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CREATE TABLE table_1140116_6 (date VARCHAR, circuit VARCHAR)
|
What is the date on which a race was run at Halle-Saale-Schleife circuit?
|
SELECT date FROM table_1140116_6 WHERE circuit = "Halle-Saale-Schleife"
|
SELECT "date" FROM "table_1140116_6" WHERE "Halle-Saale-Schleife" = "circuit"
| 0.075195 |
CREATE TABLE table_18847 ("Result" TEXT, "Date" TEXT, "Race" TEXT, "Venue" TEXT, "Group" TEXT, "Distance" TEXT, "Weight ( kg ) " FLOAT, "Jockey" TEXT, "Winner/2nd" TEXT)
|
On what date did Northerly place 6th?
|
SELECT "Date" FROM table_18847 WHERE "Result" = '6th'
|
SELECT "Date" FROM "table_18847" WHERE "Result" = '6th'
| 0.053711 |
CREATE TABLE table_15872814_5 (location_attendance VARCHAR, team VARCHAR)
|
What is the location and total attendance for games played against New Orleans?
|
SELECT location_attendance FROM table_15872814_5 WHERE team = "New Orleans"
|
SELECT "location_attendance" FROM "table_15872814_5" WHERE "New Orleans" = "team"
| 0.079102 |
CREATE TABLE table_62445 ("Elected" TEXT, "Assembled" TEXT, "Dissolved" TEXT, "1st member" TEXT, "2nd member" TEXT)
|
Who was the 1st member of the parliament that was dissolved 23 february 1510?
|
SELECT "1st member" FROM table_62445 WHERE "Dissolved" = '23 february 1510'
|
SELECT "1st member" FROM "table_62445" WHERE "Dissolved" = '23 february 1510'
| 0.075195 |
CREATE TABLE table_name_91 (finalist VARCHAR, tournament VARCHAR)
|
Who was the finalist in the Monte Carlo Tournament?
|
SELECT finalist FROM table_name_91 WHERE tournament = "monte carlo"
|
SELECT "finalist" FROM "table_name_91" WHERE "monte carlo" = "tournament"
| 0.071289 |
CREATE TABLE table_200_12 (id DECIMAL, "year" TEXT, "award" TEXT, "category" TEXT, "nominated work" TEXT, "result" TEXT)
|
what year was prime suspects nominated for the bafta tv award ?
|
SELECT "year" FROM table_200_12 WHERE "nominated work" = 'prime suspect' AND "award" = 'bafta tv award'
|
SELECT "year" FROM "table_200_12" WHERE "award" = 'bafta tv award' AND "nominated work" = 'prime suspect'
| 0.102539 |
CREATE TABLE loan (amount INT, branch_id VARCHAR)
CREATE TABLE bank (branch_id VARCHAR, state VARCHAR)
|
Find the total amount of loans provided by bank branches in the state of New York.
|
SELECT SUM(T2.amount) FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id WHERE T1.state = 'New York'
|
SELECT SUM("T2"."amount") FROM "bank" AS "T1" JOIN "loan" AS "T2" ON "T1"."branch_id" = "T2"."branch_id" WHERE "T1"."state" = 'New York'
| 0.132813 |
CREATE TABLE table_5214 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Record" TEXT, "Venue" TEXT, "Attendance" TEXT)
|
Result of w 16-10* o.t. had what attendance?
|
SELECT "Attendance" FROM table_5214 WHERE "Result" = 'w 16-10* o.t.'
|
SELECT "Attendance" FROM "table_5214" WHERE "Result" = 'w 16-10* o.t.'
| 0.068359 |
CREATE TABLE table_13337302_16 (dismissals VARCHAR, player VARCHAR)
|
How many dismissals did the player Peter McGlashan have?
|
SELECT dismissals FROM table_13337302_16 WHERE player = "Peter McGlashan"
|
SELECT "dismissals" FROM "table_13337302_16" WHERE "Peter McGlashan" = "player"
| 0.077148 |
CREATE TABLE table_name_49 (score_ VARCHAR, a_ VARCHAR, date VARCHAR)
|
What is the score [A] of the match on 19 September 1998?
|
SELECT score_ AS "a_" FROM table_name_49 WHERE date = "19 september 1998"
|
SELECT "score_" AS "a_" FROM "table_name_49" WHERE "19 september 1998" = "date"
| 0.077148 |
CREATE TABLE table_23100 ("Year" TEXT, "Marriages between men" FLOAT, "Marriages between women" FLOAT, "Same-sex marriages" FLOAT, "Total marriages" FLOAT, "% same-sex marriages" TEXT)
|
How many % same-sex marriages are there for the year 2008?
|
SELECT COUNT("% same-sex marriages") FROM table_23100 WHERE "Year" = '2008'
|
SELECT COUNT("% same-sex marriages") FROM "table_23100" WHERE "Year" = '2008'
| 0.075195 |
CREATE TABLE table_24122 ("Episode" TEXT, "Broadcast date" TEXT, "Run time" TEXT, "Viewers ( in millions ) " TEXT, "Archive" TEXT)
|
How many million viewers watched the episode with a run time of 25:22?
|
SELECT "Viewers (in millions)" FROM table_24122 WHERE "Run time" = '25:22'
|
SELECT "Viewers (in millions)" FROM "table_24122" WHERE "Run time" = '25:22'
| 0.074219 |
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
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)
|
Return a scatter chart about the correlation between School_ID and ACC_Percent , and group by attribute All_Road.
|
SELECT School_ID, ACC_Percent FROM basketball_match GROUP BY All_Road
|
SELECT "School_ID", "ACC_Percent" FROM "basketball_match" GROUP BY "All_Road"
| 0.075195 |
CREATE TABLE employee (emp_lname VARCHAR, emp_hiredate VARCHAR, emp_num VARCHAR)
CREATE TABLE professor (emp_num VARCHAR, prof_office VARCHAR)
|
Find the last name and hire date of the professor who is in office DRE 102.
|
SELECT T1.emp_lname, T1.emp_hiredate FROM employee AS T1 JOIN professor AS T2 ON T1.emp_num = T2.emp_num WHERE T2.prof_office = 'DRE 102'
|
SELECT "T1"."emp_lname", "T1"."emp_hiredate" FROM "employee" AS "T1" JOIN "professor" AS "T2" ON "T1"."emp_num" = "T2"."emp_num" AND "T2"."prof_office" = 'DRE 102'
| 0.15918 |
CREATE TABLE table_204_864 (id DECIMAL, "pos" DECIMAL, "class" TEXT, "no" DECIMAL, "team" TEXT, "drivers" TEXT, "chassis" TEXT, "engine" TEXT)
|
what was the number of drivers on the societe roc team in this race ?
|
SELECT SUM("drivers") FROM table_204_864 WHERE "team" = 'societe roc'
|
SELECT SUM("drivers") FROM "table_204_864" WHERE "team" = 'societe roc'
| 0.069336 |
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress 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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId 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 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 ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment 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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE 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 PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResultTypes (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 VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
|
List of Most reputed users in a given location - Case Sensitive. Gets a list of most reputed users from a given location.
|
SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation, Location, CreationDate, LastAccessDate, UpVotes, DownVotes FROM Users WHERE Location LIKE '%##Location##%' ORDER BY Reputation DESC LIMIT 100
|
SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC NULLS LAST) AS "#", "Id" AS "user_link", "Reputation", "Location", "CreationDate", "LastAccessDate", "UpVotes", "DownVotes" FROM "Users" WHERE "Location" LIKE '%##Location##%' ORDER BY "Reputation" DESC NULLS LAST LIMIT 100
| 0.269531 |
CREATE TABLE table_9747 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Attendance" TEXT)
|
what was the result in week 10?
|
SELECT "Result" FROM table_9747 WHERE "Week" = '10'
|
SELECT "Result" FROM "table_9747" WHERE "Week" = '10'
| 0.051758 |
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE 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 time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE airport (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 month (month_number INT, month_name TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE 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 days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
|
flights from BALTIMORE to DALLAS
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BALTIMORE' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
|
SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BALTIMORE' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DALLAS'
| 0.495117 |
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name 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 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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE 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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value 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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
did patient 14467 have a albumin laboratory test in 08/this year?
|
SELECT COUNT(*) > 0 FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'albumin') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 14467) AND DATETIME(labevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m', labevents.charttime) = '08'
|
WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'albumin' GROUP BY "itemid"), "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 14467 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."itemid" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "labevents"."hadm_id" WHERE DATETIME("labevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL AND STRFTIME('%m', "labevents"."charttime") = '08'
| 0.604492 |
CREATE TABLE table_27539272_7 (points INT, score VARCHAR)
|
What are the most points scored in a game where the score was 1-2?
|
SELECT MAX(points) FROM table_27539272_7 WHERE score = "1-2"
|
SELECT MAX("points") FROM "table_27539272_7" WHERE "1-2" = "score"
| 0.064453 |
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)
|
Draw a bar chart about the distribution of ACC_Road and the amount of ACC_Road , and group by attribute ACC_Road, and order by the ACC_Road in desc.
|
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_65462 ("Pick" FLOAT, "Team" TEXT, "Player" TEXT, "Position" TEXT, "College" TEXT)
|
What college was the quarterback from?
|
SELECT "College" FROM table_65462 WHERE "Position" = 'quarterback'
|
SELECT "College" FROM "table_65462" WHERE "Position" = 'quarterback'
| 0.066406 |
CREATE TABLE table_74672 ("Institution" TEXT, "Nickname" TEXT, "Location" TEXT, "Founded" FLOAT, "Type" TEXT, "Enrollment" FLOAT)
|
Which public college has a nickname of The Grenadiers?
|
SELECT "Institution" FROM table_74672 WHERE "Type" = 'public' AND "Nickname" = 'grenadiers'
|
SELECT "Institution" FROM "table_74672" WHERE "Nickname" = 'grenadiers' AND "Type" = 'public'
| 0.09082 |
CREATE TABLE table (r INT, player VARCHAR, Marcelo VARCHAR)
|
If the player is Marcelo, what is the minimum R?
|
SELECT MIN(r) FROM table WHERE player = Marcelo
|
SELECT MIN("r") FROM "table" WHERE "Marcelo" = "player"
| 0.053711 |
CREATE TABLE race (Race_ID INT, Name TEXT, Class TEXT, Date TEXT, Track_ID TEXT)
CREATE TABLE track (Track_ID INT, Name TEXT, Location TEXT, Seating FLOAT, Year_Opened FLOAT)
|
Show names and seatings for all tracks opened after 2000 by a pie chart.
|
SELECT Name, Seating FROM track WHERE Year_Opened > 2000
|
SELECT "Name", "Seating" FROM "track" WHERE "Year_Opened" > 2000
| 0.0625 |
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
|
Compare the average salary by each hire date (bin it into the day of week interval) of employees using a bar chart.
|
SELECT HIRE_DATE, AVG(SALARY) FROM employees
|
SELECT "HIRE_DATE", AVG("SALARY") FROM "employees"
| 0.048828 |
CREATE TABLE table_27487 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "U.S. viewers ( millions ) " TEXT, "Original U.S. air date" TEXT, "Prod. code" FLOAT)
|
How many U.S. viewers were there for the episode written by Lazar Saric & Jed Spingarn?
|
SELECT "U.S. viewers (millions)" FROM table_27487 WHERE "Written by" = 'Lazar Saric & Jed Spingarn'
|
SELECT "U.S. viewers (millions)" FROM "table_27487" WHERE "Written by" = 'Lazar Saric & Jed Spingarn'
| 0.098633 |
CREATE TABLE table_27301 ("Company" TEXT, "Parent company" TEXT, "Parent headquarters" TEXT, "Plant" TEXT, "Models produced" TEXT, "Production ( latest figures ) " TEXT)
|
what is the production where the parent company is ariel?
|
SELECT "Production (latest figures)" FROM table_27301 WHERE "Parent company" = 'Ariel'
|
SELECT "Production (latest figures)" FROM "table_27301" WHERE "Parent company" = 'Ariel'
| 0.085938 |
CREATE TABLE table_204_164 (id DECIMAL, "branding" TEXT, "callsign" TEXT, "frequency" TEXT, "power ( kw ) " TEXT, "location" TEXT)
|
how many kw was the radio in davao ?
|
SELECT "power (kw)" FROM table_204_164 WHERE "location" = 'davao'
|
SELECT "power (kw)" FROM "table_204_164" WHERE "location" = 'davao'
| 0.06543 |
CREATE TABLE region (Region_id INT, Region_code TEXT, Region_name TEXT)
CREATE TABLE storm (Storm_ID INT, Name TEXT, Dates_active TEXT, Max_speed INT, Damage_millions_USD FLOAT, Number_Deaths INT)
CREATE TABLE affected_region (Region_id INT, Storm_ID INT, Number_city_affected FLOAT)
|
Return a bar chart on how many regions were affected by each storm?
|
SELECT Name, COUNT(*) FROM storm AS T1 JOIN affected_region AS T2 ON T1.Storm_ID = T2.Storm_ID GROUP BY T1.Storm_ID
|
SELECT "Name", COUNT(*) FROM "storm" AS "T1" JOIN "affected_region" AS "T2" ON "T1"."Storm_ID" = "T2"."Storm_ID" GROUP BY "T1"."Storm_ID"
| 0.133789 |
CREATE TABLE table_name_54 (year VARCHAR, binibining_pilipinas_international VARCHAR)
|
Which Year has a Binibining Pilipinas International of alma concepcion?
|
SELECT year FROM table_name_54 WHERE binibining_pilipinas_international = "alma concepcion"
|
SELECT "year" FROM "table_name_54" WHERE "alma concepcion" = "binibining_pilipinas_international"
| 0.094727 |
CREATE TABLE table_203_665 (id DECIMAL, "name" TEXT, "municipality" TEXT, "established" DECIMAL, "tower height\ in meters ( ft ) " TEXT, "focal plane\ in meters ( ft ) " TEXT, "current status" TEXT, "current condition" TEXT)
|
cardona island light and caja de muertos light are both located in what municipality ?
|
SELECT "municipality" FROM table_203_665 WHERE "name" IN ('cardona island light', 'caja de muertos light')
|
SELECT "municipality" FROM "table_203_665" WHERE "name" IN ('cardona island light', 'caja de muertos light')
| 0.105469 |
CREATE TABLE table_56270 ("Driver" TEXT, "Entrant" TEXT, "Constructor" TEXT, "Chassis" TEXT, "Engine" TEXT, "Tyre" TEXT)
|
Who is the entrant when the engine is talbot l6 and the driver is pierre levegh?
|
SELECT "Entrant" FROM table_56270 WHERE "Engine" = 'talbot l6' AND "Driver" = 'pierre levegh'
|
SELECT "Entrant" FROM "table_56270" WHERE "Driver" = 'pierre levegh' AND "Engine" = 'talbot l6'
| 0.092773 |
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE diagnoses_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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom 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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
|
how many patients in this year had a bone marrow microbiology test taken?
|
SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT microbiologyevents.hadm_id FROM microbiologyevents WHERE microbiologyevents.spec_type_desc = 'bone marrow' AND DATETIME(microbiologyevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year'))
|
WITH "_u_0" AS (SELECT "microbiologyevents"."hadm_id" FROM "microbiologyevents" WHERE "microbiologyevents"."spec_type_desc" = 'bone marrow' AND DATETIME("microbiologyevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "admissions"."hadm_id" WHERE NOT "_u_0"."" IS NULL
| 0.427734 |
CREATE TABLE table_204_307 (id DECIMAL, "year" DECIMAL, "english title" TEXT, "chinese title" TEXT, "role" TEXT, "notes" TEXT)
|
in the 2009 movie the message he is also known as what ?
|
SELECT "notes" FROM table_204_307 WHERE "english title" = 'the message'
|
SELECT "notes" FROM "table_204_307" WHERE "english title" = 'the message'
| 0.071289 |
CREATE TABLE table_52172 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Date" TEXT)
|
Who was the home team for the game played at Junction Oval?
|
SELECT "Home team" FROM table_52172 WHERE "Venue" = 'junction oval'
|
SELECT "Home team" FROM "table_52172" WHERE "Venue" = 'junction oval'
| 0.067383 |
CREATE TABLE course (crs_code TEXT, dept_code TEXT, crs_description TEXT, crs_credit DECIMAL)
CREATE TABLE class (class_code TEXT, crs_code TEXT, class_section TEXT, class_time TEXT, class_room TEXT, prof_num DECIMAL)
CREATE TABLE enroll (class_code TEXT, stu_num DECIMAL, enroll_grade TEXT)
CREATE TABLE department (dept_code TEXT, dept_name TEXT, school_code TEXT, emp_num DECIMAL, dept_address TEXT, dept_extension TEXT)
CREATE TABLE employee (emp_num DECIMAL, emp_lname TEXT, emp_fname TEXT, emp_initial TEXT, emp_jobcode TEXT, emp_hiredate TIME, emp_dob TIME)
CREATE TABLE student (stu_num DECIMAL, stu_lname TEXT, stu_fname TEXT, stu_init TEXT, stu_dob TIME, stu_hrs DECIMAL, stu_class TEXT, stu_gpa DECIMAL, stu_transfer DECIMAL, dept_code TEXT, stu_phone TEXT, prof_num DECIMAL)
CREATE TABLE professor (emp_num DECIMAL, dept_code TEXT, prof_office TEXT, prof_extension TEXT, prof_high_degree TEXT)
|
What are the course codes for every class that the student with the last name Smithson took?
|
SELECT T1.crs_code FROM class AS T1 JOIN enroll AS T2 ON T1.class_code = T2.class_code JOIN student AS T3 ON T3.stu_num = T2.stu_num WHERE T3.stu_lname = 'Smithson'
|
SELECT "T1"."crs_code" FROM "class" AS "T1" JOIN "enroll" AS "T2" ON "T1"."class_code" = "T2"."class_code" JOIN "student" AS "T3" ON "T2"."stu_num" = "T3"."stu_num" AND "T3"."stu_lname" = 'Smithson'
| 0.193359 |
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime 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 allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE 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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
|
how many patients were prescribed furosemide 20 mg po tabs within the same month since 5 years ago following the procedure of oxygen therapy (40% to 60%)?
|
SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, treatment.treatmenttime FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'oxygen therapy (40% to 60%)' AND DATETIME(treatment.treatmenttime) >= DATETIME(CURRENT_TIME(), '-5 year')) AS t1 JOIN (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'furosemide 20 mg po tabs' AND DATETIME(medication.drugstarttime) >= DATETIME(CURRENT_TIME(), '-5 year')) AS t2 WHERE t1.treatmenttime < t2.drugstarttime AND DATETIME(t1.treatmenttime, 'start of month') = DATETIME(t2.drugstarttime, 'start of month')
|
SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" JOIN "medication" ON "medication"."drugname" = 'furosemide 20 mg po tabs' AND "medication"."drugstarttime" > "treatment"."treatmenttime" AND DATETIME("medication"."drugstarttime") >= DATETIME(CURRENT_TIME(), '-5 year') AND DATETIME("medication"."drugstarttime", 'start of month') = DATETIME("treatment"."treatmenttime", 'start of month') JOIN "patient" AS "patient_2" ON "medication"."patientunitstayid" = "patient_2"."patientunitstayid" WHERE "treatment"."treatmentname" = 'oxygen therapy (40% to 60%)' AND DATETIME("treatment"."treatmenttime") >= DATETIME(CURRENT_TIME(), '-5 year')
| 0.710938 |
CREATE TABLE table_name_4 (high_rebounds VARCHAR, date VARCHAR)
|
Who had the highest rebounds on December 30?
|
SELECT high_rebounds FROM table_name_4 WHERE date = "december 30"
|
SELECT "high_rebounds" FROM "table_name_4" WHERE "date" = "december 30"
| 0.069336 |
CREATE TABLE table_70419 ("Name" TEXT, "Born" TEXT, "Age at first step" TEXT, "Mission" TEXT, "Lunar EVA dates" TEXT, "Service" TEXT)
|
Pete Conrad was on the Apollo 12 mission but also had what Lunar EVA dates?
|
SELECT "Lunar EVA dates" FROM table_70419 WHERE "Mission" = 'apollo 12' AND "Name" = 'pete conrad'
|
SELECT "Lunar EVA dates" FROM "table_70419" WHERE "Mission" = 'apollo 12' AND "Name" = 'pete conrad'
| 0.097656 |
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 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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label 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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
|
was the entacapone prescribed to patient 7241 until 95 months ago?
|
SELECT COUNT(*) > 0 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 7241) AND prescriptions.drug = 'entacapone' AND DATETIME(prescriptions.startdate) <= DATETIME(CURRENT_TIME(), '-95 month')
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 7241 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "prescriptions" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'entacapone' AND DATETIME("prescriptions"."startdate") <= DATETIME(CURRENT_TIME(), '-95 month') AND NOT "_u_0"."" IS NULL
| 0.375 |
CREATE TABLE paper (paperid INT, title VARCHAR, venueid INT, year INT, numciting INT, numcitedby INT, journalid INT)
CREATE TABLE field (fieldid INT)
CREATE TABLE keyphrase (keyphraseid INT, keyphrasename VARCHAR)
CREATE TABLE journal (journalid INT, journalname VARCHAR)
CREATE TABLE dataset (datasetid INT, datasetname VARCHAR)
CREATE TABLE paperdataset (paperid INT, datasetid INT)
CREATE TABLE paperfield (fieldid INT, paperid INT)
CREATE TABLE paperkeyphrase (paperid INT, keyphraseid INT)
CREATE TABLE cite (citingpaperid INT, citedpaperid INT)
CREATE TABLE author (authorid INT, authorname VARCHAR)
CREATE TABLE venue (venueid INT, venuename VARCHAR)
CREATE TABLE writes (paperid INT, authorid INT)
|
How many papers did Noah Smith publish in 2010 ?
|
SELECT DISTINCT COUNT(writes.paperid) FROM author, paper, writes WHERE author.authorname = 'Noah Smith' AND paper.year = 2010 AND writes.authorid = author.authorid AND writes.paperid = paper.paperid
|
SELECT DISTINCT COUNT("writes"."paperid") FROM "author" JOIN "writes" ON "author"."authorid" = "writes"."authorid" JOIN "paper" ON "paper"."paperid" = "writes"."paperid" AND "paper"."year" = 2010 WHERE "author"."authorname" = 'Noah Smith'
| 0.232422 |
CREATE TABLE allergy_type (allergy TEXT, allergytype TEXT)
CREATE TABLE has_allergy (stuid DECIMAL, allergy TEXT)
CREATE TABLE student (stuid DECIMAL, lname TEXT, fname TEXT, age DECIMAL, sex TEXT, major DECIMAL, advisor DECIMAL, city_code TEXT)
|
Show the minimum, average, and maximum age of all students.
|
SELECT MIN(age), AVG(age), MAX(age) FROM student
|
SELECT MIN("age"), AVG("age"), MAX("age") FROM "student"
| 0.054688 |
CREATE TABLE table_name_17 (week VARCHAR, date VARCHAR)
|
What is the Week number on October 10, 1976?
|
SELECT COUNT(week) FROM table_name_17 WHERE date = "october 10, 1976"
|
SELECT COUNT("week") FROM "table_name_17" WHERE "date" = "october 10, 1976"
| 0.073242 |
CREATE TABLE table_1916 ("Township" TEXT, "County" TEXT, "Pop. ( 2010 ) " FLOAT, "Land ( sqmi ) " TEXT, "Water ( sqmi ) " TEXT, "Latitude" TEXT, "Longitude" TEXT, "GEO ID" FLOAT, "ANSI code" FLOAT)
|
how is called the township where the latitude is 47.377790
|
SELECT "Township" FROM table_1916 WHERE "Latitude" = '47.377790'
|
SELECT "Township" FROM "table_1916" WHERE "Latitude" = '47.377790'
| 0.064453 |
CREATE TABLE table_80450 ("Year" TEXT, "Start" TEXT, "Qual" TEXT, "Rank" TEXT, "Finish" TEXT, "Laps" FLOAT)
|
What is the year with 116 laps?
|
SELECT "Year" FROM table_80450 WHERE "Laps" = '116'
|
SELECT "Year" FROM "table_80450" WHERE "Laps" = '116'
| 0.051758 |
CREATE TABLE table_24463470_1 (difficulty VARCHAR, circuit VARCHAR)
|
What is the difficulty of the athens circuit?
|
SELECT difficulty FROM table_24463470_1 WHERE circuit = "Athens"
|
SELECT "difficulty" FROM "table_24463470_1" WHERE "Athens" = "circuit"
| 0.068359 |
CREATE TABLE table_name_44 (year INT, name VARCHAR)
|
What was the average year when shri. shambu nath khajuria won the padma shri awards?
|
SELECT AVG(year) FROM table_name_44 WHERE name = "shri. shambu nath khajuria"
|
SELECT AVG("year") FROM "table_name_44" WHERE "name" = "shri. shambu nath khajuria"
| 0.081055 |
CREATE TABLE AssignedTo (Scientist INT, Project CHAR)
CREATE TABLE Scientists (SSN INT, Name CHAR)
CREATE TABLE Projects (Code CHAR, Name CHAR, Hours INT)
|
Find the number of scientists involved for each project name, and sort by the X-axis in desc.
|
SELECT Name, COUNT(*) FROM Projects AS T1 JOIN AssignedTo AS T2 ON T1.Code = T2.Project GROUP BY T1.Name ORDER BY Name DESC
|
SELECT "Name", COUNT(*) FROM "Projects" AS "T1" JOIN "AssignedTo" AS "T2" ON "T1"."Code" = "T2"."Project" GROUP BY "T1"."Name" ORDER BY "Name" DESC NULLS LAST
| 0.154297 |
CREATE TABLE table_10707 ("Player" TEXT, "Date of Birth" TEXT, "Batting Style" TEXT, "Bowling Style" TEXT, "First Class Team" TEXT)
|
What batting style does player Shahid Afridi have?
|
SELECT "Batting Style" FROM table_10707 WHERE "Player" = 'shahid afridi'
|
SELECT "Batting Style" FROM "table_10707" WHERE "Player" = 'shahid afridi'
| 0.072266 |
CREATE TABLE table_204_115 (id DECIMAL, "year" DECIMAL, "track" TEXT, "number" DECIMAL, "team" TEXT, "car" TEXT, "round result" TEXT)
|
what was the round result of the year after the k mart racing team got 3rd ?
|
SELECT "round result" FROM table_204_115 WHERE "year" > (SELECT "year" FROM table_204_115 WHERE "team" = 'k-mart racing team' AND "round result" = 3) ORDER BY "year" LIMIT 1
|
SELECT "round result" FROM "table_204_115" WHERE "year" > (SELECT "year" FROM "table_204_115" WHERE "round result" = 3 AND "team" = 'k-mart racing team') ORDER BY "year" NULLS FIRST LIMIT 1
| 0.18457 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE 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)
|
give me the number of patients whose diagnoses short title is subtrochanteric fx-close and lab test fluid is pleural?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Subtrochanteric fx-close" AND lab.fluid = "Pleural"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Subtrochanteric fx-close" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Pleural" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id"
| 0.274414 |
CREATE TABLE table_name_53 (position VARCHAR, player VARCHAR)
|
What is the Position, when Player is 'Magnus Nygren'?
|
SELECT position FROM table_name_53 WHERE player = "magnus nygren"
|
SELECT "position" FROM "table_name_53" WHERE "magnus nygren" = "player"
| 0.069336 |
CREATE TABLE table_43959 ("Tie no" TEXT, "Home team" TEXT, "Score" TEXT, "Away team" TEXT, "Attendance" TEXT)
|
Who was the home team against the Bolton Wanderers?
|
SELECT "Home team" FROM table_43959 WHERE "Away team" = 'bolton wanderers'
|
SELECT "Home team" FROM "table_43959" WHERE "Away team" = 'bolton wanderers'
| 0.074219 |
CREATE TABLE assignedto (scientist DECIMAL, project TEXT)
CREATE TABLE scientists (ssn DECIMAL, name TEXT)
CREATE TABLE projects (code TEXT, name TEXT, hours DECIMAL)
|
How many different projects are there?
|
SELECT COUNT(DISTINCT name) FROM projects
|
SELECT COUNT(DISTINCT "name") FROM "projects"
| 0.043945 |
CREATE TABLE table_921 ("Num" FLOAT, "Team" TEXT, "W" FLOAT, "L" FLOAT, "PCT" TEXT, "PF" FLOAT, "PA" FLOAT, "Last appearance" FLOAT, "Last championship" TEXT, "HOME games" FLOAT, "Home wins" FLOAT, "Home losses" FLOAT, "Home Win Pct." TEXT, "ROAD games" FLOAT, "Road wins" FLOAT, "Road losses" FLOAT, "Road Win Pct." TEXT)
|
How many numbers were recorded when the home win percentage .667?
|
SELECT COUNT("PA") FROM table_921 WHERE "Home Win Pct." = '.667'
|
SELECT COUNT("PA") FROM "table_921" WHERE "Home Win Pct." = '.667'
| 0.064453 |
CREATE TABLE table_name_99 (music VARCHAR, score VARCHAR)
|
What was the music for the team who earned a score of 13 (5, 4, 4)?
|
SELECT music FROM table_name_99 WHERE score = "13 (5, 4, 4)"
|
SELECT "music" FROM "table_name_99" WHERE "13 (5, 4, 4)" = "score"
| 0.064453 |
CREATE TABLE table_16028499_2 (result VARCHAR, week VARCHAR)
|
What was the result of week 2?
|
SELECT result FROM table_16028499_2 WHERE week = 2
|
SELECT "result" FROM "table_16028499_2" WHERE "week" = 2
| 0.054688 |
CREATE TABLE volume (Volume_ID INT, Volume_Issue TEXT, Issue_Date TEXT, Weeks_on_Top FLOAT, Song TEXT, Artist_ID INT)
CREATE TABLE artist (Artist_ID INT, Artist TEXT, Age INT, Famous_Title TEXT, Famous_Release_date TEXT)
CREATE TABLE music_festival (ID INT, Music_Festival TEXT, Date_of_ceremony TEXT, Category TEXT, Volume INT, Result TEXT)
|
Return the number of music festivals of each category.
|
SELECT Category, COUNT(*) FROM music_festival GROUP BY Category
|
SELECT "Category", COUNT(*) FROM "music_festival" GROUP BY "Category"
| 0.067383 |
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE 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 lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
|
how much does it cost for intracranial venous thrombosis - lateral sinus to be diagnosed?
|
SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'diagnosis' AND cost.eventid IN (SELECT diagnosis.diagnosisid FROM diagnosis WHERE diagnosis.diagnosisname = 'intracranial venous thrombosis - lateral sinus')
|
WITH "_u_0" AS (SELECT "diagnosis"."diagnosisid" FROM "diagnosis" WHERE "diagnosis"."diagnosisname" = 'intracranial venous thrombosis - lateral sinus' GROUP BY "diagnosisid") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "cost"."eventid" WHERE "cost"."eventtype" = 'diagnosis' AND NOT "_u_0"."" IS NULL
| 0.332031 |
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 lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
count the number of patients whose language is cape and admission location is phys referral/normal deli?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "CAPE" AND demographic.admission_location = "PHYS REFERRAL/NORMAL DELI"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "CAPE" = "demographic"."language" AND "PHYS REFERRAL/NORMAL DELI" = "demographic"."admission_location"
| 0.172852 |
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
|
For those employees who do not work in departments with managers that have ids between 100 and 200, return a bar chart about the distribution of job_id and department_id .
|
SELECT JOB_ID, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200)
|
SELECT "JOB_ID", "DEPARTMENT_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100)
| 0.167969 |
CREATE TABLE table_78216 ("State" TEXT, "Interview" FLOAT, "Swimsuit" FLOAT, "Evening Gown" FLOAT, "Average" FLOAT)
|
Tell me the sum of interview for evening gown more than 8.37 and average of 8.363
|
SELECT SUM("Interview") FROM table_78216 WHERE "Average" = '8.363' AND "Evening Gown" > '8.37'
|
SELECT SUM("Interview") FROM "table_78216" WHERE "Average" = '8.363' AND "Evening Gown" > '8.37'
| 0.09375 |
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
|
For those employees who was hired before 2002-06-21, give me the comparison about the sum of salary over the hire_date bin hire_date by time by a bar chart, and show by the Y in ascending.
|
SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY SUM(SALARY)
|
SELECT "HIRE_DATE", SUM("SALARY") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' ORDER BY SUM("SALARY") NULLS FIRST
| 0.115234 |
CREATE TABLE table_name_25 (tournament VARCHAR)
|
Which tournament's 2001 and 2006s were a?
|
SELECT tournament FROM table_name_25 WHERE 2001 = "a" AND 2006 = "a"
|
SELECT "tournament" FROM "table_name_25" WHERE "a" = 2001 AND "a" = 2006
| 0.070313 |
CREATE TABLE table_69378 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Attendance" TEXT)
|
Which team had the attendance of 16,468 and lost?
|
SELECT "Loss" FROM table_69378 WHERE "Attendance" = '16,468'
|
SELECT "Loss" FROM "table_69378" WHERE "Attendance" = '16,468'
| 0.060547 |
CREATE TABLE table_58472 ("Region" TEXT, "Date" TEXT, "Label" TEXT, "Format" TEXT, "Catalog" TEXT)
|
What is the date for a CD format with a Region of Europe?
|
SELECT "Date" FROM table_58472 WHERE "Region" = 'europe' AND "Format" = 'cd'
|
SELECT "Date" FROM "table_58472" WHERE "Format" = 'cd' AND "Region" = 'europe'
| 0.076172 |
CREATE TABLE table_204_229 (id DECIMAL, "property" TEXT, "test method" TEXT, "units" TEXT, "4275" TEXT, "4301" TEXT, "4435" TEXT, "4630" TEXT, "4645" TEXT)
|
which test method is used the most ?
|
SELECT "test method" FROM table_204_229 GROUP BY "test method" ORDER BY COUNT(*) DESC LIMIT 1
|
SELECT "test method" FROM "table_204_229" GROUP BY "test method" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1
| 0.103516 |
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR, DEPT_NAME VARCHAR, SCHOOL_CODE VARCHAR, EMP_NUM INT, DEPT_ADDRESS VARCHAR, DEPT_EXTENSION VARCHAR)
CREATE TABLE PROFESSOR (EMP_NUM INT, DEPT_CODE VARCHAR, PROF_OFFICE VARCHAR, PROF_EXTENSION VARCHAR, PROF_HIGH_DEGREE VARCHAR)
CREATE TABLE CLASS (CLASS_CODE VARCHAR, CRS_CODE VARCHAR, CLASS_SECTION VARCHAR, CLASS_TIME VARCHAR, CLASS_ROOM VARCHAR, PROF_NUM INT)
CREATE TABLE EMPLOYEE (EMP_NUM INT, EMP_LNAME VARCHAR, EMP_FNAME VARCHAR, EMP_INITIAL VARCHAR, EMP_JOBCODE VARCHAR, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR, STU_NUM INT, ENROLL_GRADE VARCHAR)
CREATE TABLE COURSE (CRS_CODE VARCHAR, DEPT_CODE VARCHAR, CRS_DESCRIPTION VARCHAR, CRS_CREDIT FLOAT)
CREATE TABLE STUDENT (STU_NUM INT, STU_LNAME VARCHAR, STU_FNAME VARCHAR, STU_INIT VARCHAR, STU_DOB DATETIME, STU_HRS INT, STU_CLASS VARCHAR, STU_GPA FLOAT, STU_TRANSFER DECIMAL, DEPT_CODE VARCHAR, STU_PHONE VARCHAR, PROF_NUM INT)
|
Return a histogram on how many professors have a Ph.D. in each department?
|
SELECT DEPT_CODE, COUNT(*) FROM PROFESSOR WHERE PROF_HIGH_DEGREE = 'Ph.D.' GROUP BY DEPT_CODE
|
SELECT "DEPT_CODE", COUNT(*) FROM "PROFESSOR" WHERE "PROF_HIGH_DEGREE" = 'Ph.D.' GROUP BY "DEPT_CODE"
| 0.098633 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
|
Find the number of ethnically white russian patients born before the year 1846.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "WHITE - RUSSIAN" AND demographic.dob_year < "1846"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "1846" > "demographic"."dob_year" AND "WHITE - RUSSIAN" = "demographic"."ethnicity"
| 0.154297 |
CREATE TABLE table_15927 ("County" TEXT, "English name" TEXT, "Irish name" TEXT, "Population" FLOAT, "Irish speakers" TEXT)
|
What is the population for County Mayo with the English Name Carrowteige?
|
SELECT "Population" FROM table_15927 WHERE "County" = 'County Mayo' AND "English name" = 'Carrowteige'
|
SELECT "Population" FROM "table_15927" WHERE "County" = 'County Mayo' AND "English name" = 'Carrowteige'
| 0.101563 |
CREATE TABLE Rating (rID VARCHAR, stars VARCHAR)
|
find the ids of reviewers who did not give 4 star.
|
SELECT rID FROM Rating EXCEPT SELECT rID FROM Rating WHERE stars = 4
|
SELECT "rID" FROM "Rating" EXCEPT SELECT "rID" FROM "Rating" WHERE "stars" = 4
| 0.076172 |
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE airport (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 time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE 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 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 equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
|
list all flights please from WASHINGTON to SAN FRANCISCO
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'WASHINGTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
|
SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'WASHINGTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO'
| 0.50293 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE 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)
|
count the number of patients whose year of death is less than or equal to 2112 and procedure short title is coronar arteriogr-2 cath?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dod_year <= "2112.0" AND procedures.short_title = "Coronar arteriogr-2 cath"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Coronar arteriogr-2 cath" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2112.0" >= "demographic"."dod_year"
| 0.235352 |
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto 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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name 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 d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE 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 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_diagnoses (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 d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
|
when was the last time that patient 6170 got a urine out foley output today?
|
SELECT outputevents.charttime FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 6170)) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'urine out foley' AND d_items.linksto = 'outputevents') AND DATETIME(outputevents.charttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') ORDER BY outputevents.charttime DESC LIMIT 1
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 6170 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'urine out foley' AND "d_items"."linksto" = 'outputevents' GROUP BY "itemid") SELECT "outputevents"."charttime" FROM "outputevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "outputevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "outputevents"."itemid" WHERE DATETIME("outputevents"."charttime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "outputevents"."charttime" DESC NULLS LAST LIMIT 1
| 0.845703 |
CREATE TABLE table_name_97 (pl_gp INT, pick__number VARCHAR, reg_gp VARCHAR)
|
Tell me the highest PI GP with pick # greater than 159 and reg GP more than 0
|
SELECT MAX(pl_gp) FROM table_name_97 WHERE pick__number > 159 AND reg_gp > 0
|
SELECT MAX("pl_gp") FROM "table_name_97" WHERE "pick__number" > 159 AND "reg_gp" > 0
| 0.082031 |
CREATE TABLE table_name_43 (opponent VARCHAR, attendance VARCHAR, result VARCHAR)
|
Which opponent has unknown attendance, and lost 2-0?
|
SELECT opponent FROM table_name_43 WHERE attendance = "unknown" AND result = "lost 2-0"
|
SELECT "opponent" FROM "table_name_43" WHERE "attendance" = "unknown" AND "lost 2-0" = "result"
| 0.092773 |
CREATE TABLE table_23799417_2 (title VARCHAR, original_airing VARCHAR)
|
what is the episode title on original air date of September 30, 2007?
|
SELECT title FROM table_23799417_2 WHERE original_airing = "September 30, 2007"
|
SELECT "title" FROM "table_23799417_2" WHERE "September 30, 2007" = "original_airing"
| 0.083008 |
CREATE TABLE Parts (part_id INT, part_name VARCHAR, chargeable_yn VARCHAR, chargeable_amount VARCHAR, other_part_details VARCHAR)
CREATE TABLE Third_Party_Companies (company_id INT, company_type VARCHAR, company_name VARCHAR, company_address VARCHAR, other_company_details VARCHAR)
CREATE TABLE Assets (asset_id INT, maintenance_contract_id INT, supplier_company_id INT, asset_details VARCHAR, asset_make VARCHAR, asset_model VARCHAR, asset_acquired_date DATETIME, asset_disposed_date DATETIME, other_asset_details VARCHAR)
CREATE TABLE Engineer_Skills (engineer_id INT, skill_id INT)
CREATE TABLE Part_Faults (part_fault_id INT, part_id INT, fault_short_name VARCHAR, fault_description VARCHAR, other_fault_details VARCHAR)
CREATE TABLE Fault_Log (fault_log_entry_id INT, asset_id INT, recorded_by_staff_id INT, fault_log_entry_datetime DATETIME, fault_description VARCHAR, other_fault_details VARCHAR)
CREATE TABLE Skills_Required_To_Fix (part_fault_id INT, skill_id INT)
CREATE TABLE Maintenance_Contracts (maintenance_contract_id INT, maintenance_contract_company_id INT, contract_start_date DATETIME, contract_end_date DATETIME, other_contract_details VARCHAR)
CREATE TABLE Fault_Log_Parts (fault_log_entry_id INT, part_fault_id INT, fault_status VARCHAR)
CREATE TABLE Maintenance_Engineers (engineer_id INT, company_id INT, first_name VARCHAR, last_name VARCHAR, other_details VARCHAR)
CREATE TABLE Asset_Parts (asset_id INT, part_id INT)
CREATE TABLE Skills (skill_id INT, skill_code VARCHAR, skill_description VARCHAR)
CREATE TABLE Engineer_Visits (engineer_visit_id INT, contact_staff_id INT, engineer_id INT, fault_log_entry_id INT, fault_status VARCHAR, visit_start_datetime DATETIME, visit_end_datetime DATETIME, other_visit_details VARCHAR)
CREATE TABLE Staff (staff_id INT, staff_name VARCHAR, gender VARCHAR, other_staff_details VARCHAR)
|
How many staffs have contacted with each engineer? Give me a bar chart grouping by each engineer's first name, rank from high to low by the x axis please.
|
SELECT first_name, COUNT(first_name) FROM Staff AS T1 JOIN Engineer_Visits AS T2 ON T1.staff_id = T2.contact_staff_id JOIN Maintenance_Engineers AS T3 ON T2.engineer_id = T3.engineer_id GROUP BY first_name ORDER BY first_name DESC
|
SELECT "first_name", COUNT("first_name") FROM "Staff" AS "T1" JOIN "Engineer_Visits" AS "T2" ON "T1"."staff_id" = "T2"."contact_staff_id" JOIN "Maintenance_Engineers" AS "T3" ON "T2"."engineer_id" = "T3"."engineer_id" GROUP BY "first_name" ORDER BY "first_name" DESC NULLS LAST
| 0.270508 |
CREATE TABLE table_30054758_5 (high_assists VARCHAR, date VARCHAR)
|
how many high assits have a date of february 5?
|
SELECT high_assists FROM table_30054758_5 WHERE date = "February 5"
|
SELECT "high_assists" FROM "table_30054758_5" WHERE "February 5" = "date"
| 0.071289 |
CREATE TABLE table_39985 ("Television service" TEXT, "Language" TEXT, "Content" TEXT, "HDTV" TEXT, "Package/Option" TEXT)
|
What language has viaggi as the content?
|
SELECT "Language" FROM table_39985 WHERE "Content" = 'viaggi'
|
SELECT "Language" FROM "table_39985" WHERE "Content" = 'viaggi'
| 0.061523 |
CREATE TABLE table_name_31 (post INT, jockey VARCHAR)
|
What is the lowest post number for calvin borel?
|
SELECT MIN(post) FROM table_name_31 WHERE jockey = "calvin borel"
|
SELECT MIN("post") FROM "table_name_31" WHERE "calvin borel" = "jockey"
| 0.069336 |
CREATE TABLE table_train_179 ("id" INT, "systolic_blood_pressure_sbp" INT, "fasting_plasma_glucose_fpg" FLOAT, "diastolic_blood_pressure_dbp" INT, "diabetes" BOOLEAN, "body_mass_index_bmi" FLOAT, "triglyceride_tg" FLOAT, "hypertension" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
|
fasting glucose > 100 mg / dl and < 126 mg / dl all individuals enrolled in the study should have at least 6th grade reading / writing ability.
|
SELECT * FROM table_train_179 WHERE fasting_plasma_glucose_fpg > 100 AND fasting_plasma_glucose_fpg < 126
|
SELECT * FROM "table_train_179" WHERE "fasting_plasma_glucose_fpg" < 126 AND "fasting_plasma_glucose_fpg" > 100
| 0.108398 |
CREATE TABLE table_name_42 (record VARCHAR, home VARCHAR, date VARCHAR)
|
On December 4, Tampa Bay has a record of 12-13-2.
|
SELECT record FROM table_name_42 WHERE home = "tampa bay" AND date = "december 4"
|
SELECT "record" FROM "table_name_42" WHERE "date" = "december 4" AND "home" = "tampa bay"
| 0.086914 |
CREATE TABLE table_771 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Result" TEXT, "Candidates" TEXT)
|
What year was Stephen Pace elected?
|
SELECT MIN("First elected") FROM table_771 WHERE "Incumbent" = 'Stephen Pace'
|
SELECT MIN("First elected") FROM "table_771" WHERE "Incumbent" = 'Stephen Pace'
| 0.077148 |
CREATE TABLE table_53274 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Date" TEXT)
|
Name the away team score for geelong away team
|
SELECT "Away team score" FROM table_53274 WHERE "Away team" = 'geelong'
|
SELECT "Away team score" FROM "table_53274" WHERE "Away team" = 'geelong'
| 0.071289 |
CREATE TABLE table_name_25 (laps VARCHAR, grid VARCHAR, constructor VARCHAR, driver VARCHAR)
|
How many laps were completed by Piers Courage when BRM was the constructor and the grid is larger than 8?
|
SELECT COUNT(laps) FROM table_name_25 WHERE constructor = "brm" AND driver = "piers courage" AND grid > 8
|
SELECT COUNT("laps") FROM "table_name_25" WHERE "brm" = "constructor" AND "driver" = "piers courage" AND "grid" > 8
| 0.112305 |
CREATE TABLE table_47984 ("Match" TEXT, "Date" TEXT, "Location" TEXT, "Lineup" TEXT, "Result" TEXT, "Competition" TEXT)
|
What was the result for the match held in Boston?
|
SELECT "Result" FROM table_47984 WHERE "Location" = 'boston'
|
SELECT "Result" FROM "table_47984" WHERE "Location" = 'boston'
| 0.060547 |
CREATE TABLE Scientists (SSN INT, Name CHAR)
CREATE TABLE Projects (Code CHAR, Name CHAR, Hours INT)
CREATE TABLE AssignedTo (Scientist INT, Project CHAR)
|
Find the number of scientists involved for the projects that require more than 300 hours Show bar chart, order by the Y-axis in descending.
|
SELECT Name, COUNT(*) FROM Projects AS T1 JOIN AssignedTo AS T2 ON T1.Code = T2.Project WHERE T1.Hours > 300 GROUP BY T1.Name ORDER BY COUNT(*) DESC
|
SELECT "Name", COUNT(*) FROM "Projects" AS "T1" JOIN "AssignedTo" AS "T2" ON "T1"."Code" = "T2"."Project" WHERE "T1"."Hours" > 300 GROUP BY "T1"."Name" ORDER BY COUNT(*) DESC NULLS LAST
| 0.180664 |
CREATE TABLE Activity (actid INT, activity_name VARCHAR)
CREATE TABLE Faculty (FacID INT, Lname VARCHAR, Fname VARCHAR, Rank VARCHAR, Sex VARCHAR, Phone INT, Room VARCHAR, Building VARCHAR)
CREATE TABLE Participates_in (stuid INT, actid INT)
CREATE TABLE Student (StuID INT, LName VARCHAR, Fname VARCHAR, Age INT, Sex VARCHAR, Major INT, Advisor INT, city_code VARCHAR)
CREATE TABLE Faculty_Participates_in (FacID INT, actid INT)
|
Display a bar chart for how many male and female assistant professors do we have?, display in asc by the Y-axis.
|
SELECT Sex, COUNT(*) FROM Faculty WHERE Rank = "AsstProf" GROUP BY Sex ORDER BY COUNT(*)
|
SELECT "Sex", COUNT(*) FROM "Faculty" WHERE "AsstProf" = "Rank" GROUP BY "Sex" ORDER BY COUNT(*) NULLS FIRST
| 0.105469 |
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 procedures_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 diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name 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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE 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)
|
is there a microbiology test result in this month for patient 13054's sputum?
|
SELECT COUNT(*) > 0 FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 13054) AND microbiologyevents.spec_type_desc = 'sputum' AND DATETIME(microbiologyevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month')
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 13054 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "microbiologyevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "microbiologyevents"."hadm_id" WHERE "microbiologyevents"."spec_type_desc" = 'sputum' AND DATETIME("microbiologyevents"."charttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_0"."" IS NULL
| 0.43457 |
CREATE TABLE table_name_12 (attendance VARCHAR, date VARCHAR)
|
what is the attendance when the date is october 22, 2000?
|
SELECT attendance FROM table_name_12 WHERE date = "october 22, 2000"
|
SELECT "attendance" FROM "table_name_12" WHERE "date" = "october 22, 2000"
| 0.072266 |
CREATE TABLE table_name_69 (call_sign VARCHAR, class VARCHAR)
|
What is the call sign for a class of A?
|
SELECT call_sign FROM table_name_69 WHERE class = "a"
|
SELECT "call_sign" FROM "table_name_69" WHERE "a" = "class"
| 0.057617 |
CREATE TABLE table_name_94 (title VARCHAR, termination_of_mission VARCHAR)
|
Which Title has a Termination of Mission of current?
|
SELECT title FROM table_name_94 WHERE termination_of_mission = "current"
|
SELECT "title" FROM "table_name_94" WHERE "current" = "termination_of_mission"
| 0.076172 |
CREATE TABLE table_204_192 (id DECIMAL, "year" DECIMAL, "team" TEXT, "co-drivers" TEXT, "car" TEXT, "class" TEXT, "laps" DECIMAL, "pos." TEXT, "class\ pos." TEXT)
|
what was the first race where he placed in the top 10 ?
|
SELECT MIN("year") FROM table_204_192 WHERE "pos." <= 10
|
SELECT MIN("year") FROM "table_204_192" WHERE "pos." <= 10
| 0.056641 |
CREATE TABLE table_2440 ("Position" FLOAT, "Driver" TEXT, "Points" FLOAT, "Winnings" TEXT, "Series" TEXT)
|
What series is at the position 7?
|
SELECT "Series" FROM table_2440 WHERE "Position" = '7'
|
SELECT "Series" FROM "table_2440" WHERE "Position" = '7'
| 0.054688 |
CREATE TABLE Images (image_id INT, image_alt_text VARCHAR, image_name VARCHAR, image_url VARCHAR)
CREATE TABLE Users (user_id INT, role_code VARCHAR, user_name VARCHAR, user_login VARCHAR, password VARCHAR)
CREATE TABLE Functional_Areas (functional_area_code VARCHAR, parent_functional_area_code VARCHAR, functional_area_description VARCHAR)
CREATE TABLE Documents (document_code VARCHAR, document_structure_code VARCHAR, document_type_code VARCHAR, access_count INT, document_name VARCHAR)
CREATE TABLE Document_Sections (section_id INT, document_code VARCHAR, section_sequence INT, section_code VARCHAR, section_title VARCHAR)
CREATE TABLE Document_Structures (document_structure_code VARCHAR, parent_document_structure_code VARCHAR, document_structure_description VARCHAR)
CREATE TABLE Roles (role_code VARCHAR, role_description VARCHAR)
CREATE TABLE Document_Functional_Areas (document_code VARCHAR, functional_area_code VARCHAR)
CREATE TABLE Document_Sections_Images (section_id INT, image_id INT)
|
Pie. what are the different role codes for users, and how many users have each?
|
SELECT role_code, COUNT(*) FROM Users GROUP BY role_code
|
SELECT "role_code", COUNT(*) FROM "Users" GROUP BY "role_code"
| 0.060547 |
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
|
For those employees who was hired before 2002-06-21, return a bar chart about the distribution of hire_date and the sum of employee_id bin hire_date by weekday, and sort in desc by the y-axis please.
|
SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY SUM(EMPLOYEE_ID) DESC
|
SELECT "HIRE_DATE", SUM("EMPLOYEE_ID") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' ORDER BY SUM("EMPLOYEE_ID") DESC NULLS LAST
| 0.128906 |
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)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE 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 lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime 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)
|
what are the new drugs in prescription of patient 006-47576 today compared to that yesterday?
|
SELECT medication.drugname FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.uniquepid = '006-47576') AND DATETIME(medication.drugstarttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') EXCEPT SELECT medication.drugname FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.uniquepid = '006-47576') AND DATETIME(medication.drugstarttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day')
|
WITH "_u_0" AS (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-47576' GROUP BY "patientunitstayid") SELECT "medication"."drugname" FROM "medication" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "medication"."patientunitstayid" WHERE DATETIME("medication"."drugstarttime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') AND NOT "_u_0"."" IS NULL EXCEPT SELECT "medication"."drugname" FROM "medication" LEFT JOIN "_u_0" AS "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE DATETIME("medication"."drugstarttime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') AND NOT "_u_1"."" IS NULL
| 0.658203 |
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 diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
|
give me the number of patients whose age is less than 72 and drug name is aluminum-magnesium hydrox.-simethicone?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "72" AND prescriptions.drug = "Aluminum-Magnesium Hydrox.-Simethicone"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Aluminum-Magnesium Hydrox.-Simethicone" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "72" > "demographic"."age"
| 0.241211 |
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