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For the game that had an end record of 2-4, who was the high points scorer?
CREATE TABLE table_name_69 ( high_points VARCHAR, record VARCHAR )
SELECT high_points FROM table_name_69 WHERE record = "2-4"
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provide the number of patients whose age is less than 27 and days of hospital stay is greater than 16?
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 procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.age < "27" AND demographic.days_stay > "16"
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Can you tell me Location Attendance that has the High points of andrew bogut (17)?
CREATE TABLE table_9910 ( "Game" real, "Date" text, "Team" text, "Score" text, "High points" text, "High assists" text, "Location Attendance" text, "Record" text )
SELECT "Location Attendance" FROM table_9910 WHERE "High points" = 'andrew bogut (17)'
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tell me the number of patients admitted before the year 2145 who have diagnoses icd9 code 58089.
CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) 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 )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2145" AND diagnoses.icd9_code = "58089"
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What episode number in the series originally aired on April 27, 1999?
CREATE TABLE table_228973_5 ( no_in_series INTEGER, original_air_date VARCHAR )
SELECT MAX(no_in_series) FROM table_228973_5 WHERE original_air_date = "April 27, 1999"
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Give me the comparison about meter_100 over the meter_600 , display X in descending order.
CREATE TABLE event ( ID int, Name text, Stadium_ID int, Year text ) CREATE TABLE stadium ( ID int, name text, Capacity int, City text, Country text, Opening_year int ) CREATE TABLE record ( ID int, Result text, Swimmer_ID int, Event_ID int ) CREATE TABLE swimmer ( ID int, name text, Nationality text, meter_100 real, meter_200 text, meter_300 text, meter_400 text, meter_500 text, meter_600 text, meter_700 text, Time text )
SELECT meter_600, meter_100 FROM swimmer ORDER BY meter_600 DESC
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Look for location and time of admission for the patient with patient id 22377.
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) 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 )
SELECT demographic.admission_location, demographic.admittime FROM demographic WHERE demographic.subject_id = "22377"
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Who was the presenter on Friday of the series in which Alice Levine Jamie East presented on Sunday?
CREATE TABLE table_11579 ( "Series" text, "Monday" text, "Tuesday" text, "Wednesday" text, "Thursday" text, "Friday" text, "Saturday" text, "Sunday" text )
SELECT "Friday" FROM table_11579 WHERE "Sunday" = 'alice levine jamie east'
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what is the venue when the runner-up is 20,000, the champion (average in final) is phil taylor (109.35)?
CREATE TABLE table_name_86 ( venue VARCHAR, runner_up VARCHAR, champion__average_in_final_ VARCHAR )
SELECT venue FROM table_name_86 WHERE runner_up = "£20,000" AND champion__average_in_final_ = "phil taylor (109.35)"
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hba1c 6.5 % _ _ 10 %
CREATE TABLE table_train_255 ( "id" int, "ldl_cholesterol" int, "hemoglobin_a1c_hba1c" float, "body_weight" float, "urine_albumin_to_creatinine_ratio_uacr" int, "hba1c" float, "body_mass_index_bmi" float, "triglyceride_tg" float, "age" float, "NOUSE" float )
SELECT * FROM table_train_255 WHERE hba1c >= 6.5 AND hemoglobin_a1c_hba1c <= 10
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Which season had a home 2-3?
CREATE TABLE table_name_2 (season VARCHAR, home VARCHAR)
SELECT season FROM table_name_2 WHERE home = "2-3"
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How many calories is 1 watt hour?
CREATE TABLE table_78629 ( "joule" text, "watt hour" text, "kilowatt hour" text, "electronvolt" text, "calorie" text )
SELECT "calorie" FROM table_78629 WHERE "watt hour" = '1'
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What is the average change to have a land area of 546.74 and a population density greater than 0.5?
CREATE TABLE table_name_51 ( change___percentage_ INTEGER, land_area__km²_ VARCHAR, population_density__per_km²_ VARCHAR )
SELECT AVG(change___percentage_) FROM table_name_51 WHERE land_area__km²_ = 546.74 AND population_density__per_km²_ > 0.5
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On October 17, 1937 what was maximum number or attendants.
CREATE TABLE table_72571 ( "Week" real, "Date" text, "Opponent" text, "Result" text, "Game site" text, "Record" text, "Attendance" real )
SELECT MAX("Attendance") FROM table_72571 WHERE "Date" = 'October 17, 1937'
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Which Reigns has 92 days held?
CREATE TABLE table_name_53 (reigns VARCHAR, days_held VARCHAR)
SELECT reigns FROM table_name_53 WHERE days_held = 92
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A bar chart for what are the number of the first names of all students in Smith Hall?
CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) CREATE TABLE Dorm_amenity ( amenid INTEGER, amenity_name VARCHAR(25) ) CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER ) CREATE TABLE Student ( StuID INTEGER, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER )
SELECT Fname, COUNT(Fname) FROM Student AS T1 JOIN Lives_in AS T2 ON T1.stuid = T2.stuid JOIN Dorm AS T3 ON T3.dormid = T2.dormid WHERE T3.dorm_name = 'Smith Hall' GROUP BY Fname
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From which country was Sodje loaned?
CREATE TABLE table_name_88 (country VARCHAR, name VARCHAR)
SELECT country FROM table_name_88 WHERE name = "sodje"
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What is the Region of the Warner Music Canada Label release?
CREATE TABLE table_name_29 ( region VARCHAR, label VARCHAR )
SELECT region FROM table_name_29 WHERE label = "warner music canada"
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What hand guard system is used with a gas piston commando?
CREATE TABLE table_12834315_5 ( hand_guards VARCHAR, name VARCHAR )
SELECT hand_guards FROM table_12834315_5 WHERE name = "Gas Piston Commando"
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What is the latest year that data is available for?
CREATE TABLE table_25414 ( "Year" real, "Majors" real, "ATP wins" real, "Total wins" real, "Earnings ($)" real, "Money list rank" real )
SELECT MAX("Year") FROM table_25414
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Provide the number of patients who were admitted before the year 2146 and had procedure short title as cardiopulm resuscita nos.
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 )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2146" AND procedures.short_title = "Cardiopulm resuscita NOS"
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What Entrant older than 1950 has points smaller than 7?
CREATE TABLE table_70206 ( "Year" real, "Entrant" text, "Chassis" text, "Engine" text, "Points" real )
SELECT "Entrant" FROM table_70206 WHERE "Year" > '1950' AND "Points" < '7'
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How many different cities do have some airport in the country of Greenland?
CREATE TABLE airlines ( alid number, name text, iata text, icao text, callsign text, country text, active text ) CREATE TABLE routes ( rid number, dst_apid number, dst_ap text, src_apid number, src_ap text, alid number, airline text, codeshare text ) CREATE TABLE airports ( apid number, name text, city text, country text, x number, y number, elevation number, iata text, icao text )
SELECT COUNT(DISTINCT city) FROM airports WHERE country = 'Greenland'
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give the number of patients under the age of 86 whose religion is unknown.
CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.religion = "UNOBTAINABLE" AND demographic.age < "86"
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What were the supersonics record at game 2?
CREATE TABLE table_28768469_5 (record VARCHAR, game VARCHAR)
SELECT record FROM table_28768469_5 WHERE game = 2
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What episode has a run time of 25:12?
CREATE TABLE table_name_51 ( episode VARCHAR, run_time VARCHAR )
SELECT episode FROM table_name_51 WHERE run_time = "25:12"
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What is the highest rank of an athlete from Switzerland in a heat larger than 3?
CREATE TABLE table_name_54 ( rank INTEGER, heat VARCHAR, nationality VARCHAR )
SELECT MAX(rank) FROM table_name_54 WHERE heat > 3 AND nationality = "switzerland"
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how many times did franz race with his simca 2.0 l engine ?
CREATE TABLE table_204_864 ( id number, "pos" number, "class" text, "no" number, "team" text, "drivers" text, "chassis" text, "engine" text )
SELECT COUNT(*) FROM table_204_864 WHERE "drivers" = 'franz hummel' AND "engine" = 'roc-simca 2.0l i4'
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Which Name had a Rank of 18 Out of a number smaller than 149?
CREATE TABLE table_40572 ( "Name" text, "Rank" real, "Out of" real, "Source" text, "Year" text )
SELECT "Name" FROM table_40572 WHERE "Out of" < '149' AND "Rank" = '18'
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Name the unemployment rate for botetourt
CREATE TABLE table_22815568_12 ( unemployment_rate VARCHAR, county VARCHAR )
SELECT unemployment_rate FROM table_22815568_12 WHERE county = "Botetourt"
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Name the first elected for abner j. mikva
CREATE TABLE table_1341672_14 ( first_elected VARCHAR, incumbent VARCHAR )
SELECT first_elected FROM table_1341672_14 WHERE incumbent = "Abner J. Mikva"
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What is the mean evening gown number when the average is 8.686?
CREATE TABLE table_11397 ( "State" text, "Interview" real, "Swimsuit" real, "Evening Gown" real, "Average" real )
SELECT AVG("Evening Gown") FROM table_11397 WHERE "Average" = '8.686'
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how many patients are born before 2049 and followed the procedure insertion of drug-eluting coronary artery stent(s)?
CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dob_year < "2049" AND procedures.long_title = "Insertion of drug-eluting coronary artery stent(s)"
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What is the Team with a Score that is w 101 97 (2ot)?
CREATE TABLE table_40501 ( "Game" real, "Date" text, "Team" text, "Score" text, "High points" text, "High rebounds" text, "Location Attendance" text, "Record" text )
SELECT "Team" FROM table_40501 WHERE "Score" = 'w 101–97 (2ot)'
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Which Opponent had a Surface of hard, and a Partner of maria elena camerin?
CREATE TABLE table_name_26 ( opponent VARCHAR, surface VARCHAR, partner VARCHAR )
SELECT opponent FROM table_name_26 WHERE surface = "hard" AND partner = "maria elena camerin"
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how many millions of spectator did has the episode whose prod.code was rp#213?
CREATE TABLE table_23117208_3 ( viewers__millions_ VARCHAR, prod_code VARCHAR )
SELECT viewers__millions_ FROM table_23117208_3 WHERE prod_code = "RP#213"
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Name the D 43 when it has D 46 of d 26
CREATE TABLE table_name_89 ( d_43_√ VARCHAR, d_46_√ VARCHAR )
SELECT d_43_√ FROM table_name_89 WHERE d_46_√ = "d 26"
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What opponent has a record of 6-9?
CREATE TABLE table_name_27 ( opponent VARCHAR, record VARCHAR )
SELECT opponent FROM table_name_27 WHERE record = "6-9"
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what is the highest fa cup goals when flt goals is more than 0?
CREATE TABLE table_name_96 ( fa_cup_goals INTEGER, flt_goals INTEGER )
SELECT MAX(fa_cup_goals) FROM table_name_96 WHERE flt_goals > 0
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Name the total number of wickets being yuvraj singh
CREATE TABLE table_72704 ( "Name" text, "Overs Bowled" text, "Maidens" real, "Runs Conceded" real, "Wickets" real, "Extras" real, "E.R." text )
SELECT COUNT("Wickets") FROM table_72704 WHERE "Name" = 'Yuvraj Singh'
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Show publishers with a book published in 1989 and a book in 1990.
CREATE TABLE book_club ( publisher VARCHAR, YEAR VARCHAR )
SELECT publisher FROM book_club WHERE YEAR = 1989 INTERSECT SELECT publisher FROM book_club WHERE YEAR = 1990
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What is the lowest overall number of hurricanes?
CREATE TABLE table_2930244_3 (number_of_hurricanes INTEGER)
SELECT MIN(number_of_hurricanes) FROM table_2930244_3
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What is the launched date of the station in cora huichol tepehuano nahuatl language?
CREATE TABLE table_39697 ( "Call sign" text, "Launched" text, "Transmitting from" text, "Coverage" text, "Languages" text, "Frequency" text )
SELECT "Launched" FROM table_39697 WHERE "Languages" = 'cora huichol tepehuano nahuatl'
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What is the rank of manager Rob Mcdonald?
CREATE TABLE table_1218784_1 ( rank VARCHAR, manager VARCHAR )
SELECT COUNT(rank) FROM table_1218784_1 WHERE manager = "Rob McDonald"
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What position does Christian Leibl-Cote play?
CREATE TABLE table_72145 ( "Pick #" real, "CFL Team" text, "Player" text, "Position" text, "College" text )
SELECT "Position" FROM table_72145 WHERE "Player" = 'Christian Leibl-Cote'
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What was the position of the Racing Organisation Course team?
CREATE TABLE table_67778 ( "Year" real, "Team" text, "Co-Drivers" text, "Class" text, "Laps" real, "Pos." text, "Class Pos." text )
SELECT "Pos." FROM table_67778 WHERE "Team" = 'racing organisation course'
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What is the total area of the Arkansas River outlet with a % in-state of a021 100%?
CREATE TABLE table_name_61 ( total_area VARCHAR, outlet VARCHAR, _percentage_in_state VARCHAR )
SELECT total_area FROM table_name_61 WHERE outlet = "arkansas river" AND _percentage_in_state = "a021 100%"
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Count the number of markets that have a number of cities lower than 300.
CREATE TABLE film_market_estimation ( estimation_id number, low_estimate number, high_estimate number, film_id number, type text, market_id number, year number ) CREATE TABLE film ( film_id number, title text, studio text, director text, gross_in_dollar number ) CREATE TABLE market ( market_id number, country text, number_cities number )
SELECT COUNT(*) FROM market WHERE number_cities < 300
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Name the 2006 with 2003 of a and 2012 of a
CREATE TABLE table_name_1 (Id VARCHAR)
SELECT 2006 FROM table_name_1 WHERE 2003 = "a" AND 2012 = "a"
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Which Place has a Player of lee trevino?
CREATE TABLE table_9564 ( "Place" text, "Player" text, "Country" text, "Score" text, "To par" text )
SELECT "Place" FROM table_9564 WHERE "Player" = 'lee trevino'
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How many rebounds have a Player of herb estes?
CREATE TABLE table_48226 ( "Rank" real, "Player" text, "Years" text, "Games" real, "Reb. Avg." real, "Total Rebounds" real )
SELECT COUNT("Total Rebounds") FROM table_48226 WHERE "Player" = 'herb estes'
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List the first and last names of all distinct staff members who are assigned to the problem whose id is 1.
CREATE TABLE problem_log (assigned_to_staff_id VARCHAR, problem_id VARCHAR); CREATE TABLE staff (staff_id VARCHAR)
SELECT DISTINCT staff_first_name, staff_last_name FROM staff AS T1 JOIN problem_log AS T2 ON T1.staff_id = T2.assigned_to_staff_id WHERE T2.problem_id = 1
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Which competition did the toronto city saints win?
CREATE TABLE table_25735_1 ( competition VARCHAR, winner VARCHAR )
SELECT competition FROM table_25735_1 WHERE winner = "Toronto City Saints"
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What is the nationality of the player from Vancouver Canucks?
CREATE TABLE table_1013129_3 (nationality VARCHAR, nhl_team VARCHAR)
SELECT nationality FROM table_1013129_3 WHERE nhl_team = "Vancouver Canucks"
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How many age figures for the player fired in week 6?
CREATE TABLE table_24501530_1 ( age VARCHAR, result VARCHAR )
SELECT COUNT(age) FROM table_24501530_1 WHERE result = "Fired in week 6"
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What country was the film made in that was made after 2011?
CREATE TABLE table_name_10 ( country VARCHAR, year INTEGER )
SELECT country FROM table_name_10 WHERE year > 2011
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Name the opponent for 9 november 1991
CREATE TABLE table_37066 ( "Date" text, "Opponent" text, "Venue" text, "Result" text, "Attendance" real )
SELECT "Opponent" FROM table_37066 WHERE "Date" = '9 november 1991'
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Failures larger than 0, and a Successes of 1 has what lowest partial failures?
CREATE TABLE table_name_64 ( partial_failures INTEGER, failures VARCHAR, successes VARCHAR )
SELECT MIN(partial_failures) FROM table_name_64 WHERE failures > 0 AND successes = 1
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Who was eliminated from the competition when pau proceed to the quarter final?
CREATE TABLE table_3969 ( "Proceed to Quarter-final" text, "Match points" text, "Aggregate score" text, "Points margin" real, "Eliminated from competition" text )
SELECT "Eliminated from competition" FROM table_3969 WHERE "Proceed to Quarter-final" = 'Pau'
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give me the number of patients whose religion is greek orthodox and diagnoses long title is physical restraints status?
CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.religion = "GREEK ORTHODOX" AND diagnoses.long_title = "Physical restraints status"
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What is the Atlantic Europe when age is 10,000 years?
CREATE TABLE table_22860_1 (atlantic_europe VARCHAR, age__before_ VARCHAR)
SELECT atlantic_europe FROM table_22860_1 WHERE age__before_ = "10,000 years"
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Return the name of the heaviest entrepreneur.
CREATE TABLE entrepreneur ( entrepreneur_id number, people_id number, company text, money_requested number, investor text ) CREATE TABLE people ( people_id number, name text, height number, weight number, date_of_birth text )
SELECT T2.name FROM entrepreneur AS T1 JOIN people AS T2 ON T1.people_id = T2.people_id ORDER BY T2.weight DESC LIMIT 1
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When alvin and the chipmunks meet frankenstein, what was the role?
CREATE TABLE table_name_99 ( role VARCHAR, title VARCHAR )
SELECT role FROM table_name_99 WHERE title = "alvin and the chipmunks meet frankenstein"
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Which barony contains a townland with an area 24 acres?
CREATE TABLE table_4286 ( "Townland" text, "Area( acres )" real, "Barony" text, "Civil parish" text, "Poor law union" text )
SELECT "Barony" FROM table_4286 WHERE "Area( acres )" = '24'
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What was the Tie no when the Home team was Ramsgate?
CREATE TABLE table_name_20 (tie_no VARCHAR, home_team VARCHAR)
SELECT tie_no FROM table_name_20 WHERE home_team = "ramsgate"
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What is the time for 18 laps and 5 grids?
CREATE TABLE table_name_52 (time VARCHAR, laps VARCHAR, grid VARCHAR)
SELECT time FROM table_name_52 WHERE laps = 18 AND grid = 5
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in how many years was the finish 7th ?
CREATE TABLE table_204_939 ( id number, "year" number, "chassis" text, "engine" text, "start" text, "finish" text )
SELECT COUNT("year") FROM table_204_939 WHERE "finish" = 7
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What is the total number of # Of Prefectural Votes, when # Of Seats Won is greater than 69, and when Leader is Yasuhiro Nakasone?
CREATE TABLE table_name_54 ( _number_of_prefectural_votes VARCHAR, _number_of_seats_won VARCHAR, leader VARCHAR )
SELECT COUNT(_number_of_prefectural_votes) FROM table_name_54 WHERE _number_of_seats_won > 69 AND leader = "yasuhiro nakasone"
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If team two is Lan s, what was the total number of points?
CREATE TABLE table_21071 ( "Team #1" text, "Points" text, "Team #2" text, "1st leg" text, "2nd leg" text )
SELECT COUNT("Points") FROM table_21071 WHERE "Team #2" = 'Lanús'
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What event had the opponent Ryan Bow?
CREATE TABLE table_name_89 ( event VARCHAR, opponent VARCHAR )
SELECT event FROM table_name_89 WHERE opponent = "ryan bow"
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What is the percent of republicans with 7/6 democrat/republican?
CREATE TABLE table_52942 ( "State ranked in partisan order" text, "Percentage Democrats" text, "Percentage Republicans" text, "Democratic/ Republican" text, "Democratic seat plurality" text )
SELECT "Percentage Republicans" FROM table_52942 WHERE "Democratic/ Republican" = '7/6'
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What year is the death for a birth of 1873 and higher than rank 28?
CREATE TABLE table_name_74 (death VARCHAR, birth VARCHAR, rank VARCHAR)
SELECT death FROM table_name_74 WHERE birth = 1873 AND rank > 28
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What is the score from the 21-27 Record?
CREATE TABLE table_name_96 ( score VARCHAR, record VARCHAR )
SELECT score FROM table_name_96 WHERE record = "21-27"
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Which category was Dev Patel nominated for?
CREATE TABLE table_name_61 ( category VARCHAR, winner_nominee_s_ VARCHAR )
SELECT category FROM table_name_61 WHERE winner_nominee_s_ = "dev patel"
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Name the opponent for december 8
CREATE TABLE table_17924362_1 (opponent VARCHAR, date VARCHAR)
SELECT opponent FROM table_17924362_1 WHERE date = "December 8"
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What circuit has qualifying as the session?
CREATE TABLE table_48642 ( "Discipline" text, "Circuit" text, "Event" text, "Session" text, "Cause" text )
SELECT "Circuit" FROM table_48642 WHERE "Session" = 'qualifying'
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what is the number of patients whose days of hospital stay is greater than 16 and procedure long title is continuous intra-arterial blood gas monitoring?
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE 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 )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "16" AND procedures.long_title = "Continuous intra-arterial blood gas monitoring"
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Show the number of debates for each person on the affirmative side in a bar chart, I want to list y-axis in ascending order.
CREATE TABLE debate ( Debate_ID int, Date text, Venue text, Num_of_Audience int ) CREATE TABLE people ( People_ID int, District text, Name text, Party text, Age int ) CREATE TABLE debate_people ( Debate_ID int, Affirmative int, Negative int, If_Affirmative_Win bool )
SELECT Name, COUNT(Name) FROM debate_people AS T1 JOIN debate AS T2 ON T1.Debate_ID = T2.Debate_ID JOIN people AS T3 ON T1.Affirmative = T3.People_ID GROUP BY Name ORDER BY COUNT(Name)
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When west indes was a holder at the end of the series for the 1991 season with an england greater than 1, what is the smallest west indies?
CREATE TABLE table_name_92 (west_indies INTEGER, season VARCHAR, holder_at_the_end_of_the_series VARCHAR, england VARCHAR)
SELECT MIN(west_indies) FROM table_name_92 WHERE holder_at_the_end_of_the_series = "west indies" AND england > 1 AND season = "1991"
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What is the lowest attendance when footscray is the away team?
CREATE TABLE table_name_61 (crowd INTEGER, away_team VARCHAR)
SELECT MIN(crowd) FROM table_name_61 WHERE away_team = "footscray"
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In Week 7, what is the highest attendance number?
CREATE TABLE table_43426 ( "Week" real, "Date" text, "Opponent" text, "Result" text, "Attendance" real )
SELECT MAX("Attendance") FROM table_43426 WHERE "Week" = '7'
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how many song title with artbeingt being chubby checker
CREATE TABLE table_13789248_2 ( song_title VARCHAR, artist VARCHAR )
SELECT COUNT(song_title) FROM table_13789248_2 WHERE artist = "Chubby Checker"
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Name the to par for score of 74-74-74-71=293
CREATE TABLE table_name_64 ( to_par VARCHAR, score VARCHAR )
SELECT to_par FROM table_name_64 WHERE score = 74 - 74 - 74 - 71 = 293
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What is the highest Games, when Rebounds is greater than 100, when Name is Nikola Peković, and when Rank is less than 4?
CREATE TABLE table_name_26 (games INTEGER, rank VARCHAR, rebounds VARCHAR, name VARCHAR)
SELECT MAX(games) FROM table_name_26 WHERE rebounds > 100 AND name = "nikola peković" AND rank < 4
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What is the Tie Number when Barnsley was the away team?
CREATE TABLE table_47603 ( "Tie no" text, "Home team" text, "Score" text, "Away team" text, "Date" text )
SELECT "Tie no" FROM table_47603 WHERE "Away team" = 'barnsley'
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What is the Home Team of the game against Seattle on June 1?
CREATE TABLE table_name_7 ( home_team VARCHAR, road_team VARCHAR, date VARCHAR )
SELECT home_team FROM table_name_7 WHERE road_team = "seattle" AND date = "june 1"
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For all employees who have the letters D or S in their first name, give me the comparison about the sum of department_id over the job_id , and group by attribute job_id, I want to show by the Y in desc.
CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) )
SELECT JOB_ID, SUM(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY SUM(DEPARTMENT_ID) DESC
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WHAT IS THE NATIONALITY FOR SOUTHWESTERN OKLAHOMA?
CREATE TABLE table_name_53 (nationality VARCHAR, college VARCHAR)
SELECT nationality FROM table_name_53 WHERE college = "southwestern oklahoma"
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Tell me the player for pick number less than 29 and mls team of chicago fire
CREATE TABLE table_name_97 (player VARCHAR, pick__number VARCHAR, mls_team VARCHAR)
SELECT player FROM table_name_97 WHERE pick__number < 29 AND mls_team = "chicago fire"
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Name the joined for blue hose
CREATE TABLE table_16168849_1 ( joined VARCHAR, nickname VARCHAR )
SELECT joined FROM table_16168849_1 WHERE nickname = "Blue Hose"
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What is the original air date of the episode written by Karen Felix and Don Woodard?
CREATE TABLE table_72210 ( "Series #" real, "Season #" real, "Title" text, "Directed by" text, "Written by" text, "Original air date" text, "Production code" real )
SELECT "Original air date" FROM table_72210 WHERE "Written by" = 'Karen Felix and Don Woodard'
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What is the lowest amount of gold a team with less than 2 total medals, ranked 17, and more than 0 silver medals, has?
CREATE TABLE table_name_62 (gold INTEGER, silver VARCHAR, total VARCHAR, rank VARCHAR)
SELECT MIN(gold) FROM table_name_62 WHERE total < 2 AND rank = 17 AND silver > 0
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count the number of patients whose gender is f and drug type is main?
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE 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 )
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.gender = "F" AND prescriptions.drug_type = "MAIN"
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What is the high total for players with over 15 solo tackles?
CREATE TABLE table_72059 ( "Player" text, "Solo" real, "Total" real, "Sacks" text, "Fumble force" real, "Fumble rec" real )
SELECT MAX("Total") FROM table_72059 WHERE "Solo" > '15'
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For all employees who have the letters D or S in their first name, return a bar chart about the distribution of job_id and the average of employee_id , and group by attribute job_id, show by the names in asc.
CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) )
SELECT JOB_ID, AVG(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY JOB_ID
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What date were Romania at Home at the Bucharest Venue with a Score of 13-19?
CREATE TABLE table_7706 ( "Year" real, "Date" text, "Home" text, "Score" text, "Away" text, "Venue" text )
SELECT "Date" FROM table_7706 WHERE "Home" = 'romania' AND "Venue" = 'bucharest' AND "Score" = '13-19'
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which game had the least number of people in attendance ?
CREATE TABLE table_204_146 ( id number, "tie" number, "home team" text, "score" text, "away team" text, "attendance" number )
SELECT "home team" FROM table_204_146 ORDER BY "attendance" LIMIT 1
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When was 11-8 the record?
CREATE TABLE table_63775 ( "Game" text, "Date" text, "Opponent" text, "Score" text, "Location Attendance" text, "Record" text )
SELECT "Date" FROM table_63775 WHERE "Record" = '11-8'
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Which Author's Company is Ruth Kanner Theatre Group?
CREATE TABLE table_62968 ( "play" text, "author" text, "company" text, "base" text, "country" text )
SELECT "author" FROM table_62968 WHERE "company" = 'ruth kanner theatre group'
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Which date has roma as opponent and a H/A of A?
CREATE TABLE table_77652 ( "Date" text, "Round" text, "Opponents" text, "H / A" text, "Result F\u2013A" text, "Attendance" real )
SELECT "Date" FROM table_77652 WHERE "Opponents" = 'roma' AND "H / A" = 'a'
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