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CREATE TABLE table_32886 ("Driver" TEXT, "Car #" FLOAT, "Make" TEXT, "Points" TEXT, "Laps" FLOAT, "Winnings" TEXT)
|
Who has won $98,860?
|
SELECT "Driver" FROM table_32886 WHERE "Winnings" = '$98,860'
|
SELECT "Driver" FROM "table_32886" WHERE "Winnings" = '$98,860'
| 0.061523 |
CREATE TABLE table_204_532 (id DECIMAL, "season" TEXT, "tier" DECIMAL, "division" TEXT, "place" TEXT)
|
what is the only season the club placed 5th ?
|
SELECT "season" FROM table_204_532 WHERE "place" = 5
|
SELECT "season" FROM "table_204_532" WHERE "place" = 5
| 0.052734 |
CREATE TABLE table_77957 ("Series" TEXT, "Monday" TEXT, "Tuesday" TEXT, "Thursday" TEXT, "Saturday" TEXT)
|
Which series airs Saturday on Channel 5?
|
SELECT "Series" FROM table_77957 WHERE "Saturday" = 'channel 5'
|
SELECT "Series" FROM "table_77957" WHERE "Saturday" = 'channel 5'
| 0.063477 |
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)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
what is the number of patients whose admission type is newborn and drug type is main?
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SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "NEWBORN" AND prescriptions.drug_type = "MAIN"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "MAIN" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "NEWBORN" = "demographic"."admission_type"
| 0.228516 |
CREATE TABLE table_6753 ("Version" TEXT, "Length" TEXT, "Album" TEXT, "Remixed by" TEXT, "Year" FLOAT)
|
Who remixed an album of dance remixes?
|
SELECT "Remixed by" FROM table_6753 WHERE "Album" = 'dance remixes'
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SELECT "Remixed by" FROM "table_6753" WHERE "Album" = 'dance remixes'
| 0.067383 |
CREATE TABLE table_56710 ("Player" TEXT, "Nationality" TEXT, "Position" TEXT, "Years for Jazz" TEXT, "School/Club Team" TEXT)
|
What player had the position guard/forward?
|
SELECT "Player" FROM table_56710 WHERE "Position" = 'guard/forward'
|
SELECT "Player" FROM "table_56710" WHERE "Position" = 'guard/forward'
| 0.067383 |
CREATE TABLE table_20106 ("No" FLOAT, "Driver" TEXT, "Entrant" TEXT, "Constructor" TEXT, "Chassis" TEXT, "Engine" TEXT)
|
How many cars used number 48?
|
SELECT COUNT("Engine") FROM table_20106 WHERE "No" = '48'
|
SELECT COUNT("Engine") FROM "table_20106" WHERE "No" = '48'
| 0.057617 |
CREATE TABLE table_name_1 (Id VARCHAR)
|
What was the value in 2008 when 2012 was 1R, 2010 was A, and 2005 was A?
|
SELECT 2008 FROM table_name_1 WHERE 2012 = "1r" AND 2010 = "a" AND 2005 = "a"
|
SELECT 2008 FROM "table_name_1" WHERE "1r" = 2012 AND "a" = 2005 AND "a" = 2010
| 0.077148 |
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE 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 city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
|
could you tell me the cheapest fare from ATLANTA to BOSTON on 31 of 8
|
SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day AS DATE_DAY_0, date_day AS DATE_DAY_1, days AS DAYS_0, days AS DAYS_1, fare, fare_basis, flight, flight_fare WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND DATE_DAY_1.day_number = 31 AND DATE_DAY_1.month_number = 8 AND DATE_DAY_1.year = 1991 AND DAYS_1.day_name = DATE_DAY_1.day_name AND flight.flight_days = DAYS_1.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ATLANTA' AND DATE_DAY_0.day_number = 31 AND DATE_DAY_0.month_number = 8 AND DATE_DAY_0.year = 1991 AND DAYS_0.day_name = DATE_DAY_0.day_name AND fare_basis.basis_days = DAYS_0.days_code AND fare.fare_basis_code = fare_basis.fare_basis_code AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, date_day AS DATE_DAYalias2, date_day AS DATE_DAYalias3, days AS DAYSalias2, days AS DAYSalias3, fare AS FAREalias1, fare_basis AS FARE_BASISalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE (CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'BOSTON' AND DATE_DAYalias3.day_number = 31 AND DATE_DAYalias3.month_number = 8 AND DATE_DAYalias3.year = 1991 AND DAYSalias3.day_name = DATE_DAYalias3.day_name AND FLIGHTalias1.flight_days = DAYSalias3.days_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'ATLANTA' AND DATE_DAYalias2.day_number = 31 AND DATE_DAYalias2.month_number = 8 AND DATE_DAYalias2.year = 1991 AND DAYSalias2.day_name = DATE_DAYalias2.day_name AND FARE_BASISalias1.basis_days = DAYSalias2.days_code AND FAREalias1.fare_basis_code = FARE_BASISalias1.fare_basis_code AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code)
|
WITH "_u_0" AS (SELECT MIN("FAREalias1"."one_direction_cost") FROM "airport_service" AS "AIRPORT_SERVICEalias2" JOIN "date_day" AS "DATE_DAYalias2" ON "DATE_DAYalias2"."day_number" = 31 AND "DATE_DAYalias2"."month_number" = 8 AND "DATE_DAYalias2"."year" = 1991 JOIN "date_day" AS "DATE_DAYalias3" ON "DATE_DAYalias3"."day_number" = 31 AND "DATE_DAYalias3"."month_number" = 8 AND "DATE_DAYalias3"."year" = 1991 JOIN "city" AS "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'ATLANTA' JOIN "days" AS "DAYSalias2" ON "DATE_DAYalias2"."day_name" = "DAYSalias2"."day_name" JOIN "days" AS "DAYSalias3" ON "DATE_DAYalias3"."day_name" = "DAYSalias3"."day_name" JOIN "fare_basis" AS "FARE_BASISalias1" ON "DAYSalias2"."days_code" = "FARE_BASISalias1"."basis_days" JOIN "flight" AS "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" AND "DAYSalias3"."days_code" = "FLIGHTalias1"."flight_days" JOIN "airport_service" AS "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "flight_fare" AS "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" AS "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'BOSTON' JOIN "fare" AS "FAREalias1" ON "FARE_BASISalias1"."fare_basis_code" = "FAREalias1"."fare_basis_code" AND "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id") SELECT DISTINCT "fare"."fare_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" AS "DATE_DAY_0" ON "DATE_DAY_0"."day_number" = 31 AND "DATE_DAY_0"."month_number" = 8 AND "DATE_DAY_0"."year" = 1991 JOIN "date_day" AS "DATE_DAY_1" ON "DATE_DAY_1"."day_number" = 31 AND "DATE_DAY_1"."month_number" = 8 AND "DATE_DAY_1"."year" = 1991 JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'ATLANTA' JOIN "days" AS "DAYS_0" ON "DATE_DAY_0"."day_name" = "DAYS_0"."day_name" JOIN "days" AS "DAYS_1" ON "DATE_DAY_1"."day_name" = "DAYS_1"."day_name" JOIN "fare_basis" ON "DAYS_0"."days_code" = "fare_basis"."basis_days" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "DAYS_1"."days_code" = "flight"."flight_days" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BOSTON' JOIN "fare" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" AND "fare"."fare_id" = "flight_fare"."fare_id" JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "fare"."one_direction_cost"
| 2.729492 |
CREATE TABLE table_name_5 (chassis VARCHAR, entrant VARCHAR)
|
What chassis had an entrant of G.A. Vandervell?
|
SELECT chassis FROM table_name_5 WHERE entrant = "g.a. vandervell"
|
SELECT "chassis" FROM "table_name_5" WHERE "entrant" = "g.a. vandervell"
| 0.070313 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE 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)
|
Specify the number of patients with abdominal pain as their primary disease that were less than 59 years old.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "ABDOMINAL PAIN" AND demographic.age < "59"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "59" > "demographic"."age" AND "ABDOMINAL PAIN" = "demographic"."diagnosis"
| 0.146484 |
CREATE TABLE table_68433 ("Date" TEXT, "City" TEXT, "Event" TEXT, "Winner" TEXT, "Prize" TEXT)
|
Who is the winner of the prize of 200,000 as listed?
|
SELECT "Winner" FROM table_68433 WHERE "Prize" = '£200,000'
|
SELECT "Winner" FROM "table_68433" WHERE "Prize" = '£200,000'
| 0.05957 |
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)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
|
count the number of patients whose admission type is emergency and year of birth is less than 2065?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.dob_year < "2065"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2065" > "demographic"."dob_year" AND "EMERGENCY" = "demographic"."admission_type"
| 0.15332 |
CREATE TABLE table_44377 ("Solvent" TEXT, "Chemical Formula" TEXT, "Boiling point" TEXT, "Dielectric constant" TEXT, "Density" TEXT, "Dipole moment ( D ) " TEXT)
|
What's the dipole moment of ethyl acetate (etoac)?
|
SELECT "Dipole moment ( D )" FROM table_44377 WHERE "Solvent" = 'ethyl acetate (etoac)'
|
SELECT "Dipole moment ( D )" FROM "table_44377" WHERE "Solvent" = 'ethyl acetate (etoac)'
| 0.086914 |
CREATE TABLE table_1341930_40 (incumbent VARCHAR, first_elected VARCHAR)
|
Name the incumbent for first elected 1956
|
SELECT incumbent FROM table_1341930_40 WHERE first_elected = 1956
|
SELECT "incumbent" FROM "table_1341930_40" WHERE "first_elected" = 1956
| 0.069336 |
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
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 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 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 d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_procedures (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 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)
|
among patients that were prescribed with syringe (pca), what are the five most frequently prescribed drugs at the same time until 1 year ago?
|
SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'syringe (pca)' AND DATETIME(prescriptions.startdate) <= DATETIME(CURRENT_TIME(), '-1 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE DATETIME(prescriptions.startdate) <= DATETIME(CURRENT_TIME(), '-1 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE DATETIME(t1.startdate) = DATETIME(t2.startdate) GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 5
|
WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate") <= DATETIME(CURRENT_TIME(), '-1 year')), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND DATETIME("prescriptions"."startdate") = DATETIME("t2"."startdate") WHERE "prescriptions"."drug" = 'syringe (pca)' AND DATETIME("prescriptions"."startdate") <= DATETIME(CURRENT_TIME(), '-1 year') GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" AS "t3" WHERE "t3"."c1" <= 5
| 0.788086 |
CREATE TABLE table_name_1 (position VARCHAR, team VARCHAR)
|
Which position was morristown minutemen in?
|
SELECT position FROM table_name_1 WHERE team = "morristown minutemen"
|
SELECT "position" FROM "table_name_1" WHERE "morristown minutemen" = "team"
| 0.073242 |
CREATE TABLE table_name_7 (venue VARCHAR, competition VARCHAR)
|
Which venue is the friendly match in?
|
SELECT venue FROM table_name_7 WHERE competition = "friendly match"
|
SELECT "venue" FROM "table_name_7" WHERE "competition" = "friendly match"
| 0.071289 |
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)
|
Create a bar chart showing all_games_percent across acc regular season, sort in descending by the Y.
|
SELECT ACC_Regular_Season, All_Games_Percent FROM basketball_match ORDER BY All_Games_Percent DESC
|
SELECT "ACC_Regular_Season", "All_Games_Percent" FROM "basketball_match" ORDER BY "All_Games_Percent" DESC NULLS LAST
| 0.114258 |
CREATE TABLE table_39503 ("Start date" TEXT, "End date" TEXT, "Pos." TEXT, "Player" TEXT, "To club" TEXT)
|
What player was moved to Blackpool?
|
SELECT "Player" FROM table_39503 WHERE "To club" = 'blackpool'
|
SELECT "Player" FROM "table_39503" WHERE "To club" = 'blackpool'
| 0.0625 |
CREATE TABLE table_200_7 (id DECIMAL, "afrikaans" TEXT, "ipa" TEXT, "dutch" TEXT, "english" TEXT, "german" TEXT)
|
how do you say ` yes ' in afrikaans ?
|
SELECT "afrikaans" FROM table_200_7 WHERE "english" = 'yes'
|
SELECT "afrikaans" FROM "table_200_7" WHERE "english" = 'yes'
| 0.05957 |
CREATE TABLE table_22139 ("English name" TEXT, "Thai name" TEXT, "Abbr." TEXT, "Transcription" TEXT, "Sanskrit word" TEXT, "Zodiac sign" TEXT)
|
What's the abbreviation of the month in the zodiac sign scorpio?
|
SELECT "Abbr." FROM table_22139 WHERE "Zodiac sign" = 'Scorpio'
|
SELECT "Abbr." FROM "table_22139" WHERE "Zodiac sign" = 'Scorpio'
| 0.063477 |
CREATE TABLE table_21636599_2 (security_forces VARCHAR, civilians VARCHAR)
|
What are the security forces when the civilians are 202?
|
SELECT security_forces FROM table_21636599_2 WHERE civilians = "202"
|
SELECT "security_forces" FROM "table_21636599_2" WHERE "202" = "civilians"
| 0.072266 |
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 scatter chart about the correlation between Team_ID and All_Games_Percent , and group by attribute Team_Name.
|
SELECT Team_ID, All_Games_Percent FROM basketball_match GROUP BY Team_Name
|
SELECT "Team_ID", "All_Games_Percent" FROM "basketball_match" GROUP BY "Team_Name"
| 0.080078 |
CREATE TABLE table_69538 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Record" TEXT)
|
On what date was the record 62 84?
|
SELECT "Date" FROM table_69538 WHERE "Record" = '62–84'
|
SELECT "Date" FROM "table_69538" WHERE "Record" = '62–84'
| 0.055664 |
CREATE TABLE table_4567 ("Higher harmonics" TEXT, "Darwin" TEXT, "Period" TEXT, "Speed" TEXT, "Doodson coefficients" TEXT, "NOAA" TEXT)
|
What is the NOAA of the higher harmonics that have a Darwin of mn 4?
|
SELECT "NOAA" FROM table_4567 WHERE "Darwin" = 'mn 4'
|
SELECT "NOAA" FROM "table_4567" WHERE "Darwin" = 'mn 4'
| 0.053711 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE 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 treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
|
indicate the monthly average amount of sao2 for patient 006-2586 since 1 day ago.
|
SELECT AVG(vitalperiodic.sao2) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-2586')) AND NOT vitalperiodic.sao2 IS NULL AND DATETIME(vitalperiodic.observationtime) >= DATETIME(CURRENT_TIME(), '-1 day') GROUP BY STRFTIME('%y-%m', vitalperiodic.observationtime)
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '006-2586' 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 AVG("vitalperiodic"."sao2") FROM "vitalperiodic" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE DATETIME("vitalperiodic"."observationtime") >= DATETIME(CURRENT_TIME(), '-1 day') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."sao2" IS NULL GROUP BY STRFTIME('%y-%m', "vitalperiodic"."observationtime")
| 0.688477 |
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostTags (PostId DECIMAL, TagId 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 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 SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (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 Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
|
questions only tagged with merge.
|
SELECT Id AS "post_link" FROM Posts WHERE PostTypeId = 1 AND Tags LIKE '<cognito-forms>'
|
SELECT "Id" AS "post_link" FROM "Posts" WHERE "PostTypeId" = 1 AND "Tags" LIKE '<cognito-forms>'
| 0.09375 |
CREATE TABLE table_203_312 (id DECIMAL, "name" TEXT, "club" TEXT, "position" TEXT, "years" TEXT, "current status" TEXT, "international caps" DECIMAL)
|
how many players are currently retired ?
|
SELECT COUNT("current status") FROM table_203_312 WHERE "current status" = 'retired'
|
SELECT COUNT("current status") FROM "table_203_312" WHERE "current status" = 'retired'
| 0.083984 |
CREATE TABLE table_75926 ("Player" TEXT, "Nationality" TEXT, "Position" TEXT, "Years in Orlando" TEXT, "School/Club Team" TEXT)
|
What School/Club did Dominique Wilkins play for?
|
SELECT "School/Club Team" FROM table_75926 WHERE "Player" = 'dominique wilkins'
|
SELECT "School/Club Team" FROM "table_75926" WHERE "Player" = 'dominique wilkins'
| 0.079102 |
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE 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 countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
|
For those employees who did not have any job in the past, draw a line chart about the change of salary over hire_date , rank by the X in asc.
|
SELECT HIRE_DATE, SALARY FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY HIRE_DATE
|
SELECT "HIRE_DATE", "SALARY" FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") ORDER BY "HIRE_DATE" NULLS FIRST
| 0.143555 |
CREATE TABLE table_59017 ("Pick" FLOAT, "Player" TEXT, "Team" TEXT, "Position" TEXT, "Hometown/School" TEXT)
|
What is Team, when Position is 'LHP', and when Pick is '23'?
|
SELECT "Team" FROM table_59017 WHERE "Position" = 'lhp' AND "Pick" = '23'
|
SELECT "Team" FROM "table_59017" WHERE "Pick" = '23' AND "Position" = 'lhp'
| 0.073242 |
CREATE TABLE table_204_475 (id DECIMAL, "home team" TEXT, "score" TEXT, "away team" TEXT, "date" TEXT, "agg" TEXT)
|
what is the home team of the only 0-0 score ?
|
SELECT "home team" FROM table_204_475 WHERE "score" = '0-0'
|
SELECT "home team" FROM "table_204_475" WHERE "score" = '0-0'
| 0.05957 |
CREATE TABLE table_6358 ("Games" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Points difference" TEXT, "Points" FLOAT)
|
Hoe many of lost have points greater than 14?
|
SELECT COUNT("Lost") FROM table_6358 WHERE "Points" > '14'
|
SELECT COUNT("Lost") FROM "table_6358" WHERE "Points" > '14'
| 0.058594 |
CREATE TABLE acceptance (submission_id DECIMAL, workshop_id DECIMAL, result TEXT)
CREATE TABLE workshop (workshop_id DECIMAL, date TEXT, venue TEXT, name TEXT)
CREATE TABLE submission (submission_id DECIMAL, scores DECIMAL, author TEXT, college TEXT)
|
How many submissions are there?
|
SELECT COUNT(*) FROM submission
|
SELECT COUNT(*) FROM "submission"
| 0.032227 |
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 days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name 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 code_description (code VARCHAR, description 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 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 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 airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE 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 date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE 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_leg (flight_id INT, leg_number INT, leg_flight INT)
|
does UA fly from DENVER to BALTIMORE
|
SELECT DISTINCT airline.airline_code FROM airline, airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE ((flight.airline_code = 'UA') AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BALTIMORE' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND flight.airline_code = airline.airline_code AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
|
SELECT DISTINCT "airline"."airline_code" FROM "airline" JOIN "flight" ON "airline"."airline_code" = "flight"."airline_code" AND "flight"."airline_code" = 'UA' JOIN "airport_service" AS "AIRPORT_SERVICE_0" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'DENVER' JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BALTIMORE'
| 0.600586 |
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 prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE 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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name 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_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 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 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 d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
tell me the maximum sao2 in patient 4368 on 05/24/this year?
|
SELECT MAX(chartevents.valuenum) FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 4368)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'sao2' AND d_items.linksto = 'chartevents') AND DATETIME(chartevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m-%d', chartevents.charttime) = '05-24'
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 4368 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" = 'sao2' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT MAX("chartevents"."valuenum") FROM "chartevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE DATETIME("chartevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%m-%d', "chartevents"."charttime") = '05-24'
| 0.834961 |
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE 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 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 diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
|
what was the organism name found in the last microbiological blood, venipuncture test of patient 031-3355 in this month?
|
SELECT microlab.organism FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-3355')) AND microlab.culturesite = 'blood, venipuncture' AND DATETIME(microlab.culturetakentime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') ORDER BY microlab.culturetakentime DESC LIMIT 1
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '031-3355' 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 "microlab"."organism" FROM "microlab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "microlab"."patientunitstayid" WHERE "microlab"."culturesite" = 'blood, venipuncture' AND DATETIME("microlab"."culturetakentime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_1"."" IS NULL ORDER BY "microlab"."culturetakentime" DESC NULLS LAST LIMIT 1
| 0.719727 |
CREATE TABLE table_204_373 (id DECIMAL, "wager" TEXT, "winner" TEXT, "loser" TEXT, "location" TEXT, "date" TEXT)
|
how many fights did mocho cota win after 1983 ?
|
SELECT COUNT(*) FROM table_204_373 WHERE "winner" = 'mocho cota' AND "date" > 1983
|
SELECT COUNT(*) FROM "table_204_373" WHERE "date" > 1983 AND "winner" = 'mocho cota'
| 0.082031 |
CREATE TABLE table_16259 ("Rnd" TEXT, "Race Name" TEXT, "Circuit" TEXT, "City/Location" TEXT, "Date" TEXT, "Pole position" TEXT, "Winning driver" TEXT, "Winning team" TEXT, "Report" TEXT)
|
meadowlands sports complex is the circuit at which city/location?
|
SELECT "City/Location" FROM table_16259 WHERE "Circuit" = 'Meadowlands Sports Complex'
|
SELECT "City/Location" FROM "table_16259" WHERE "Circuit" = 'Meadowlands Sports Complex'
| 0.085938 |
CREATE TABLE table_54069 ("Rank" FLOAT, "Name" TEXT, "Location" TEXT, "State" TEXT, "Designer , Year" TEXT)
|
Where is pine valley?
|
SELECT "Location" FROM table_54069 WHERE "Name" = 'pine valley'
|
SELECT "Location" FROM "table_54069" WHERE "Name" = 'pine valley'
| 0.063477 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
give me the number of patients whose primary disease is t5 fracture and procedure icd9 code is 3612?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "T5 FRACTURE" AND procedures.icd9_code = "3612"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "3612" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "T5 FRACTURE" = "demographic"."diagnosis"
| 0.21875 |
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE 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 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)
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 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 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 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 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 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 d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
|
what was the name of the procedure that's been performed to patient 5310 two times during a month before?
|
SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, COUNT(procedures_icd.charttime) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 5310) AND DATETIME(procedures_icd.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 = 2)
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 5310 GROUP BY "hadm_id"), "t1" AS (SELECT "procedures_icd"."icd9_code", COUNT("procedures_icd"."charttime") AS "c1" FROM "procedures_icd" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_0"."" IS NULL GROUP BY "procedures_icd"."icd9_code"), "_u_1" AS (SELECT "t1"."icd9_code" FROM "t1" AS "t1" WHERE "t1"."c1" = 2 GROUP BY "icd9_code") SELECT "d_icd_procedures"."short_title" FROM "d_icd_procedures" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "d_icd_procedures"."icd9_code" WHERE NOT "_u_1"."" IS NULL
| 0.732422 |
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE 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 TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE FlagTypes (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 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 VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress 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 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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
|
Number of users with reputation grouped and ordered by last access date.
|
SELECT DATEADD(day, DATEDIFF(day, 0, LastAccessDate), 0) AS "Last access date", COUNT(*) AS "Users" FROM Users WHERE Reputation >= '##Reputation:int?5##' GROUP BY DATEADD(day, DATEDIFF(day, 0, LastAccessDate), 0) ORDER BY DATEADD(day, DATEDIFF(day, 0, LastAccessDate), 0)
|
SELECT DATEADD(DAY, DATEDIFF(LASTACCESSDATE, CAST(0 AS DATETIME), CAST("day" AS DATETIME)), 0) AS "Last access date", COUNT(*) AS "Users" FROM "Users" WHERE "Reputation" >= '##Reputation:int?5##' GROUP BY DATEADD(DAY, DATEDIFF(LASTACCESSDATE, CAST(0 AS DATETIME), CAST("day" AS DATETIME)), 0) ORDER BY DATEADD(DAY, DATEDIFF(LASTACCESSDATE, CAST(0 AS DATETIME), CAST("day" AS DATETIME)), 0) NULLS FIRST
| 0.391602 |
CREATE TABLE table_16744 ("Race Name" TEXT, "Circuit" TEXT, "Date" TEXT, "Winning driver" TEXT, "Constructor" TEXT, "Report" TEXT)
|
Did the I Brazilian Grand Prix have a report?
|
SELECT "Report" FROM table_16744 WHERE "Race Name" = 'I Brazilian Grand Prix'
|
SELECT "Report" FROM "table_16744" WHERE "Race Name" = 'I Brazilian Grand Prix'
| 0.077148 |
CREATE TABLE table_27450 ("June 10-11" TEXT, "March 27-29" TEXT, "January 15-16" TEXT, "November 3" TEXT, "August 21-22" TEXT)
|
How many datas were recorded on January 15-16 if August 21-22 is 155?
|
SELECT COUNT("January 15-16") FROM table_27450 WHERE "August 21-22" = '155'
|
SELECT COUNT("January 15-16") FROM "table_27450" WHERE "August 21-22" = '155'
| 0.075195 |
CREATE TABLE table_name_61 (total INT, fa_cup VARCHAR, fa_trophy VARCHAR)
|
What is the average total with 1 FA cup and more than 0 FA trophies?
|
SELECT AVG(total) FROM table_name_61 WHERE fa_cup = 1 AND fa_trophy > 0
|
SELECT AVG("total") FROM "table_name_61" WHERE "fa_cup" = 1 AND "fa_trophy" > 0
| 0.077148 |
CREATE TABLE table_19042 ("Episode" TEXT, "Original Air Date" TEXT, "Viewers ( millions ) " TEXT, "Presenter" TEXT, "Location" TEXT)
|
What episode of the Pride of Britain Awards had an audience of 6.06 million viewers?
|
SELECT "Episode" FROM table_19042 WHERE "Viewers (millions)" = '6.06'
|
SELECT "Episode" FROM "table_19042" WHERE "Viewers (millions)" = '6.06'
| 0.069336 |
CREATE TABLE table_27734769_8 (date VARCHAR, high_points VARCHAR)
|
What is the date the high points was lamarcus aldridge (36)?
|
SELECT date FROM table_27734769_8 WHERE high_points = "LaMarcus Aldridge (36)"
|
SELECT "date" FROM "table_27734769_8" WHERE "LaMarcus Aldridge (36)" = "high_points"
| 0.082031 |
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 cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
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 diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
|
how did patient 027-107035 last come into the hospital since 2105?
|
SELECT patient.hospitaladmitsource FROM patient WHERE patient.uniquepid = '027-107035' AND STRFTIME('%y', patient.hospitaladmittime) >= '2105' ORDER BY patient.hospitaladmittime DESC LIMIT 1
|
SELECT "patient"."hospitaladmitsource" FROM "patient" WHERE "patient"."uniquepid" = '027-107035' AND STRFTIME('%y', "patient"."hospitaladmittime") >= '2105' ORDER BY "patient"."hospitaladmittime" DESC NULLS LAST LIMIT 1
| 0.213867 |
CREATE TABLE table_11497980_1 (torque_nm VARCHAR, gcm__kg__technical_capacity VARCHAR, engine_make_capacity VARCHAR)
|
If the engine make/capacity is MWM 6.10 TCA-EURO III (Turbo Intercooler) and GVM (kg) Technical Capacity is 23000, what is the Torque Nm@rpm?
|
SELECT torque_nm AS @rpm FROM table_11497980_1 WHERE gcm__kg__technical_capacity = "23000" AND engine_make_capacity = "MWM 6.10 TCA-EURO III (Turbo Intercooler)"
|
SELECT "torque_nm" AS $rpm FROM "table_11497980_1" WHERE "23000" = "gcm__kg__technical_capacity" AND "MWM 6.10 TCA-EURO III (Turbo Intercooler)" = "engine_make_capacity"
| 0.165039 |
CREATE TABLE table_61923 ("Official Name" TEXT, "Status" TEXT, "Area km 2" FLOAT, "Population" FLOAT, "Census Ranking" TEXT)
|
What census ranking has an area greater than 578.28 km2?
|
SELECT "Census Ranking" FROM table_61923 WHERE "Area km 2" > '578.28'
|
SELECT "Census Ranking" FROM "table_61923" WHERE "Area km 2" > '578.28'
| 0.069336 |
CREATE TABLE table_54661 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
What home team plays at victoria park?
|
SELECT "Home team" FROM table_54661 WHERE "Venue" = 'victoria park'
|
SELECT "Home team" FROM "table_54661" WHERE "Venue" = 'victoria park'
| 0.067383 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
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)
|
How many patients of jewish religion are under 30 years of age?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.religion = "JEWISH" AND demographic.age < "30"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "30" > "demographic"."age" AND "JEWISH" = "demographic"."religion"
| 0.137695 |
CREATE TABLE table_44762 ("Name" TEXT, "WSU Year ( s ) " TEXT, "Position" TEXT, "Team" TEXT, "Pro Year ( s ) " TEXT)
|
What is Position, when Team is Cincinnati Royals?
|
SELECT "Position" FROM table_44762 WHERE "Team" = 'cincinnati royals'
|
SELECT "Position" FROM "table_44762" WHERE "Team" = 'cincinnati royals'
| 0.069336 |
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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE 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 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 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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_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 admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
|
what was the name of the procedure that was given two or more times to patient 58730?
|
SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, COUNT(procedures_icd.charttime) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 58730) GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 >= 2)
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 58730 GROUP BY "hadm_id"), "t1" AS (SELECT "procedures_icd"."icd9_code", COUNT("procedures_icd"."charttime") AS "c1" FROM "procedures_icd" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "procedures_icd"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "procedures_icd"."icd9_code"), "_u_1" AS (SELECT "t1"."icd9_code" FROM "t1" AS "t1" WHERE "t1"."c1" >= 2 GROUP BY "icd9_code") SELECT "d_icd_procedures"."short_title" FROM "d_icd_procedures" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "d_icd_procedures"."icd9_code" WHERE NOT "_u_1"."" IS NULL
| 0.619141 |
CREATE TABLE Payments (Payment_ID INT, Settlement_ID INT, Payment_Method_Code VARCHAR, Date_Payment_Made DATE, Amount_Payment INT)
CREATE TABLE Customers (Customer_ID INT, Customer_Details VARCHAR)
CREATE TABLE Customer_Policies (Policy_ID INT, Customer_ID INT, Policy_Type_Code CHAR, Start_Date DATE, End_Date DATE)
CREATE TABLE Claims (Claim_ID INT, Policy_ID INT, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed INT, Amount_Settled INT)
CREATE TABLE Settlements (Settlement_ID INT, Claim_ID INT, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed INT, Amount_Settled INT, Customer_Policy_ID INT)
|
Please use a bar chart to show the average amount of payment by each payment method code, and could you display by the bar in descending?
|
SELECT Payment_Method_Code, AVG(Amount_Payment) FROM Payments GROUP BY Payment_Method_Code ORDER BY Payment_Method_Code DESC
|
SELECT "Payment_Method_Code", AVG("Amount_Payment") FROM "Payments" GROUP BY "Payment_Method_Code" ORDER BY "Payment_Method_Code" DESC NULLS LAST
| 0.141602 |
CREATE TABLE FlagTypes (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 PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount 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 PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
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 Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE 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 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)
|
Short comment with thanks askdiff.
|
SELECT 'https://apple.stackexchange.com/questions/' + CAST(PostId AS TEXT), Text, Score, Comments.CreationDate, Users.DisplayName, Users.Reputation FROM Comments INNER JOIN Users ON Comments.UserId = Users.Id WHERE LENGTH(Text) < 20 AND (Text LIKE '%thanks%' OR Text LIKE '%welcome%' OR Text LIKE '%works%') ORDER BY CreationDate DESC
|
SELECT CONCAT('https://apple.stackexchange.com/questions/', CAST("PostId" AS TEXT)), "Text", "Score", "Comments"."CreationDate", "Users"."DisplayName", "Users"."Reputation" FROM "Comments" JOIN "Users" ON "Comments"."UserId" = "Users"."Id" WHERE ("Text" LIKE '%thanks%' OR "Text" LIKE '%welcome%' OR "Text" LIKE '%works%') AND LENGTH("Text") < 20 ORDER BY "CreationDate" DESC NULLS LAST
| 0.376953 |
CREATE TABLE table_name_98 (ekstraklasa INT, total INT)
|
How much Ekstraklasa has a Total smaller than 3?
|
SELECT SUM(ekstraklasa) FROM table_name_98 WHERE total < 3
|
SELECT SUM("ekstraklasa") FROM "table_name_98" WHERE "total" < 3
| 0.0625 |
CREATE TABLE Customer_Events (Customer_Event_ID INT, customer_id INT, date_moved_in DATETIME, property_id INT, resident_id INT, thing_id INT)
CREATE TABLE Properties (property_id INT, property_type_code CHAR, property_address VARCHAR, other_details VARCHAR)
CREATE TABLE Residents (resident_id INT, property_id INT, date_moved_in DATETIME, date_moved_out DATETIME, other_details VARCHAR)
CREATE TABLE Services (service_id INT, organization_id INT, service_type_code CHAR, service_details VARCHAR)
CREATE TABLE Things (thing_id INT, organization_id INT, Type_of_Thing_Code CHAR, service_type_code CHAR, service_details VARCHAR)
CREATE TABLE Residents_Services (resident_id INT, service_id INT, date_moved_in DATETIME, property_id INT, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR)
CREATE TABLE Customer_Event_Notes (Customer_Event_Note_ID INT, Customer_Event_ID INT, service_type_code CHAR, resident_id INT, property_id INT, date_moved_in DATETIME)
CREATE TABLE Organizations (organization_id INT, parent_organization_id INT, organization_details VARCHAR)
CREATE TABLE Timed_Status_of_Things (thing_id INT, Date_and_Date DATETIME, Status_of_Thing_Code CHAR)
CREATE TABLE Customers (customer_id INT, customer_details VARCHAR)
CREATE TABLE Timed_Locations_of_Things (thing_id INT, Date_and_Time DATETIME, Location_Code CHAR)
|
Give me a bar chart for the number of date moved in of each date moved in, and list y axis from high to low order.
|
SELECT date_moved_in, COUNT(date_moved_in) FROM Residents ORDER BY COUNT(date_moved_in) DESC
|
SELECT "date_moved_in", COUNT("date_moved_in") FROM "Residents" ORDER BY COUNT("date_moved_in") DESC NULLS LAST
| 0.108398 |
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
|
What will be the prerequisites that will be useful for understanding AT 403 ?
|
SELECT DISTINCT advisory_requirement FROM course WHERE department = 'AT' AND number = 403
|
SELECT DISTINCT "advisory_requirement" FROM "course" WHERE "department" = 'AT' AND "number" = 403
| 0.094727 |
CREATE TABLE table_203_173 (id DECIMAL, "year ( s ) " TEXT, "serial name" TEXT, "role" TEXT, "co-star" TEXT, "note ( s ) " TEXT, "channel" TEXT)
|
which show ran the longest ?
|
SELECT "serial name" FROM table_203_173 ORDER BY "year(s)" - "year(s)" DESC LIMIT 1
|
SELECT "serial name" FROM "table_203_173" ORDER BY "year(s)" - "year(s)" DESC NULLS LAST LIMIT 1
| 0.09375 |
CREATE TABLE table_name_6 (name VARCHAR, a_league VARCHAR)
|
Which player has an A-League of 113 (0)?
|
SELECT name FROM table_name_6 WHERE a_league = "113 (0)"
|
SELECT "name" FROM "table_name_6" WHERE "113 (0)" = "a_league"
| 0.060547 |
CREATE TABLE table_31840 ("Week" TEXT, "Date" TEXT, "Opponent" TEXT, "Time" TEXT, "Game Site" TEXT, "Result/Score" TEXT, "Record" TEXT)
|
Tell me the week for record of 0-1
|
SELECT "Week" FROM table_31840 WHERE "Record" = '0-1'
|
SELECT "Week" FROM "table_31840" WHERE "Record" = '0-1'
| 0.053711 |
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseReasonTypes (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 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 SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId 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 PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE 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 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 ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
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 SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
|
People asked with angular tags from PZN/WRO.
|
SELECT * FROM Users WHERE Id IN (SELECT OwnerUserId FROM Posts WHERE Id IN (SELECT PostId FROM PostTags WHERE TagId IN (SELECT Id FROM Tags WHERE TagName LIKE 'angular%'))) AND (Location LIKE '%Pozna%' OR Location LIKE '%Wroclaw%' OR Location LIKE '%Wroc aw%')
|
SELECT * FROM "Users" WHERE "Id" IN (SELECT "OwnerUserId" FROM "Posts" WHERE "Id" IN (SELECT "PostId" FROM "PostTags" WHERE "TagId" IN (SELECT "Id" FROM "Tags" WHERE "TagName" LIKE 'angular%'))) AND ("Location" LIKE '%Pozna%' OR "Location" LIKE '%Wroc aw%' OR "Location" LIKE '%Wroclaw%')
| 0.28125 |
CREATE TABLE actor (Actor_ID INT, Name TEXT, Musical_ID INT, Character TEXT, Duration TEXT, age INT)
CREATE TABLE musical (Musical_ID INT, Name TEXT, Year INT, Award TEXT, Category TEXT, Nominee TEXT, Result TEXT)
|
Bar chart x axis duration y axis how many duration
|
SELECT Duration, COUNT(Duration) FROM actor GROUP BY Duration
|
SELECT "Duration", COUNT("Duration") FROM "actor" GROUP BY "Duration"
| 0.067383 |
CREATE TABLE table_26614365_1 (western VARCHAR, latin VARCHAR)
|
What is the western word for 'latrones' in Latin?
|
SELECT western FROM table_26614365_1 WHERE latin = "latrones"
|
SELECT "western" FROM "table_26614365_1" WHERE "latin" = "latrones"
| 0.06543 |
CREATE TABLE table_15598 ("1910s" FLOAT, "1920s" FLOAT, "1930s" FLOAT, "1940s" FLOAT, "1950s" FLOAT, "1960s" FLOAT, "1970s" FLOAT, "1980s" FLOAT, "1990s" FLOAT, "2000s" FLOAT)
|
what is the lowest year in the 1910s that would be in the row were the 1950s are no larger than 1952, and the 1980s are no smaller than 1981?
|
SELECT MIN("1910s") FROM table_15598 WHERE "1950s" < '1952' AND "1980s" > '1981'
|
SELECT MIN("1910s") FROM "table_15598" WHERE "1950s" < '1952' AND "1980s" > '1981'
| 0.080078 |
CREATE TABLE store_product (store_id DECIMAL, product_id DECIMAL)
CREATE TABLE store (store_id DECIMAL, store_name TEXT, type TEXT, area_size DECIMAL, number_of_product_category DECIMAL, ranking DECIMAL)
CREATE TABLE district (district_id DECIMAL, district_name TEXT, headquartered_city TEXT, city_population DECIMAL, city_area DECIMAL)
CREATE TABLE store_district (store_id DECIMAL, district_id DECIMAL)
CREATE TABLE product (product_id DECIMAL, product TEXT, dimensions TEXT, dpi DECIMAL, pages_per_minute_color DECIMAL, max_page_size TEXT, interface TEXT)
|
What are the district names and city populations for all districts that between 200,000 and 2,000,000 residents?
|
SELECT district_name, city_population FROM district WHERE city_population BETWEEN 200000 AND 2000000
|
SELECT "district_name", "city_population" FROM "district" WHERE "city_population" <= 2000000 AND "city_population" >= 200000
| 0.121094 |
CREATE TABLE table_36379 ("Game" FLOAT, "March" FLOAT, "Opponent" TEXT, "Score" TEXT, "Record" TEXT, "Points" FLOAT)
|
Which Game has a March smaller than 12, and a Score of 10 1?
|
SELECT MIN("Game") FROM table_36379 WHERE "March" < '12' AND "Score" = '10–1'
|
SELECT MIN("Game") FROM "table_36379" WHERE "March" < '12' AND "Score" = '10–1'
| 0.077148 |
CREATE TABLE table_12097 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT)
|
What is the place of player john cook?
|
SELECT "Place" FROM table_12097 WHERE "Player" = 'john cook'
|
SELECT "Place" FROM "table_12097" WHERE "Player" = 'john cook'
| 0.060547 |
CREATE TABLE table_39065 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Game site" TEXT, "Record" TEXT, "Attendance" TEXT)
|
Who was the opponent with attendance at 64,002?
|
SELECT "Opponent" FROM table_39065 WHERE "Attendance" = '64,002'
|
SELECT "Opponent" FROM "table_39065" WHERE "Attendance" = '64,002'
| 0.064453 |
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange 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 PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount 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 Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE 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 ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE 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 PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
|
Count of questions with Firebase tag over time.
|
SELECT DATE(0, 'CAST((JULIANDAY(CreationDate) - JULIANDAY(0)) AS INTEGER) ##AI##') AS "##ai##", COUNT(DISTINCT Posts.Id) AS Count FROM Posts INNER JOIN PostTags ON PostTags.PostId = Posts.Id INNER JOIN Tags ON PostTags.TagId = Tags.Id WHERE (Tags.TagName LIKE 'firebase%') AND PostTypeId = 1 AND CreationDate > '2012-01-01' GROUP BY DATE(0, 'CAST((JULIANDAY(CreationDate) - JULIANDAY(0)) AS INTEGER) ##AI##') ORDER BY '##ai##' DESC
|
SELECT DATE(0, 'CAST((JULIANDAY(CreationDate) - JULIANDAY(0)) AS INTEGER) ##AI##') AS "##ai##", COUNT(DISTINCT "Posts"."Id") AS "Count" FROM "Posts" JOIN "PostTags" ON "PostTags"."PostId" = "Posts"."Id" JOIN "Tags" ON "PostTags"."TagId" = "Tags"."Id" AND "Tags"."TagName" LIKE 'firebase%' WHERE "CreationDate" > '2012-01-01' AND "PostTypeId" = 1 GROUP BY DATE(0, 'CAST((JULIANDAY(CreationDate) - JULIANDAY(0)) AS INTEGER) ##AI##') ORDER BY '##ai##' DESC NULLS LAST
| 0.453125 |
CREATE TABLE table_204_204 (id DECIMAL, "rank" DECIMAL, "heat" DECIMAL, "country" TEXT, "cyclists" TEXT, "result" DECIMAL, "notes" TEXT)
|
how many cyclists finished in under 44 seconds ?
|
SELECT COUNT("cyclists") FROM table_204_204 WHERE "result" < 44
|
SELECT COUNT("cyclists") FROM "table_204_204" WHERE "result" < 44
| 0.063477 |
CREATE TABLE table_68031 ("Year" FLOAT, "Entrant" TEXT, "Chassis" TEXT, "Engine" TEXT, "Points" FLOAT)
|
What is the average Year with Chassis equalling cooper t60?
|
SELECT AVG("Year") FROM table_68031 WHERE "Chassis" = 'cooper t60'
|
SELECT AVG("Year") FROM "table_68031" WHERE "Chassis" = 'cooper t60'
| 0.066406 |
CREATE TABLE CLASS (CLASS_CODE VARCHAR, CRS_CODE VARCHAR, CLASS_SECTION VARCHAR, CLASS_TIME VARCHAR, CLASS_ROOM VARCHAR, PROF_NUM INT)
CREATE TABLE PROFESSOR (EMP_NUM INT, DEPT_CODE VARCHAR, PROF_OFFICE VARCHAR, PROF_EXTENSION VARCHAR, PROF_HIGH_DEGREE VARCHAR)
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 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)
CREATE TABLE COURSE (CRS_CODE VARCHAR, DEPT_CODE VARCHAR, CRS_DESCRIPTION VARCHAR, CRS_CREDIT FLOAT)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR, STU_NUM INT, ENROLL_GRADE VARCHAR)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR, DEPT_NAME VARCHAR, SCHOOL_CODE VARCHAR, EMP_NUM INT, DEPT_ADDRESS VARCHAR, DEPT_EXTENSION VARCHAR)
|
How many courses each teacher taught? Show me a bar chart grouping by course code, and list bar in descending order.
|
SELECT CRS_CODE, COUNT(CRS_CODE) FROM CLASS AS T1 JOIN EMPLOYEE AS T2 ON T1.PROF_NUM = T2.EMP_NUM GROUP BY CRS_CODE ORDER BY CRS_CODE DESC
|
SELECT "CRS_CODE", COUNT("CRS_CODE") FROM "CLASS" AS "T1" JOIN "EMPLOYEE" AS "T2" ON "T1"."PROF_NUM" = "T2"."EMP_NUM" GROUP BY "CRS_CODE" ORDER BY "CRS_CODE" DESC NULLS LAST
| 0.168945 |
CREATE TABLE table_name_10 (Id VARCHAR)
|
What's the 2010 when they had a Q2 in 2009?
|
SELECT 2010 FROM table_name_10 WHERE 2009 = "q2"
|
SELECT 2010 FROM "table_name_10" WHERE "q2" = 2009
| 0.048828 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
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 admission year is less than 2200 and drug route is pr?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admityear < "2200" AND prescriptions.route = "PR"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "PR" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "2200" > "demographic"."admityear"
| 0.214844 |
CREATE TABLE table_16859 ("Player" TEXT, "No." FLOAT, "Nationality" TEXT, "Position" TEXT, "Years for Jazz" TEXT, "School/Club Team" TEXT)
|
How many schools did darryl dawkins play for
|
SELECT COUNT("School/Club Team") FROM table_16859 WHERE "Player" = 'Darryl Dawkins'
|
SELECT COUNT("School/Club Team") FROM "table_16859" WHERE "Player" = 'Darryl Dawkins'
| 0.083008 |
CREATE TABLE table_203_237 (id DECIMAL, "n" DECIMAL, "p" TEXT, "nat." TEXT, "name" TEXT, "age" DECIMAL, "moving from" TEXT, "type" TEXT, "transfer\ window" TEXT, "ends" DECIMAL, "transfer\ fee" TEXT)
|
what player had the most transfer fee ?
|
SELECT "name" FROM table_203_237 ORDER BY "transfer\nfee" DESC LIMIT 1
|
SELECT "name" FROM "table_203_237" ORDER BY "transfer\nfee" DESC NULLS LAST LIMIT 1
| 0.081055 |
CREATE TABLE table_name_66 (bronze INT, gold VARCHAR, rank VARCHAR)
|
How many bronzes for nations with over 22 golds and ranked under 2?
|
SELECT MAX(bronze) FROM table_name_66 WHERE gold > 22 AND rank < 2
|
SELECT MAX("bronze") FROM "table_name_66" WHERE "gold" > 22 AND "rank" < 2
| 0.072266 |
CREATE TABLE table_40068 ("Stake" TEXT, "Organized" TEXT, "Wards/ Branches in Arkansas" FLOAT, "Stake President" TEXT, "Occupation" TEXT)
|
What is the organized date of the stake with an occupation of senior buyer for Wal-mart?
|
SELECT "Organized" FROM table_40068 WHERE "Occupation" = 'senior buyer for wal-mart'
|
SELECT "Organized" FROM "table_40068" WHERE "Occupation" = 'senior buyer for wal-mart'
| 0.083984 |
CREATE TABLE table_48684 ("Outcome" TEXT, "Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Opponent" TEXT, "Score" TEXT)
|
What is the Outcome of the game with a Score of 6 4, 6 4?
|
SELECT "Outcome" FROM table_48684 WHERE "Score" = '6–4, 6–4'
|
SELECT "Outcome" FROM "table_48684" WHERE "Score" = '6–4, 6–4'
| 0.060547 |
CREATE TABLE table_21656 ("Game" FLOAT, "Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Location" TEXT, "Attendance" FLOAT, "Record" TEXT, "Points" FLOAT)
|
What was the attendance when the opposing team was the Ottawa Senators and the record was 24-35-17?
|
SELECT MAX("Attendance") FROM table_21656 WHERE "Opponent" = 'Ottawa Senators' AND "Record" = '24-35-17'
|
SELECT MAX("Attendance") FROM "table_21656" WHERE "Opponent" = 'Ottawa Senators' AND "Record" = '24-35-17'
| 0.103516 |
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)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
|
how many patients are diagnosed with toxic encephalopathy and have im route of drug administration?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Toxic encephalopathy" AND prescriptions.route = "IM"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Toxic encephalopathy" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "IM" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id"
| 0.294922 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
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)
|
what is the total number of patients on medicaid insurance who had icd9 code 5459
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Medicaid" AND procedures.icd9_code = "5459"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "5459" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Medicaid" = "demographic"."insurance"
| 0.21582 |
CREATE TABLE table_2267857_1 (date VARCHAR, year VARCHAR)
|
Name the date for 2006
|
SELECT date FROM table_2267857_1 WHERE year = 2006
|
SELECT "date" FROM "table_2267857_1" WHERE "year" = 2006
| 0.054688 |
CREATE TABLE table_80147 ("Riding" TEXT, "Candidate's Name" TEXT, "Gender" TEXT, "Residence" TEXT, "Occupation" TEXT, "Votes" FLOAT, "Rank" TEXT)
|
What is the highest number of votes for the French Professor?
|
SELECT MAX("Votes") FROM table_80147 WHERE "Occupation" = 'french professor'
|
SELECT MAX("Votes") FROM "table_80147" WHERE "Occupation" = 'french professor'
| 0.076172 |
CREATE TABLE table_name_20 (points VARCHAR, year VARCHAR, chassis VARCHAR)
|
How many points are there for a Mclaren m23 chassis later than 1972?
|
SELECT COUNT(points) FROM table_name_20 WHERE year > 1972 AND chassis = "mclaren m23"
|
SELECT COUNT("points") FROM "table_name_20" WHERE "chassis" = "mclaren m23" AND "year" > 1972
| 0.09082 |
CREATE TABLE table_18609 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Result" TEXT, "Candidates" TEXT)
|
What is the candidate for south carolina 4?
|
SELECT "Candidates" FROM table_18609 WHERE "District" = 'South Carolina 4'
|
SELECT "Candidates" FROM "table_18609" WHERE "District" = 'South Carolina 4'
| 0.074219 |
CREATE TABLE market (market_id DECIMAL, district TEXT, num_of_employees DECIMAL, num_of_shops DECIMAL, ranking DECIMAL)
CREATE TABLE phone_market (market_id DECIMAL, phone_id TEXT, num_of_stock DECIMAL)
CREATE TABLE phone (name TEXT, phone_id DECIMAL, memory_in_g DECIMAL, carrier TEXT, price DECIMAL)
|
Show the most frequently used carrier of the phones.
|
SELECT carrier FROM phone GROUP BY carrier ORDER BY COUNT(*) DESC LIMIT 1
|
SELECT "carrier" FROM "phone" GROUP BY "carrier" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1
| 0.087891 |
CREATE TABLE table_31547 ("Pick" TEXT, "Player" TEXT, "Position" TEXT, "Nationality" TEXT, "NHL team" TEXT, "College/junior/club team" TEXT)
|
Tell me the college for jason holland
|
SELECT "College/junior/club team" FROM table_31547 WHERE "Player" = 'jason holland'
|
SELECT "College/junior/club team" FROM "table_31547" WHERE "Player" = 'jason holland'
| 0.083008 |
CREATE TABLE table_42389 ("Rank" TEXT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
|
What is the sum of all silver medals with less than 23 medals in total and more than 3 bronze medals for the United States?
|
SELECT SUM("Silver") FROM table_42389 WHERE "Total" < '23' AND "Nation" = 'united states' AND "Bronze" > '3'
|
SELECT SUM("Silver") FROM "table_42389" WHERE "Bronze" > '3' AND "Nation" = 'united states' AND "Total" < '23'
| 0.107422 |
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)
|
Give me the comparison about School_ID over the ACC_Road , and group by attribute ACC_Home by a bar chart, could you list in ascending by the y axis please?
|
SELECT ACC_Road, School_ID FROM basketball_match GROUP BY ACC_Home, ACC_Road ORDER BY School_ID
|
SELECT "ACC_Road", "School_ID" FROM "basketball_match" GROUP BY "ACC_Home", "ACC_Road" ORDER BY "School_ID" NULLS FIRST
| 0.116211 |
CREATE TABLE table_69018 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Decision" TEXT, "Attendance" FLOAT, "Record" TEXT)
|
What is the date when Joseph is the decision and San Jose is the home team?
|
SELECT "Date" FROM table_69018 WHERE "Decision" = 'joseph' AND "Home" = 'san jose'
|
SELECT "Date" FROM "table_69018" WHERE "Decision" = 'joseph' AND "Home" = 'san jose'
| 0.082031 |
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime 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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
|
what is patient 033-22108's monthly average level of ionized calcium this year?
|
SELECT AVG(lab.labresult) FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '033-22108')) AND lab.labname = 'ionized calcium' AND DATETIME(lab.labresulttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY STRFTIME('%y-%m', lab.labresulttime)
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '033-22108' 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 AVG("lab"."labresult") FROM "lab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'ionized calcium' AND DATETIME("lab"."labresulttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_1"."" IS NULL GROUP BY STRFTIME('%y-%m', "lab"."labresulttime")
| 0.675781 |
CREATE TABLE table_56667 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
Where is the home venue of carlton that had a crowd bigger than 12,000?
|
SELECT "Venue" FROM table_56667 WHERE "Crowd" > '12,000' AND "Home team" = 'carlton'
|
SELECT "Venue" FROM "table_56667" WHERE "Crowd" > '12,000' AND "Home team" = 'carlton'
| 0.083984 |
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 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 procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
how many patients whose discharge location is disch-tran to psych hosp?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "DISCH-TRAN TO PSYCH HOSP"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "DISCH-TRAN TO PSYCH HOSP" = "demographic"."discharge_location"
| 0.134766 |
CREATE TABLE table_28283 ("Year" FLOAT, "Population" FLOAT, "Total" FLOAT, "Violent" FLOAT, "Property Crimes" FLOAT, "Forcible rape" FLOAT, "Robbery" FLOAT, "Aggravated assault" FLOAT, "Burglary" FLOAT, "Larceny Theft" FLOAT, "Vehicle Theft" FLOAT)
|
What was the maximum burglary statistics if the property crimes is 168630?
|
SELECT MAX("Burglary") FROM table_28283 WHERE "Property Crimes" = '168630'
|
SELECT MAX("Burglary") FROM "table_28283" WHERE "Property Crimes" = '168630'
| 0.074219 |
CREATE TABLE table_37697 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Attendance" FLOAT, "Record" TEXT)
|
What was the score during the game that had more than 12,194 people in attendance and a record of 53-32?
|
SELECT "Score" FROM table_37697 WHERE "Attendance" > '12,194' AND "Record" = '53-32'
|
SELECT "Score" FROM "table_37697" WHERE "Attendance" > '12,194' AND "Record" = '53-32'
| 0.083984 |
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