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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 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 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 jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
For those employees who was hired before 2002-06-21, a bar chart shows the distribution of job_id and the average of manager_id , and group by attribute job_id.
SELECT JOB_ID, AVG(MANAGER_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID
SELECT "JOB_ID", AVG("MANAGER_ID") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' GROUP BY "JOB_ID"
0.099609
CREATE TABLE table_52537 ("Competition" TEXT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Position" TEXT, "Coach" TEXT, "Captain" TEXT, "Main Article" TEXT)
What Captain has Lost 13?
SELECT "Captain" FROM table_52537 WHERE "Lost" = '13'
SELECT "Captain" FROM "table_52537" WHERE "Lost" = '13'
0.053711
CREATE TABLE table_202_276 (id DECIMAL, "year 1958" TEXT, "title {the rebel" TEXT, "role" TEXT, "notes" TEXT)
which year is the most episodes he played in shows ?
SELECT "year 1958" FROM table_202_276 ORDER BY "notes" DESC LIMIT 1
SELECT "year 1958" FROM "table_202_276" ORDER BY "notes" DESC NULLS LAST LIMIT 1
0.078125
CREATE TABLE table_name_87 (overall INT, round VARCHAR)
Which Overall is the lowest one that has a Round of 3?
SELECT MIN(overall) FROM table_name_87 WHERE round = 3
SELECT MIN("overall") FROM "table_name_87" WHERE "round" = 3
0.058594
CREATE TABLE table_name_65 (date VARCHAR, tournament VARCHAR)
What is the Date of the Vigo Tournament?
SELECT date FROM table_name_65 WHERE tournament = "vigo"
SELECT "date" FROM "table_name_65" WHERE "tournament" = "vigo"
0.060547
CREATE TABLE tip (tip_id INT, business_id VARCHAR, text TEXT, user_id VARCHAR, likes INT, year INT, month VARCHAR) CREATE TABLE user (uid INT, user_id VARCHAR, name VARCHAR) CREATE TABLE business (bid INT, business_id VARCHAR, name VARCHAR, full_address VARCHAR, city VARCHAR, latitude VARCHAR, longitude VARCHAR, review_count BIGINT, is_open TINYINT, rating FLOAT, state VARCHAR) CREATE TABLE review (rid INT, business_id VARCHAR, user_id VARCHAR, rating FLOAT, text TEXT, year INT, month VARCHAR) CREATE TABLE neighborhood (id INT, business_id VARCHAR, neighborhood_name VARCHAR) CREATE TABLE category (id INT, business_id VARCHAR, category_name VARCHAR) CREATE TABLE checkin (cid INT, business_id VARCHAR, count INT, day VARCHAR)
list all the reviews by Niloofar
SELECT review.text FROM review, user WHERE user.name = 'Niloofar' AND user.user_id = review.user_id
SELECT "review"."text" FROM "review" JOIN "user" ON "review"."user_id" = "user"."user_id" AND "user"."name" = 'Niloofar'
0.117188
CREATE TABLE table_79782 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Attendance" FLOAT, "Record" TEXT)
For record 25-24, what is the sum of attendance?
SELECT COUNT("Attendance") FROM table_79782 WHERE "Record" = '25-24'
SELECT COUNT("Attendance") FROM "table_79782" WHERE "Record" = '25-24'
0.068359
CREATE TABLE table_72926 ("Body style" TEXT, "Wheelbase" TEXT, "Length" TEXT, "Height" TEXT, "Curb weight" TEXT)
What's the length of the model with Sedan body style?
SELECT "Length" FROM table_72926 WHERE "Body style" = 'Sedan'
SELECT "Length" FROM "table_72926" WHERE "Body style" = 'Sedan'
0.061523
CREATE TABLE table_name_58 (state VARCHAR, royal_house VARCHAR)
What is the state for the royal house of ying?
SELECT state FROM table_name_58 WHERE royal_house = "ying"
SELECT "state" FROM "table_name_58" WHERE "royal_house" = "ying"
0.0625
CREATE TABLE table_name_3 (game VARCHAR, score VARCHAR, points VARCHAR)
Which Game has a Score of 4 0 and Points of 44?
SELECT game FROM table_name_3 WHERE score = "4–0" AND points = 44
SELECT "game" FROM "table_name_3" WHERE "4–0" = "score" AND "points" = 44
0.071289
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT) CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT) CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT) CREATE TABLE 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)
show the number of patients who were transferred within this facility and the procedure icd9 code is 8321.
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" AND procedures.icd9_code = "8321"
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "8321" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "TRSF WITHIN THIS FACILITY" = "demographic"."admission_location"
0.241211
CREATE TABLE railway_manage (Railway_ID INT, Manager_ID INT, From_Year TEXT) CREATE TABLE railway (Railway_ID INT, Railway TEXT, Builder TEXT, Built TEXT, Wheels TEXT, Location TEXT, ObjectNumber TEXT) CREATE TABLE manager (Manager_ID INT, Name TEXT, Country TEXT, Working_year_starts TEXT, Age INT, Level INT) CREATE TABLE train (Train_ID INT, Train_Num TEXT, Name TEXT, From TEXT, Arrival TEXT, Railway_ID INT)
Compare the total number of trains in each name by a bar graph, and order by the Name from high to low.
SELECT Name, COUNT(Name) FROM train GROUP BY Name ORDER BY Name DESC
SELECT "Name", COUNT("Name") FROM "train" GROUP BY "Name" ORDER BY "Name" DESC NULLS LAST
0.086914
CREATE TABLE table_1394 ("Television Station" TEXT, "Frequency" TEXT, "Site" TEXT, "Transmitted" TEXT, "Network" TEXT, "Status" TEXT, "Country of Region" TEXT)
What are the network(s) for tv1?
SELECT "Network" FROM table_1394 WHERE "Television Station" = 'TV1'
SELECT "Network" FROM "table_1394" WHERE "Television Station" = 'TV1'
0.067383
CREATE TABLE table_name_94 (attendance VARCHAR, away_team VARCHAR)
What is the Attendance at the Hereford United Away game?
SELECT attendance FROM table_name_94 WHERE away_team = "hereford united"
SELECT "attendance" FROM "table_name_94" WHERE "away_team" = "hereford united"
0.076172
CREATE TABLE table_35159 ("Position" FLOAT, "Team" TEXT, "Points" FLOAT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Against" FLOAT, "Difference" TEXT)
How many games against for team guarani with under 3 draws?
SELECT SUM("Against") FROM table_35159 WHERE "Team" = 'guarani' AND "Drawn" < '3'
SELECT SUM("Against") FROM "table_35159" WHERE "Drawn" < '3' AND "Team" = 'guarani'
0.081055
CREATE TABLE table_name_90 (position INT, points VARCHAR, draws VARCHAR, goals_against VARCHAR, goals_for VARCHAR)
Which Position has Goals against smaller than 59, and Goals for larger than 32, and Draws larger than 9, and Points larger than 35?
SELECT AVG(position) FROM table_name_90 WHERE goals_against < 59 AND goals_for > 32 AND draws > 9 AND points > 35
SELECT AVG("position") FROM "table_name_90" WHERE "draws" > 9 AND "goals_against" < 59 AND "goals_for" > 32 AND "points" > 35
0.12207
CREATE TABLE table_name_33 (lost VARCHAR)
Which Lost has a Club of club?
SELECT lost FROM table_name_33 WHERE "club" = "club"
SELECT "lost" FROM "table_name_33" WHERE "club" = "club"
0.054688
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 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)
how many patients' primary disease is hypertension but not coronary artery disease/cardiac cath and their year of death is in or before 2115?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "HYPERTENSION;RULE OUT CORONARY ARTERY DISEASE\CARDIAC CATH" AND demographic.dod_year <= "2115.0"
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2115.0" >= "demographic"."dod_year" AND "HYPERTENSION;RULE OUT CORONARY ARTERY DISEASE\CARDIAC CATH" = "demographic"."diagnosis"
0.199219
CREATE TABLE table_name_65 (school VARCHAR, year VARCHAR, event VARCHAR)
What is School, when Year is less than 2013, and when Event is '100 Breaststroke'?
SELECT school FROM table_name_65 WHERE year < 2013 AND event = "100 breaststroke"
SELECT "school" FROM "table_name_65" WHERE "100 breaststroke" = "event" AND "year" < 2013
0.086914
CREATE TABLE table_name_7 (home_team VARCHAR, venue VARCHAR)
What is the home team score when they played at Victoria Park?
SELECT home_team AS score FROM table_name_7 WHERE venue = "victoria park"
SELECT "home_team" AS "score" FROM "table_name_7" WHERE "venue" = "victoria park"
0.079102
CREATE TABLE table_203_179 (id DECIMAL, "goal" DECIMAL, "date" TEXT, "venue" TEXT, "opponent" TEXT, "score" TEXT, "result" TEXT, "competition" TEXT)
how many competitions were something other than a friendly match ?
SELECT COUNT(*) FROM table_203_179 WHERE "competition" <> 'friendly match'
SELECT COUNT(*) FROM "table_203_179" WHERE "competition" <> 'friendly match'
0.074219
CREATE TABLE table_name_28 (ends INT, name VARCHAR)
Name the average ends for weston
SELECT AVG(ends) FROM table_name_28 WHERE name = "weston"
SELECT AVG("ends") FROM "table_name_28" WHERE "name" = "weston"
0.061523
CREATE TABLE table_44271 ("Position" FLOAT, "Team" TEXT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Goals For" FLOAT, "Goals Against" FLOAT, "Goal Difference" TEXT, "Points 1" TEXT)
What was the Goal Difference for Postion 22?
SELECT "Goal Difference" FROM table_44271 WHERE "Position" = '22'
SELECT "Goal Difference" FROM "table_44271" WHERE "Position" = '22'
0.06543
CREATE TABLE table_14752049_2 (international_tourist_arrivals__2010_ VARCHAR, change__2010_to_2011_ VARCHAR)
What are the international tourist arrivals in 2010 where change from 2010 to 2011 is +11.2% ?
SELECT international_tourist_arrivals__2010_ FROM table_14752049_2 WHERE change__2010_to_2011_ = "+11.2%"
SELECT "international_tourist_arrivals__2010_" FROM "table_14752049_2" WHERE "+11.2%" = "change__2010_to_2011_"
0.108398
CREATE TABLE table_33333 ("Player" TEXT, "Nationality" TEXT, "Position" TEXT, "From" TEXT, "School/Country" TEXT)
What position does the player from arkansas play?
SELECT "Position" FROM table_33333 WHERE "School/Country" = 'arkansas'
SELECT "Position" FROM "table_33333" WHERE "School/Country" = 'arkansas'
0.070313
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR) CREATE TABLE flight_fare (flight_id INT, fare_id 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 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 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 fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT) CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT) CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT) CREATE TABLE compartment_class (compartment VARCHAR, class_type 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 restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT) CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT) CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR) CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR) CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR) CREATE TABLE code_description (code VARCHAR, description TEXT) CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT) CREATE TABLE month (month_number INT, month_name TEXT) CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR) CREATE TABLE days (days_code VARCHAR, day_name VARCHAR) CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT) CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT) CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
let 's look at BALTIMORE to PHILADELPHIA again
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 = 'PHILADELPHIA' 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" = 'PHILADELPHIA'
0.500977
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT) CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT) CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT) 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)
count the number of patients whose age is less than 67 and lab test fluid is joint fluid?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "67" AND lab.fluid = "Joint Fluid"
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Joint Fluid" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "67" > "demographic"."age"
0.186523
CREATE TABLE table_name_11 (score VARCHAR, decision VARCHAR, record VARCHAR)
What was the score when the record was 18 14 4 with a toivonen decision?
SELECT score FROM table_name_11 WHERE decision = "toivonen" AND record = "18–14–4"
SELECT "score" FROM "table_name_11" WHERE "18–14–4" = "record" AND "decision" = "toivonen"
0.087891
CREATE TABLE table_18323 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Result" TEXT, "Candidates" TEXT)
When was the first elected for district missouri 7?
SELECT MIN("First elected") FROM table_18323 WHERE "District" = 'Missouri 7'
SELECT MIN("First elected") FROM "table_18323" WHERE "District" = 'Missouri 7'
0.076172
CREATE TABLE table_9509 ("Year" FLOAT, "Class" TEXT, "Team" TEXT, "Points" FLOAT, "Wins" FLOAT)
What is the sum of Wins, when Year is 1959?
SELECT SUM("Wins") FROM table_9509 WHERE "Year" = '1959'
SELECT SUM("Wins") FROM "table_9509" WHERE "Year" = '1959'
0.056641
CREATE TABLE table_35463 ("Series" TEXT, "Date" TEXT, "Entrants" FLOAT, "Winner" TEXT, "First Prize" TEXT)
When was the game that had a first prize of $161,480?
SELECT "Date" FROM table_35463 WHERE "First Prize" = '$161,480'
SELECT "Date" FROM "table_35463" WHERE "First Prize" = '$161,480'
0.063477
CREATE TABLE captain (captain_id DECIMAL, name TEXT, ship_id DECIMAL, age TEXT, class TEXT, rank TEXT) CREATE TABLE ship (ship_id DECIMAL, name TEXT, type TEXT, built_year DECIMAL, class TEXT, flag TEXT)
What are the names of ships that are commanded by both captains with the rank of Midshipman and captains with the rank of Lieutenant?
SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id WHERE t2.rank = 'Midshipman' INTERSECT SELECT t1.name FROM ship AS t1 JOIN captain AS t2 ON t1.ship_id = t2.ship_id WHERE t2.rank = 'Lieutenant'
SELECT "t1"."name" FROM "ship" AS "t1" JOIN "captain" AS "t2" ON "t1"."ship_id" = "t2"."ship_id" AND "t2"."rank" = 'Midshipman' INTERSECT SELECT "t1"."name" FROM "ship" AS "t1" JOIN "captain" AS "t2" ON "t1"."ship_id" = "t2"."ship_id" AND "t2"."rank" = 'Lieutenant'
0.258789
CREATE TABLE table_name_7 (date VARCHAR, opponent VARCHAR, tv_time VARCHAR, game_site VARCHAR)
Which Date has a TV Time of cbs 1:00pm, and a Game Site of rca dome, and an Opponent of cincinnati bengals?
SELECT date FROM table_name_7 WHERE tv_time = "cbs 1:00pm" AND game_site = "rca dome" AND opponent = "cincinnati bengals"
SELECT "date" FROM "table_name_7" WHERE "cbs 1:00pm" = "tv_time" AND "cincinnati bengals" = "opponent" AND "game_site" = "rca dome"
0.12793
CREATE TABLE table_name_79 (icao VARCHAR, iata VARCHAR)
What is the ICAO when the IATA is tgg?
SELECT icao FROM table_name_79 WHERE iata = "tgg"
SELECT "icao" FROM "table_name_79" WHERE "iata" = "tgg"
0.053711
CREATE TABLE table_name_40 (grand_finaldate VARCHAR, season VARCHAR)
I want the Grand Final Date for season 1988
SELECT grand_finaldate FROM table_name_40 WHERE season = 1988
SELECT "grand_finaldate" FROM "table_name_40" WHERE "season" = 1988
0.06543
CREATE TABLE table_54914 ("Tournament" TEXT, "Wins" FLOAT, "Top-5" FLOAT, "Top-25" FLOAT, "Events" FLOAT, "Cuts made" FLOAT)
Tell me the average top 25 with events of 5 and cuts madde less than 3
SELECT AVG("Top-25") FROM table_54914 WHERE "Events" = '5' AND "Cuts made" < '3'
SELECT AVG("Top-25") FROM "table_54914" WHERE "Cuts made" < '3' AND "Events" = '5'
0.080078
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) CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
count the number of private health insurance patients with procedure icd9 code 4523.
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Private" AND procedures.icd9_code = "4523"
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "4523" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Private" = "demographic"."insurance"
0.214844
CREATE TABLE table_46862 ("State" TEXT, "Type" TEXT, "Name" TEXT, "Title" TEXT, "Royal house" TEXT, "From" TEXT)
In which state did Marquis Li rule?
SELECT "State" FROM table_46862 WHERE "Name" = 'li' AND "Title" = 'marquis'
SELECT "State" FROM "table_46862" WHERE "Name" = 'li' AND "Title" = 'marquis'
0.075195
CREATE TABLE table_15635768_1 (date_of_issue VARCHAR, face_value VARCHAR)
When the face value is 42 , what was the issue's date?
SELECT date_of_issue FROM table_15635768_1 WHERE face_value = "42¢"
SELECT "date_of_issue" FROM "table_15635768_1" WHERE "42¢" = "face_value"
0.071289
CREATE TABLE flight_fare (flight_id INT, fare_id INT) CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT) CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT) CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR) CREATE TABLE days (days_code VARCHAR, day_name VARCHAR) CREATE TABLE month (month_number INT, month_name TEXT) CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT) 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 equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR) CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT) CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT) CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR) CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT) CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR) CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR) CREATE TABLE flight_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 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 airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT) CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR) CREATE TABLE code_description (code VARCHAR, description TEXT) CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR) CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT) CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR) CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
describe PITTSBURGH airport
SELECT DISTINCT airport.airport_code, airport.airport_location, airport.airport_name, airport.country_name, airport.minimum_connect_time, airport.state_code, airport.time_zone_code FROM airport, airport_service, city WHERE airport.airport_code = airport_service.airport_code AND city.city_code = airport_service.city_code AND city.city_name = 'PITTSBURGH'
SELECT DISTINCT "airport"."airport_code", "airport"."airport_location", "airport"."airport_name", "airport"."country_name", "airport"."minimum_connect_time", "airport"."state_code", "airport"."time_zone_code" FROM "airport" JOIN "airport_service" ON "airport"."airport_code" = "airport_service"."airport_code" JOIN "city" ON "airport_service"."city_code" = "city"."city_code" AND "city"."city_name" = 'PITTSBURGH'
0.40332
CREATE TABLE table_name_65 (Id VARCHAR)
What is the value in 1971 when 30 is the value for 1969?
SELECT 1971 FROM table_name_65 WHERE 1969 = "30"
SELECT 1971 FROM "table_name_65" WHERE "30" = 1969
0.048828
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 lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime 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 treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime 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 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 intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
give me the amount of output until 12/21/2105 for patient 012-29464.
SELECT SUM(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '012-29464')) AND intakeoutput.cellpath LIKE '%output%' AND STRFTIME('%y-%m-%d', intakeoutput.intakeoutputtime) <= '2105-12-21'
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '012-29464' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT SUM("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."cellpath" LIKE '%output%' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m-%d', "intakeoutput"."intakeoutputtime") <= '2105-12-21'
0.634766
CREATE TABLE table_name_89 (country VARCHAR, score VARCHAR, player VARCHAR)
What Country has a 67 score by Phil Mickelson?
SELECT country FROM table_name_89 WHERE score = 67 AND player = "phil mickelson"
SELECT "country" FROM "table_name_89" WHERE "phil mickelson" = "player" AND "score" = 67
0.085938
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT) CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT) CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT) CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT) CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
count the number of patients whose discharge location is short term hospital and procedure icd9 code is 17?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "SHORT TERM HOSPITAL" AND procedures.icd9_code = "17"
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "17" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "SHORT TERM HOSPITAL" = "demographic"."discharge_location"
0.233398
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL) CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL) CREATE TABLE ReviewTaskTypes (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 PostTypes (Id DECIMAL, Name TEXT) CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT) CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL) CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT) CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME) 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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL) CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT) CREATE TABLE 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 PostTags (PostId DECIMAL, TagId DECIMAL) CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT) CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other) CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL) CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT) CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL) CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN) CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT) CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT) CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL) CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT) CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL) CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT) CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL) CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
SebasSBM's custom filter (test phase).
SELECT Id FROM Posts WHERE ViewCount = 9999
SELECT "Id" FROM "Posts" WHERE "ViewCount" = 9999
0.047852
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT) CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT) CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT) CREATE TABLE 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)
Give me the number of patients less than 81 years who had an insertion of endotracheal tube procedure.
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "81" AND procedures.long_title = "Insertion of endotracheal tube"
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Insertion of endotracheal tube" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "81" > "demographic"."age"
0.230469
CREATE TABLE table_27332 ("Episode No." TEXT, "Prod No." FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original airdate UK" TEXT)
What is the production number of 3-04?
SELECT MAX("Prod No.") FROM table_27332 WHERE "Episode No." = '3-04'
SELECT MAX("Prod No.") FROM "table_27332" WHERE "Episode No." = '3-04'
0.068359
CREATE TABLE table_204_320 (id DECIMAL, "rank" DECIMAL, "nation" TEXT, "gold" DECIMAL, "silver" DECIMAL, "bronze" DECIMAL, "total" DECIMAL)
which country received the least bronze medals ?
SELECT "nation" FROM table_204_320 ORDER BY "bronze" LIMIT 1
SELECT "nation" FROM "table_204_320" ORDER BY "bronze" NULLS FIRST LIMIT 1
0.072266
CREATE TABLE table_26016 ("#" FLOAT, "Title" TEXT, "Original airdate" TEXT, "Timeslot" TEXT, "Viewers ( millions ) " TEXT, "Nightly rank" FLOAT, "Weekly rank" FLOAT)
What date did Episode 22 originally air?
SELECT COUNT("Original airdate") FROM table_26016 WHERE "#" = '22'
SELECT COUNT("Original airdate") FROM "table_26016" WHERE "#" = '22'
0.066406
CREATE TABLE table_46982 ("Position" FLOAT, "Pilot" TEXT, "Glider" TEXT, "Speed" TEXT, "Distance" TEXT)
What is the average Position, when Speed is '143.5km/h'?
SELECT AVG("Position") FROM table_46982 WHERE "Speed" = '143.5km/h'
SELECT AVG("Position") FROM "table_46982" WHERE "Speed" = '143.5km/h'
0.067383
CREATE TABLE table_25716399_1 (no_in_season INT, directed_by VARCHAR)
What season was an episode directed by wendey stanzler?
SELECT MAX(no_in_season) FROM table_25716399_1 WHERE directed_by = "Wendey Stanzler"
SELECT MAX("no_in_season") FROM "table_25716399_1" WHERE "Wendey Stanzler" = "directed_by"
0.087891
CREATE TABLE table_56236 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
Which venue did the home team score 14.23 (107)?
SELECT "Venue" FROM table_56236 WHERE "Home team score" = '14.23 (107)'
SELECT "Venue" FROM "table_56236" WHERE "Home team score" = '14.23 (107)'
0.071289
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 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)
how many patients were diagnosed with a congenital heart anomaly nos and an abnormal lab test?
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 = "Cong heart anomaly NOS" AND lab.flag = "abnormal"
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Cong heart anomaly NOS" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "abnormal" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id"
0.272461
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT) CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT) CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT) CREATE TABLE 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)
calculate the maximum age of unmarried patients who have unknown/not specified ethnic background.
SELECT MAX(demographic.age) FROM demographic WHERE demographic.marital_status = "SINGLE" AND demographic.ethnicity = "UNKNOWN/NOT SPECIFIED"
SELECT MAX("demographic"."age") FROM "demographic" WHERE "SINGLE" = "demographic"."marital_status" AND "UNKNOWN/NOT SPECIFIED" = "demographic"."ethnicity"
0.150391
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 d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT) CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL) CREATE TABLE 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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL) CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL) CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT) CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME) CREATE TABLE 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_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title 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 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 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)
get count of the number of hospital visits of patient 5658 in 2103.
SELECT COUNT(DISTINCT admissions.hadm_id) FROM admissions WHERE admissions.subject_id = 5658 AND STRFTIME('%y', admissions.admittime) = '2103'
SELECT COUNT(DISTINCT "admissions"."hadm_id") FROM "admissions" WHERE "admissions"."subject_id" = 5658 AND STRFTIME('%y', "admissions"."admittime") = '2103'
0.152344
CREATE TABLE table_68455 ("Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Opponent" TEXT, "Score" TEXT)
Which tournament had a hard surface?
SELECT "Tournament" FROM table_68455 WHERE "Surface" = 'hard'
SELECT "Tournament" FROM "table_68455" WHERE "Surface" = 'hard'
0.061523
CREATE TABLE table_name_5 (theatre VARCHAR, author VARCHAR, year VARCHAR)
Author of stanis aw wyspia ski, and a Year of 1969 happened in what theatre?
SELECT theatre FROM table_name_5 WHERE author = "stanisław wyspiański" AND year = 1969
SELECT "theatre" FROM "table_name_5" WHERE "author" = "stanisław wyspiański" AND "year" = 1969
0.091797
CREATE TABLE table_name_8 (callsign VARCHAR, area_served VARCHAR, frequency VARCHAR)
What is the Callsign with an Area of tamworth and frequency of 0 88.9?
SELECT callsign FROM table_name_8 WHERE area_served = "tamworth" AND frequency = "0 88.9"
SELECT "callsign" FROM "table_name_8" WHERE "0 88.9" = "frequency" AND "area_served" = "tamworth"
0.094727
CREATE TABLE table_train_174 ("id" INT, "fasting_plasma_glucose_fpg" FLOAT, "hemoglobin_a1c_hba1c" FLOAT, "substance_dependence" BOOLEAN, "estimated_glomerular_filtration_rate_egfr" INT, "allergy_to_insulin_lispro" BOOLEAN, "urine_albumin_to_creatinine_ratio_uacr" INT, "smoking" BOOLEAN, "NOUSE" FLOAT)
have known allergies or history of hypersensitivity to insulin lispro
SELECT * FROM table_train_174 WHERE allergy_to_insulin_lispro = 1
SELECT * FROM "table_train_174" WHERE "allergy_to_insulin_lispro" = 1
0.067383
CREATE TABLE table_23132 ("Pick #" FLOAT, "Player" TEXT, "Position" TEXT, "Nationality" TEXT, "NHL team" TEXT, "College/junior/club team" TEXT)
When michigan technological university (ncaa) is the college, junior, or club team what is the nationality?
SELECT "Nationality" FROM table_23132 WHERE "College/junior/club team" = 'Michigan Technological University (NCAA)'
SELECT "Nationality" FROM "table_23132" WHERE "College/junior/club team" = 'Michigan Technological University (NCAA)'
0.114258
CREATE TABLE table_name_24 (name VARCHAR, ties VARCHAR)
Who has ties of 5?
SELECT name FROM table_name_24 WHERE ties = 5
SELECT "name" FROM "table_name_24" WHERE "ties" = 5
0.049805
CREATE TABLE table_23633 ("Date" TEXT, "Venue" TEXT, "Home Team" TEXT, "Score" TEXT, "Away Team" TEXT, "Competition" TEXT, "Winner" TEXT, "Head to Head" TEXT)
Name the competition for australia 13, new zealand 40, drawn 3
SELECT "Competition" FROM table_23633 WHERE "Head to Head" = 'Australia 13, New Zealand 40, Drawn 3'
SELECT "Competition" FROM "table_23633" WHERE "Head to Head" = 'Australia 13, New Zealand 40, Drawn 3'
0.099609
CREATE TABLE table_204_151 (id DECIMAL, "game" DECIMAL, "day" TEXT, "date" TEXT, "kickoff" TEXT, "opponent" TEXT, "results\ score" TEXT, "results\ record" TEXT, "location" TEXT, "attendance" DECIMAL)
how many games did the harrisburg heat win in which they scored eight or more goals ?
SELECT COUNT(*) FROM table_204_151 WHERE "results\nscore" = 'w' AND "results\nscore" >= 8
SELECT COUNT(*) FROM "table_204_151" WHERE "results\nscore" = 'w' AND "results\nscore" >= 8
0.088867
CREATE TABLE table_14253123_1 (area_sq_mi__km_2____rank_ VARCHAR, county_seat VARCHAR)
When Vincennes is the county seat what is the area sq mi (km 2 ) (rank) ?
SELECT area_sq_mi__km_2____rank_ FROM table_14253123_1 WHERE county_seat = "Vincennes"
SELECT "area_sq_mi__km_2____rank_" FROM "table_14253123_1" WHERE "Vincennes" = "county_seat"
0.089844
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 vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME) CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL) CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime 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) CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime 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)
when did patient 027-106613 first take a tv lab test in 04/2103?
SELECT lab.labresulttime FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-106613')) AND lab.labname = 'tv' AND STRFTIME('%y-%m', lab.labresulttime) = '2103-04' ORDER BY lab.labresulttime LIMIT 1
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '027-106613' 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 "lab"."labresulttime" FROM "lab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'tv' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "lab"."labresulttime") = '2103-04' ORDER BY "lab"."labresulttime" NULLS FIRST LIMIT 1
0.614258
CREATE TABLE player_college (player_id TEXT, college_id TEXT, year DECIMAL) CREATE TABLE hall_of_fame (player_id TEXT, yearid DECIMAL, votedby TEXT, ballots DECIMAL, needed DECIMAL, votes DECIMAL, inducted TEXT, category TEXT, needed_note TEXT) CREATE TABLE college (college_id TEXT, name_full TEXT, city TEXT, state TEXT, country TEXT) CREATE TABLE fielding_postseason (player_id TEXT, year DECIMAL, team_id TEXT, league_id TEXT, round TEXT, pos TEXT, g DECIMAL, gs DECIMAL, inn_outs DECIMAL, po DECIMAL, a DECIMAL, e DECIMAL, dp DECIMAL, tp DECIMAL, pb DECIMAL, sb DECIMAL, cs DECIMAL) CREATE TABLE park (park_id TEXT, park_name TEXT, park_alias TEXT, city TEXT, state TEXT, country TEXT) CREATE TABLE batting (player_id TEXT, year DECIMAL, stint DECIMAL, team_id TEXT, league_id TEXT, g DECIMAL, ab DECIMAL, r DECIMAL, h DECIMAL, double DECIMAL, triple DECIMAL, hr DECIMAL, rbi DECIMAL, sb DECIMAL, cs DECIMAL, bb DECIMAL, so DECIMAL, ibb DECIMAL, hbp DECIMAL, sh DECIMAL, sf DECIMAL, g_idp DECIMAL) CREATE TABLE postseason (year DECIMAL, round TEXT, team_id_winner TEXT, league_id_winner TEXT, team_id_loser TEXT, league_id_loser TEXT, wins DECIMAL, losses DECIMAL, ties DECIMAL) CREATE TABLE manager (player_id TEXT, year DECIMAL, team_id TEXT, league_id TEXT, inseason DECIMAL, g DECIMAL, w DECIMAL, l DECIMAL, rank DECIMAL, plyr_mgr TEXT) CREATE TABLE team (year DECIMAL, league_id TEXT, team_id TEXT, franchise_id TEXT, div_id TEXT, rank DECIMAL, g DECIMAL, ghome DECIMAL, w DECIMAL, l DECIMAL, div_win TEXT, wc_win TEXT, lg_win TEXT, ws_win TEXT, r DECIMAL, ab DECIMAL, h DECIMAL, double DECIMAL, triple DECIMAL, hr DECIMAL, bb DECIMAL, so DECIMAL, sb DECIMAL, cs DECIMAL, hbp DECIMAL, sf DECIMAL, ra DECIMAL, er DECIMAL, era DECIMAL, cg DECIMAL, sho DECIMAL, sv DECIMAL, ipouts DECIMAL, ha DECIMAL, hra DECIMAL, bba DECIMAL, soa DECIMAL, e DECIMAL, dp DECIMAL, fp DECIMAL, name TEXT, park TEXT, attendance DECIMAL, bpf DECIMAL, ppf DECIMAL, team_id_br TEXT, team_id_lahman45 TEXT, team_id_retro TEXT) CREATE TABLE manager_award (player_id TEXT, award_id TEXT, year DECIMAL, league_id TEXT, tie TEXT, notes DECIMAL) CREATE TABLE fielding (player_id TEXT, year DECIMAL, stint DECIMAL, team_id TEXT, league_id TEXT, pos TEXT, g DECIMAL, gs DECIMAL, inn_outs DECIMAL, po DECIMAL, a DECIMAL, e DECIMAL, dp DECIMAL, pb DECIMAL, wp DECIMAL, sb DECIMAL, cs DECIMAL, zr DECIMAL) CREATE TABLE player (player_id TEXT, birth_year DECIMAL, birth_month DECIMAL, birth_day DECIMAL, birth_country TEXT, birth_state TEXT, birth_city TEXT, death_year DECIMAL, death_month DECIMAL, death_day DECIMAL, death_country TEXT, death_state TEXT, death_city TEXT, name_first TEXT, name_last TEXT, name_given TEXT, weight DECIMAL, height DECIMAL, bats TEXT, throws TEXT, debut TEXT, final_game TEXT, retro_id TEXT, bbref_id TEXT) CREATE TABLE appearances (year DECIMAL, team_id TEXT, league_id TEXT, player_id TEXT, g_all DECIMAL, gs DECIMAL, g_batting DECIMAL, g_defense DECIMAL, g_p DECIMAL, g_c DECIMAL, g_1b DECIMAL, g_2b DECIMAL, g_3b DECIMAL, g_ss DECIMAL, g_lf DECIMAL, g_cf DECIMAL, g_rf DECIMAL, g_of DECIMAL, g_dh DECIMAL, g_ph DECIMAL, g_pr DECIMAL) CREATE TABLE manager_half (player_id TEXT, year DECIMAL, team_id TEXT, league_id TEXT, inseason DECIMAL, half DECIMAL, g DECIMAL, w DECIMAL, l DECIMAL, rank DECIMAL) CREATE TABLE home_game (year DECIMAL, league_id TEXT, team_id TEXT, park_id TEXT, span_first TEXT, span_last TEXT, games DECIMAL, openings DECIMAL, attendance DECIMAL) CREATE TABLE fielding_outfield (player_id TEXT, year DECIMAL, stint DECIMAL, glf DECIMAL, gcf DECIMAL, grf DECIMAL) CREATE TABLE all_star (player_id TEXT, year DECIMAL, game_num DECIMAL, game_id TEXT, team_id TEXT, league_id TEXT, gp DECIMAL, starting_pos DECIMAL) CREATE TABLE manager_award_vote (award_id TEXT, year DECIMAL, league_id TEXT, player_id TEXT, points_won DECIMAL, points_max DECIMAL, votes_first DECIMAL) CREATE TABLE pitching_postseason (player_id TEXT, year DECIMAL, round TEXT, team_id TEXT, league_id TEXT, w DECIMAL, l DECIMAL, g DECIMAL, gs DECIMAL, cg DECIMAL, sho DECIMAL, sv DECIMAL, ipouts DECIMAL, h DECIMAL, er DECIMAL, hr DECIMAL, bb DECIMAL, so DECIMAL, baopp TEXT, era DECIMAL, ibb DECIMAL, wp DECIMAL, hbp DECIMAL, bk DECIMAL, bfp DECIMAL, gf DECIMAL, r DECIMAL, sh DECIMAL, sf DECIMAL, g_idp DECIMAL) CREATE TABLE player_award (player_id TEXT, award_id TEXT, year DECIMAL, league_id TEXT, tie TEXT, notes TEXT) CREATE TABLE team_franchise (franchise_id TEXT, franchise_name TEXT, active TEXT, na_assoc TEXT) CREATE TABLE team_half (year DECIMAL, league_id TEXT, team_id TEXT, half DECIMAL, div_id TEXT, div_win TEXT, rank DECIMAL, g DECIMAL, w DECIMAL, l DECIMAL) CREATE TABLE player_award_vote (award_id TEXT, year DECIMAL, league_id TEXT, player_id TEXT, points_won DECIMAL, points_max DECIMAL, votes_first DECIMAL) CREATE TABLE batting_postseason (year DECIMAL, round TEXT, player_id TEXT, team_id TEXT, league_id TEXT, g DECIMAL, ab DECIMAL, r DECIMAL, h DECIMAL, double DECIMAL, triple DECIMAL, hr DECIMAL, rbi DECIMAL, sb DECIMAL, cs DECIMAL, bb DECIMAL, so DECIMAL, ibb DECIMAL, hbp DECIMAL, sh DECIMAL, sf DECIMAL, g_idp DECIMAL) CREATE TABLE pitching (player_id TEXT, year DECIMAL, stint DECIMAL, team_id TEXT, league_id TEXT, w DECIMAL, l DECIMAL, g DECIMAL, gs DECIMAL, cg DECIMAL, sho DECIMAL, sv DECIMAL, ipouts DECIMAL, h DECIMAL, er DECIMAL, hr DECIMAL, bb DECIMAL, so DECIMAL, baopp DECIMAL, era DECIMAL, ibb DECIMAL, wp DECIMAL, hbp DECIMAL, bk DECIMAL, bfp DECIMAL, gf DECIMAL, r DECIMAL, sh DECIMAL, sf DECIMAL, g_idp DECIMAL) CREATE TABLE salary (year DECIMAL, team_id TEXT, league_id TEXT, player_id TEXT, salary DECIMAL)
Count the number of players who were born in USA and have bats information 'R'.
SELECT COUNT(*) FROM player WHERE birth_country = 'USA' AND bats = 'R'
SELECT COUNT(*) FROM "player" WHERE "bats" = 'R' AND "birth_country" = 'USA'
0.074219
CREATE TABLE table_name_54 (grade VARCHAR, chin_up__reps_ VARCHAR)
Which grade did the chin-up (reps) 9-10 receive?
SELECT grade FROM table_name_54 WHERE chin_up__reps_ = "9-10"
SELECT "grade" FROM "table_name_54" WHERE "9-10" = "chin_up__reps_"
0.06543
CREATE TABLE table_39603 ("Year" FLOAT, "Championship" TEXT, "54 Holes" TEXT, "Winning Score" TEXT, "Margin" TEXT, "Runner ( s ) -up" TEXT)
Which championship has a winning score of (77-76-74-73=300)?
SELECT "Championship" FROM table_39603 WHERE "Winning Score" = '(77-76-74-73=300)'
SELECT "Championship" FROM "table_39603" WHERE "Winning Score" = '(77-76-74-73=300)'
0.082031
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT) CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT) CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT) CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT) CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
how many patients are diagnosed with primary disease angioedema and operated with procedure ventricl shunt tube punc?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "ANGIOEDEMA" AND procedures.short_title = "Ventricl shunt tube punc"
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Ventricl shunt tube punc" = "procedures"."short_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "ANGIOEDEMA" = "demographic"."diagnosis"
0.239258
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, draw a bar chart about the distribution of name and revenue , and group by attribute headquarter, and could you show bar in asc order?
SELECT T1.Name, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter, T1.Name ORDER BY T1.Name
SELECT "T1"."Name", "T2"."Revenue" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Headquarter", "T1"."Name" ORDER BY "T1"."Name" NULLS FIRST
0.188477
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)
how many patients are admitted urgently and are born before 2080?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "URGENT" AND demographic.dob_year < "2080"
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2080" > "demographic"."dob_year" AND "URGENT" = "demographic"."admission_type"
0.150391
CREATE TABLE table_79826 ("Nat." TEXT, "Name" TEXT, "Since" TEXT, "Goals" FLOAT, "Transfer fee" TEXT)
What is the nationality of the player with a transfer fee of 400k?
SELECT "Nat." FROM table_79826 WHERE "Transfer fee" = '£400k'
SELECT "Nat." FROM "table_79826" WHERE "Transfer fee" = '£400k'
0.061523
CREATE TABLE table_25990 ("Player" TEXT, "Games Played" FLOAT, "Minutes" FLOAT, "Field Goals" FLOAT, "Three Pointers" FLOAT, "Free Throws" FLOAT, "Rebounds" FLOAT, "Assists" FLOAT, "Blocks" FLOAT, "Steals" FLOAT, "Points" FLOAT)
How many games did janae stokes play?
SELECT MAX("Games Played") FROM table_25990 WHERE "Player" = 'Janae Stokes'
SELECT MAX("Games Played") FROM "table_25990" WHERE "Player" = 'Janae Stokes'
0.075195
CREATE TABLE table_55174 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
Which Time/Retired entry has greater than 51 laps and driver Cristiano da Matta?
SELECT "Time/Retired" FROM table_55174 WHERE "Laps" > '51' AND "Driver" = 'cristiano da matta'
SELECT "Time/Retired" FROM "table_55174" WHERE "Driver" = 'cristiano da matta' AND "Laps" > '51'
0.09375
CREATE TABLE table_name_10 (purse VARCHAR, year VARCHAR)
What is the Purse listed for the Year of 1998?
SELECT purse FROM table_name_10 WHERE year = "1998"
SELECT "purse" FROM "table_name_10" WHERE "1998" = "year"
0.055664
CREATE TABLE table_101336_1 (no_of_cu_o_planes_in_unit_cell VARCHAR, formula VARCHAR)
How many times is the formula tl 2 ba 2 cuo 6?
SELECT no_of_cu_o_planes_in_unit_cell FROM table_101336_1 WHERE formula = "Tl 2 Ba 2 CuO 6"
SELECT "no_of_cu_o_planes_in_unit_cell" FROM "table_101336_1" WHERE "Tl 2 Ba 2 CuO 6" = "formula"
0.094727
CREATE TABLE table_33310 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
Who was the away team when the home team scored 10.12 (72)?
SELECT "Away team" FROM table_33310 WHERE "Home team score" = '10.12 (72)'
SELECT "Away team" FROM "table_33310" WHERE "Home team score" = '10.12 (72)'
0.074219
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 cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost 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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT) CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT) CREATE TABLE d_icd_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 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 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 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
what was the name of the drug prescribed for patient 99647 during the same hospital visit after having received a pericardiocentesis procedure since 12/2102?
SELECT t2.drug FROM (SELECT admissions.subject_id, procedures_icd.charttime, admissions.hadm_id FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE admissions.subject_id = 99647 AND procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'pericardiocentesis') AND STRFTIME('%y-%m', procedures_icd.charttime) >= '2102-12') AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate, admissions.hadm_id FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE admissions.subject_id = 99647 AND STRFTIME('%y-%m', prescriptions.startdate) >= '2102-12') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND t1.hadm_id = t2.hadm_id
WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate", "admissions"."hadm_id" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" AND "admissions"."subject_id" = 99647 WHERE STRFTIME('%y-%m', "prescriptions"."startdate") >= '2102-12') SELECT "t2"."drug" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'pericardiocentesis' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" AND "admissions"."subject_id" = 99647 JOIN "t2" AS "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."startdate" WHERE STRFTIME('%y-%m', "procedures_icd"."charttime") >= '2102-12'
0.832031
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) 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)
report the number of patients with newborn primary disease who have abnormal lab test status.
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.diagnosis = "NEWBORN" AND lab.flag = "abnormal"
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "abnormal" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "NEWBORN" = "demographic"."diagnosis"
0.193359
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 Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN) CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL) CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL) CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT) CREATE TABLE PostTypes (Id DECIMAL, Name TEXT) CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT) CREATE TABLE ReviewTaskStates (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 ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT) 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 ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId 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 ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT) CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL) CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT) CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId 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 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 PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL) CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME) CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT) CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT) 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 PostHistoryTypes (Id DECIMAL, Name TEXT) CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL) CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
Question length and score (I don't know SQL...).
WITH Keyed AS (SELECT CAST(Posts.Score AS FLOAT) AS Score, POWER(ROUND(SQRT(LENGTH(Body)), 0), 2) AS PostLength FROM Posts WHERE PostTypeId = 1), Sized AS (SELECT PostLength, AVG(Score) AS MeanScore, COUNT(Score) AS ClusterSize FROM Keyed GROUP BY PostLength) SELECT PostLength, MeanScore, ClusterSize FROM Sized WHERE ClusterSize > 100 ORDER BY PostLength
WITH "Sized" AS (SELECT MAX(1) AS "_" FROM "Keyed" GROUP BY "PostLength"), "_u_0" AS (SELECT 1 AS "_" FROM "Posts" GROUP BY 1) SELECT "PostLength", "MeanScore", "ClusterSize" FROM "Sized" LEFT JOIN "_u_0" AS "_u_0" ON "PostTypeId" = "_u_0"."_" WHERE "ClusterSize" > 100 ORDER BY "PostLength" NULLS FIRST
0.295898
CREATE TABLE table_1974782_1 (type VARCHAR, location VARCHAR)
What's the type of the school in New London, Connecticut?
SELECT type FROM table_1974782_1 WHERE location = "New London, Connecticut"
SELECT "type" FROM "table_1974782_1" WHERE "New London, Connecticut" = "location"
0.079102
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT) CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT) CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT) CREATE TABLE 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)
provide the number of patients whose insurance is government and procedure long title is parenteral infusion of concentrated nutritional substances?
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Government" AND procedures.long_title = "Parenteral infusion of concentrated nutritional substances"
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Parenteral infusion of concentrated nutritional substances" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Government" = "demographic"."insurance"
0.271484
CREATE TABLE table_13036 ("Team 1" TEXT, "Score" TEXT, "Team 2" TEXT, "1st round" TEXT, "2nd round" TEXT)
Which is team 2 when team 1 is ECAC Chaumont (d2)?
SELECT "Team 2" FROM table_13036 WHERE "Team 1" = 'ecac chaumont (d2)'
SELECT "Team 2" FROM "table_13036" WHERE "Team 1" = 'ecac chaumont (d2)'
0.070313
CREATE TABLE table_name_83 (opposing_teams VARCHAR, date VARCHAR)
Who were the opposing teams on 08/02/1969?
SELECT opposing_teams FROM table_name_83 WHERE date = "08/02/1969"
SELECT "opposing_teams" FROM "table_name_83" WHERE "08/02/1969" = "date"
0.070313
CREATE TABLE table_name_90 (round INT, player VARCHAR)
what is the highest round when the player is troy creurer (d)?
SELECT MAX(round) FROM table_name_90 WHERE player = "troy creurer (d)"
SELECT MAX("round") FROM "table_name_90" WHERE "player" = "troy creurer (d)"
0.074219
CREATE TABLE Course_Authors_and_Tutors (author_id INT, author_tutor_ATB VARCHAR, login_name VARCHAR, password VARCHAR, personal_name VARCHAR, middle_name VARCHAR, family_name VARCHAR, gender_mf VARCHAR, address_line_1 VARCHAR) CREATE TABLE Students (student_id INT, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR, password VARCHAR, personal_name VARCHAR, middle_name VARCHAR, family_name VARCHAR) CREATE TABLE Courses (course_id INT, author_id INT, subject_id INT, course_name VARCHAR, course_description VARCHAR) CREATE TABLE Student_Course_Enrolment (registration_id INT, student_id INT, course_id INT, date_of_enrolment DATETIME, date_of_completion DATETIME) CREATE TABLE Subjects (subject_id INT, subject_name VARCHAR) CREATE TABLE Student_Tests_Taken (registration_id INT, date_test_taken DATETIME, test_result VARCHAR)
Show me about the distribution of personal_name and author_id in a bar chart.
SELECT personal_name, author_id FROM Course_Authors_and_Tutors ORDER BY personal_name
SELECT "personal_name", "author_id" FROM "Course_Authors_and_Tutors" ORDER BY "personal_name" NULLS FIRST
0.102539
CREATE TABLE Ref_Payment_Methods (payment_method_code CHAR, payment_method_description VARCHAR) CREATE TABLE Marketing_Regions (Marketing_Region_Code CHAR, Marketing_Region_Name VARCHAR, Marketing_Region_Descriptrion VARCHAR, Other_Details VARCHAR) CREATE TABLE Invoices (Invoice_ID INT, Order_ID INT, payment_method_code CHAR, Product_ID INT, Order_Quantity VARCHAR, Other_Item_Details VARCHAR, Order_Item_ID INT) CREATE TABLE Order_Items (Order_Item_ID INT, Order_ID INT, Product_ID INT, Order_Quantity VARCHAR, Other_Item_Details VARCHAR) CREATE TABLE Bookings_Services (Order_ID INT, Product_ID INT) CREATE TABLE Invoice_Items (Invoice_Item_ID INT, Invoice_ID INT, Order_ID INT, Order_Item_ID INT, Product_ID INT, Order_Quantity INT, Other_Item_Details VARCHAR) CREATE TABLE Products (Product_ID VARCHAR, Product_Name VARCHAR, Product_Price DECIMAL, Product_Description VARCHAR, Other_Product_Service_Details VARCHAR) CREATE TABLE Clients (Client_ID INT, Address_ID INT, Customer_Email_Address VARCHAR, Customer_Name VARCHAR, Customer_Phone VARCHAR, Other_Details VARCHAR) CREATE TABLE Customers (Customer_ID VARCHAR, Address_ID INT, Customer_Name VARCHAR, Customer_Phone VARCHAR, Customer_Email_Address VARCHAR, Other_Details VARCHAR) CREATE TABLE Stores (Store_ID VARCHAR, Address_ID INT, Marketing_Region_Code CHAR, Store_Name VARCHAR, Store_Phone VARCHAR, Store_Email_Address VARCHAR, Other_Details VARCHAR) CREATE TABLE Addresses (Address_ID VARCHAR, Line_1 VARCHAR, Line_2 VARCHAR, City_Town VARCHAR, State_County VARCHAR, Other_Details VARCHAR) CREATE TABLE Drama_Workshop_Groups (Workshop_Group_ID INT, Address_ID INT, Currency_Code CHAR, Marketing_Region_Code CHAR, Store_Name VARCHAR, Store_Phone VARCHAR, Store_Email_Address VARCHAR, Other_Details VARCHAR) CREATE TABLE Bookings (Booking_ID INT, Customer_ID INT, Workshop_Group_ID VARCHAR, Status_Code CHAR, Store_ID INT, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR) CREATE TABLE Performers_in_Bookings (Order_ID INT, Performer_ID INT) CREATE TABLE Customer_Orders (Order_ID INT, Customer_ID INT, Store_ID INT, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR) CREATE TABLE Performers (Performer_ID INT, Address_ID INT, Customer_Name VARCHAR, Customer_Phone VARCHAR, Customer_Email_Address VARCHAR, Other_Details VARCHAR) CREATE TABLE Ref_Service_Types (Service_Type_Code CHAR, Parent_Service_Type_Code CHAR, Service_Type_Description VARCHAR) CREATE TABLE Services (Service_ID INT, Service_Type_Code CHAR, Workshop_Group_ID INT, Product_Description VARCHAR, Product_Name VARCHAR, Product_Price DECIMAL, Other_Product_Service_Details VARCHAR)
Show all cities along with the number of drama workshop groups in each city. Visualize by bar chart.
SELECT City_Town, COUNT(*) FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Address_ID = T2.Address_ID GROUP BY T1.City_Town
SELECT "City_Town", COUNT(*) FROM "Addresses" AS "T1" JOIN "Drama_Workshop_Groups" AS "T2" ON "T1"."Address_ID" = "T2"."Address_ID" GROUP BY "T1"."City_Town"
0.15332
CREATE TABLE table_54923 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Leading scorer" TEXT, "Attendance" FLOAT, "Record" TEXT)
How many people attended the game on 8 March 2008?
SELECT SUM("Attendance") FROM table_54923 WHERE "Date" = '8 march 2008'
SELECT SUM("Attendance") FROM "table_54923" WHERE "Date" = '8 march 2008'
0.071289
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_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 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 regions (REGION_ID DECIMAL, REGION_NAME VARCHAR) CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
For all employees who have the letters D or S in their first name, draw a bar chart about the distribution of hire_date and the sum of employee_id bin hire_date by time.
SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%'
SELECT "HIRE_DATE", SUM("EMPLOYEE_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%'
0.109375
CREATE TABLE table_name_82 (location___state VARCHAR, team VARCHAR, winner VARCHAR)
Castrol Perkins Motorsport and the winner Russell Ingall was in what location/state?
SELECT location___state FROM table_name_82 WHERE team = "castrol perkins motorsport" AND winner = "russell ingall"
SELECT "location___state" FROM "table_name_82" WHERE "castrol perkins motorsport" = "team" AND "russell ingall" = "winner"
0.119141
CREATE TABLE table_name_28 (diameter VARCHAR, year_of_issue VARCHAR)
Which Diameter has a Year of Issue of 1977?
SELECT diameter FROM table_name_28 WHERE year_of_issue = 1977
SELECT "diameter" FROM "table_name_28" WHERE "year_of_issue" = 1977
0.06543
CREATE TABLE table_name_95 (date VARCHAR, opponent VARCHAR, record VARCHAR)
Opponent of @mil, and a Record of 45-16 happened on what date?
SELECT date FROM table_name_95 WHERE opponent = "@mil" AND record = "45-16"
SELECT "date" FROM "table_name_95" WHERE "45-16" = "record" AND "@mil" = "opponent"
0.081055
CREATE TABLE table_5973 ("Rank" FLOAT, "Rider" TEXT, "Team" TEXT, "Speed" TEXT, "Time" TEXT)
Rank larger than 8, and a Rider of chris barrett is what team?
SELECT "Team" FROM table_5973 WHERE "Rank" > '8' AND "Rider" = 'chris barrett'
SELECT "Team" FROM "table_5973" WHERE "Rank" > '8' AND "Rider" = 'chris barrett'
0.078125
CREATE TABLE table_67538 ("Country" TEXT, "2012" FLOAT, "2011" FLOAT, "2010" FLOAT, "2009" FLOAT, "2008" FLOAT, "2007" FLOAT, "2006" FLOAT, "2005" FLOAT, "2004" FLOAT, "2003" FLOAT, "2002" FLOAT, "2001" FLOAT, "2000" FLOAT, "1999" FLOAT, "1998" FLOAT, "1997" FLOAT, "1996" FLOAT, "1995" FLOAT, "1994" FLOAT, "1993" FLOAT, "1992" FLOAT, "1991" FLOAT, "1990" FLOAT, "1989" FLOAT, "1988" FLOAT)
what is the listing for 1992 when 1999 is more than 1, 2008 is less than 2 and 2003 is less than 2?
SELECT SUM("1992") FROM table_67538 WHERE "1999" > '1' AND "2008" < '2' AND "2003" < '2'
SELECT SUM("1992") FROM "table_67538" WHERE "1999" > '1' AND "2003" < '2' AND "2008" < '2'
0.087891
CREATE TABLE table_name_7 (place_of_birth VARCHAR, elevator VARCHAR, elector VARCHAR)
What is the place of birth when the elevator is Nicholas IV, and elector is Napoleone Orsini Frangipani?
SELECT place_of_birth FROM table_name_7 WHERE elevator = "nicholas iv" AND elector = "napoleone orsini frangipani"
SELECT "place_of_birth" FROM "table_name_7" WHERE "elector" = "napoleone orsini frangipani" AND "elevator" = "nicholas iv"
0.119141
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT) CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT) CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR) CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT) CREATE TABLE gsi (course_offering_id INT, student_id INT) CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT) CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college 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 comment_instructor (instructor_id INT, student_id INT, score INT, comment_text 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 ta (campus_job_id INT, student_id INT, location VARCHAR) 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 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 offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT) CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR) CREATE TABLE area (course_id INT, area VARCHAR)
Does Dennis Capozza teach the class ENVIRON 377 ?
SELECT COUNT(*) > 0 FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND course.department = 'ENVIRON' AND course.number = 377 AND instructor.name LIKE '%Dennis Capozza%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id
SELECT COUNT(*) > 0 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" AND "instructor"."name" LIKE '%Dennis Capozza%' WHERE "course"."department" = 'ENVIRON' AND "course"."number" = 377
0.408203
CREATE TABLE table_27914606_1 (title VARCHAR, written_by VARCHAR)
what is the name of the episode whose writers were jeff astrof & matt goldman?
SELECT title FROM table_27914606_1 WHERE written_by = "Jeff Astrof & Matt Goldman"
SELECT "title" FROM "table_27914606_1" WHERE "Jeff Astrof & Matt Goldman" = "written_by"
0.085938
CREATE TABLE table_13956521_2 (_number INT, original_airdate VARCHAR)
what is the maximum # with original airdate being march 14, 2001
SELECT MAX(_number) FROM table_13956521_2 WHERE original_airdate = "March 14, 2001"
SELECT MAX("_number") FROM "table_13956521_2" WHERE "March 14, 2001" = "original_airdate"
0.086914
CREATE TABLE table_18066 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT)
What's the title of the episode directed by David von Ancken, with a episode number bigger than 16.0?
SELECT "Title" FROM table_18066 WHERE "Directed by" = 'David Von Ancken' AND "No. in series" > '16.0'
SELECT "Title" FROM "table_18066" WHERE "Directed by" = 'David Von Ancken' AND "No. in series" > '16.0'
0.100586
CREATE TABLE playlisttrack (playlistid DECIMAL, trackid DECIMAL) CREATE TABLE playlist (playlistid DECIMAL, name TEXT) CREATE TABLE customer (customerid DECIMAL, firstname TEXT, lastname TEXT, company TEXT, address TEXT, city TEXT, state TEXT, country TEXT, postalcode TEXT, phone TEXT, fax TEXT, email TEXT, supportrepid DECIMAL) CREATE TABLE artist (artistid DECIMAL, name TEXT) CREATE TABLE album (albumid DECIMAL, title TEXT, artistid DECIMAL) CREATE TABLE invoice (invoiceid DECIMAL, customerid DECIMAL, invoicedate TIME, billingaddress TEXT, billingcity TEXT, billingstate TEXT, billingcountry TEXT, billingpostalcode TEXT, total DECIMAL) CREATE TABLE genre (genreid DECIMAL, name TEXT) CREATE TABLE mediatype (mediatypeid DECIMAL, name TEXT) CREATE TABLE employee (employeeid DECIMAL, lastname TEXT, firstname TEXT, title TEXT, reportsto DECIMAL, birthdate TIME, hiredate TIME, address TEXT, city TEXT, state TEXT, country TEXT, postalcode TEXT, phone TEXT, fax TEXT, email TEXT) CREATE TABLE invoiceline (invoicelineid DECIMAL, invoiceid DECIMAL, trackid DECIMAL, unitprice DECIMAL, quantity DECIMAL) CREATE TABLE track (trackid DECIMAL, name TEXT, albumid DECIMAL, mediatypeid DECIMAL, genreid DECIMAL, composer TEXT, milliseconds DECIMAL, bytes DECIMAL, unitprice DECIMAL)
What is all the customer information for customers in NY state?
SELECT * FROM customer WHERE state = "NY"
SELECT * FROM "customer" WHERE "NY" = "state"
0.043945