City" = 'brookville'
|
SELECT "School" FROM "table_64908" WHERE "City" = 'brookville'
| 0.060547 |
CREATE TABLE table_name_66 (location_attendance VARCHAR, date VARCHAR)
|
What is the Location/Attendance on Dec 14?
|
SELECT location_attendance FROM table_name_66 WHERE date = "dec 14"
|
SELECT "location_attendance" FROM "table_name_66" WHERE "date" = "dec 14"
| 0.071289 |
CREATE TABLE table_27059 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" FLOAT)
|
When 123 is the number in series who is the director?
|
SELECT "Directed by" FROM table_27059 WHERE "No. in series" = '123'
|
SELECT "Directed by" FROM "table_27059" WHERE "No. in series" = '123'
| 0.067383 |
CREATE TABLE table_19905 ("Series Ep." TEXT, "Episode" FLOAT, "Netflix" TEXT, "Segment A" TEXT, "Segment B" TEXT, "Segment C" TEXT, "Segment D" TEXT)
|
What is Segment A where Segment C is Sushi (part 1)?
|
SELECT "Segment A" FROM table_19905 WHERE "Segment C" = 'Sushi (Part 1)'
|
SELECT "Segment A" FROM "table_19905" WHERE "Segment C" = 'Sushi (Part 1)'
| 0.072266 |
CREATE TABLE table_10377 ("Rank" TEXT, "Name" TEXT, "Height ft / m" TEXT, "Floors" FLOAT, "Year" FLOAT)
|
Name the year for 8 rank
|
SELECT "Year" FROM table_10377 WHERE "Rank" = '8'
|
SELECT "Year" FROM "table_10377" WHERE "Rank" = '8'
| 0.049805 |
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college 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 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 course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE 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 program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
|
In Summer 2003 , can I take GREEKMOD 505 ?
|
SELECT COUNT(*) > 0 FROM (SELECT course_id FROM student_record WHERE earn_credit = 'Y' AND student_id = 1) AS DERIVED_TABLEalias0, course AS COURSEalias0, course_offering AS COURSE_OFFERINGalias0, semester AS SEMESTERalias0 WHERE COURSEalias0.course_id = COURSE_OFFERINGalias0.course_id AND NOT COURSEalias0.course_id IN (DERIVED_TABLEalias0.course_id) AND NOT COURSEalias0.course_id IN (SELECT DISTINCT COURSE_PREREQUISITEalias0.course_id FROM course_prerequisite AS COURSE_PREREQUISITEalias0 WHERE NOT COURSE_PREREQUISITEalias0.pre_course_id IN (DERIVED_TABLEalias0.course_id)) AND COURSEalias0.department = 'GREEKMOD' AND COURSEalias0.number = 505 AND SEMESTERalias0.semester = 'Summer' AND SEMESTERalias0.semester_id = COURSE_OFFERINGalias0.semester AND SEMESTERalias0.year = 2003
|
SELECT COUNT(*) > 0 FROM "student_record" JOIN "course" AS "COURSEalias0" ON "COURSEalias0"."department" = 'GREEKMOD' AND "COURSEalias0"."number" = 505 AND NOT "COURSEalias0"."course_id" IN ("course_id") AND NOT "COURSEalias0"."course_id" IN (SELECT DISTINCT "COURSE_PREREQUISITEalias0"."course_id" FROM "course_prerequisite" AS "COURSE_PREREQUISITEalias0" WHERE NOT "COURSE_PREREQUISITEalias0"."pre_course_id" IN ("course_id")) JOIN "course_offering" AS "COURSE_OFFERINGalias0" ON "COURSE_OFFERINGalias0"."course_id" = "COURSEalias0"."course_id" JOIN "semester" AS "SEMESTERalias0" ON "COURSE_OFFERINGalias0"."semester" = "SEMESTERalias0"."semester_id" AND "SEMESTERalias0"."semester" = 'Summer' AND "SEMESTERalias0"."year" = 2003 WHERE "earn_credit" = 'Y' AND "student_id" = 1
| 0.759766 |
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
|
Return a bar chart about the distribution of ACC_Road and the amount of ACC_Road , and group by attribute ACC_Road, and display from high to low by the ACC_Road.
|
SELECT ACC_Road, COUNT(ACC_Road) FROM basketball_match GROUP BY ACC_Road ORDER BY ACC_Road DESC
|
SELECT "ACC_Road", COUNT("ACC_Road") FROM "basketball_match" GROUP BY "ACC_Road" ORDER BY "ACC_Road" DESC NULLS LAST
| 0.113281 |
CREATE TABLE table_1242447_2 (strongs__number VARCHAR, hebrew_word VARCHAR)
|
What is the strongs # for the hebrew word ?
|
SELECT strongs__number FROM table_1242447_2 WHERE hebrew_word = "יִרְמְיָה"
|
SELECT "strongs__number" FROM "table_1242447_2" WHERE "hebrew_word" = "יִרְמְיָה"
| 0.079102 |
CREATE TABLE table_17664 ("Strongs #" TEXT, "Hebrew word" TEXT, "Strongs Transliteration" TEXT, "Strongs Words Compounded" TEXT, "English Spelling" TEXT)
|
What is the strongs # for the english spelling of the word jirmejah?
|
SELECT "Strongs #" FROM table_17664 WHERE "English Spelling" = 'Jirmejah'
|
SELECT "Strongs #" FROM "table_17664" WHERE "English Spelling" = 'Jirmejah'
| 0.073242 |
CREATE TABLE table_79660 ("Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Opponent in final" TEXT, "Score" TEXT, "Prize Money" TEXT)
|
What is the score of the hard court Ramat Hasharon tournament?
|
SELECT "Score" FROM table_79660 WHERE "Surface" = 'hard' AND "Tournament" = 'ramat hasharon'
|
SELECT "Score" FROM "table_79660" WHERE "Surface" = 'hard' AND "Tournament" = 'ramat hasharon'
| 0.091797 |
CREATE TABLE table_name_20 (score VARCHAR, tournament VARCHAR)
|
What was the score of the Washington tournament?
|
SELECT score FROM table_name_20 WHERE tournament = "washington"
|
SELECT "score" FROM "table_name_20" WHERE "tournament" = "washington"
| 0.067383 |
CREATE TABLE table_29626583_3 (mls_team VARCHAR, player VARCHAR)
|
Which MLS team picked player Jason Herrick?
|
SELECT mls_team FROM table_29626583_3 WHERE player = "Jason Herrick"
|
SELECT "mls_team" FROM "table_29626583_3" WHERE "Jason Herrick" = "player"
| 0.072266 |
CREATE TABLE table_15075 ("Position" FLOAT, "Artist" TEXT, "Song" TEXT, "Points" FLOAT, "Place" TEXT)
|
What was the place with 90 point total but a position less than 5?
|
SELECT "Place" FROM table_15075 WHERE "Position" < '5' AND "Points" = '90'
|
SELECT "Place" FROM "table_15075" WHERE "Points" = '90' AND "Position" < '5'
| 0.074219 |
CREATE TABLE table_name_86 (location VARCHAR, mascot VARCHAR)
|
What school has the Lancers as their mascot?
|
SELECT location FROM table_name_86 WHERE mascot = "lancers"
|
SELECT "location" FROM "table_name_86" WHERE "lancers" = "mascot"
| 0.063477 |
CREATE TABLE table_204_997 (id DECIMAL, "#" TEXT, "title" TEXT, "celebrity guest ( s ) " TEXT, "directed by" TEXT, "written by" TEXT, "original airdate" TEXT)
|
which of the 9 episodes in series 1 of mongrels had the most celebrity guests ?
|
SELECT "#" FROM table_204_997 ORDER BY "celebrity guest(s)" DESC LIMIT 1
|
SELECT "#" FROM "table_204_997" ORDER BY "celebrity guest(s)" DESC NULLS LAST LIMIT 1
| 0.083008 |
CREATE TABLE table_name_72 (season VARCHAR, head_coach VARCHAR, europe VARCHAR)
|
WHAT SEASON HAD COACH JONAS KAZLAUSKAS AT champions cup group stage?
|
SELECT season FROM table_name_72 WHERE head_coach = "jonas kazlauskas" AND europe = "champions cup group stage"
|
SELECT "season" FROM "table_name_72" WHERE "champions cup group stage" = "europe" AND "head_coach" = "jonas kazlauskas"
| 0.116211 |
CREATE TABLE table_4821 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
How many attended the game when the away team's score is 10.19 (79)?
|
SELECT COUNT("Crowd") FROM table_4821 WHERE "Away team score" = '10.19 (79)'
|
SELECT COUNT("Crowd") FROM "table_4821" WHERE "Away team score" = '10.19 (79)'
| 0.076172 |
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)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
|
how many male patients have gastrointestinal bleed as their primary disease?
|
SELECT MAX(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.diagnosis = "GASTROINTESTINAL BLEED"
|
SELECT MAX("demographic"."age") FROM "demographic" WHERE "GASTROINTESTINAL BLEED" = "demographic"."diagnosis" AND "M" = "demographic"."gender"
| 0.138672 |
CREATE TABLE table_test_9 ("id" INT, "ejection_fraction_ef" INT, "anemia" BOOLEAN, "child_pugh_class" TEXT, "systolic_blood_pressure_sbp" INT, "leukopenia" INT, "heart_disease" BOOLEAN, "stroke" BOOLEAN, "av_block" BOOLEAN, "renal_disease" BOOLEAN, "hepatic_disease" BOOLEAN, "estimated_glomerular_filtration_rate_egfr" INT, "thrombocytopenia" FLOAT, "hemodynamic_instability" BOOLEAN, "heart_rate" INT, "malignancy" BOOLEAN, "pr" INT, "plt" INT, "NOUSE" FLOAT)
|
renal failure or dysfunction
|
SELECT * FROM table_test_9 WHERE renal_disease = 1 OR renal_disease = 1
|
SELECT * FROM "table_test_9" WHERE "renal_disease" = 1
| 0.052734 |
CREATE TABLE table_32065 ("Title" TEXT, "Japan" TEXT, "North America" TEXT, "Europe" TEXT, "Australia" TEXT)
|
Tell me the Europe for z.h.p. unlosing ranger vs darkdeath evilman
|
SELECT "Europe" FROM table_32065 WHERE "Title" = 'z.h.p. unlosing ranger vs darkdeath evilman'
|
SELECT "Europe" FROM "table_32065" WHERE "Title" = 'z.h.p. unlosing ranger vs darkdeath evilman'
| 0.09375 |
CREATE TABLE table_1570 ("Series #" FLOAT, "Season #" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original airdate" TEXT)
|
How many episodes were named 'Dogcatcher in the Rye'?
|
SELECT COUNT("Directed by") FROM table_1570 WHERE "Title" = 'Dogcatcher in the Rye'
|
SELECT COUNT("Directed by") FROM "table_1570" WHERE "Title" = 'Dogcatcher in the Rye'
| 0.083008 |
CREATE TABLE table_2139 ("Order" FLOAT, "Couple" TEXT, "Karen" TEXT, "Nicky" TEXT, "Jason" TEXT, "Ruthie" TEXT, "Robin" TEXT, "Total" TEXT, "Skating song" TEXT, "Scoreboard" TEXT, "Public vote" TEXT)
|
how many coupless totalled 14.5
|
SELECT COUNT("Couple") FROM table_2139 WHERE "Total" = '14.5'
|
SELECT COUNT("Couple") FROM "table_2139" WHERE "Total" = '14.5'
| 0.061523 |
CREATE TABLE table_name_76 (class VARCHAR, frequency_mhz VARCHAR)
|
Which Class has a Frequency MHz of 107.5?
|
SELECT class FROM table_name_76 WHERE frequency_mhz = 107.5
|
SELECT "class" FROM "table_name_76" WHERE "frequency_mhz" = 107.5
| 0.063477 |
CREATE TABLE table_name_1 (wins INT, class VARCHAR, year VARCHAR)
|
Count the average Wins which has a Class of 250cc, and a Year of 1972?
|
SELECT AVG(wins) FROM table_name_1 WHERE class = "250cc" AND year = 1972
|
SELECT AVG("wins") FROM "table_name_1" WHERE "250cc" = "class" AND "year" = 1972
| 0.078125 |
CREATE TABLE Person (name VARCHAR, age INT, city TEXT, gender TEXT, job TEXT)
CREATE TABLE PersonFriend (name VARCHAR, friend VARCHAR, year INT)
|
Return a pie on what is the average age for a male in each job?
|
SELECT job, AVG(age) FROM Person WHERE gender = 'male' GROUP BY job
|
SELECT "job", AVG("age") FROM "Person" WHERE "gender" = 'male' GROUP BY "job"
| 0.075195 |
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE 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 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 ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE 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 restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE 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 city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code 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 dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
|
which airline has more BUSINESS class flights than any other airline
|
SELECT DISTINCT COUNT(*), flight.airline_code FROM fare, fare_basis, flight, flight_fare WHERE fare_basis.class_type = 'BUSINESS' AND fare.fare_basis_code = fare_basis.fare_basis_code AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id GROUP BY flight.airline_code
|
SELECT DISTINCT COUNT(*), "flight"."airline_code" FROM "fare" JOIN "fare_basis" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" AND "fare_basis"."class_type" = 'BUSINESS' JOIN "flight_fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "flight" ON "flight"."flight_id" = "flight_fare"."flight_id" GROUP BY "flight"."airline_code"
| 0.338867 |
CREATE TABLE table_name_1 (week_8_oct_26 VARCHAR, week_12_nov_23 VARCHAR)
|
What is the week 8 Oct 26 standing with georgia tech (8-2) on week 12 Nov 23?
|
SELECT week_8_oct_26 FROM table_name_1 WHERE week_12_nov_23 = "georgia tech (8-2)"
|
SELECT "week_8_oct_26" FROM "table_name_1" WHERE "georgia tech (8-2)" = "week_12_nov_23"
| 0.085938 |
CREATE TABLE table_39736 ("Rank" FLOAT, "Country" TEXT, "UNWTO Region" TEXT, "International tourism expenditure ( 2012 ) " TEXT, "International tourism expenditure ( 2011 ) " TEXT)
|
What is China's International tourism expenditure (2011)?
|
SELECT "International tourism expenditure (2011)" FROM table_39736 WHERE "Country" = 'china'
|
SELECT "International tourism expenditure (2011)" FROM "table_39736" WHERE "Country" = 'china'
| 0.091797 |
CREATE TABLE table_39228 ("Year" FLOAT, "Dates" TEXT, "Champion" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT, "Margin of victory" TEXT)
|
Which Year is the lowest one that has a To par of 1?
|
SELECT MIN("Year") FROM table_39228 WHERE "To par" = '–1'
|
SELECT MIN("Year") FROM "table_39228" WHERE "To par" = '–1'
| 0.057617 |
CREATE TABLE rooms (roomid TEXT, roomname TEXT, beds DECIMAL, bedtype TEXT, maxoccupancy DECIMAL, baseprice DECIMAL, decor TEXT)
CREATE TABLE reservations (code DECIMAL, room TEXT, checkin TEXT, checkout TEXT, rate DECIMAL, lastname TEXT, firstname TEXT, adults DECIMAL, kids DECIMAL)
|
How many rooms have a king bed?
|
SELECT COUNT(*) FROM rooms WHERE bedtype = "King"
|
SELECT COUNT(*) FROM "rooms" WHERE "King" = "bedtype"
| 0.051758 |
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
|
how many patients were prescribed with ultram within 2 months following the diagnosis of acute coronary syndrome - acute myocardial infarction (no st elevation), until 3 years ago?
|
SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'acute coronary syndrome - acute myocardial infarction (no st elevation)' AND DATETIME(diagnosis.diagnosistime) <= DATETIME(CURRENT_TIME(), '-3 year')) AS t1 JOIN (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'ultram' AND DATETIME(medication.drugstarttime) <= DATETIME(CURRENT_TIME(), '-3 year')) AS t2 WHERE t1.diagnosistime < t2.drugstarttime AND DATETIME(t2.drugstarttime) BETWEEN DATETIME(t1.diagnosistime) AND DATETIME(t1.diagnosistime, '+2 month')
|
SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "medication" ON "diagnosis"."diagnosistime" < "medication"."drugstarttime" AND "medication"."drugname" = 'ultram' AND DATETIME("diagnosis"."diagnosistime") <= DATETIME("medication"."drugstarttime") AND DATETIME("diagnosis"."diagnosistime", '+2 month') >= DATETIME("medication"."drugstarttime") AND DATETIME("medication"."drugstarttime") <= DATETIME(CURRENT_TIME(), '-3 year') JOIN "patient" AS "patient_2" ON "medication"."patientunitstayid" = "patient_2"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'acute coronary syndrome - acute myocardial infarction (no st elevation)' AND DATETIME("diagnosis"."diagnosistime") <= DATETIME(CURRENT_TIME(), '-3 year')
| 0.795898 |
CREATE TABLE table_name_45 (home_team VARCHAR)
|
What was the score for the home team of essendon?
|
SELECT home_team AS score FROM table_name_45 WHERE home_team = "essendon"
|
SELECT "home_team" AS "score" FROM "table_name_45" WHERE "essendon" = "home_team"
| 0.079102 |
CREATE TABLE table_77458 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT)
|
What country is player ed sneed, who has a to par of +3, from?
|
SELECT "Country" FROM table_77458 WHERE "To par" = '+3' AND "Player" = 'ed sneed'
|
SELECT "Country" FROM "table_77458" WHERE "Player" = 'ed sneed' AND "To par" = '+3'
| 0.081055 |
CREATE TABLE table_46159 ("Year" FLOAT, "Tournament" TEXT, "Venue" TEXT, "Result" TEXT, "Extra" TEXT)
|
What is the total number of years wehre anna thompson had a 3rd place result at edinburgh, scotland?
|
SELECT COUNT("Year") FROM table_46159 WHERE "Result" = '3rd' AND "Venue" = 'edinburgh, scotland'
|
SELECT COUNT("Year") FROM "table_46159" WHERE "Result" = '3rd' AND "Venue" = 'edinburgh, scotland'
| 0.095703 |
CREATE TABLE personfriend (name TEXT, friend TEXT, year DECIMAL)
CREATE TABLE person (name TEXT, age DECIMAL, city TEXT, gender TEXT, job TEXT)
|
Find the name and age of all males in order of their age.
|
SELECT name FROM person WHERE gender = 'male' ORDER BY age
|
SELECT "name" FROM "person" WHERE "gender" = 'male' ORDER BY "age" NULLS FIRST
| 0.076172 |
CREATE TABLE camera_lens (name VARCHAR)
|
List the camera lens names containing substring 'Digital'.
|
SELECT name FROM camera_lens WHERE name LIKE "%Digital%"
|
SELECT "name" FROM "camera_lens" WHERE "name" LIKE "%Digital%"
| 0.060547 |
CREATE TABLE table_name_26 (driver_s_ VARCHAR, sponsor_s_ VARCHAR)
|
Which Driver has a Sponsor of pdvsa?
|
SELECT driver_s_ FROM table_name_26 WHERE sponsor_s_ = "pdvsa"
|
SELECT "driver_s_" FROM "table_name_26" WHERE "pdvsa" = "sponsor_s_"
| 0.066406 |
CREATE TABLE table_name_19 (venue VARCHAR, winner VARCHAR)
|
What is the Venue, when the Winner is iain pyman?
|
SELECT venue FROM table_name_19 WHERE winner = "iain pyman"
|
SELECT "venue" FROM "table_name_19" WHERE "iain pyman" = "winner"
| 0.063477 |
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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod 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 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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE 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 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_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title 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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
|
what is a weight difference of patient 5849 second measured on the last hospital visit compared to the first value measured on the last hospital visit?
|
SELECT (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 5849 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime LIMIT 1 OFFSET 1) - (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 5849 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime LIMIT 1)
|
WITH "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'admit wt' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."icustay_id" IN (SELECT "icustays"."icustay_id" FROM "icustays" WHERE "icustays"."hadm_id" IN (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 5849 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" DESC NULLS LAST LIMIT 1)) AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" NULLS FIRST LIMIT 1 OFFSET 1) - (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_2" AS "_u_6" ON "_u_6"."" = "chartevents"."itemid" WHERE "chartevents"."icustay_id" IN (SELECT "icustays"."icustay_id" FROM "icustays" WHERE "icustays"."hadm_id" IN (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 5849 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" DESC NULLS LAST LIMIT 1)) AND NOT "_u_6"."" IS NULL ORDER BY "chartevents"."charttime" NULLS FIRST LIMIT 1)
| 1.146484 |
CREATE TABLE table_1140111_5 (constructor VARCHAR, circuit VARCHAR)
|
Who constructed the Syracuse circuit?
|
SELECT constructor FROM table_1140111_5 WHERE circuit = "Syracuse"
|
SELECT "constructor" FROM "table_1140111_5" WHERE "Syracuse" = "circuit"
| 0.070313 |
CREATE TABLE table_35652 ("Games" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Points difference" TEXT, "Points" FLOAT)
|
What game is the lowest with 1 draw and less than 7 points?
|
SELECT MIN("Games") FROM table_35652 WHERE "Drawn" = '1' AND "Points" < '7'
|
SELECT MIN("Games") FROM "table_35652" WHERE "Drawn" = '1' AND "Points" < '7'
| 0.075195 |
CREATE TABLE table_name_84 (joined INT, conference_championships VARCHAR, institution VARCHAR)
|
What is the latest year joined with a Conference championships of 5, and an Institution of university of north carolina?
|
SELECT MAX(joined) FROM table_name_84 WHERE conference_championships = 5 AND institution = "university of north carolina"
|
SELECT MAX("joined") FROM "table_name_84" WHERE "conference_championships" = 5 AND "institution" = "university of north carolina"
| 0.125977 |
CREATE TABLE all_documents (document_id DECIMAL, date_stored TIME, document_type_code TEXT, document_name TEXT, document_description TEXT, other_details TEXT)
CREATE TABLE document_locations (document_id DECIMAL, location_code TEXT, date_in_location_from TIME, date_in_locaton_to TIME)
CREATE TABLE documents_to_be_destroyed (document_id DECIMAL, destruction_authorised_by_employee_id DECIMAL, destroyed_by_employee_id DECIMAL, planned_destruction_date TIME, actual_destruction_date TIME, other_details TEXT)
CREATE TABLE ref_document_types (document_type_code TEXT, document_type_name TEXT, document_type_description TEXT)
CREATE TABLE ref_locations (location_code TEXT, location_name TEXT, location_description TEXT)
CREATE TABLE employees (employee_id DECIMAL, role_code TEXT, employee_name TEXT, gender_mfu TEXT, date_of_birth TIME, other_details TEXT)
CREATE TABLE ref_calendar (calendar_date TIME, day_number DECIMAL)
CREATE TABLE roles (role_code TEXT, role_name TEXT, role_description TEXT)
|
Show the role code with the least employees.
|
SELECT role_code FROM employees GROUP BY role_code ORDER BY COUNT(*) LIMIT 1
|
SELECT "role_code" FROM "employees" GROUP BY "role_code" ORDER BY COUNT(*) NULLS FIRST LIMIT 1
| 0.091797 |
CREATE TABLE table_name_40 (mascot VARCHAR, year_left VARCHAR, location VARCHAR)
|
What's the mascot in Huntington after the year 2000?
|
SELECT mascot FROM table_name_40 WHERE year_left > 2000 AND location = "huntington"
|
SELECT "mascot" FROM "table_name_40" WHERE "huntington" = "location" AND "year_left" > 2000
| 0.088867 |
CREATE TABLE field (fieldid INT)
CREATE TABLE author (authorid INT, authorname VARCHAR)
CREATE TABLE keyphrase (keyphraseid INT, keyphrasename VARCHAR)
CREATE TABLE journal (journalid INT, journalname VARCHAR)
CREATE TABLE dataset (datasetid INT, datasetname VARCHAR)
CREATE TABLE writes (paperid INT, authorid INT)
CREATE TABLE venue (venueid INT, venuename VARCHAR)
CREATE TABLE paper (paperid INT, title VARCHAR, venueid INT, year INT, numciting INT, numcitedby INT, journalid INT)
CREATE TABLE cite (citingpaperid INT, citedpaperid INT)
CREATE TABLE paperdataset (paperid INT, datasetid INT)
CREATE TABLE paperkeyphrase (paperid INT, keyphraseid INT)
CREATE TABLE paperfield (fieldid INT, paperid INT)
|
How many papers has jennifer widom published ?
|
SELECT DISTINCT COUNT(DISTINCT writes.paperid) FROM author, writes WHERE author.authorname = 'jennifer widom' AND writes.authorid = author.authorid
|
SELECT DISTINCT COUNT(DISTINCT "writes"."paperid") FROM "author" JOIN "writes" ON "author"."authorid" = "writes"."authorid" WHERE "author"."authorname" = 'jennifer widom'
| 0.166016 |
CREATE TABLE table_name_36 (date VARCHAR, margin_of_victory VARCHAR, tournament VARCHAR)
|
What date was there a playoff on the margin of victory during the Shirley Englehorn Invitational?
|
SELECT date FROM table_name_36 WHERE margin_of_victory = "playoff" AND tournament = "shirley englehorn invitational"
|
SELECT "date" FROM "table_name_36" WHERE "margin_of_victory" = "playoff" AND "shirley englehorn invitational" = "tournament"
| 0.121094 |
CREATE TABLE table_55248 ("Year" TEXT, "President" TEXT, "Vice President" TEXT, "Gen.-Secretary" TEXT, "Treasurer" TEXT)
|
Which treasurer has a Gen.-Secretary of jonneke de koning, and a Vice President of laura tolen?
|
SELECT "Treasurer" FROM table_55248 WHERE "Gen.-Secretary" = 'jonneke de koning' AND "Vice President" = 'laura tolen'
|
SELECT "Treasurer" FROM "table_55248" WHERE "Gen.-Secretary" = 'jonneke de koning' AND "Vice President" = 'laura tolen'
| 0.116211 |
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime 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)
|
what was the first coronary artery disease - significant risk factors diagnosis time of patient 005-18714 in 2104?
|
SELECT diagnosis.diagnosistime FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-18714')) AND diagnosis.diagnosisname = 'coronary artery disease - significant risk factors' AND STRFTIME('%y', diagnosis.diagnosistime) = '2104' ORDER BY diagnosis.diagnosistime LIMIT 1
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '005-18714' 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 "diagnosis"."diagnosistime" FROM "diagnosis" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "diagnosis"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'coronary artery disease - significant risk factors' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y', "diagnosis"."diagnosistime") = '2104' ORDER BY "diagnosis"."diagnosistime" NULLS FIRST LIMIT 1
| 0.695313 |
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)
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)
|
what is subject name and death status of subject id 2560?
|
SELECT demographic.name, demographic.expire_flag FROM demographic WHERE demographic.subject_id = "2560"
|
SELECT "demographic"."name", "demographic"."expire_flag" FROM "demographic" WHERE "2560" = "demographic"."subject_id"
| 0.114258 |
CREATE TABLE table_204_590 (id DECIMAL, "year" DECIMAL, "division" DECIMAL, "league" TEXT, "regular season" TEXT, "playoffs" TEXT, "open cup" TEXT, "avg. attendance" DECIMAL)
|
which year had the most attendance ?
|
SELECT "year" FROM table_204_590 ORDER BY "avg. attendance" DESC LIMIT 1
|
SELECT "year" FROM "table_204_590" ORDER BY "avg. attendance" DESC NULLS LAST LIMIT 1
| 0.083008 |
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 the sum of code , and group by attribute name in a bar chart, rank bar in asc order.
|
SELECT T1.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name ORDER BY T1.Name
|
SELECT "T1"."Name", "T1"."Code" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T1"."Name" ORDER BY "T1"."Name" NULLS FIRST
| 0.170898 |
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE 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 semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE gsi (course_offering_id INT, student_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 comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE 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 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 ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_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 requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
|
Who is AT 313 taught by ?
|
SELECT DISTINCT instructor.name FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND course.department = 'AT' AND course.number = 313 AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id
|
SELECT DISTINCT "instructor"."name" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" WHERE "course"."department" = 'AT' AND "course"."number" = 313
| 0.37207 |
CREATE TABLE table_203_37 (id DECIMAL, "#" DECIMAL, "title" TEXT, "producer ( s ) " TEXT, "performer ( s ) " TEXT, "length" TEXT)
|
what song on prophets vs. profits has no producer ?
|
SELECT "title" FROM table_203_37 WHERE "producer(s)" IS NULL
|
SELECT "title" FROM "table_203_37" WHERE "producer(s)" IS NULL
| 0.060547 |
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)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
what is the number of patients whose days of hospital stay is greater than 7 and diagnoses long title is unspecified erythematous condition?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "7" AND diagnoses.long_title = "Unspecified erythematous condition"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Unspecified erythematous condition" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "7" < "demographic"."days_stay"
| 0.236328 |
CREATE TABLE table_name_49 (year INT, chassis VARCHAR)
|
What is the average Year with Chassis equalling cooper t60?
|
SELECT AVG(year) FROM table_name_49 WHERE chassis = "cooper t60"
|
SELECT AVG("year") FROM "table_name_49" WHERE "chassis" = "cooper t60"
| 0.068359 |
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
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 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 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 ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount 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 VoteTypes (Id DECIMAL, Name 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 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 PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
|
Filter in Tag and Title and Body2.
|
SELECT * FROM Posts AS p WHERE p.Tags LIKE '%##key0##%' AND p.Title LIKE '%##key1##%' AND p.Body LIKE '%##key2##%'
|
SELECT * FROM "Posts" AS "p" WHERE "p"."Body" LIKE '%##key2##%' AND "p"."Tags" LIKE '%##key0##%' AND "p"."Title" LIKE '%##key1##%'
| 0.126953 |
CREATE TABLE table_57795 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
What was the average crowd attendance for the Junction Oval venue?
|
SELECT AVG("Crowd") FROM table_57795 WHERE "Venue" = 'junction oval'
|
SELECT AVG("Crowd") FROM "table_57795" WHERE "Venue" = 'junction oval'
| 0.068359 |
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