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CREATE TABLE table_name_65 (founded VARCHAR, school VARCHAR)
|
What is the year Airds High School was founded?
|
SELECT founded FROM table_name_65 WHERE school = "airds high school"
|
SELECT "founded" FROM "table_name_65" WHERE "airds high school" = "school"
| 0.072266 |
CREATE TABLE table_21269441_4 (tournament_venue__city_ VARCHAR, regular_season_winner VARCHAR)
|
Where was the tourney when Weber State won the regular season?
|
SELECT tournament_venue__city_ FROM table_21269441_4 WHERE regular_season_winner = "Weber State"
|
SELECT "tournament_venue__city_" FROM "table_21269441_4" WHERE "Weber State" = "regular_season_winner"
| 0.099609 |
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note 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 month (month_number INT, month_name TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE flight (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 (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 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 state (state_code TEXT, state_name TEXT, country_name TEXT)
|
what are the nonstop flights from CINCINNATI to CHARLOTTE leaving after 1200 and arriving before 1900
|
SELECT DISTINCT flight_id FROM flight WHERE ((((arrival_time < 1900 AND departure_time > 1200) AND to_airport IN (SELECT AIRPORT_SERVICEalias1.airport_code FROM airport_service AS AIRPORT_SERVICEalias1 WHERE AIRPORT_SERVICEalias1.city_code IN (SELECT CITYalias1.city_code FROM city AS CITYalias1 WHERE CITYalias1.city_name = 'CHARLOTTE'))) AND from_airport IN (SELECT AIRPORT_SERVICEalias0.airport_code FROM airport_service AS AIRPORT_SERVICEalias0 WHERE AIRPORT_SERVICEalias0.city_code IN (SELECT CITYalias0.city_code FROM city AS CITYalias0 WHERE CITYalias0.city_name = 'CINCINNATI'))) AND stops = 0)
|
WITH "_u_0" AS (SELECT "CITYalias1"."city_code" FROM "city" AS "CITYalias1" WHERE "CITYalias1"."city_name" = 'CHARLOTTE' GROUP BY "city_code"), "_u_1" AS (SELECT "AIRPORT_SERVICEalias1"."airport_code" FROM "airport_service" AS "AIRPORT_SERVICEalias1" LEFT JOIN "_u_0" AS "_u_0" ON "AIRPORT_SERVICEalias1"."city_code" = "_u_0"."" WHERE NOT "_u_0"."" IS NULL GROUP BY "airport_code"), "_u_2" AS (SELECT "CITYalias0"."city_code" FROM "city" AS "CITYalias0" WHERE "CITYalias0"."city_name" = 'CINCINNATI' GROUP BY "city_code"), "_u_3" AS (SELECT "AIRPORT_SERVICEalias0"."airport_code" FROM "airport_service" AS "AIRPORT_SERVICEalias0" LEFT JOIN "_u_2" AS "_u_2" ON "AIRPORT_SERVICEalias0"."city_code" = "_u_2"."" WHERE NOT "_u_2"."" IS NULL GROUP BY "airport_code") SELECT DISTINCT "flight_id" FROM "flight" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "to_airport" LEFT JOIN "_u_3" AS "_u_3" ON "_u_3"."" = "from_airport" WHERE "arrival_time" < 1900 AND "departure_time" > 1200 AND "stops" = 0 AND NOT "_u_1"."" IS NULL AND NOT "_u_3"."" IS NULL
| 1.013672 |
CREATE TABLE railway (railway_id DECIMAL, railway TEXT, builder TEXT, built TEXT, wheels TEXT, location TEXT, objectnumber TEXT)
CREATE TABLE manager (manager_id DECIMAL, name TEXT, country TEXT, working_year_starts TEXT, age DECIMAL, level DECIMAL)
CREATE TABLE train (train_id DECIMAL, train_num TEXT, name TEXT, from TEXT, arrival TEXT, railway_id DECIMAL)
CREATE TABLE railway_manage (railway_id DECIMAL, manager_id DECIMAL, from_year TEXT)
|
Show the locations that have more than one railways.
|
SELECT location FROM railway GROUP BY location HAVING COUNT(*) > 1
|
SELECT "location" FROM "railway" GROUP BY "location" HAVING COUNT(*) > 1
| 0.070313 |
CREATE TABLE table_59127 ("Week 1" TEXT, "Week 2" TEXT, "Week 3" TEXT, "Week 4" TEXT, "Week 5" TEXT)
|
What kind of Week 4 has a Week 2 of tiffany logan?
|
SELECT "Week 4" FROM table_59127 WHERE "Week 2" = 'tiffany logan'
|
SELECT "Week 4" FROM "table_59127" WHERE "Week 2" = 'tiffany logan'
| 0.06543 |
CREATE TABLE table_name_14 (award VARCHAR, recipient VARCHAR)
|
What award did Charlie Productions Ltd receive?
|
SELECT award FROM table_name_14 WHERE recipient = "charlie productions ltd"
|
SELECT "award" FROM "table_name_14" WHERE "charlie productions ltd" = "recipient"
| 0.079102 |
CREATE TABLE table_61385 ("Rank" FLOAT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
|
How many golds does Germany have with more than 1 silver?
|
SELECT SUM("Gold") FROM table_61385 WHERE "Silver" > '1' AND "Nation" = 'germany'
|
SELECT SUM("Gold") FROM "table_61385" WHERE "Nation" = 'germany' AND "Silver" > '1'
| 0.081055 |
CREATE TABLE table_24762 ("Event" FLOAT, "Round" FLOAT, "Circuit" TEXT, "Date" TEXT, "Pole Position" TEXT, "Fastest Lap" TEXT, "Winning driver" TEXT, "Winning team" TEXT)
|
How many times did Tim Macrow and Joey Foster both got the fastest lap and pole position respectively?
|
SELECT COUNT("Event") FROM table_24762 WHERE "Fastest Lap" = 'Tim Macrow' AND "Pole Position" = 'Joey Foster'
|
SELECT COUNT("Event") FROM "table_24762" WHERE "Fastest Lap" = 'Tim Macrow' AND "Pole Position" = 'Joey Foster'
| 0.108398 |
CREATE TABLE table_name_17 (total INT, to_par INT)
|
Which Total has a To par larger than 12?
|
SELECT MIN(total) FROM table_name_17 WHERE to_par > 12
|
SELECT MIN("total") FROM "table_name_17" WHERE "to_par" > 12
| 0.058594 |
CREATE TABLE table_77218 ("Rank" TEXT, "Name" TEXT, "Location" TEXT, "Length ( m ) " TEXT, "Length ( ft ) " TEXT)
|
Where is the longest arch with a length in meters of 63?
|
SELECT "Location" FROM table_77218 WHERE "Length ( m )" = '63'
|
SELECT "Location" FROM "table_77218" WHERE "Length ( m )" = '63'
| 0.0625 |
CREATE TABLE table_name_4 (date VARCHAR)
|
What is the date where the type is type?
|
SELECT date FROM table_name_4 WHERE "type" = "type"
|
SELECT "date" FROM "table_name_4" WHERE "type" = "type"
| 0.053711 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
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)
|
what is date of birth of subject name kurt buczek?
|
SELECT demographic.dob FROM demographic WHERE demographic.name = "Kurt Buczek"
|
SELECT "demographic"."dob" FROM "demographic" WHERE "Kurt Buczek" = "demographic"."name"
| 0.085938 |
CREATE TABLE table_name_79 (competition VARCHAR, draws VARCHAR)
|
Which competition had 2 draws?
|
SELECT competition FROM table_name_79 WHERE draws = 2
|
SELECT "competition" FROM "table_name_79" WHERE "draws" = 2
| 0.057617 |
CREATE TABLE reviewer (rid DECIMAL, name TEXT)
CREATE TABLE movie (mid DECIMAL, title TEXT, year DECIMAL, director TEXT)
CREATE TABLE rating (rid DECIMAL, mid DECIMAL, stars DECIMAL, ratingdate TIME)
|
For the oldest movie listed, what is its average rating and title?
|
SELECT AVG(T1.stars), T2.title FROM rating AS T1 JOIN movie AS T2 ON T1.mid = T2.mid WHERE T2.year = (SELECT MIN(year) FROM movie)
|
SELECT AVG("T1"."stars"), "T2"."title" FROM "rating" AS "T1" JOIN "movie" AS "T2" ON "T1"."mid" = "T2"."mid" AND "T2"."year" = (SELECT MIN("year") FROM "movie")
| 0.15625 |
CREATE TABLE driver (Driver_ID INT, Name TEXT, Party TEXT, Home_city TEXT, Age INT)
CREATE TABLE school (School_ID INT, Grade TEXT, School TEXT, Location TEXT, Type TEXT)
CREATE TABLE school_bus (School_ID INT, Driver_ID INT, Years_Working INT, If_full_time BOOLEAN)
|
Plot the average of age by grouped by home city as a bar graph, could you sort by the bar from high to low?
|
SELECT Home_city, AVG(Age) FROM driver GROUP BY Home_city ORDER BY Home_city DESC
|
SELECT "Home_city", AVG("Age") FROM "driver" GROUP BY "Home_city" ORDER BY "Home_city" DESC NULLS LAST
| 0.099609 |
CREATE TABLE table_204_397 (id DECIMAL, "rank" TEXT, "team" TEXT, "athletes" TEXT, "run 1" TEXT, "run 2" TEXT, "run 3" TEXT, "run 4" TEXT, "final" TEXT)
|
what team comes after italy -lrb- ita -rrb- italy i ?
|
SELECT "team" FROM table_204_397 WHERE id = (SELECT id FROM table_204_397 WHERE "team" = 'italy (ita) italy i') + 1
|
SELECT "team" FROM "table_204_397" WHERE "id" = (SELECT "id" FROM "table_204_397" WHERE "team" = 'italy (ita) italy i') + 1
| 0.120117 |
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
|
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, a line chart shows the trend of employee_id over hire_date , and rank by the X-axis in ascending.
|
SELECT HIRE_DATE, EMPLOYEE_ID FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY HIRE_DATE
|
SELECT "HIRE_DATE", "EMPLOYEE_ID" FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) ORDER BY "HIRE_DATE" NULLS FIRST
| 0.234375 |
CREATE TABLE table_62712 ("Year" FLOAT, "Class" TEXT, "Team" TEXT, "Machine" TEXT, "Points" FLOAT, "Rank" TEXT, "Wins" FLOAT)
|
How many wins for the year that is later than 1987 and has points less than 188?
|
SELECT "Wins" FROM table_62712 WHERE "Year" > '1987' AND "Points" < '188'
|
SELECT "Wins" FROM "table_62712" WHERE "Points" < '188' AND "Year" > '1987'
| 0.073242 |
CREATE TABLE table_name_80 (league_one_second_division VARCHAR, club VARCHAR)
|
I want the league one/second division for club of millwall
|
SELECT league_one_second_division FROM table_name_80 WHERE club = "millwall"
|
SELECT "league_one_second_division" FROM "table_name_80" WHERE "club" = "millwall"
| 0.080078 |
CREATE TABLE table_name_27 (yards__red_tees_ INT, hole VARCHAR, par__white_tees_ VARCHAR)
|
What is the average number of yards on a red tee that has a hole of 1 and a par above 4?
|
SELECT AVG(yards__red_tees_) FROM table_name_27 WHERE hole = "1" AND par__white_tees_ > 4
|
SELECT AVG("yards__red_tees_") FROM "table_name_27" WHERE "1" = "hole" AND "par__white_tees_" > 4
| 0.094727 |
CREATE TABLE table_11065 ("Name" TEXT, "Club" TEXT, "Date of departure" TEXT, "Replacement" TEXT, "Date of appointment" TEXT)
|
Tell me the club with a replacement of alberto malesani
|
SELECT "Club" FROM table_11065 WHERE "Replacement" = 'alberto malesani'
|
SELECT "Club" FROM "table_11065" WHERE "Replacement" = 'alberto malesani'
| 0.071289 |
CREATE TABLE table_name_59 (tournament VARCHAR, opponents VARCHAR)
|
Which tournament had an opponent of petra krejsov tereza smitkov ?
|
SELECT tournament FROM table_name_59 WHERE opponents = "petra krejsová tereza smitková"
|
SELECT "tournament" FROM "table_name_59" WHERE "opponents" = "petra krejsová tereza smitková"
| 0.09082 |
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE 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 treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE 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 intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
|
what was the top three diagnosis with the highest five year mortality rate?
|
SELECT t4.diagnosisname FROM (SELECT t3.diagnosisname, DENSE_RANK() OVER (ORDER BY t3.c1 DESC) AS c2 FROM (SELECT t2.diagnosisname, 100 - SUM(CASE WHEN patient.hospitaldischargestatus = 'alive' THEN 1 WHEN STRFTIME('%j', patient.hospitaldischargetime) - STRFTIME('%j', t2.diagnosistime) > 5 * 365 THEN 1 ELSE 0 END) * 100 / COUNT(*) AS c1 FROM (SELECT t1.uniquepid, t1.diagnosisname, t1.diagnosistime FROM (SELECT patient.uniquepid, diagnosis.diagnosisname, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid GROUP BY patient.uniquepid, diagnosis.diagnosisname HAVING MIN(diagnosis.diagnosistime) = diagnosis.diagnosistime) AS t1 WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', t1.diagnosistime) > 5 * 365) AS t2 JOIN patient ON t2.uniquepid = patient.uniquepid GROUP BY t2.diagnosisname) AS t3) AS t4 WHERE t4.c2 <= 3
|
WITH "t1" AS (SELECT "patient"."uniquepid", "diagnosis"."diagnosisname", "diagnosis"."diagnosistime" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" GROUP BY "patient"."uniquepid", "diagnosis"."diagnosisname" HAVING "diagnosis"."diagnosistime" = MIN("diagnosis"."diagnosistime")), "t3" AS (SELECT "t1"."diagnosisname", 100 - SUM(CASE WHEN "patient"."hospitaldischargestatus" = 'alive' THEN 1 WHEN STRFTIME('%j', "patient"."hospitaldischargetime") - STRFTIME('%j', "t1"."diagnosistime") > 1825 THEN 1 ELSE 0 END) * 100 / NULLIF(COUNT(*), 0) AS "c1" FROM "t1" AS "t1" JOIN "patient" ON "patient"."uniquepid" = "t1"."uniquepid" WHERE STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "t1"."diagnosistime") > 1825 GROUP BY "t1"."diagnosisname"), "t4" AS (SELECT "t3"."diagnosisname", DENSE_RANK() OVER (ORDER BY "t3"."c1" DESC NULLS LAST) AS "c2" FROM "t3" AS "t3") SELECT "t4"."diagnosisname" FROM "t4" AS "t4" WHERE "t4"."c2" <= 3
| 0.954102 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
what is the number of patients whose death status is 1 and procedure long title is implant of pulsation balloon?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "1" AND procedures.long_title = "Implant of pulsation balloon"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Implant of pulsation balloon" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "1" = "demographic"."expire_flag"
| 0.235352 |
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 diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE 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)
|
how many days has it passed since patient 006-172277 was admitted to the hospital?
|
SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', patient.hospitaladmittime)) FROM patient WHERE patient.uniquepid = '006-172277' AND patient.hospitaldischargetime IS NULL
|
SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "patient"."hospitaladmittime")) FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '006-172277'
| 0.19043 |
CREATE TABLE invoice_items (invoice_item_id DECIMAL, invoice_id DECIMAL, order_id DECIMAL, order_item_id DECIMAL, product_id DECIMAL, order_quantity DECIMAL, other_item_details TEXT)
CREATE TABLE invoices (invoice_id DECIMAL, order_id DECIMAL, payment_method_code TEXT, product_id DECIMAL, order_quantity TEXT, other_item_details TEXT, order_item_id DECIMAL)
CREATE TABLE marketing_regions (marketing_region_code TEXT, marketing_region_name TEXT, marketing_region_descriptrion TEXT, other_details TEXT)
CREATE TABLE performers_in_bookings (order_id DECIMAL, performer_id DECIMAL)
CREATE TABLE stores (store_id TEXT, address_id DECIMAL, marketing_region_code TEXT, store_name TEXT, store_phone TEXT, store_email_address TEXT, other_details TEXT)
CREATE TABLE products (product_id TEXT, product_name TEXT, product_price DECIMAL, product_description TEXT, other_product_service_details TEXT)
CREATE TABLE addresses (address_id TEXT, line_1 TEXT, line_2 TEXT, city_town TEXT, state_county TEXT, other_details TEXT)
CREATE TABLE bookings_services (order_id DECIMAL, product_id DECIMAL)
CREATE TABLE customers (customer_id TEXT, address_id DECIMAL, customer_name TEXT, customer_phone TEXT, customer_email_address TEXT, other_details TEXT)
CREATE TABLE bookings (booking_id DECIMAL, customer_id DECIMAL, workshop_group_id TEXT, status_code TEXT, store_id DECIMAL, order_date TIME, planned_delivery_date TIME, actual_delivery_date TIME, other_order_details TEXT)
CREATE TABLE drama_workshop_groups (workshop_group_id DECIMAL, address_id DECIMAL, currency_code TEXT, marketing_region_code TEXT, store_name TEXT, store_phone TEXT, store_email_address TEXT, other_details TEXT)
CREATE TABLE order_items (order_item_id DECIMAL, order_id DECIMAL, product_id DECIMAL, order_quantity TEXT, other_item_details TEXT)
CREATE TABLE services (service_id DECIMAL, service_type_code TEXT, workshop_group_id DECIMAL, product_description TEXT, product_name TEXT, product_price DECIMAL, other_product_service_details TEXT)
CREATE TABLE ref_payment_methods (payment_method_code TEXT, payment_method_description TEXT)
CREATE TABLE ref_service_types (service_type_code TEXT, parent_service_type_code TEXT, service_type_description TEXT)
CREATE TABLE performers (performer_id DECIMAL, address_id DECIMAL, customer_name TEXT, customer_phone TEXT, customer_email_address TEXT, other_details TEXT)
CREATE TABLE clients (client_id DECIMAL, address_id DECIMAL, customer_email_address TEXT, customer_name TEXT, customer_phone TEXT, other_details TEXT)
CREATE TABLE customer_orders (order_id DECIMAL, customer_id DECIMAL, store_id DECIMAL, order_date TIME, planned_delivery_date TIME, actual_delivery_date TIME, other_order_details TEXT)
|
What are the distinct names of the products that cost more than the average?
|
SELECT DISTINCT product_name FROM products WHERE product_price > (SELECT AVG(product_price) FROM products)
|
SELECT DISTINCT "product_name" FROM "products" WHERE "product_price" > (SELECT AVG("product_price") FROM "products")
| 0.113281 |
CREATE TABLE table_56505 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
Which game at Arden Street Oval had the lowest attendance?
|
SELECT MIN("Crowd") FROM table_56505 WHERE "Venue" = 'arden street oval'
|
SELECT MIN("Crowd") FROM "table_56505" WHERE "Venue" = 'arden street oval'
| 0.072266 |
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 semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
|
Was MUSED 371 ever offered in the Spring ?
|
SELECT COUNT(*) > 0 FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'MUSED' AND course.number = 371 AND semester.semester = 'Spring' AND semester.semester_id = course_offering.semester
|
SELECT COUNT(*) > 0 FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'Spring' WHERE "course"."department" = 'MUSED' AND "course"."number" = 371
| 0.283203 |
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 demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
what is drug type of drug name pantoprazole sodium?
|
SELECT prescriptions.drug_type FROM prescriptions WHERE prescriptions.drug = "Pantoprazole Sodium"
|
SELECT "prescriptions"."drug_type" FROM "prescriptions" WHERE "Pantoprazole Sodium" = "prescriptions"."drug"
| 0.105469 |
CREATE TABLE Maintenance_Engineers (engineer_id INT, company_id INT, first_name VARCHAR, last_name VARCHAR, other_details VARCHAR)
CREATE TABLE Part_Faults (part_fault_id INT, part_id INT, fault_short_name VARCHAR, fault_description VARCHAR, other_fault_details VARCHAR)
CREATE TABLE Staff (staff_id INT, staff_name VARCHAR, gender VARCHAR, other_staff_details VARCHAR)
CREATE TABLE Skills (skill_id INT, skill_code VARCHAR, skill_description VARCHAR)
CREATE TABLE Asset_Parts (asset_id INT, part_id INT)
CREATE TABLE Fault_Log_Parts (fault_log_entry_id INT, part_fault_id INT, fault_status VARCHAR)
CREATE TABLE Maintenance_Contracts (maintenance_contract_id INT, maintenance_contract_company_id INT, contract_start_date DATETIME, contract_end_date DATETIME, other_contract_details VARCHAR)
CREATE TABLE Assets (asset_id INT, maintenance_contract_id INT, supplier_company_id INT, asset_details VARCHAR, asset_make VARCHAR, asset_model VARCHAR, asset_acquired_date DATETIME, asset_disposed_date DATETIME, other_asset_details VARCHAR)
CREATE TABLE Skills_Required_To_Fix (part_fault_id INT, skill_id INT)
CREATE TABLE Parts (part_id INT, part_name VARCHAR, chargeable_yn VARCHAR, chargeable_amount VARCHAR, other_part_details VARCHAR)
CREATE TABLE Fault_Log (fault_log_entry_id INT, asset_id INT, recorded_by_staff_id INT, fault_log_entry_datetime DATETIME, fault_description VARCHAR, other_fault_details VARCHAR)
CREATE TABLE Engineer_Skills (engineer_id INT, skill_id INT)
CREATE TABLE Third_Party_Companies (company_id INT, company_type VARCHAR, company_name VARCHAR, company_address VARCHAR, other_company_details VARCHAR)
CREATE TABLE Engineer_Visits (engineer_visit_id INT, contact_staff_id INT, engineer_id INT, fault_log_entry_id INT, fault_status VARCHAR, visit_start_datetime DATETIME, visit_end_datetime DATETIME, other_visit_details VARCHAR)
|
Give me a histogram for which parts have more than 2 faults? Show the part name and id, and show by the y axis from low to high.
|
SELECT T1.part_name, T1.part_id FROM Parts AS T1 JOIN Part_Faults AS T2 ON T1.part_id = T2.part_id ORDER BY T1.part_id
|
SELECT "T1"."part_name", "T1"."part_id" FROM "Parts" AS "T1" JOIN "Part_Faults" AS "T2" ON "T1"."part_id" = "T2"."part_id" ORDER BY "T1"."part_id" NULLS FIRST
| 0.154297 |
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
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 Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense 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 TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
|
Top 100 unanswered python questions by view count.
|
SELECT Posts.Id, Posts.Title, Posts.CreationDate, Posts.Score, Posts.ViewCount, Posts.FavoriteCount, Posts.AnswerCount, Posts.Body, Posts.Tags FROM Posts WHERE Posts.PostTypeId = 1 AND Posts.Tags LIKE '%python%' AND Posts.CreationDate >= CURRENT_TIMESTAMP() - 7 AND Posts.AcceptedAnswerId IS NULL ORDER BY ViewCount DESC LIMIT 100
|
SELECT "Posts"."Id", "Posts"."Title", "Posts"."CreationDate", "Posts"."Score", "Posts"."ViewCount", "Posts"."FavoriteCount", "Posts"."AnswerCount", "Posts"."Body", "Posts"."Tags" FROM "Posts" WHERE "Posts"."AcceptedAnswerId" IS NULL AND "Posts"."CreationDate" >= CURRENT_TIMESTAMP() - 7 AND "Posts"."PostTypeId" = 1 AND "Posts"."Tags" LIKE '%python%' ORDER BY "ViewCount" DESC NULLS LAST LIMIT 100
| 0.387695 |
CREATE TABLE table_80132 ("Name" TEXT, "Years" TEXT, "Area" TEXT, "Authority" TEXT, "Decile" FLOAT, "Roll" TEXT)
|
What is the lowest decile with a state authority and Midhirst school?
|
SELECT MIN("Decile") FROM table_80132 WHERE "Authority" = 'state' AND "Name" = 'midhirst school'
|
SELECT MIN("Decile") FROM "table_80132" WHERE "Authority" = 'state' AND "Name" = 'midhirst school'
| 0.095703 |
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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_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 admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
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)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE 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)
|
what were the three most frequently prescribed drugs for patients who were previously prescribed with aripiprazole during the same hospital encounter since 4 years ago?
|
SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, prescriptions.startdate, admissions.hadm_id FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'aripiprazole' AND DATETIME(prescriptions.startdate) >= DATETIME(CURRENT_TIME(), '-4 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate, admissions.hadm_id FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE DATETIME(prescriptions.startdate) >= DATETIME(CURRENT_TIME(), '-4 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.startdate < t2.startdate AND t1.hadm_id = t2.hadm_id GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 3
|
WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate", "admissions"."hadm_id" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate") >= DATETIME(CURRENT_TIME(), '-4 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"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "prescriptions"."startdate" < "t2"."startdate" WHERE "prescriptions"."drug" = 'aripiprazole' AND DATETIME("prescriptions"."startdate") >= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" AS "t3" WHERE "t3"."c1" <= 3
| 0.833984 |
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange 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 PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
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 ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId 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 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 Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE 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 PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId 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 PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name 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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
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)
|
Up-to-date content: Average amount of hours between question posed and answered.
|
SELECT Month = DATEADD(MONTH, DATEDIFF(MONTH, 0, CreationDate), 0), 'Up-to-date content' = AVG(DATEDIFF(hour, p1.CreationDate, CreationDate)) FROM Posts AS p INNER JOIN Posts AS p1 ON p.Id = p1.AcceptedAnswerId GROUP BY DATEADD(MONTH, DATEDIFF(MONTH, 0, CreationDate), 0) ORDER BY Month
|
SELECT "Month" = DATEADD(MONTH, DATEDIFF(CREATIONDATE, CAST(0 AS DATETIME), CAST("MONTH" AS DATETIME)), 0), AVG(DATEDIFF(CREATIONDATE, CAST("p1"."CreationDate" AS DATETIME), CAST("hour" AS DATETIME))) = 'Up-to-date content' FROM "Posts" AS "p" JOIN "Posts" AS "p1" ON "p"."Id" = "p1"."AcceptedAnswerId" GROUP BY DATEADD(MONTH, DATEDIFF(CREATIONDATE, CAST(0 AS DATETIME), CAST("MONTH" AS DATETIME)), 0) ORDER BY "Month" NULLS FIRST
| 0.419922 |
CREATE TABLE table_name_64 (green_communist VARCHAR, left_bloc VARCHAR)
|
What is the result for the Green-Communist party when the Left Bloc has 3.6%?
|
SELECT green_communist FROM table_name_64 WHERE left_bloc = "3.6%"
|
SELECT "green_communist" FROM "table_name_64" WHERE "3.6%" = "left_bloc"
| 0.070313 |
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code 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 time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, 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 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 dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
|
does any airline have a JET flight between PITTSBURGH and BALTIMORE
|
SELECT DISTINCT flight.flight_id FROM aircraft, airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, equipment_sequence, flight WHERE (aircraft.propulsion = 'JET' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BALTIMORE' AND equipment_sequence.aircraft_code = aircraft.aircraft_code AND flight.aircraft_code_sequence = equipment_sequence.aircraft_code_sequence AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
|
SELECT DISTINCT "flight"."flight_id" FROM "aircraft" JOIN "equipment_sequence" ON "aircraft"."aircraft_code" = "equipment_sequence"."aircraft_code" JOIN "flight" ON "equipment_sequence"."aircraft_code_sequence" = "flight"."aircraft_code_sequence" 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" = 'PITTSBURGH' JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BALTIMORE' WHERE "aircraft"."propulsion" = 'JET'
| 0.727539 |
CREATE TABLE table_52175 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Date" TEXT)
|
What was the away team when the home team was South Melbourne?
|
SELECT "Away team" FROM table_52175 WHERE "Home team" = 'south melbourne'
|
SELECT "Away team" FROM "table_52175" WHERE "Home team" = 'south melbourne'
| 0.073242 |
CREATE TABLE Documents_with_Expenses (Document_ID INT, Budget_Type_Code CHAR, Document_Details VARCHAR)
CREATE TABLE Statements (Statement_ID INT, Statement_Details VARCHAR)
CREATE TABLE Accounts (Account_ID INT, Statement_ID INT, Account_Details VARCHAR)
CREATE TABLE Documents (Document_ID INT, Document_Type_Code CHAR, Project_ID INT, Document_Date DATETIME, Document_Name VARCHAR, Document_Description VARCHAR, Other_Details VARCHAR)
CREATE TABLE Ref_Budget_Codes (Budget_Type_Code CHAR, Budget_Type_Description VARCHAR)
CREATE TABLE Projects (Project_ID INT, Project_Details VARCHAR)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR, Document_Type_Description VARCHAR)
|
Return a bar chart showing the number of documents for each document type name, show names in asc order please.
|
SELECT Document_Type_Name, COUNT(Document_Type_Name) FROM Ref_Document_Types AS T1 JOIN Documents AS T2 ON T1.Document_Type_Code = T2.Document_Type_Code GROUP BY Document_Type_Name ORDER BY Document_Type_Name
|
SELECT "Document_Type_Name", COUNT("Document_Type_Name") FROM "Ref_Document_Types" AS "T1" JOIN "Documents" AS "T2" ON "T1"."Document_Type_Code" = "T2"."Document_Type_Code" GROUP BY "Document_Type_Name" ORDER BY "Document_Type_Name" NULLS FIRST
| 0.238281 |
CREATE TABLE table_17711 ("No." FLOAT, "Player" TEXT, "Club" TEXT, "Games Played" FLOAT, "Minutes" FLOAT, "Goals Against" FLOAT, "GA Average" TEXT, "Wins" FLOAT, "Loses" FLOAT)
|
What is the highest value under the column goals against?
|
SELECT MAX("Goals Against") FROM table_17711
|
SELECT MAX("Goals Against") FROM "table_17711"
| 0.044922 |
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime 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 cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
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 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 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)
|
tell me the top three drugs that are most commonly prescribed to patients in the 30s in 2103?
|
SELECT t1.drugname FROM (SELECT medication.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age BETWEEN 30 AND 39) AND STRFTIME('%y', medication.drugstarttime) = '2103' GROUP BY medication.drugname) AS t1 WHERE t1.c1 <= 3
|
WITH "_u_0" AS (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."age" <= 39 AND "patient"."age" >= 30 GROUP BY "patientunitstayid"), "t1" AS (SELECT "medication"."drugname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "medication" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "medication"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y', "medication"."drugstarttime") = '2103' GROUP BY "medication"."drugname") SELECT "t1"."drugname" FROM "t1" AS "t1" WHERE "t1"."c1" <= 3
| 0.517578 |
CREATE TABLE table_25200 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
|
Name the date for lebron james , mo williams (21)
|
SELECT "Date" FROM table_25200 WHERE "High points" = 'LeBron James , Mo Williams (21)'
|
SELECT "Date" FROM "table_25200" WHERE "High points" = 'LeBron James , Mo Williams (21)'
| 0.085938 |
CREATE TABLE table_42967 ("Year" FLOAT, "Drivers" TEXT, "Races" FLOAT, "Wins" FLOAT, "Poles" FLOAT, "Fast laps" FLOAT, "Points" FLOAT, "D.C." TEXT, "T.C." TEXT)
|
What is the least number of Races for a Racer with less than 0 Points?
|
SELECT MIN("Races") FROM table_42967 WHERE "Points" < '0'
|
SELECT MIN("Races") FROM "table_42967" WHERE "Points" < '0'
| 0.057617 |
CREATE TABLE elimination (elimination_id TEXT, wrestler_id TEXT, team TEXT, eliminated_by TEXT, elimination_move TEXT, time TEXT)
CREATE TABLE wrestler (wrestler_id DECIMAL, name TEXT, reign TEXT, days_held TEXT, location TEXT, event TEXT)
|
Return the elimination movies of wrestlers on Team Orton.
|
SELECT elimination_move FROM elimination WHERE team = "Team Orton"
|
SELECT "elimination_move" FROM "elimination" WHERE "Team Orton" = "team"
| 0.070313 |
CREATE TABLE table_29005 ("Pick #" FLOAT, "Player" TEXT, "Position" TEXT, "Nationality" TEXT, "NHL team" TEXT, "College/junior/club team" TEXT)
|
what is the nhl team for the player john maclean?
|
SELECT "NHL team" FROM table_29005 WHERE "Player" = 'John MacLean'
|
SELECT "NHL team" FROM "table_29005" WHERE "Player" = 'John MacLean'
| 0.066406 |
CREATE TABLE table_12032893_1 (year VARCHAR, home_town VARCHAR)
|
How many years have the home town of Baton Rouge, LA?
|
SELECT COUNT(year) FROM table_12032893_1 WHERE home_town = "Baton Rouge, LA"
|
SELECT COUNT("year") FROM "table_12032893_1" WHERE "Baton Rouge, LA" = "home_town"
| 0.080078 |
CREATE TABLE table_13590 ("Year" FLOAT, "Competition" TEXT, "Venue" TEXT, "Position" TEXT, "Event" TEXT, "Notes" TEXT)
|
What venue has 7964 pb notes?
|
SELECT "Venue" FROM table_13590 WHERE "Notes" = '7964 pb'
|
SELECT "Venue" FROM "table_13590" WHERE "Notes" = '7964 pb'
| 0.057617 |
CREATE TABLE table_29567 ("No. in series" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "U.S. Viewers ( millions ) " TEXT)
|
Name who wrote the episode by lawrence trilling
|
SELECT "Written by" FROM table_29567 WHERE "Directed by" = 'Lawrence Trilling'
|
SELECT "Written by" FROM "table_29567" WHERE "Directed by" = 'Lawrence Trilling'
| 0.078125 |
CREATE TABLE table_10812938_4 (position VARCHAR, cfl_team VARCHAR)
|
What Position did the Hamilton Tiger-Cats (via Ottawa) pick in the 2006 Draft.
|
SELECT position FROM table_10812938_4 WHERE cfl_team = "Hamilton Tiger-Cats (via Ottawa)"
|
SELECT "position" FROM "table_10812938_4" WHERE "Hamilton Tiger-Cats (via Ottawa)" = "cfl_team"
| 0.092773 |
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE 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 countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
|
For all employees who have the letters D or S in their first name, what is the relationship between employee_id and salary ?
|
SELECT EMPLOYEE_ID, SALARY FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%'
|
SELECT "EMPLOYEE_ID", "SALARY" FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%'
| 0.101563 |
CREATE TABLE volume (Volume_ID INT, Volume_Issue TEXT, Issue_Date TEXT, Weeks_on_Top FLOAT, Song TEXT, Artist_ID INT)
CREATE TABLE music_festival (ID INT, Music_Festival TEXT, Date_of_ceremony TEXT, Category TEXT, Volume INT, Result TEXT)
CREATE TABLE artist (Artist_ID INT, Artist TEXT, Age INT, Famous_Title TEXT, Famous_Release_date TEXT)
|
A bar chart for what are the number of the category of music festivals with result 'Awarded'?, rank by the Y in descending.
|
SELECT Category, COUNT(Category) FROM music_festival WHERE Result = "Awarded" GROUP BY Category ORDER BY COUNT(Category) DESC
|
SELECT "Category", COUNT("Category") FROM "music_festival" WHERE "Awarded" = "Result" GROUP BY "Category" ORDER BY COUNT("Category") DESC NULLS LAST
| 0.144531 |
CREATE TABLE table_name_48 (tournament VARCHAR)
|
What is Tournament, when 2001 is '1R'?
|
SELECT tournament FROM table_name_48 WHERE 2001 = "1r"
|
SELECT "tournament" FROM "table_name_48" WHERE "1r" = 2001
| 0.056641 |
CREATE TABLE table_name_94 (player VARCHAR, round VARCHAR, college_junior_club_team VARCHAR)
|
Who is the player from a round larger than 5 and the college/junior/club team of Leningrad SKA (russia)?
|
SELECT player FROM table_name_94 WHERE round > 5 AND college_junior_club_team = "leningrad ska (russia)"
|
SELECT "player" FROM "table_name_94" WHERE "college_junior_club_team" = "leningrad ska (russia)" AND "round" > 5
| 0.109375 |
CREATE TABLE table_78217 ("State" TEXT, "Interview" FLOAT, "Swimsuit" FLOAT, "Evening Gown" FLOAT, "Average" FLOAT)
|
Name the total number of swimsuits for evening gowns less than 8.21 and average of 8.453 with interview less than 9.09
|
SELECT COUNT("Swimsuit") FROM table_78217 WHERE "Interview" < '9.09' AND "Evening Gown" < '8.21' AND "Average" = '8.453'
|
SELECT COUNT("Swimsuit") FROM "table_78217" WHERE "Average" = '8.453' AND "Evening Gown" < '8.21' AND "Interview" < '9.09'
| 0.119141 |
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_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 d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
|
how many times was the linear rep lid lacer procedure carried out during a year before?
|
SELECT COUNT(*) FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'linear rep lid lacer') AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')
|
SELECT COUNT(*) FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'linear rep lid lacer' WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')
| 0.297852 |
CREATE TABLE table_name_22 (political_party VARCHAR, name VARCHAR)
|
Which Political Party has a Name of rexhep bej mitrovica?
|
SELECT political_party FROM table_name_22 WHERE name = "rexhep bej mitrovica"
|
SELECT "political_party" FROM "table_name_22" WHERE "name" = "rexhep bej mitrovica"
| 0.081055 |
CREATE TABLE table_17823 ("Club" TEXT, "Played" TEXT, "Won" TEXT, "Drawn" TEXT, "Lost" TEXT, "Points for" TEXT, "Points against" TEXT, "Tries for" TEXT, "Tries against" TEXT, "Try bonus" TEXT, "Losing bonus" TEXT, "Points" TEXT)
|
HOW MANY GAMES WERE LOST BY 12 POINTS?
|
SELECT COUNT("Points for") FROM table_17823 WHERE "Lost" = '12'
|
SELECT COUNT("Points for") FROM "table_17823" WHERE "Lost" = '12'
| 0.063477 |
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
|
For those records from the products and each product's manufacturer, a bar chart shows the distribution of name and code , and group by attribute headquarter, and order in ascending by the Y.
|
SELECT T1.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter, T1.Name ORDER BY T1.Code
|
SELECT "T1"."Name", "T1"."Code" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Headquarter", "T1"."Name" ORDER BY "T1"."Code" NULLS FIRST
| 0.185547 |
CREATE TABLE table_name_18 (location VARCHAR, event VARCHAR)
|
Where was the UFC 154 match held?
|
SELECT location FROM table_name_18 WHERE event = "ufc 154"
|
SELECT "location" FROM "table_name_18" WHERE "event" = "ufc 154"
| 0.0625 |
CREATE TABLE table_name_87 (nationality VARCHAR, player VARCHAR)
|
What is Graham Gooch's nationality?
|
SELECT nationality FROM table_name_87 WHERE player = "graham gooch"
|
SELECT "nationality" FROM "table_name_87" WHERE "graham gooch" = "player"
| 0.071289 |
CREATE TABLE table_14342480_6 (extra_points INT, position VARCHAR)
|
Name the most extra points for right tackle
|
SELECT MAX(extra_points) FROM table_14342480_6 WHERE position = "Right tackle"
|
SELECT MAX("extra_points") FROM "table_14342480_6" WHERE "Right tackle" = "position"
| 0.082031 |
CREATE TABLE table_23919 ("Year" TEXT, "Head Coach" TEXT, "Regular Season Record ( W-L ) " TEXT, "NEC Record" TEXT, "Standing" TEXT, "NEC Tournament Record" TEXT)
|
Name the regular season record for standing 11th
|
SELECT "Regular Season Record (W-L)" FROM table_23919 WHERE "Standing" = '11th'
|
SELECT "Regular Season Record (W-L)" FROM "table_23919" WHERE "Standing" = '11th'
| 0.079102 |
CREATE TABLE table_name_79 (opponent VARCHAR, series VARCHAR)
|
Who was the opponent with a series of 1-0?
|
SELECT opponent FROM table_name_79 WHERE series = "1-0"
|
SELECT "opponent" FROM "table_name_79" WHERE "1-0" = "series"
| 0.05957 |
CREATE TABLE table_name_53 (score VARCHAR, runner_up VARCHAR, tournament VARCHAR)
|
what was the score when goran ivani evi was runner up and the tournament was in algarve?
|
SELECT score FROM table_name_53 WHERE runner_up = "goran ivanišević" AND tournament = "algarve"
|
SELECT "score" FROM "table_name_53" WHERE "algarve" = "tournament" AND "goran ivanišević" = "runner_up"
| 0.100586 |
CREATE TABLE table_321 ("Country" TEXT, "Interview" TEXT, "Swimsuit" TEXT, "Evening Gown" TEXT, "Average" TEXT)
|
How many interviews were there for Miss Virginia?
|
SELECT COUNT("Interview") FROM table_321 WHERE "Country" = 'Virginia'
|
SELECT COUNT("Interview") FROM "table_321" WHERE "Country" = 'Virginia'
| 0.069336 |
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
|
For those employees who do not work in departments with managers that have ids between 100 and 200, draw a line chart about the change of salary over hire_date , show by the x axis in ascending please.
|
SELECT HIRE_DATE, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY HIRE_DATE
|
SELECT "HIRE_DATE", "SALARY" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "HIRE_DATE" NULLS FIRST
| 0.196289 |
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
|
For those records from the products and each product's manufacturer, give me the comparison about the average of price over the name , and group by attribute name by a bar chart.
|
SELECT T2.Name, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name
|
SELECT "T2"."Name", "T1"."Price" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Name"
| 0.139648 |
CREATE TABLE table_11103 ("Suburb" TEXT, "Population ( in 2008 ) " FLOAT, "Median age ( in 2006 ) " TEXT, "Mean household size ( in 2006 ) " TEXT, "Area ( km\\u00b2 ) " FLOAT, "Density ( /km\\u00b2 ) " FLOAT, "Date first settled as a suburb" FLOAT, "Gazetted as a Division Name" TEXT)
|
Which Suburb was First Settled as a Suburb in 1962?
|
SELECT "Suburb" FROM table_11103 WHERE "Date first settled as a suburb" = '1962'
|
SELECT "Suburb" FROM "table_11103" WHERE "Date first settled as a suburb" = '1962'
| 0.080078 |
CREATE TABLE table_31706 ("Pos." TEXT, "Driver" TEXT, "Constructor" TEXT, "Part 1" TEXT, "Grid" TEXT)
|
Tell me the pos for adrian sutil
|
SELECT "Pos." FROM table_31706 WHERE "Driver" = 'adrian sutil'
|
SELECT "Pos." FROM "table_31706" WHERE "Driver" = 'adrian sutil'
| 0.0625 |
CREATE TABLE table_name_38 (bike__40km_ VARCHAR, swim__15km_ VARCHAR)
|
What is the time for the bike (40km) when the swim (1.5km) is 19:56?
|
SELECT bike__40km_ FROM table_name_38 WHERE swim__15km_ = "19:56"
|
SELECT "bike__40km_" FROM "table_name_38" WHERE "19:56" = "swim__15km_"
| 0.069336 |
CREATE TABLE stadium (ID INT, name TEXT, Capacity INT, City TEXT, Country TEXT, Opening_year INT)
CREATE TABLE swimmer (ID INT, name TEXT, Nationality TEXT, meter_100 FLOAT, meter_200 TEXT, meter_300 TEXT, meter_400 TEXT, meter_500 TEXT, meter_600 TEXT, meter_700 TEXT, Time TEXT)
CREATE TABLE event (ID INT, Name TEXT, Stadium_ID INT, Year TEXT)
CREATE TABLE record (ID INT, Result TEXT, Swimmer_ID INT, Event_ID INT)
|
Visualize a bar chart about the distribution of meter_400 and meter_100 , rank from high to low by the Y please.
|
SELECT meter_400, meter_100 FROM swimmer ORDER BY meter_100 DESC
|
SELECT "meter_400", "meter_100" FROM "swimmer" ORDER BY "meter_100" DESC NULLS LAST
| 0.081055 |
CREATE TABLE table_27277284_28 (ht VARCHAR, mult_1 VARCHAR)
|
How much ht does the model with 10x mult. 1 have?
|
SELECT ht FROM table_27277284_28 WHERE mult_1 = "10x"
|
SELECT "ht" FROM "table_27277284_28" WHERE "10x" = "mult_1"
| 0.057617 |
CREATE TABLE table_68662 ("Name" TEXT, "Years" TEXT, "Gender" TEXT, "Area" TEXT, "Authority" TEXT, "Decile" FLOAT, "Roll" FLOAT)
|
What is the total amount of decile with the authority of state around the Pokuru School and a roll smaller than 109?
|
SELECT SUM("Decile") FROM table_68662 WHERE "Authority" = 'state' AND "Name" = 'pokuru school' AND "Roll" < '109'
|
SELECT SUM("Decile") FROM "table_68662" WHERE "Authority" = 'state' AND "Name" = 'pokuru school' AND "Roll" < '109'
| 0.112305 |
CREATE TABLE table_43291 ("Date" TEXT, "Time" TEXT, "Channel" TEXT, "Running Time" TEXT, "Notes" TEXT)
|
What is the running time of the transmission on bbc four channels on 23 March 2008?
|
SELECT "Running Time" FROM table_43291 WHERE "Channel" = 'bbc four' AND "Date" = '23 march 2008'
|
SELECT "Running Time" FROM "table_43291" WHERE "Channel" = 'bbc four' AND "Date" = '23 march 2008'
| 0.095703 |
CREATE TABLE table_dev_4 ("id" INT, "hypothyroidism" BOOLEAN, "serum_bicarbonate" INT, "c_peptide_level" FLOAT, "autoimmune_disease" BOOLEAN, "hemoglobin_a1c_hba1c" FLOAT, "positive_serum" BOOLEAN, "inhaled_steroids" BOOLEAN, "diabetic_ketoacidosis" BOOLEAN, "creatinine_clearance_cl" FLOAT, "urinary_ketones" BOOLEAN, "admission_blood_glucose" INT, "chronic_inflammatory" BOOLEAN, "asthma" BOOLEAN, "NOUSE" FLOAT)
|
subjects must have an admission blood glucose > 140 mg and < 400 mg / dl without laboratory evidence of diabetic ketoacidosis ( serum bicarbonate < 18 meq / l or positive serum or urinary ketones ) .
|
SELECT * FROM table_dev_4 WHERE admission_blood_glucose > 140 AND admission_blood_glucose < 400 OR (diabetic_ketoacidosis = 0 OR serum_bicarbonate < 18 OR positive_serum = 1 OR urinary_ketones = 1)
|
SELECT * FROM "table_dev_4" WHERE ("admission_blood_glucose" < 400 OR "diabetic_ketoacidosis" = 0 OR "positive_serum" = 1 OR "serum_bicarbonate" < 18 OR "urinary_ketones" = 1) AND ("admission_blood_glucose" > 140 OR "diabetic_ketoacidosis" = 0 OR "positive_serum" = 1 OR "serum_bicarbonate" < 18 OR "urinary_ketones" = 1)
| 0.313477 |
CREATE TABLE table_35256 ("Rank" FLOAT, "Airport" TEXT, "Location" TEXT, "Code ( IATA ) " TEXT, "Total Cargo ( Metric Tonnes ) " TEXT, "2003 Rank" TEXT, "% Change" TEXT)
|
What is the IATA code of the airport that has a Total Cargo of 1,838,894 Metric Tonnes?
|
SELECT "Code (IATA)" FROM table_35256 WHERE "Total Cargo (Metric Tonnes)" = '1,838,894'
|
SELECT "Code (IATA)" FROM "table_35256" WHERE "Total Cargo (Metric Tonnes)" = '1,838,894'
| 0.086914 |
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip 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 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 comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE 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 semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
|
Without including the DANCE department , what are the required courses for the major ?
|
SELECT DISTINCT course.department, course.name, course.number FROM course, program, program_course WHERE course.department <> 'DANCE' AND program_course.course_id = course.course_id AND program.program_id = program_course.program_id
|
SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" JOIN "program" ON "program"."program_id" = "program_course"."program_id" WHERE "course"."department" <> 'DANCE'
| 0.269531 |
CREATE TABLE table_name_38 (margin_of_victory VARCHAR, winning_score VARCHAR)
|
What was the margin of victory for the win with a score of 71-69-71-70=281?
|
SELECT margin_of_victory FROM table_name_38 WHERE winning_score = 71 - 69 - 71 - 70 = 281
|
SELECT "margin_of_victory" FROM "table_name_38" WHERE "winning_score" = FALSE
| 0.075195 |
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto 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)
|
did patient 23721 ever have any microbiology tests done this year?
|
SELECT COUNT(*) > 0 FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 23721) AND DATETIME(microbiologyevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 23721 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "microbiologyevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "microbiologyevents"."hadm_id" WHERE DATETIME("microbiologyevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_0"."" IS NULL
| 0.379883 |
CREATE TABLE table_23456 ("Number" FLOAT, "Registration" TEXT, "First flew" TEXT, "Last flew" TEXT, "Flying hours" FLOAT, "Location" TEXT)
|
what is the registration located on 31 january 1975 where first flew?
|
SELECT "Registration" FROM table_23456 WHERE "First flew" = '31 January 1975'
|
SELECT "Registration" FROM "table_23456" WHERE "First flew" = '31 January 1975'
| 0.077148 |
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE 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 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 treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
|
how many days have passed since patient 016-9636 received his first -monos lab test on the current hospital visit?
|
SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', lab.labresulttime)) FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '016-9636' AND patient.hospitaldischargetime IS NULL)) AND lab.labname = '-monos' ORDER BY lab.labresulttime LIMIT 1
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '016-9636' 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 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "lab"."labresulttime")) FROM "lab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = '-monos' AND NOT "_u_1"."" IS NULL ORDER BY "lab"."labresulttime" NULLS FIRST LIMIT 1
| 0.65918 |
CREATE TABLE table_22050544_1 (winner VARCHAR, elapsed_time VARCHAR)
|
Who is the winner with an elapsed time of 12 h 42 min?
|
SELECT winner FROM table_22050544_1 WHERE elapsed_time = "12 h 42 min"
|
SELECT "winner" FROM "table_22050544_1" WHERE "12 h 42 min" = "elapsed_time"
| 0.074219 |
CREATE TABLE people_addresses (person_address_id DECIMAL, person_id DECIMAL, address_id DECIMAL, date_from TIME, date_to TIME)
CREATE TABLE candidate_assessments (candidate_id DECIMAL, qualification TEXT, assessment_date TIME, asessment_outcome_code TEXT)
CREATE TABLE people (person_id DECIMAL, first_name TEXT, middle_name TEXT, last_name TEXT, cell_mobile_number TEXT, email_address TEXT, login_name TEXT, password TEXT)
CREATE TABLE students (student_id DECIMAL, student_details TEXT)
CREATE TABLE student_course_registrations (student_id DECIMAL, course_id DECIMAL, registration_date TIME)
CREATE TABLE student_course_attendance (student_id DECIMAL, course_id DECIMAL, date_of_attendance TIME)
CREATE TABLE candidates (candidate_id DECIMAL, candidate_details TEXT)
CREATE TABLE addresses (address_id DECIMAL, line_1 TEXT, line_2 TEXT, city TEXT, zip_postcode TEXT, state_province_county TEXT, country TEXT)
CREATE TABLE courses (course_id TEXT, course_name TEXT, course_description TEXT, other_details TEXT)
|
What are the ids of the courses that are registered or attended by the student whose id is 121?
|
SELECT course_id FROM student_course_registrations WHERE student_id = 121 UNION SELECT course_id FROM student_course_attendance WHERE student_id = 121
|
SELECT "course_id" FROM "student_course_registrations" WHERE "student_id" = 121 UNION SELECT "course_id" FROM "student_course_attendance" WHERE "student_id" = 121
| 0.158203 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
|
how many patients aged less than 45 years speak the language port?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "PORT" AND demographic.age < "45"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "45" > "demographic"."age" AND "PORT" = "demographic"."language"
| 0.135742 |
CREATE TABLE table_27319183_7 (total_itv_viewers__millions_ VARCHAR, official_itv_rating__millions_ VARCHAR)
|
How many total itv viewers were there for the episode with official itv ratings of 10.24 million?
|
SELECT total_itv_viewers__millions_ FROM table_27319183_7 WHERE official_itv_rating__millions_ = "10.24"
|
SELECT "total_itv_viewers__millions_" FROM "table_27319183_7" WHERE "10.24" = "official_itv_rating__millions_"
| 0.107422 |
CREATE TABLE record (ID INT, Result TEXT, Swimmer_ID INT, Event_ID INT)
CREATE TABLE swimmer (ID INT, name TEXT, Nationality TEXT, meter_100 FLOAT, meter_200 TEXT, meter_300 TEXT, meter_400 TEXT, meter_500 TEXT, meter_600 TEXT, meter_700 TEXT, Time TEXT)
CREATE TABLE stadium (ID INT, name TEXT, Capacity INT, City TEXT, Country TEXT, Opening_year INT)
CREATE TABLE event (ID INT, Name TEXT, Stadium_ID INT, Year TEXT)
|
Draw a bar chart about the distribution of Nationality and the average of ID , and group by attribute Nationality, and list in desc by the y axis.
|
SELECT Nationality, AVG(ID) FROM swimmer GROUP BY Nationality ORDER BY AVG(ID) DESC
|
SELECT "Nationality", AVG("ID") FROM "swimmer" GROUP BY "Nationality" ORDER BY AVG("ID") DESC NULLS LAST
| 0.101563 |
CREATE TABLE table_38637 ("City" TEXT, "Country" TEXT, "IATA" TEXT, "ICAO" TEXT, "Airport" TEXT)
|
Name the airport for ICAO of flls
|
SELECT "Airport" FROM table_38637 WHERE "ICAO" = 'flls'
|
SELECT "Airport" FROM "table_38637" WHERE "ICAO" = 'flls'
| 0.055664 |
CREATE TABLE table_203_735 (id DECIMAL, "rd" DECIMAL, "pick" DECIMAL, "player" TEXT, "position" TEXT, "school" TEXT)
|
who was picked after roy lester ?
|
SELECT "player" FROM table_203_735 WHERE "pick" > (SELECT "pick" FROM table_203_735 WHERE "player" = 'roy lester') ORDER BY "pick" LIMIT 1
|
SELECT "player" FROM "table_203_735" WHERE "pick" > (SELECT "pick" FROM "table_203_735" WHERE "player" = 'roy lester') ORDER BY "pick" NULLS FIRST LIMIT 1
| 0.150391 |
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
|
For those employees who do not work in departments with managers that have ids between 100 and 200, a bar chart shows the distribution of hire_date and the amount of hire_date bin hire_date by time, I want to rank from high to low by the y-axis.
|
SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY COUNT(HIRE_DATE) DESC
|
SELECT "HIRE_DATE", COUNT("HIRE_DATE") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY COUNT("HIRE_DATE") DESC NULLS LAST
| 0.216797 |
CREATE TABLE table_13758945_3 (won VARCHAR, points_against VARCHAR)
|
what's the won with points against being 597
|
SELECT won FROM table_13758945_3 WHERE points_against = "597"
|
SELECT "won" FROM "table_13758945_3" WHERE "597" = "points_against"
| 0.06543 |
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 locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
|
For those employees who did not have any job in the past, show me about the change of salary over hire_date in a line chart, could you order X in ascending order?
|
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_name_37 (date INT, building VARCHAR)
|
Name the least date for the place which has a building of victoria hall
|
SELECT MIN(date) FROM table_name_37 WHERE building = "victoria hall"
|
SELECT MIN("date") FROM "table_name_37" WHERE "building" = "victoria hall"
| 0.072266 |
CREATE TABLE table_name_7 (game VARCHAR, year VARCHAR)
|
What game was in 2011?
|
SELECT game FROM table_name_7 WHERE year = 2011
|
SELECT "game" FROM "table_name_7" WHERE "year" = 2011
| 0.051758 |
CREATE TABLE HOST (Nationality VARCHAR)
|
Show different nationalities along with the number of hosts of each nationality.
|
SELECT Nationality, COUNT(*) FROM HOST GROUP BY Nationality
|
SELECT "Nationality", COUNT(*) FROM "HOST" GROUP BY "Nationality"
| 0.063477 |
CREATE TABLE table_name_31 (time INT, year VARCHAR, event VARCHAR)
|
What's the highest time for the 1995 200 metres event?
|
SELECT MAX(time) FROM table_name_31 WHERE year = 1995 AND event = "200 metres"
|
SELECT MAX("time") FROM "table_name_31" WHERE "200 metres" = "event" AND "year" = 1995
| 0.083984 |
CREATE TABLE table_66266 ("Pick" FLOAT, "Team" TEXT, "Player" TEXT, "Position" TEXT, "College" TEXT)
|
What was the position of the player picked after 94, by the Boston Patriots?
|
SELECT "Position" FROM table_66266 WHERE "Pick" > '94' AND "Team" = 'boston patriots'
|
SELECT "Position" FROM "table_66266" WHERE "Pick" > '94' AND "Team" = 'boston patriots'
| 0.084961 |
CREATE TABLE table_name_35 (venue VARCHAR, event VARCHAR, tournament VARCHAR)
|
What was the venue of the 400 M Hurdles for the Olympic Games?
|
SELECT venue FROM table_name_35 WHERE event = "400 m hurdles" AND tournament = "olympic games"
|
SELECT "venue" FROM "table_name_35" WHERE "400 m hurdles" = "event" AND "olympic games" = "tournament"
| 0.099609 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
count the number of patients whose insurance is government and procedure icd9 code is 3727?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Government" AND procedures.icd9_code = "3727"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "3727" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Government" = "demographic"."insurance"
| 0.217773 |
CREATE TABLE table_27616663_1 (theme VARCHAR, original_artist VARCHAR)
|
What was the theme when original artist Rosana's song was performed?
|
SELECT theme FROM table_27616663_1 WHERE original_artist = "Rosana"
|
SELECT "theme" FROM "table_27616663_1" WHERE "Rosana" = "original_artist"
| 0.071289 |
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
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how many oth extraoc mus-tend op procedures have taken place during the last year?
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SELECT COUNT(*) FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'oth extraoc mus-tend op') AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')
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SELECT COUNT(*) FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'oth extraoc mus-tend op' WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')
| 0.300781 |
CREATE TABLE table_27721131_6 (record VARCHAR, date VARCHAR)
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What is the record for the game on november 25?
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SELECT record FROM table_27721131_6 WHERE date = "November 25"
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SELECT "record" FROM "table_27721131_6" WHERE "November 25" = "date"
| 0.066406 |
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