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CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year 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 offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location 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 requirement (requirement_id INT, requirement VARCHAR, college 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 (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 program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE area (course_id INT, area VARCHAR)
|
What classes does Dr. Michael Sawdy have experience teaching ?
|
SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, instructor, offering_instructor WHERE course_offering.semester < (SELECT SEMESTERalias0.semester_id FROM semester AS SEMESTERalias0 WHERE SEMESTERalias0.semester = 'WN' AND SEMESTERalias0.year = 2016) AND course.course_id = course_offering.course_id AND instructor.name LIKE '%Michael Sawdy%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id
|
SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" AS "SEMESTERalias0" ON "SEMESTERalias0"."semester" = 'WN' AND "SEMESTERalias0"."semester_id" > "course_offering"."semester" AND "SEMESTERalias0"."year" = 2016 JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%Michael Sawdy%'
| 0.564453 |
CREATE TABLE table_13383 ("Draw" FLOAT, "Language" TEXT, "Artist" TEXT, "Song" TEXT, "English translation" TEXT, "Place" FLOAT, "Points" FLOAT)
|
Which artist speaks croatian?
|
SELECT "Artist" FROM table_13383 WHERE "Language" = 'croatian'
|
SELECT "Artist" FROM "table_13383" WHERE "Language" = 'croatian'
| 0.0625 |
CREATE TABLE party (Party_ID INT, Year FLOAT, Party TEXT, Governor TEXT, Lieutenant_Governor TEXT, Comptroller TEXT, Attorney_General TEXT, US_Senate TEXT)
CREATE TABLE election (Election_ID INT, Counties_Represented TEXT, District INT, Delegate TEXT, Party INT, First_Elected FLOAT, Committee TEXT)
CREATE TABLE county (County_Id INT, County_name TEXT, Population FLOAT, Zip_code TEXT)
|
Show the name of each party and the corresponding number of delegates from that party Plot them as bar chart, and I want to list by the X in descending.
|
SELECT T2.Party, SUM(COUNT(*)) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID GROUP BY T2.Party ORDER BY T2.Party DESC
|
SELECT "T2"."Party", SUM(COUNT(*)) FROM "election" AS "T1" JOIN "party" AS "T2" ON "T1"."Party" = "T2"."Party_ID" GROUP BY "T2"."Party" ORDER BY "T2"."Party" DESC NULLS LAST
| 0.168945 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
what is admission type and procedure icd9 code of subject id 21796?
|
SELECT demographic.admission_type, procedures.icd9_code FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.subject_id = "21796"
|
SELECT "demographic"."admission_type", "procedures"."icd9_code" FROM "demographic" JOIN "procedures" ON "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "21796" = "demographic"."subject_id"
| 0.19043 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
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)
|
what is insurance and death status of subject id 4333?
|
SELECT demographic.insurance, demographic.expire_flag FROM demographic WHERE demographic.subject_id = "4333"
|
SELECT "demographic"."insurance", "demographic"."expire_flag" FROM "demographic" WHERE "4333" = "demographic"."subject_id"
| 0.119141 |
CREATE TABLE table_name_13 (money___ INT, country VARCHAR, to_par VARCHAR)
|
What is the lowest amount of money a player from South Africa with a to par less than 8 has?
|
SELECT MIN(money___) AS $__ FROM table_name_13 WHERE country = "south africa" AND to_par < 8
|
SELECT MIN("money___") AS $__ FROM "table_name_13" WHERE "country" = "south africa" AND "to_par" < 8
| 0.097656 |
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 did not have any job in the past, visualize a bar chart about the distribution of hire_date and the sum of salary bin hire_date by weekday, I want to sort in asc by the Y-axis.
|
SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY SUM(SALARY)
|
SELECT "HIRE_DATE", SUM("SALARY") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") ORDER BY SUM("SALARY") NULLS FIRST
| 0.150391 |
CREATE TABLE table_32028 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Attendance" FLOAT)
|
What was the outcome of the game that had a week number of less than 2?
|
SELECT "Result" FROM table_32028 WHERE "Week" < '2'
|
SELECT "Result" FROM "table_32028" WHERE "Week" < '2'
| 0.051758 |
CREATE TABLE table_204_755 (id DECIMAL, "week" DECIMAL, "date" TEXT, "opponent" TEXT, "result" TEXT, "attendance" DECIMAL)
|
how many times did they play an opponent in november ?
|
SELECT COUNT(*) FROM table_204_755 WHERE "date" = 11
|
SELECT COUNT(*) FROM "table_204_755" WHERE "date" = 11
| 0.052734 |
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 code_description (code VARCHAR, description TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE 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 airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
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 state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
|
find me the cheapest one way fare i can get from BOSTON to DENVER
|
SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER' AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, fare AS FAREalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'BOSTON' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'DENVER' AND FAREalias1.round_trip_required = 'NO' AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND fare.round_trip_required = 'NO' AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
|
WITH "_u_0" AS (SELECT MIN("FAREalias1"."one_direction_cost") FROM "airport_service" AS "AIRPORT_SERVICEalias2" JOIN "city" AS "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'BOSTON' JOIN "flight" AS "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "flight_fare" AS "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" AS "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'DENVER' JOIN "fare" AS "FAREalias1" ON "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id" AND "FAREalias1"."round_trip_required" = 'NO') SELECT DISTINCT "fare"."fare_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DENVER' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" AND "fare"."round_trip_required" = 'NO' JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "fare"."one_direction_cost"
| 1.543945 |
CREATE TABLE table_26130295_3 (final_four_mvp INT, first_team VARCHAR)
|
what would be final four mvp maximum when first team is 1
|
SELECT MAX(final_four_mvp) FROM table_26130295_3 WHERE first_team = 1
|
SELECT MAX("final_four_mvp") FROM "table_26130295_3" WHERE "first_team" = 1
| 0.073242 |
CREATE TABLE table_47081 ("Name" TEXT, "Class" TEXT, "Navy" TEXT, "Date joined" TEXT, "Date departed" TEXT)
|
What's the class of the HMS Heartsease?
|
SELECT "Class" FROM table_47081 WHERE "Name" = 'hms heartsease'
|
SELECT "Class" FROM "table_47081" WHERE "Name" = 'hms heartsease'
| 0.063477 |
CREATE TABLE table_name_89 (finish INT, start VARCHAR, year VARCHAR)
|
What is the average finish that has 24 as the start, with a year after 1987?
|
SELECT AVG(finish) FROM table_name_89 WHERE start = 24 AND year > 1987
|
SELECT AVG("finish") FROM "table_name_89" WHERE "start" = 24 AND "year" > 1987
| 0.076172 |
CREATE TABLE editor (Age VARCHAR)
|
What are the different ages of editors? Show each age along with the number of editors of that age.
|
SELECT Age, COUNT(*) FROM editor GROUP BY Age
|
SELECT "Age", COUNT(*) FROM "editor" GROUP BY "Age"
| 0.049805 |
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE 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 code_description (code VARCHAR, description TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
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 airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
|
the cheapest flights from ATLANTA to PHILADELPHIA that arrive after 12pm on a TUESDAY
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, days, fare, flight, flight_fare WHERE ((((((flight.arrival_time < flight.departure_time) AND days.day_name = 'MONDAY' AND flight.flight_days = days.days_code) OR (days.day_name = 'TUESDAY' AND flight.flight_days = days.days_code AND NOT (flight.arrival_time < flight.departure_time))) AND flight.arrival_time > 1200) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPHIA' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'ATLANTA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, days AS DAYSalias1, fare AS FAREalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE (((((FLIGHTalias1.arrival_time < FLIGHTalias1.departure_time) AND DAYSalias1.day_name = 'MONDAY' AND FLIGHTalias1.flight_days = DAYSalias1.days_code) OR (DAYSalias1.day_name = 'TUESDAY' AND FLIGHTalias1.flight_days = DAYSalias1.days_code AND NOT (FLIGHTalias1.arrival_time < FLIGHTalias1.departure_time))) AND FLIGHTalias1.arrival_time > 1200) AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'PHILADELPHIA' AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'ATLANTA' AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code) AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id
|
WITH "_u_0" AS (SELECT MIN("FAREalias1"."one_direction_cost") FROM "airport_service" AS "AIRPORT_SERVICEalias2" JOIN "city" AS "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'ATLANTA' JOIN "flight" AS "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" AND "FLIGHTalias1"."arrival_time" > 1200 JOIN "airport_service" AS "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "days" AS "DAYSalias1" ON ("DAYSalias1"."day_name" = 'MONDAY' AND "DAYSalias1"."days_code" = "FLIGHTalias1"."flight_days" AND "FLIGHTalias1"."arrival_time" < "FLIGHTalias1"."departure_time") OR ("DAYSalias1"."day_name" = 'TUESDAY' AND "DAYSalias1"."days_code" = "FLIGHTalias1"."flight_days" AND "FLIGHTalias1"."arrival_time" >= "FLIGHTalias1"."departure_time") JOIN "flight_fare" AS "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" AS "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'PHILADELPHIA' JOIN "fare" AS "FAREalias1" ON "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id") SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'ATLANTA' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND ("flight"."arrival_time" < "flight"."departure_time" OR "flight"."arrival_time" >= "flight"."departure_time") AND "flight"."arrival_time" > 1200 JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "days" ON ("days"."day_name" = 'MONDAY' OR "days"."day_name" = 'TUESDAY') AND ("days"."day_name" = 'MONDAY' OR "flight"."arrival_time" >= "flight"."departure_time") AND ("days"."day_name" = 'TUESDAY' OR "flight"."arrival_time" < "flight"."departure_time") AND "days"."days_code" = "flight"."flight_days" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PHILADELPHIA' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "fare"."one_direction_cost"
| 2.322266 |
CREATE TABLE table_74738 ("Municipality" TEXT, "Inhabitants" FLOAT, "Mayor" TEXT, "Party" TEXT, "Election" FLOAT)
|
How many elections had more than 36,599 inhabitants when Mayor was giovanni manildo?
|
SELECT COUNT("Election") FROM table_74738 WHERE "Inhabitants" > '36,599' AND "Mayor" = 'giovanni manildo'
|
SELECT COUNT("Election") FROM "table_74738" WHERE "Inhabitants" > '36,599' AND "Mayor" = 'giovanni manildo'
| 0.104492 |
CREATE TABLE table_204_168 (id DECIMAL, "date" TEXT, "time" TEXT, "opponent" TEXT, "site" TEXT, "tv" TEXT, "result" TEXT, "attendance" DECIMAL, "record" TEXT)
|
how many games had more than 1,500 in attendance ?
|
SELECT COUNT(*) FROM table_204_168 WHERE "attendance" > 1500
|
SELECT COUNT(*) FROM "table_204_168" WHERE "attendance" > 1500
| 0.060547 |
CREATE TABLE table_name_98 (goals VARCHAR, name VARCHAR)
|
How many goals did sture m rtensson score?
|
SELECT goals FROM table_name_98 WHERE name = "sture mårtensson"
|
SELECT "goals" FROM "table_name_98" WHERE "name" = "sture mårtensson"
| 0.067383 |
CREATE TABLE machine (Machine_ID INT, Making_Year INT, Class TEXT, Team TEXT, Machine_series TEXT, value_points FLOAT, quality_rank INT)
CREATE TABLE repair_assignment (technician_id INT, repair_ID INT, Machine_ID INT)
CREATE TABLE repair (repair_ID INT, name TEXT, Launch_Date TEXT, Notes TEXT)
CREATE TABLE technician (technician_id FLOAT, Name TEXT, Team TEXT, Starting_Year FLOAT, Age INT)
|
For each team, how many technicians are there, and order Y in ascending order.
|
SELECT Team, COUNT(*) FROM technician GROUP BY Team ORDER BY COUNT(*)
|
SELECT "Team", COUNT(*) FROM "technician" GROUP BY "Team" ORDER BY COUNT(*) NULLS FIRST
| 0.084961 |
CREATE TABLE table_33316 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
For the match with an away team score of 16.21 (117), what was the home team score?
|
SELECT "Home team score" FROM table_33316 WHERE "Away team score" = '16.21 (117)'
|
SELECT "Home team score" FROM "table_33316" WHERE "Away team score" = '16.21 (117)'
| 0.081055 |
CREATE TABLE table_name_89 (to_par VARCHAR, winner VARCHAR)
|
What did winner Gary Player par?
|
SELECT to_par FROM table_name_89 WHERE winner = "gary player"
|
SELECT "to_par" FROM "table_name_89" WHERE "gary player" = "winner"
| 0.06543 |
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE procedures_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 d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto 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 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 diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label 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 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)
|
when was patient 14203's respiratory rate the first time measured greater than 16.0 on the first intensive care unit visit?
|
SELECT chartevents.charttime FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 14203) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime LIMIT 1) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'respiratory rate' AND d_items.linksto = 'chartevents') AND chartevents.valuenum > 16.0 ORDER BY chartevents.charttime LIMIT 1
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 14203 GROUP BY "hadm_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'respiratory rate' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT "chartevents"."charttime" FROM "chartevents" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."icustay_id" IN (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "icustays"."outtime" IS NULL ORDER BY "icustays"."intime" NULLS FIRST LIMIT 1) AND "chartevents"."valuenum" > 16.0 AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" NULLS FIRST LIMIT 1
| 0.757813 |
CREATE TABLE table_24852622_1 (class_d_winner VARCHAR, round VARCHAR)
|
Who was the Class D winner in round 6?
|
SELECT class_d_winner FROM table_24852622_1 WHERE round = "6"
|
SELECT "class_d_winner" FROM "table_24852622_1" WHERE "6" = "round"
| 0.06543 |
CREATE TABLE Course_Authors_and_Tutors (author_id INT, author_tutor_ATB VARCHAR, login_name VARCHAR, password VARCHAR, personal_name VARCHAR, middle_name VARCHAR, family_name VARCHAR, gender_mf VARCHAR, address_line_1 VARCHAR)
CREATE TABLE Subjects (subject_id INT, subject_name VARCHAR)
CREATE TABLE Student_Course_Enrolment (registration_id INT, student_id INT, course_id INT, date_of_enrolment DATETIME, date_of_completion DATETIME)
CREATE TABLE Students (student_id INT, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR, password VARCHAR, personal_name VARCHAR, middle_name VARCHAR, family_name VARCHAR)
CREATE TABLE Student_Tests_Taken (registration_id INT, date_test_taken DATETIME, test_result VARCHAR)
CREATE TABLE Courses (course_id INT, author_id INT, subject_id INT, course_name VARCHAR, course_description VARCHAR)
|
Draw a bar chart about the distribution of password and author_tutor_ATB .
|
SELECT password, author_tutor_ATB FROM Course_Authors_and_Tutors ORDER BY personal_name
|
SELECT "password", "author_tutor_ATB" FROM "Course_Authors_and_Tutors" ORDER BY "personal_name" NULLS FIRST
| 0.104492 |
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
|
what were the first drugs that were prescribed to patient 017-20711 in a month before?
|
SELECT medication.drugname FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '017-20711')) AND DATETIME(medication.drugstarttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') ORDER BY medication.drugstarttime LIMIT 1
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '017-20711' 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 "medication"."drugname" FROM "medication" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "medication"."patientunitstayid" WHERE DATETIME("medication"."drugstarttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_1"."" IS NULL ORDER BY "medication"."drugstarttime" NULLS FIRST LIMIT 1
| 0.668945 |
CREATE TABLE debate_people (Debate_ID INT, Affirmative INT, Negative INT, If_Affirmative_Win BOOLEAN)
CREATE TABLE people (People_ID INT, District TEXT, Name TEXT, Party TEXT, Age INT)
CREATE TABLE debate (Debate_ID INT, Date TEXT, Venue TEXT, Num_of_Audience INT)
|
Show different parties of people along with the number of people in each party with a bar chart.
|
SELECT Party, COUNT(*) FROM people GROUP BY Party
|
SELECT "Party", COUNT(*) FROM "people" GROUP BY "Party"
| 0.053711 |
CREATE TABLE table_203_794 (id DECIMAL, "year" DECIMAL, "location" TEXT, "attendance" DECIMAL, "theme phrase" TEXT, "top messages" TEXT, "host" TEXT, "opening general session guest ( s ) " TEXT, "closing general session guest ( s ) " TEXT, "sunday night reception" TEXT, "wednesday night party" TEXT, "cult shirt" TEXT)
|
what is the last theme phrase listed on this chart ?
|
SELECT "theme phrase" FROM table_203_794 ORDER BY id DESC LIMIT 1
|
SELECT "theme phrase" FROM "table_203_794" ORDER BY "id" DESC NULLS LAST LIMIT 1
| 0.078125 |
CREATE TABLE table_name_53 (partner VARCHAR, surface VARCHAR, score_in_the_final VARCHAR)
|
Who was David Adams partner on the match played on Clay Surface with a Score in the final of 6 3, 6 7 (5 7) , 7 6 (7 5)?
|
SELECT partner FROM table_name_53 WHERE surface = "clay" AND score_in_the_final = "6–3, 6–7 (5–7) , 7–6 (7–5)"
|
SELECT "partner" FROM "table_name_53" WHERE "6–3, 6–7 (5–7) , 7–6 (7–5)" = "score_in_the_final" AND "clay" = "surface"
| 0.115234 |
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE 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 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 (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type 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 days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
|
from SAN FRANCISCO to DENVER
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SAN FRANCISCO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
|
SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'SAN FRANCISCO' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DENVER'
| 0.499023 |
CREATE TABLE table_name_53 (away_team VARCHAR, venue VARCHAR)
|
Who was the away team at the game held at Arden Street Oval?
|
SELECT away_team FROM table_name_53 WHERE venue = "arden street oval"
|
SELECT "away_team" FROM "table_name_53" WHERE "arden street oval" = "venue"
| 0.073242 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE 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)
|
count the number of patients whose diagnoses short title is ac infect polyneuritis and lab test abnormal status is delta?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Ac infect polyneuritis" AND lab.flag = "delta"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Ac infect polyneuritis" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "delta" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id"
| 0.269531 |
CREATE TABLE table_26196 ("Year" FLOAT, "Division" FLOAT, "League" TEXT, "Regular Season" TEXT, "Playoffs" TEXT, "Open Cup" TEXT)
|
Name the regular season for usisl d-3 pro league did not qualify
|
SELECT "Regular Season" FROM table_26196 WHERE "League" = 'USISL D-3 Pro League' AND "Playoffs" = 'Did not qualify'
|
SELECT "Regular Season" FROM "table_26196" WHERE "League" = 'USISL D-3 Pro League' AND "Playoffs" = 'Did not qualify'
| 0.114258 |
CREATE TABLE table_name_38 (year_built VARCHAR, length VARCHAR)
|
Where the length is 91', what is the year built?
|
SELECT year_built FROM table_name_38 WHERE length = "91'"
|
SELECT "year_built" FROM "table_name_38" WHERE "91'" = "length"
| 0.061523 |
CREATE TABLE table_name_61 (club VARCHAR, sport VARCHAR, league VARCHAR)
|
Which club plays soccer in the nwsl?
|
SELECT club FROM table_name_61 WHERE sport = "soccer" AND league = "nwsl"
|
SELECT "club" FROM "table_name_61" WHERE "league" = "nwsl" AND "soccer" = "sport"
| 0.079102 |
CREATE TABLE artist (Artist_ID INT, Name TEXT, Country TEXT, Year_Join INT, Age INT)
CREATE TABLE exhibition_record (Exhibition_ID INT, Date TEXT, Attendance INT)
CREATE TABLE exhibition (Exhibition_ID INT, Year INT, Theme TEXT, Artist_ID INT, Ticket_Price FLOAT)
|
Show all artist names and the number of exhibitions for each artist in a pie chart.
|
SELECT Name, COUNT(*) FROM exhibition AS T1 JOIN artist AS T2 ON T1.Artist_ID = T2.Artist_ID GROUP BY T1.Artist_ID
|
SELECT "Name", COUNT(*) FROM "exhibition" AS "T1" JOIN "artist" AS "T2" ON "T1"."Artist_ID" = "T2"."Artist_ID" GROUP BY "T1"."Artist_ID"
| 0.132813 |
CREATE TABLE table_name_82 (year VARCHAR, role_episode VARCHAR)
|
what is the year when the role/episode is david duchovny?
|
SELECT year FROM table_name_82 WHERE role_episode = "david duchovny"
|
SELECT "year" FROM "table_name_82" WHERE "david duchovny" = "role_episode"
| 0.072266 |
CREATE TABLE table_22006 ("Team" TEXT, "Outgoing manage" TEXT, "Manner" TEXT, "Date of vacancy" TEXT, "Incoming manager" TEXT, "Date of appointment" TEXT)
|
Who was the outgoing manager when the incoming manager was jo o pereira?
|
SELECT "Outgoing manage" FROM table_22006 WHERE "Incoming manager" = 'João Pereira'
|
SELECT "Outgoing manage" FROM "table_22006" WHERE "Incoming manager" = 'João Pereira'
| 0.083008 |
CREATE TABLE table_name_12 (home_team VARCHAR, attendance VARCHAR)
|
What Home team had an Attendance of 2,776?
|
SELECT home_team FROM table_name_12 WHERE attendance = "2,776"
|
SELECT "home_team" FROM "table_name_12" WHERE "2,776" = "attendance"
| 0.066406 |
CREATE TABLE table_name_11 (cuts_made INT, events INT)
|
What are the largest cuts made when the events are less than 21?
|
SELECT MAX(cuts_made) FROM table_name_11 WHERE events < 21
|
SELECT MAX("cuts_made") FROM "table_name_11" WHERE "events" < 21
| 0.0625 |
CREATE TABLE table_27496841_3 (average VARCHAR, rank_by_average VARCHAR)
|
Name the average for rank of 3
|
SELECT average FROM table_27496841_3 WHERE rank_by_average = 3
|
SELECT "average" FROM "table_27496841_3" WHERE "rank_by_average" = 3
| 0.066406 |
CREATE TABLE table_204_939 (id DECIMAL, "year" DECIMAL, "chassis" TEXT, "engine" TEXT, "start" TEXT, "finish" TEXT)
|
in 1979 how many places did the cosworth engine decrease from start to finish ?
|
SELECT "finish" - "start" FROM table_204_939 WHERE "year" = 1979 AND "engine" = 'cosworth'
|
SELECT "finish" - "start" FROM "table_204_939" WHERE "engine" = 'cosworth' AND "year" = 1979
| 0.089844 |
CREATE TABLE table_2182654_3 (title VARCHAR, directed_by VARCHAR)
|
What is the name of the episode directed by Miguel Arteta?
|
SELECT title FROM table_2182654_3 WHERE directed_by = "Miguel Arteta"
|
SELECT "title" FROM "table_2182654_3" WHERE "Miguel Arteta" = "directed_by"
| 0.073242 |
CREATE TABLE table_3779 ("Game" FLOAT, "January" FLOAT, "Opponent" TEXT, "Score" TEXT, "Decision" TEXT, "Location/Attendance" TEXT, "Record" TEXT)
|
If the score is 5-3, who made the decision?
|
SELECT "Decision" FROM table_3779 WHERE "Score" = '5-3'
|
SELECT "Decision" FROM "table_3779" WHERE "Score" = '5-3'
| 0.055664 |
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE 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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name 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 SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE 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 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 PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
|
How often is reprex, mcve, mwe, sscce, mvce, example used in comments on SO?.
|
SELECT COUNT(sel.Id) FROM (SELECT c.Id FROM Comments AS c WHERE YEAR(c.CreationDate) >= 2019) AS sel
|
SELECT COUNT("c"."Id") FROM "Comments" AS "c" WHERE YEAR("c"."CreationDate") >= 2019
| 0.082031 |
CREATE TABLE table_26669939_1 (no_of_athletes VARCHAR, edition VARCHAR)
|
What was the number of athletes for the 7th edition?
|
SELECT no_of_athletes FROM table_26669939_1 WHERE edition = "7th"
|
SELECT "no_of_athletes" FROM "table_26669939_1" WHERE "7th" = "edition"
| 0.069336 |
CREATE TABLE captain (Captain_ID INT, Name TEXT, Ship_ID INT, age TEXT, Class TEXT, Rank TEXT)
CREATE TABLE Ship (Ship_ID INT, Name TEXT, Type TEXT, Built_Year FLOAT, Class TEXT, Flag TEXT)
|
Draw a bar chart for how many captains with younger than 50 are in each rank?, sort by the X from low to high.
|
SELECT Rank, COUNT(*) FROM captain WHERE age < 50 GROUP BY Rank ORDER BY Rank
|
SELECT "Rank", COUNT(*) FROM "captain" WHERE "age" < 50 GROUP BY "Rank" ORDER BY "Rank" NULLS FIRST
| 0.09668 |
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
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 locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID 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 regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
|
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, find hire_date and the amount of hire_date bin hire_date by time, and visualize them by a bar chart, could you show in ascending by the y axis?
|
SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY COUNT(HIRE_DATE)
|
SELECT "HIRE_DATE", COUNT("HIRE_DATE") 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 COUNT("HIRE_DATE") NULLS FIRST
| 0.246094 |
CREATE TABLE table_name_59 (position VARCHAR, date_of_birth__age_ VARCHAR, player VARCHAR)
|
What is Postition, when Date of Birth (Age) is Example, and when Player is Mark Spencer?
|
SELECT position FROM table_name_59 WHERE date_of_birth__age_ = "example" AND player = "mark spencer"
|
SELECT "position" FROM "table_name_59" WHERE "date_of_birth__age_" = "example" AND "mark spencer" = "player"
| 0.105469 |
CREATE TABLE table_68008 ("Round" FLOAT, "Overall" FLOAT, "Player" TEXT, "Position" TEXT, "College" TEXT)
|
Name the most overall for james davis and round more than 5
|
SELECT MAX("Overall") FROM table_68008 WHERE "Player" = 'james davis' AND "Round" > '5'
|
SELECT MAX("Overall") FROM "table_68008" WHERE "Player" = 'james davis' AND "Round" > '5'
| 0.086914 |
CREATE TABLE table_61472 ("Tie no" TEXT, "Home team" TEXT, "Score" TEXT, "Away team" TEXT, "Date" TEXT)
|
The game played on 6 December 1986 had what score?
|
SELECT "Score" FROM table_61472 WHERE "Date" = '6 december 1986'
|
SELECT "Score" FROM "table_61472" WHERE "Date" = '6 december 1986'
| 0.064453 |
CREATE TABLE table_203_457 (id DECIMAL, "tramway" TEXT, "country" TEXT, "city" TEXT, "height of pylons" TEXT, "span width , \ leaning straight line" TEXT, "span width , \ horizontal measurement" TEXT, "height of cable over ground" TEXT, "year of inauguration" DECIMAL, "notes" TEXT)
|
how much greater is the height of cable over ground measurement for the peak 2 peak gondola when compared with that of the vanoise express ?
|
SELECT (SELECT "height of cable over ground" FROM table_203_457 WHERE "tramway" = 'peak 2 peak gondola') - (SELECT "height of cable over ground" FROM table_203_457 WHERE "tramway" = 'vanoise express')
|
SELECT (SELECT "height of cable over ground" FROM "table_203_457" WHERE "tramway" = 'peak 2 peak gondola') - (SELECT "height of cable over ground" FROM "table_203_457" WHERE "tramway" = 'vanoise express')
| 0.199219 |
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE 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 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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
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 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 admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE 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)
|
count how many times patient 69895 has had a urine out foley out on 02/10/2105.
|
SELECT COUNT(*) FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 69895)) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'urine out foley' AND d_items.linksto = 'outputevents') AND STRFTIME('%y-%m-%d', outputevents.charttime) = '2105-02-10'
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 69895 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'urine out foley' AND "d_items"."linksto" = 'outputevents' GROUP BY "itemid") SELECT COUNT(*) FROM "outputevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "outputevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "outputevents"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%y-%m-%d', "outputevents"."charttime") = '2105-02-10'
| 0.729492 |
CREATE TABLE table_22956 ("Team" TEXT, "Outgoing manager" TEXT, "Manner of departure" TEXT, "Date of vacancy" TEXT, "Replaced by" TEXT, "Date of appointment" TEXT, "Position in table" TEXT)
|
What was Gary Megson's manner of departure?
|
SELECT "Manner of departure" FROM table_22956 WHERE "Outgoing manager" = 'Gary Megson'
|
SELECT "Manner of departure" FROM "table_22956" WHERE "Outgoing manager" = 'Gary Megson'
| 0.085938 |
CREATE TABLE table_name_3 (rank INT, react VARCHAR, lane VARCHAR, athlete VARCHAR)
|
How many ranks have more than 7 lanes, and an Athlete of michael mathieu, and a Reaction time larger than 0.203?
|
SELECT SUM(rank) FROM table_name_3 WHERE lane > 7 AND athlete = "michael mathieu" AND react > 0.203
|
SELECT SUM("rank") FROM "table_name_3" WHERE "athlete" = "michael mathieu" AND "lane" > 7 AND "react" > 0.203
| 0.106445 |
CREATE TABLE table_name_43 (year_joined INT, county VARCHAR)
|
What is the average year joined of the 277 county?
|
SELECT AVG(year_joined) FROM table_name_43 WHERE county = 277
|
SELECT AVG("year_joined") FROM "table_name_43" WHERE "county" = 277
| 0.06543 |
CREATE TABLE table_33336 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
WHAT WAS THE HOME TEAM'S SCORE WHEN THEY HAD A CROWD GREATER THAN 20,000 AND PLAYED AGAINST COLLINGWOOD?
|
SELECT "Home team score" FROM table_33336 WHERE "Crowd" > '20,000' AND "Away team" = 'collingwood'
|
SELECT "Home team score" FROM "table_33336" WHERE "Away team" = 'collingwood' AND "Crowd" > '20,000'
| 0.097656 |
CREATE TABLE table_13528 ("Frequency" TEXT, "Call sign" TEXT, "Branding" TEXT, "Format" TEXT, "Owner" TEXT, "Language/Rebroadcast" TEXT)
|
who is the owner of fm 94.5?
|
SELECT "Owner" FROM table_13528 WHERE "Frequency" = 'fm 94.5'
|
SELECT "Owner" FROM "table_13528" WHERE "Frequency" = 'fm 94.5'
| 0.061523 |
CREATE TABLE table_name_76 (region VARCHAR, date VARCHAR)
|
What is the region for the date November 18, 2002?
|
SELECT region FROM table_name_76 WHERE date = "november 18, 2002"
|
SELECT "region" FROM "table_name_76" WHERE "date" = "november 18, 2002"
| 0.069336 |
CREATE TABLE table_name_96 (status VARCHAR, name VARCHAR)
|
What is the status of Prenocephale?
|
SELECT status FROM table_name_96 WHERE name = "prenocephale"
|
SELECT "status" FROM "table_name_96" WHERE "name" = "prenocephale"
| 0.064453 |
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 admitted before 2112 are diagnosed with retained plastic fragments?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2112" AND diagnoses.long_title = "Retained plastic fragments"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Retained plastic fragments" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2112" > "demographic"."admityear"
| 0.231445 |
CREATE TABLE table_68212 ("Year" FLOAT, "Manufacturer" TEXT, "Start" FLOAT, "Finish" FLOAT, "Team" TEXT)
|
Name the total number of start when finish is less than 4
|
SELECT COUNT("Start") FROM table_68212 WHERE "Finish" < '4'
|
SELECT COUNT("Start") FROM "table_68212" WHERE "Finish" < '4'
| 0.05957 |
CREATE TABLE table_3780 ("Game" FLOAT, "January" FLOAT, "Opponent" TEXT, "Score" TEXT, "Decision" TEXT, "Location/Attendance" TEXT, "Record" TEXT)
|
If the opponent was the Philadelphia flyers, what was the record?
|
SELECT "Record" FROM table_3780 WHERE "Opponent" = 'Philadelphia Flyers'
|
SELECT "Record" FROM "table_3780" WHERE "Opponent" = 'Philadelphia Flyers'
| 0.072266 |
CREATE TABLE table_name_90 (date VARCHAR, leading_scorer VARCHAR)
|
What is the date when Lebron James (25) was the lead scorer?
|
SELECT date FROM table_name_90 WHERE leading_scorer = "lebron james (25)"
|
SELECT "date" FROM "table_name_90" WHERE "leading_scorer" = "lebron james (25)"
| 0.077148 |
CREATE TABLE table_name_17 (position VARCHAR, school_club_team VARCHAR, overall VARCHAR, round VARCHAR)
|
What position and school/club team of Oklahoma state has an overall less than 410 and a round smaller than 5?
|
SELECT position FROM table_name_17 WHERE overall < 410 AND round < 5 AND school_club_team = "oklahoma state"
|
SELECT "position" FROM "table_name_17" WHERE "oklahoma state" = "school_club_team" AND "overall" < 410 AND "round" < 5
| 0.115234 |
CREATE TABLE Ref_Transaction_Types (transaction_type_description VARCHAR, transaction_type_code VARCHAR)
CREATE TABLE TRANSACTIONS (date_of_transaction VARCHAR, transaction_type_code VARCHAR, share_count INT)
|
Show the transaction type descriptions and dates if the share count is smaller than 10.
|
SELECT T1.transaction_type_description, T2.date_of_transaction FROM Ref_Transaction_Types AS T1 JOIN TRANSACTIONS AS T2 ON T1.transaction_type_code = T2.transaction_type_code WHERE T2.share_count < 10
|
SELECT "T1"."transaction_type_description", "T2"."date_of_transaction" FROM "Ref_Transaction_Types" AS "T1" JOIN "TRANSACTIONS" AS "T2" ON "T1"."transaction_type_code" = "T2"."transaction_type_code" AND "T2"."share_count" < 10
| 0.220703 |
CREATE TABLE table_70833 ("Name" TEXT, "Frequency" TEXT, "Language" TEXT, "City" TEXT, "Website" TEXT)
|
What is the website of the Laredo Sun in the city of Laredo ?
|
SELECT "Website" FROM table_70833 WHERE "City" = 'laredo' AND "Name" = 'laredo sun'
|
SELECT "Website" FROM "table_70833" WHERE "City" = 'laredo' AND "Name" = 'laredo sun'
| 0.083008 |
CREATE TABLE table_1012730_1 (wins INT, year VARCHAR)
|
How many wins happened in 1983?
|
SELECT MIN(wins) FROM table_1012730_1 WHERE year = 1983
|
SELECT MIN("wins") FROM "table_1012730_1" WHERE "year" = 1983
| 0.05957 |
CREATE TABLE table_64153 ("Date" TEXT, "Label" TEXT, "Format" TEXT, "Country" TEXT, "Catalog" TEXT)
|
What date had a CD format, under Columbia/Legacy from the UK?
|
SELECT "Date" FROM table_64153 WHERE "Format" = 'cd' AND "Label" = 'columbia/legacy' AND "Country" = 'uk'
|
SELECT "Date" FROM "table_64153" WHERE "Country" = 'uk' AND "Format" = 'cd' AND "Label" = 'columbia/legacy'
| 0.104492 |
CREATE TABLE table_23619212_1 (_percentage_of_all_immigrants_2007 VARCHAR, _percentage_of_all_immigrants_2005 VARCHAR)
|
How many different percentages of immigrants are there for the year of 2007 in the countries with 1.2% of the immigrants in the year of 2005?
|
SELECT COUNT(_percentage_of_all_immigrants_2007) FROM table_23619212_1 WHERE _percentage_of_all_immigrants_2005 = "1.2%"
|
SELECT COUNT("_percentage_of_all_immigrants_2007") FROM "table_23619212_1" WHERE "1.2%" = "_percentage_of_all_immigrants_2005"
| 0.123047 |
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 allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime 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 cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
|
when was the first time since 05/2102 patient 006-146580 was prescribed an aspirin and 2 ml vial : famotidine 10 mg/ml iv soln at the same time?
|
SELECT t1.drugstarttime FROM (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'aspirin' AND patient.uniquepid = '006-146580' AND STRFTIME('%y-%m', medication.drugstarttime) >= '2102-05') AS t1 JOIN (SELECT patient.uniquepid, medication.drugstarttime FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = '2 ml vial : famotidine 10 mg/ml iv soln' AND patient.uniquepid = '006-146580' AND STRFTIME('%y-%m', medication.drugstarttime) >= '2102-05') AS t2 ON t1.uniquepid = t2.uniquepid WHERE DATETIME(t1.drugstarttime) = DATETIME(t2.drugstarttime) ORDER BY t1.drugstarttime LIMIT 1
|
WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" AND "patient"."uniquepid" = '006-146580' WHERE "medication"."drugname" = '2 ml vial : famotidine 10 mg/ml iv soln' AND STRFTIME('%y-%m', "medication"."drugstarttime") >= '2102-05') SELECT "medication"."drugstarttime" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" AND "patient"."uniquepid" = '006-146580' JOIN "t2" AS "t2" ON "patient"."uniquepid" = "t2"."uniquepid" AND DATETIME("medication"."drugstarttime") = DATETIME("t2"."drugstarttime") WHERE "medication"."drugname" = 'aspirin' AND STRFTIME('%y-%m', "medication"."drugstarttime") >= '2102-05' ORDER BY "medication"."drugstarttime" NULLS FIRST LIMIT 1
| 0.81543 |
CREATE TABLE table_74020 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" TEXT, "Result" TEXT, "Candidates" TEXT)
|
What is the result for the district Maryland 7?
|
SELECT "Result" FROM table_74020 WHERE "District" = 'Maryland 7'
|
SELECT "Result" FROM "table_74020" WHERE "District" = 'Maryland 7'
| 0.064453 |
CREATE TABLE Faculty_Participates_in (FacID INT, actid INT)
CREATE TABLE Participates_in (stuid INT, actid INT)
CREATE TABLE Student (StuID INT, LName VARCHAR, Fname VARCHAR, Age INT, Sex VARCHAR, Major INT, Advisor INT, city_code VARCHAR)
CREATE TABLE Activity (actid INT, activity_name VARCHAR)
CREATE TABLE Faculty (FacID INT, Lname VARCHAR, Fname VARCHAR, Rank VARCHAR, Sex VARCHAR, Phone INT, Room VARCHAR, Building VARCHAR)
|
How many faculty members do we have for each rank? Show bar chart, and could you show x axis in asc order?
|
SELECT Rank, COUNT(Rank) FROM Faculty GROUP BY Rank ORDER BY Rank
|
SELECT "Rank", COUNT("Rank") FROM "Faculty" GROUP BY "Rank" ORDER BY "Rank" NULLS FIRST
| 0.084961 |
CREATE TABLE table_26616 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Location" TEXT, "Final Score" TEXT, "Attendance" FLOAT, "Record" TEXT)
|
When tiger-cats is the opponent what is the location?
|
SELECT "Location" FROM table_26616 WHERE "Opponent" = 'Tiger-Cats'
|
SELECT "Location" FROM "table_26616" WHERE "Opponent" = 'Tiger-Cats'
| 0.066406 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
|
Let me know the route of drug administration and short title of the procedure for patient with patient id 2560.
|
SELECT diagnoses.short_title, prescriptions.route FROM diagnoses INNER JOIN prescriptions ON diagnoses.hadm_id = prescriptions.hadm_id WHERE diagnoses.subject_id = "2560"
|
SELECT "diagnoses"."short_title", "prescriptions"."route" FROM "diagnoses" JOIN "prescriptions" ON "diagnoses"."hadm_id" = "prescriptions"."hadm_id" WHERE "2560" = "diagnoses"."subject_id"
| 0.183594 |
CREATE TABLE table_53918 ("Number & Name" TEXT, "Description" TEXT, "Livery" TEXT, "Owner ( s ) " TEXT, "Date" FLOAT)
|
What's the number & name for a description of lms fowler class 3f 0-6-0t?
|
SELECT "Number & Name" FROM table_53918 WHERE "Description" = 'lms fowler class 3f 0-6-0t'
|
SELECT "Number & Name" FROM "table_53918" WHERE "Description" = 'lms fowler class 3f 0-6-0t'
| 0.089844 |
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 intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
|
tell me the average hospital cost when there is coronary artery disease until 2104?
|
SELECT AVG(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.patientunitstayid IN (SELECT diagnosis.patientunitstayid FROM diagnosis WHERE diagnosis.diagnosisname = 'coronary artery disease')) AND STRFTIME('%y', cost.chargetime) <= '2104' GROUP BY cost.patienthealthsystemstayid) AS t1
|
WITH "_u_0" AS (SELECT "diagnosis"."patientunitstayid" FROM "diagnosis" WHERE "diagnosis"."diagnosisname" = 'coronary artery disease' GROUP BY "patientunitstayid"), "_u_1" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patienthealthsystemstayid"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "cost"."patienthealthsystemstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "cost"."chargetime") <= '2104' GROUP BY "cost"."patienthealthsystemstayid") SELECT AVG("t1"."c1") FROM "t1" AS "t1"
| 0.65332 |
CREATE TABLE table_name_96 (team VARCHAR, game VARCHAR)
|
What is Team, when Game is '32'?
|
SELECT team FROM table_name_96 WHERE game = 32
|
SELECT "team" FROM "table_name_96" WHERE "game" = 32
| 0.050781 |
CREATE TABLE table_29773532_21 (episode INT, share_16_39 VARCHAR)
|
Which episode had a share 16-19 of 23,22%?
|
SELECT MAX(episode) FROM table_29773532_21 WHERE share_16_39 = "23,22%"
|
SELECT MAX("episode") FROM "table_29773532_21" WHERE "23,22%" = "share_16_39"
| 0.075195 |
CREATE TABLE table_204_332 (id DECIMAL, "administrative\ area" TEXT, "area\ km2" DECIMAL, "area\ sq mi" DECIMAL, "population" DECIMAL, "administrative\ centre" TEXT)
|
how many times is edinburgh of the seven seas on the list ?
|
SELECT COUNT(*) FROM table_204_332 WHERE "administrative\ncentre" = 'edinburgh of the seven seas'
|
SELECT COUNT(*) FROM "table_204_332" WHERE "administrative\ncentre" = 'edinburgh of the seven seas'
| 0.09668 |
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE 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 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 airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare 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 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 code_description (code VARCHAR, description TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE 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)
|
what type of plane is an M80
|
SELECT DISTINCT aircraft_code FROM aircraft WHERE aircraft_code = 'M80'
|
SELECT DISTINCT "aircraft_code" FROM "aircraft" WHERE "aircraft_code" = 'M80'
| 0.075195 |
CREATE TABLE captain (Captain_ID INT, Name TEXT, Ship_ID INT, age TEXT, Class TEXT, Rank TEXT)
CREATE TABLE Ship (Ship_ID INT, Name TEXT, Type TEXT, Built_Year FLOAT, Class TEXT, Flag TEXT)
|
Show me the proportion of the flag of ships that are not steered by any captain with Midshipman rank using a pie chart.
|
SELECT Flag, COUNT(Flag) FROM Ship WHERE NOT Ship_ID IN (SELECT Ship_ID FROM captain WHERE Rank = 'Midshipman') GROUP BY Flag
|
SELECT "Flag", COUNT("Flag") FROM "Ship" WHERE NOT "Ship_ID" IN (SELECT "Ship_ID" FROM "captain" WHERE "Rank" = 'Midshipman') GROUP BY "Flag"
| 0.137695 |
CREATE TABLE table_14871601_1 (conceded INT, team VARCHAR)
|
What is the smallest conceded value for the team 12 De Octubre?
|
SELECT MIN(conceded) FROM table_14871601_1 WHERE team = "12 de Octubre"
|
SELECT MIN("conceded") FROM "table_14871601_1" WHERE "12 de Octubre" = "team"
| 0.075195 |
CREATE TABLE table_25374338_1 (song_choice VARCHAR, episode VARCHAR)
|
What is the song choice where the episode is Live Show 1?
|
SELECT song_choice FROM table_25374338_1 WHERE episode = "Live Show 1"
|
SELECT "song_choice" FROM "table_25374338_1" WHERE "Live Show 1" = "episode"
| 0.074219 |
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 PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress 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 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 PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE 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 ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE 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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
|
Average score for questions (of any status except community) from postswithdeleted.
|
SELECT YEAR(CreationDate) AS "year", (1.0 * SUM(Score)) / (1.0 * SUM(Score)) AS "avgscore", COUNT(*) AS "#" FROM Posts WHERE YEAR(CreationDate) >= 2009 AND CommunityOwnedDate IS NULL AND PostTypeId IN (1) GROUP BY YEAR(CreationDate) ORDER BY YEAR(CreationDate)
|
SELECT YEAR("CreationDate") AS "year", (1.0 * SUM("Score")) / NULLIF((1.0 * SUM("Score")), 0) AS "avgscore", COUNT(*) AS "#" FROM "Posts" WHERE "CommunityOwnedDate" IS NULL AND "PostTypeId" IN (1) AND YEAR("CreationDate") >= 2009 GROUP BY YEAR("CreationDate") ORDER BY YEAR("CreationDate") NULLS FIRST
| 0.293945 |
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
|
when did patient 017-88691 last have sodium maximum since 12/2105?
|
SELECT lab.labresulttime FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '017-88691')) AND lab.labname = 'sodium' AND STRFTIME('%y-%m', lab.labresulttime) >= '2105-12' ORDER BY lab.labresult DESC, lab.labresulttime DESC LIMIT 1
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '017-88691' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "lab"."labresulttime" FROM "lab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'sodium' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "lab"."labresulttime") >= '2105-12' ORDER BY "lab"."labresult" DESC NULLS LAST, "lab"."labresulttime" DESC NULLS LAST LIMIT 1
| 0.65625 |
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 food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE 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 equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE 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 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 class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
|
can i see ground transportation from LONG BEACH airport to downtown
|
SELECT DISTINCT ground_service.transport_type FROM airport, airport_service, city AS CITY_0, city AS CITY_1, ground_service WHERE airport.airport_code = airport_service.airport_code AND CITY_0.city_code = airport_service.city_code AND CITY_0.city_name = 'LONG BEACH' AND CITY_1.city_name = 'LONG BEACH' AND ground_service.airport_code = airport.airport_code AND ground_service.city_code = CITY_1.city_code
|
SELECT DISTINCT "ground_service"."transport_type" FROM "airport" JOIN "airport_service" ON "airport"."airport_code" = "airport_service"."airport_code" JOIN "ground_service" ON "airport"."airport_code" = "ground_service"."airport_code" JOIN "city" AS "CITY_0" ON "CITY_0"."city_code" = "airport_service"."city_code" AND "CITY_0"."city_name" = 'LONG BEACH' JOIN "city" AS "CITY_1" ON "CITY_1"."city_code" = "ground_service"."city_code" AND "CITY_1"."city_name" = 'LONG BEACH'
| 0.461914 |
CREATE TABLE table_20007 ("Position" FLOAT, "Team" TEXT, "Points" FLOAT, "Played" FLOAT, "Won" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "For" FLOAT, "Against" FLOAT, "Difference" TEXT)
|
Which team had 21 points?
|
SELECT "Team" FROM table_20007 WHERE "Points" = '21'
|
SELECT "Team" FROM "table_20007" WHERE "Points" = '21'
| 0.052734 |
CREATE TABLE table_name_9 (fumb_yds INT, fumb_f VARCHAR, int_lg VARCHAR)
|
Which Fumb Yds has a Fumb F. of 0, and a Int LG smaller than 0?
|
SELECT MAX(fumb_yds) FROM table_name_9 WHERE fumb_f = 0 AND int_lg < 0
|
SELECT MAX("fumb_yds") FROM "table_name_9" WHERE "fumb_f" = 0 AND "int_lg" < 0
| 0.076172 |
CREATE TABLE cinema (Cinema_ID INT, Name TEXT, Openning_year INT, Capacity INT, Location TEXT)
CREATE TABLE schedule (Cinema_ID INT, Film_ID INT, Date TEXT, Show_times_per_day INT, Price FLOAT)
CREATE TABLE film (Film_ID INT, Rank_in_series INT, Number_in_season INT, Title TEXT, Directed_by TEXT, Original_air_date TEXT, Production_code TEXT)
|
What is the sum of capacity of cinemas open for each year? Return a line chart, could you show in descending by the X-axis?
|
SELECT Openning_year, SUM(Capacity) FROM cinema ORDER BY Openning_year DESC
|
SELECT "Openning_year", SUM("Capacity") FROM "cinema" ORDER BY "Openning_year" DESC NULLS LAST
| 0.091797 |
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_prerequisite (pre_course_id INT, course_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 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 ta (campus_job_id INT, student_id INT, location 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 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 offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_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 comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
|
Can you highlight the courses that grant 12 credits upon completion ?
|
SELECT DISTINCT name, number FROM course WHERE credits = 12 AND department = 'EECS'
|
SELECT DISTINCT "name", "number" FROM "course" WHERE "credits" = 12 AND "department" = 'EECS'
| 0.09082 |
CREATE TABLE table_54162 ("Outcome" TEXT, "Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Opponent in the final" TEXT, "Score in the final" TEXT)
|
What is the outcome of the match against Sylvia Hanika on a hard (i) surface?
|
SELECT "Outcome" FROM table_54162 WHERE "Opponent in the final" = 'sylvia hanika' AND "Surface" = 'hard (i)'
|
SELECT "Outcome" FROM "table_54162" WHERE "Opponent in the final" = 'sylvia hanika' AND "Surface" = 'hard (i)'
| 0.107422 |
CREATE TABLE table_45244 ("Season" FLOAT, "Series" TEXT, "Team" TEXT, "Races" TEXT, "Wins" TEXT, "Poles" TEXT, "F/Laps" TEXT, "Podiums" TEXT, "Points" TEXT, "Position" TEXT)
|
What Position is Team Sahara Force india f1 team with 46 Points?
|
SELECT "Position" FROM table_45244 WHERE "Team" = 'sahara force india f1 team' AND "Points" = '46'
|
SELECT "Position" FROM "table_45244" WHERE "Points" = '46' AND "Team" = 'sahara force india f1 team'
| 0.097656 |
CREATE TABLE table_203_824 (id DECIMAL, "pick #" DECIMAL, "player" TEXT, "position" TEXT, "nationality" TEXT, "nhl team" TEXT, "college/junior/club team" TEXT)
|
which player is listed previous to joe reekie ?
|
SELECT "player" FROM table_203_824 WHERE id = (SELECT id FROM table_203_824 WHERE "player" = 'joe reekie') - 1
|
SELECT "player" FROM "table_203_824" WHERE "id" = (SELECT "id" FROM "table_203_824" WHERE "player" = 'joe reekie') - 1
| 0.115234 |
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)
|
find the number of patients whose diagnoses title is chrn chpt c wo hpat coma and drug type is main.
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SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Chrnc hpt C wo hpat coma" AND prescriptions.drug_type = "MAIN"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Chrnc hpt C wo hpat coma" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "MAIN" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id"
| 0.304688 |
CREATE TABLE stadium (id INT, name TEXT, Home_Games INT, Average_Attendance FLOAT, Total_Attendance FLOAT, Capacity_Percentage FLOAT)
CREATE TABLE game (stadium_id INT, id INT, Season INT, Date TEXT, Home_team TEXT, Away_team TEXT, Score TEXT, Competition TEXT)
CREATE TABLE injury_accident (game_id INT, id INT, Player TEXT, Injury TEXT, Number_of_matches TEXT, Source TEXT)
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List the number of games for each home team and group by away team in a stacked bar chart. The x-axis is home team.
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SELECT Home_team, COUNT(Home_team) FROM game GROUP BY Away_team, Home_team
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SELECT "Home_team", COUNT("Home_team") FROM "game" GROUP BY "Away_team", "Home_team"
| 0.082031 |
CREATE TABLE table_name_13 (start VARCHAR, laps VARCHAR, qual VARCHAR)
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Name the start with Laps of 199 with qual of 224.838
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SELECT start FROM table_name_13 WHERE laps = 199 AND qual = "224.838"
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SELECT "start" FROM "table_name_13" WHERE "224.838" = "qual" AND "laps" = 199
| 0.075195 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE 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)
|
how many patients with medicare insurance are diagnosed with icd9 code 2851?
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SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Medicare" AND diagnoses.icd9_code = "2851"
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SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "2851" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Medicare" = "demographic"."insurance"
| 0.212891 |
CREATE TABLE table_1341843_19 (district VARCHAR, incumbent VARCHAR)
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What district is F. Edward Hebert the incumbent in?
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SELECT district FROM table_1341843_19 WHERE incumbent = "F. Edward Hebert"
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SELECT "district" FROM "table_1341843_19" WHERE "F. Edward Hebert" = "incumbent"
| 0.078125 |
CREATE TABLE table_40271 ("Year" TEXT, "Team" TEXT, "Comp" TEXT, "Long" TEXT, "Rate" TEXT, "RAtt" TEXT, "RYds" TEXT, "RAvg" TEXT, "Lost" TEXT)
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What is the RYds when the RAtt was 2, and the comp is 41?
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SELECT "RYds" FROM table_40271 WHERE "RAtt" = '2' AND "Comp" = '41'
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SELECT "RYds" FROM "table_40271" WHERE "Comp" = '41' AND "RAtt" = '2'
| 0.067383 |
CREATE TABLE table_204_310 (id DECIMAL, "month" TEXT, "year" DECIMAL, "player" TEXT, "county" TEXT, "club" TEXT, "position" DECIMAL)
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eoin cadogan won in may 2009 , who won the month before ?
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SELECT "player" FROM table_204_310 WHERE "year" = 2009 AND "month" = 5 - 1
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SELECT "player" FROM "table_204_310" WHERE "month" = 4 AND "year" = 2009
| 0.070313 |
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