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CREATE TABLE table_8543 ("Tournament" TEXT, "Surface" TEXT, "Week" TEXT, "Winner and score" TEXT, "Finalist" TEXT, "Semifinalists" TEXT)
|
Which Semifinalists have a Tournament of rome?
|
SELECT "Semifinalists" FROM table_8543 WHERE "Tournament" = 'rome'
|
SELECT "Semifinalists" FROM "table_8543" WHERE "Tournament" = 'rome'
| 0.066406 |
CREATE TABLE table_name_81 (in_state_area VARCHAR, outlet VARCHAR, basin VARCHAR)
|
What is the in-state area with an outlet of South Platte River and Big Thompson river as the basin?
|
SELECT in_state_area FROM table_name_81 WHERE outlet = "south platte river" AND basin = "big thompson river"
|
SELECT "in_state_area" FROM "table_name_81" WHERE "basin" = "big thompson river" AND "outlet" = "south platte river"
| 0.113281 |
CREATE TABLE table_49102 ("Year" TEXT, "League Position" TEXT, "League" TEXT, "Domestic Cup" TEXT, "Cup Position" TEXT)
|
What year had a domestic cup of singapore cup?
|
SELECT "Year" FROM table_49102 WHERE "Domestic Cup" = 'singapore cup'
|
SELECT "Year" FROM "table_49102" WHERE "Domestic Cup" = 'singapore cup'
| 0.069336 |
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)
|
what is the number of patients on main type drug prescription who had diagnoses of angioneurotic edema, not elsewhere classified?
|
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.long_title = "Angioneurotic edema, not elsewhere classified" AND prescriptions.drug_type = "MAIN"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Angioneurotic edema, not elsewhere classified" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "MAIN" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id"
| 0.324219 |
CREATE TABLE customers (customer_id DECIMAL, customer_first_name TEXT, customer_last_name TEXT, customer_address TEXT, customer_phone TEXT, customer_email TEXT, other_customer_details TEXT)
CREATE TABLE customers_cards (card_id DECIMAL, customer_id DECIMAL, card_type_code TEXT, card_number TEXT, date_valid_from TIME, date_valid_to TIME, other_card_details TEXT)
CREATE TABLE accounts (account_id DECIMAL, customer_id DECIMAL, account_name TEXT, other_account_details TEXT)
CREATE TABLE financial_transactions (transaction_id DECIMAL, previous_transaction_id DECIMAL, account_id DECIMAL, card_id DECIMAL, transaction_type TEXT, transaction_date TIME, transaction_amount DECIMAL, transaction_comment TEXT, other_transaction_details TEXT)
|
What are the codes of card types that have 5 or more cards?
|
SELECT card_type_code FROM customers_cards GROUP BY card_type_code HAVING COUNT(*) >= 5
|
SELECT "card_type_code" FROM "customers_cards" GROUP BY "card_type_code" HAVING COUNT(*) >= 5
| 0.09082 |
CREATE TABLE table_31433 ("Series #" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Viewers ( million ) " TEXT)
|
Who wrote 'yielding'?
|
SELECT "Written by" FROM table_31433 WHERE "Title" = 'Yielding'
|
SELECT "Written by" FROM "table_31433" WHERE "Title" = 'Yielding'
| 0.063477 |
CREATE TABLE table_42962 ("Year" FLOAT, "Result" FLOAT, "World Rank" TEXT, "Location" TEXT, "Date" TEXT)
|
Which Year has a Result smaller than 20.26, and a Location of eugene?
|
SELECT SUM("Year") FROM table_42962 WHERE "Result" < '20.26' AND "Location" = 'eugene'
|
SELECT SUM("Year") FROM "table_42962" WHERE "Location" = 'eugene' AND "Result" < '20.26'
| 0.085938 |
CREATE TABLE table_name_33 (total INT, player VARCHAR)
|
Average total for jim furyk?
|
SELECT AVG(total) FROM table_name_33 WHERE player = "jim furyk"
|
SELECT AVG("total") FROM "table_name_33" WHERE "jim furyk" = "player"
| 0.067383 |
CREATE TABLE stock (Shop_ID INT, Device_ID INT, Quantity INT)
CREATE TABLE device (Device_ID INT, Device TEXT, Carrier TEXT, Package_Version TEXT, Applications TEXT, Software_Platform TEXT)
CREATE TABLE shop (Shop_ID INT, Shop_Name TEXT, Location TEXT, Open_Date TEXT, Open_Year INT)
|
what are the different software platforms for devices, and how many devices have each?, and show by the bar in descending.
|
SELECT Software_Platform, COUNT(*) FROM device GROUP BY Software_Platform ORDER BY Software_Platform DESC
|
SELECT "Software_Platform", COUNT(*) FROM "device" GROUP BY "Software_Platform" ORDER BY "Software_Platform" DESC NULLS LAST
| 0.121094 |
CREATE TABLE table_32190 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
Who is the away side when st kilda is the home side?
|
SELECT "Away team" FROM table_32190 WHERE "Home team" = 'st kilda'
|
SELECT "Away team" FROM "table_32190" WHERE "Home team" = 'st kilda'
| 0.066406 |
CREATE TABLE department (department_id DECIMAL, name TEXT, creation TEXT, ranking DECIMAL, budget_in_billions DECIMAL, num_employees DECIMAL)
CREATE TABLE management (department_id DECIMAL, head_id DECIMAL, temporary_acting TEXT)
CREATE TABLE head (head_id DECIMAL, name TEXT, born_state TEXT, age DECIMAL)
|
How many departments are led by heads who are not mentioned?
|
SELECT COUNT(*) FROM department WHERE NOT department_id IN (SELECT department_id FROM management)
|
SELECT COUNT(*) FROM "department" WHERE NOT "department_id" IN (SELECT "department_id" FROM "management")
| 0.102539 |
CREATE TABLE table_49136 ("Event" TEXT, "Date" TEXT, "Round" TEXT, "Name" TEXT, "Nationality" TEXT, "Time" TEXT, "Record" TEXT)
|
What was the nationality of the swimmer in the semifinal with a time of 29.51?
|
SELECT "Nationality" FROM table_49136 WHERE "Round" = 'semifinal' AND "Time" = '29.51'
|
SELECT "Nationality" FROM "table_49136" WHERE "Round" = 'semifinal' AND "Time" = '29.51'
| 0.085938 |
CREATE TABLE table_16150 ("Country" TEXT, "Membership ( from 2010 ) " FLOAT, "Name of member organization" TEXT, "Year current Scouting organization joined WOSM" TEXT, "Year member organization was founded" TEXT, "Admits boys/girls" TEXT)
|
Which countries have a scouting organization that was founded in 1926, and joined WOSM in 1930?
|
SELECT "Country" FROM table_16150 WHERE "Year current Scouting organization joined WOSM" = '1930' AND "Year member organization was founded" = '1926'
|
SELECT "Country" FROM "table_16150" WHERE "Year current Scouting organization joined WOSM" = '1930' AND "Year member organization was founded" = '1926'
| 0.147461 |
CREATE TABLE table_name_47 (club VARCHAR, wins VARCHAR, losses VARCHAR, goals_for VARCHAR)
|
What club has less than 10 losses, less than 55 goals, and 13 wins?
|
SELECT club FROM table_name_47 WHERE losses < 10 AND goals_for < 55 AND wins = 13
|
SELECT "club" FROM "table_name_47" WHERE "goals_for" < 55 AND "losses" < 10 AND "wins" = 13
| 0.088867 |
CREATE TABLE table_46471 ("Round" FLOAT, "Name" TEXT, "Circuit" TEXT, "Date" TEXT, "Winning driver" TEXT, "Winning car" TEXT)
|
How many rounds had a race name of anglia tv trophy?
|
SELECT COUNT("Round") FROM table_46471 WHERE "Name" = 'anglia tv trophy'
|
SELECT COUNT("Round") FROM "table_46471" WHERE "Name" = 'anglia tv trophy'
| 0.072266 |
CREATE TABLE table_1669 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
|
What is the score when the game took place on January 18?
|
SELECT "Score" FROM table_1669 WHERE "Date" = 'January 18'
|
SELECT "Score" FROM "table_1669" WHERE "Date" = 'January 18'
| 0.058594 |
CREATE TABLE table_57252 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Attendance" FLOAT, "Record" TEXT, "Arena" TEXT, "Points" FLOAT)
|
What was the lowest Attendance for the Staples Center Arena when the Points were over 14?
|
SELECT MIN("Attendance") FROM table_57252 WHERE "Points" > '14' AND "Arena" = 'staples center'
|
SELECT MIN("Attendance") FROM "table_57252" WHERE "Arena" = 'staples center' AND "Points" > '14'
| 0.09375 |
CREATE TABLE table_name_81 (tyre VARCHAR, circuit VARCHAR)
|
What tyre was used in Kyalami?
|
SELECT tyre FROM table_name_81 WHERE circuit = "kyalami"
|
SELECT "tyre" FROM "table_name_81" WHERE "circuit" = "kyalami"
| 0.060547 |
CREATE TABLE table_name_21 (years VARCHAR, soap_opera VARCHAR, actor VARCHAR)
|
what is the years when the soap opera is glenroe and the actor is mick lally?
|
SELECT years FROM table_name_21 WHERE soap_opera = "glenroe" AND actor = "mick lally"
|
SELECT "years" FROM "table_name_21" WHERE "actor" = "mick lally" AND "glenroe" = "soap_opera"
| 0.09082 |
CREATE TABLE table_62535 ("Opposing Teams" TEXT, "Against" FLOAT, "Date" TEXT, "Venue" TEXT, "Status" TEXT)
|
Which Venue has Against of 25?
|
SELECT "Venue" FROM table_62535 WHERE "Against" = '25'
|
SELECT "Venue" FROM "table_62535" WHERE "Against" = '25'
| 0.054688 |
CREATE TABLE table_name_18 (tournament VARCHAR, partner VARCHAR)
|
In what Tournament was Janet Young a Partner?
|
SELECT tournament FROM table_name_18 WHERE partner = "janet young"
|
SELECT "tournament" FROM "table_name_18" WHERE "janet young" = "partner"
| 0.070313 |
CREATE TABLE table_73046 ("Stage" FLOAT, "Winner" TEXT, "General classification" TEXT, "Points classification" TEXT, "Mountains classification" TEXT, "Young rider classification" TEXT)
|
When thomas l fkvist is the general classification who is the winner?
|
SELECT "Winner" FROM table_73046 WHERE "General classification" = 'Thomas Löfkvist'
|
SELECT "Winner" FROM "table_73046" WHERE "General classification" = 'Thomas Löfkvist'
| 0.083008 |
CREATE TABLE table_1769 ("Branding" TEXT, "Callsign" TEXT, "Frequency" TEXT, "Power ( kW ) " TEXT, "Location" TEXT)
|
How many stations are called radyo5 101.9 news fm?
|
SELECT COUNT("Location") FROM table_1769 WHERE "Branding" = 'Radyo5 101.9 News FM'
|
SELECT COUNT("Location") FROM "table_1769" WHERE "Branding" = 'Radyo5 101.9 News FM'
| 0.082031 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
|
give me the number of patients whose admission type is newborn and item id is 51283?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "NEWBORN" AND lab.itemid = "51283"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51283" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "NEWBORN" = "demographic"."admission_type"
| 0.197266 |
CREATE TABLE table_262495_1 (nickname VARCHAR, undergraduate_enrollment VARCHAR)
|
When 9386 is the undergraduate enrollment what is the nickname?
|
SELECT nickname FROM table_262495_1 WHERE undergraduate_enrollment = 9386
|
SELECT "nickname" FROM "table_262495_1" WHERE "undergraduate_enrollment" = 9386
| 0.077148 |
CREATE TABLE table_108 ("Track #" FLOAT, "Song" TEXT, "Singers" TEXT, "Picturization" TEXT, "Length" TEXT, "Lyricist" TEXT)
|
What song has a length of 3:05?
|
SELECT "Song" FROM table_108 WHERE "Length" = '3:05'
|
SELECT "Song" FROM "table_108" WHERE "Length" = '3:05'
| 0.052734 |
CREATE TABLE table_27744976_10 (high_rebounds VARCHAR, date VARCHAR)
|
Who had highest rebounds during game on March 12?
|
SELECT high_rebounds FROM table_27744976_10 WHERE date = "March 12"
|
SELECT "high_rebounds" FROM "table_27744976_10" WHERE "March 12" = "date"
| 0.071289 |
CREATE TABLE table_name_35 (points INT, rank VARCHAR, draw VARCHAR)
|
What is the average number of points for a song ranked 2nd with a draw greater than 3?
|
SELECT AVG(points) FROM table_name_35 WHERE rank = "2nd" AND draw > 3
|
SELECT AVG("points") FROM "table_name_35" WHERE "2nd" = "rank" AND "draw" > 3
| 0.075195 |
CREATE TABLE table_name_99 (tries_against VARCHAR, try_bonus VARCHAR)
|
If the try bonus was 5 what was the try against score?
|
SELECT tries_against FROM table_name_99 WHERE try_bonus = "5"
|
SELECT "tries_against" FROM "table_name_99" WHERE "5" = "try_bonus"
| 0.06543 |
CREATE TABLE table_25386974_1 (f_laps VARCHAR, series VARCHAR)
|
How many f/laps did Pedro Nunes have when he was at the gp3 series?
|
SELECT f_laps FROM table_25386974_1 WHERE series = "GP3 series"
|
SELECT "f_laps" FROM "table_25386974_1" WHERE "GP3 series" = "series"
| 0.067383 |
CREATE TABLE table_name_27 (division INT, year INT)
|
What is the highest division for years earlier than 2011?
|
SELECT MAX(division) FROM table_name_27 WHERE year < 2011
|
SELECT MAX("division") FROM "table_name_27" WHERE "year" < 2011
| 0.061523 |
CREATE TABLE table_5021 ("Round" FLOAT, "Pick" FLOAT, "Player" TEXT, "Position" TEXT, "School/Club Team" TEXT)
|
What is the highest Round that has a Position of Tackle and the Player Fred Neilsen?
|
SELECT MAX("Round") FROM table_5021 WHERE "Position" = 'tackle' AND "Player" = 'fred neilsen'
|
SELECT MAX("Round") FROM "table_5021" WHERE "Player" = 'fred neilsen' AND "Position" = 'tackle'
| 0.092773 |
CREATE TABLE table_14835674_1 (introductory_phrase VARCHAR, original_airdate VARCHAR)
|
What was the inroductory phase for the episode that originally aired january 21?
|
SELECT introductory_phrase FROM table_14835674_1 WHERE original_airdate = "January 21"
|
SELECT "introductory_phrase" FROM "table_14835674_1" WHERE "January 21" = "original_airdate"
| 0.089844 |
CREATE TABLE table_48299 ("Outcome" TEXT, "Date" TEXT, "Location" TEXT, "Surface" TEXT, "Opponent in final" TEXT, "Score" TEXT)
|
What is Opponent In Final, when Surface is Hard, when Location is Wellington, New Zealand, and when Date is 6 February 2000?
|
SELECT "Opponent in final" FROM table_48299 WHERE "Surface" = 'hard' AND "Location" = 'wellington, new zealand' AND "Date" = '6 february 2000'
|
SELECT "Opponent in final" FROM "table_48299" WHERE "Date" = '6 february 2000' AND "Location" = 'wellington, new zealand' AND "Surface" = 'hard'
| 0.140625 |
CREATE TABLE table_74263 ("Player" TEXT, "Cap ( s ) " FLOAT, "Goal ( s ) " FLOAT, "International Debut" TEXT, "Club ( s ) " TEXT)
|
How many caps figures are there for Norwich City, Coventry City?
|
SELECT COUNT("Cap(s)") FROM table_74263 WHERE "Club(s)" = 'Norwich City, Coventry City'
|
SELECT COUNT("Cap(s)") FROM "table_74263" WHERE "Club(s)" = 'Norwich City, Coventry City'
| 0.086914 |
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name 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 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_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
what would be the average yearly number of patients diagnosed with toxic myopathy since 3 years ago?
|
SELECT AVG(t1.c1) FROM (SELECT COUNT(DISTINCT diagnoses_icd.hadm_id) AS c1 FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'toxic myopathy') AND DATETIME(diagnoses_icd.charttime) >= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY STRFTIME('%y', diagnoses_icd.charttime)) AS t1
|
WITH "t1" AS (SELECT COUNT(DISTINCT "diagnoses_icd"."hadm_id") AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'toxic myopathy' WHERE DATETIME("diagnoses_icd"."charttime") >= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY STRFTIME('%y', "diagnoses_icd"."charttime")) SELECT AVG("t1"."c1") FROM "t1" AS "t1"
| 0.399414 |
CREATE TABLE browser (id INT, name TEXT, market_share FLOAT)
CREATE TABLE accelerator_compatible_browser (accelerator_id INT, browser_id INT, compatible_since_year INT)
CREATE TABLE Web_client_accelerator (id INT, name TEXT, Operating_system TEXT, Client TEXT, Connection TEXT)
|
Draw a bar chart of operating system versus the total number
|
SELECT Operating_system, COUNT(*) FROM Web_client_accelerator GROUP BY Operating_system
|
SELECT "Operating_system", COUNT(*) FROM "Web_client_accelerator" GROUP BY "Operating_system"
| 0.09082 |
CREATE TABLE table_50356 ("Team" TEXT, "Head Coach" TEXT, "Team Captain" TEXT, "Kitmaker" TEXT, "Shirt sponsor" TEXT)
|
Who is the kitmaker for the team whose team captain is Robert Enke?
|
SELECT "Kitmaker" FROM table_50356 WHERE "Team Captain" = 'robert enke'
|
SELECT "Kitmaker" FROM "table_50356" WHERE "Team Captain" = 'robert enke'
| 0.071289 |
CREATE TABLE table_62697 ("Name" TEXT, "Position" TEXT, "League Apps" TEXT, "League Goals" FLOAT, "FA Cup Apps" TEXT, "FA Cup Goals" FLOAT, "League Cup Apps" TEXT, "League Cup Goals" FLOAT, "FLT Apps" TEXT, "FLT Goals" FLOAT, "Total Apps" TEXT, "Total Goals" FLOAT)
|
What is the league cup app with league cup goals more than 0?
|
SELECT "League Cup Apps" FROM table_62697 WHERE "League Cup Goals" > '0'
|
SELECT "League Cup Apps" FROM "table_62697" WHERE "League Cup Goals" > '0'
| 0.072266 |
CREATE TABLE lives_in (stuid DECIMAL, dormid DECIMAL, room_number DECIMAL)
CREATE TABLE dorm (dormid DECIMAL, dorm_name TEXT, student_capacity DECIMAL, gender TEXT)
CREATE TABLE dorm_amenity (amenid DECIMAL, amenity_name TEXT)
CREATE TABLE student (stuid DECIMAL, lname TEXT, fname TEXT, age DECIMAL, sex TEXT, major DECIMAL, advisor DECIMAL, city_code TEXT)
CREATE TABLE has_amenity (dormid DECIMAL, amenid DECIMAL)
|
Find the code of city where most of students are living in.
|
SELECT city_code FROM student GROUP BY city_code ORDER BY COUNT(*) DESC LIMIT 1
|
SELECT "city_code" FROM "student" GROUP BY "city_code" ORDER BY COUNT(*) DESC NULLS LAST LIMIT 1
| 0.09375 |
CREATE TABLE table_13638 ("Stage" TEXT, "Winner" TEXT, "General classification" TEXT, "Points classification" TEXT, "Mountains classification" TEXT, "Young rider classification" TEXT)
|
What's the mountains classification when the points classification is Alessandro Petacchi and the general classification is Danilo Di Luca?
|
SELECT "Mountains classification" FROM table_13638 WHERE "Points classification" = 'alessandro petacchi' AND "General classification" = 'danilo di luca'
|
SELECT "Mountains classification" FROM "table_13638" WHERE "General classification" = 'danilo di luca' AND "Points classification" = 'alessandro petacchi'
| 0.150391 |
CREATE TABLE teachers (firstname VARCHAR, classroom VARCHAR)
CREATE TABLE list (classroom VARCHAR)
|
Find the first names of the teachers that teach first grade.
|
SELECT DISTINCT T2.firstname FROM list AS T1 JOIN teachers AS T2 ON T1.classroom = T2.classroom WHERE grade = 1
|
SELECT DISTINCT "T2"."firstname" FROM "list" AS "T1" JOIN "teachers" AS "T2" ON "T1"."classroom" = "T2"."classroom" WHERE "grade" = 1
| 0.129883 |
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
|
what were the four most common diagnoses until 4 years ago?
|
SELECT t1.diagnosisname FROM (SELECT diagnosis.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnosis WHERE DATETIME(diagnosis.diagnosistime) <= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY diagnosis.diagnosisname) AS t1 WHERE t1.c1 <= 4
|
WITH "t1" AS (SELECT "diagnosis"."diagnosisname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnosis" WHERE DATETIME("diagnosis"."diagnosistime") <= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY "diagnosis"."diagnosisname") SELECT "t1"."diagnosisname" FROM "t1" AS "t1" WHERE "t1"."c1" <= 4
| 0.308594 |
CREATE TABLE table_name_62 (rank VARCHAR, player VARCHAR, wins VARCHAR)
|
What is the rank for bob murphy with under 4 wins?
|
SELECT COUNT(rank) FROM table_name_62 WHERE player = "bob murphy" AND wins < 4
|
SELECT COUNT("rank") FROM "table_name_62" WHERE "bob murphy" = "player" AND "wins" < 4
| 0.083984 |
CREATE TABLE table_67294 ("Name" TEXT, "Country" TEXT, "Status" TEXT, "Moving to" TEXT, "Transfer window" TEXT, "Transfer fee" TEXT)
|
What is the Country, when the Transfer fee is 'loan', and when the Name is Lynch?
|
SELECT "Country" FROM table_67294 WHERE "Transfer fee" = 'loan' AND "Name" = 'lynch'
|
SELECT "Country" FROM "table_67294" WHERE "Name" = 'lynch' AND "Transfer fee" = 'loan'
| 0.083984 |
CREATE TABLE table_name_73 (away_team VARCHAR, venue VARCHAR)
|
What is the away team's score at western oval?
|
SELECT away_team AS score FROM table_name_73 WHERE venue = "western oval"
|
SELECT "away_team" AS "score" FROM "table_name_73" WHERE "venue" = "western oval"
| 0.079102 |
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE 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)
|
is the value of the hematocrit, calculated of patient 2518 last measured on the current hospital visit greater than second to last measured on the current hospital visit?
|
SELECT (SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 2518 AND admissions.dischtime IS NULL) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'hematocrit, calculated') ORDER BY labevents.charttime DESC LIMIT 1) > (SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 2518 AND admissions.dischtime IS NULL) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'hematocrit, calculated') ORDER BY labevents.charttime DESC LIMIT 1 OFFSET 1)
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 2518 GROUP BY "hadm_id"), "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'hematocrit, calculated' GROUP BY "itemid") SELECT (SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL ORDER BY "labevents"."charttime" DESC NULLS LAST LIMIT 1) > (SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_0" AS "_u_3" ON "_u_3"."" = "labevents"."hadm_id" LEFT JOIN "_u_1" AS "_u_4" ON "_u_4"."" = "labevents"."itemid" WHERE NOT "_u_3"."" IS NULL AND NOT "_u_4"."" IS NULL ORDER BY "labevents"."charttime" DESC NULLS LAST LIMIT 1 OFFSET 1)
| 0.862305 |
CREATE TABLE table_203_200 (id DECIMAL, "region" TEXT, "seed" DECIMAL, "team" TEXT, "coach" TEXT, "finished" TEXT, "final opponent" TEXT, "score" TEXT)
|
who was the only champion ?
|
SELECT "team" FROM table_203_200 WHERE "finished" = 'champion'
|
SELECT "team" FROM "table_203_200" WHERE "finished" = 'champion'
| 0.0625 |
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
|
Unanswered [tsql] questions created in the last week.
|
SELECT p.Id AS "post_link", p.Tags, DATEDIFF(DAY, p.LastActivityDate, GETDATE()) AS DaysSinceActivity, COUNT(DISTINCT a.Id) AS Answers FROM Posts AS p JOIN PostTypes AS ptype ON p.PostTypeId = ptype.Id JOIN PostTags AS ptags ON p.Id = ptags.PostId JOIN Tags ON ptags.TagId = Tags.Id LEFT JOIN Posts AS a ON a.ParentId = p.Id WHERE ptype.Name = 'Question' AND Tags.TagName = 'tsql' AND p.AnswerCount = 0 AND DATEDIFF(DAY, p.CreationDate, GETDATE()) <= 7 GROUP BY p.Id, p.Tags, p.LastActivityDate, p.CreationDate ORDER BY p.CreationDate DESC
|
SELECT "p"."Id" AS "post_link", "p"."Tags", DATEDIFF(DAY, CAST("p"."LastActivityDate" AS DATETIME), CAST("DAY" AS DATETIME)) AS "DaysSinceActivity", COUNT(DISTINCT "a"."Id") AS "Answers" FROM "Posts" AS "p" LEFT JOIN "Posts" AS "a" ON "a"."ParentId" = "p"."Id" JOIN "PostTags" AS "ptags" ON "p"."Id" = "ptags"."PostId" JOIN "PostTypes" AS "ptype" ON "p"."PostTypeId" = "ptype"."Id" AND "ptype"."Name" = 'Question' JOIN "Tags" ON "Tags"."Id" = "ptags"."TagId" AND "Tags"."TagName" = 'tsql' WHERE "p"."AnswerCount" = 0 AND DATEDIFF(DAY, CAST("p"."CreationDate" AS DATETIME), CAST("DAY" AS DATETIME)) <= 7 GROUP BY "p"."Id", "p"."Tags", "p"."LastActivityDate", "p"."CreationDate" ORDER BY "p"."CreationDate" DESC NULLS LAST
| 0.703125 |
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom 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 cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
|
what was the last anion gap value when they visited the hospital first time for patient 69819?
|
SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 69819 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'anion gap') ORDER BY labevents.charttime DESC LIMIT 1
|
WITH "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'anion gap' GROUP BY "itemid") SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE "labevents"."hadm_id" IN (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 69819 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" NULLS FIRST LIMIT 1) AND NOT "_u_1"."" IS NULL ORDER BY "labevents"."charttime" DESC NULLS LAST LIMIT 1
| 0.518555 |
CREATE TABLE table_name_99 (country VARCHAR, to_par VARCHAR, score VARCHAR)
|
What is the Country of the Player with a To par of +1 and a Score of 72-71=143?
|
SELECT country FROM table_name_99 WHERE to_par = "+1" AND score = 72 - 71 = 143
|
SELECT "country" FROM "table_name_99" WHERE "+1" = "to_par" AND "score" = FALSE
| 0.077148 |
CREATE TABLE table_24051050_1 (challengers__female_ VARCHAR, episode VARCHAR)
|
Which female challengers featured in episode 28?
|
SELECT challengers__female_ FROM table_24051050_1 WHERE episode = 28
|
SELECT "challengers__female_" FROM "table_24051050_1" WHERE "episode" = 28
| 0.072266 |
CREATE TABLE table_22700 ("Album#" TEXT, "English Title" TEXT, "Chinese ( Traditional ) " TEXT, "Chinese ( Simplified ) " TEXT, "Release date" TEXT, "Label" TEXT)
|
Name the number of traditional chinese for album number 6th
|
SELECT COUNT("Chinese (Traditional)") FROM table_22700 WHERE "Album#" = '6th'
|
SELECT COUNT("Chinese (Traditional)") FROM "table_22700" WHERE "Album#" = '6th'
| 0.077148 |
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE 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)
|
have patient 77676 been given a procedure until 1 year ago?
|
SELECT COUNT(*) > 0 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 77676) AND DATETIME(procedures_icd.charttime) <= DATETIME(CURRENT_TIME(), '-1 year')
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 77676 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "procedures_icd" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "procedures_icd"."hadm_id" WHERE DATETIME("procedures_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-1 year') AND NOT "_u_0"."" IS NULL
| 0.335938 |
CREATE TABLE table_name_56 (inns VARCHAR, matches VARCHAR)
|
Matches of 127 has how many total number of inns?
|
SELECT COUNT(inns) FROM table_name_56 WHERE matches = 127
|
SELECT COUNT("inns") FROM "table_name_56" WHERE "matches" = 127
| 0.061523 |
CREATE TABLE table_2652 ("Outcome" TEXT, "Year" FLOAT, "Championship" TEXT, "Surface" TEXT, "Partner" TEXT, "Opponents" TEXT, "Score" TEXT)
|
What was the outcome in games where the score was 7-5, 2-6, [6-10]?
|
SELECT "Outcome" FROM table_2652 WHERE "Score" = '7-5, 2-6, [6-10]'
|
SELECT "Outcome" FROM "table_2652" WHERE "Score" = '7-5, 2-6, [6-10]'
| 0.067383 |
CREATE TABLE table_68758 ("Outcome" TEXT, "Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Opponent" TEXT, "Score" TEXT)
|
Which date has a Tournament of la quinta?
|
SELECT "Date" FROM table_68758 WHERE "Tournament" = 'la quinta'
|
SELECT "Date" FROM "table_68758" WHERE "Tournament" = 'la quinta'
| 0.063477 |
CREATE TABLE table_name_22 (result VARCHAR, competition VARCHAR)
|
What is the result of the competition of 2000 afc asian cup group stages?
|
SELECT result FROM table_name_22 WHERE competition = "2000 afc asian cup group stages"
|
SELECT "result" FROM "table_name_22" WHERE "2000 afc asian cup group stages" = "competition"
| 0.089844 |
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)
|
how many patients whose admission type is urgent and diagnoses long title is cholangitis?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "URGENT" AND diagnoses.long_title = "Cholangitis"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Cholangitis" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "URGENT" = "demographic"."admission_type"
| 0.223633 |
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE 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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE 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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE 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 diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
how much does a medical diagnosis of poisoning-barbiturates cost?
|
SELECT DISTINCT cost.cost FROM cost WHERE cost.event_type = 'diagnoses_icd' AND cost.event_id IN (SELECT diagnoses_icd.row_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'poisoning-barbiturates'))
|
WITH "_u_1" AS (SELECT "diagnoses_icd"."row_id" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'poisoning-barbiturates' GROUP BY "row_id") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "cost"."event_id" WHERE "cost"."event_type" = 'diagnoses_icd' AND NOT "_u_1"."" IS NULL
| 0.398438 |
CREATE TABLE table_29419 ("Pronoun" TEXT, "Present" TEXT, "1st" TEXT, "2nd" TEXT, "perfect" TEXT, "aorist" TEXT, "imperfect" TEXT, "pluperfect" TEXT)
|
When the present is mogu what is 1st?
|
SELECT "1st" FROM table_29419 WHERE "Present" = 'mogu'
|
SELECT "1st" FROM "table_29419" WHERE "Present" = 'mogu'
| 0.054688 |
CREATE TABLE table_name_71 (club VARCHAR, goals VARCHAR)
|
What club scored 143 goals?
|
SELECT club FROM table_name_71 WHERE goals = "143"
|
SELECT "club" FROM "table_name_71" WHERE "143" = "goals"
| 0.054688 |
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE 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 ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
|
select Body, Id,PostId,Text from Posts, Comments where Id=PostID.
|
SELECT Body, Posts.Id, Comments.PostId, Comments.Text FROM Posts, Comments WHERE Posts.Id = Comments.PostId ORDER BY Comments.Score LIMIT 5
|
SELECT "Body", "Posts"."Id", "Comments"."PostId", "Comments"."Text" FROM "Posts" JOIN "Comments" ON "Comments"."PostId" = "Posts"."Id" ORDER BY "Comments"."Score" NULLS FIRST LIMIT 5
| 0.177734 |
CREATE TABLE table_10399701_2 (class_aAA VARCHAR, class_a VARCHAR)
|
Who was Class AAA during the same year that Class A was (tie) Apple Springs/Texline?
|
SELECT class_aAA FROM table_10399701_2 WHERE class_a = "(tie) Apple Springs/Texline"
|
SELECT "class_aAA" FROM "table_10399701_2" WHERE "(tie) Apple Springs/Texline" = "class_a"
| 0.087891 |
CREATE TABLE table_name_73 (player VARCHAR, school_club_team VARCHAR)
|
Who is the player for the School/Club team in Georgia?
|
SELECT player FROM table_name_73 WHERE school_club_team = "georgia"
|
SELECT "player" FROM "table_name_73" WHERE "georgia" = "school_club_team"
| 0.071289 |
CREATE TABLE table_25736 ("Rank" FLOAT, "Team" TEXT, "Total Points" FLOAT, "2008-09 Points" FLOAT, "2007-08 Points" FLOAT, "2006-07 Points" FLOAT, "2005-06 Points" FLOAT)
|
If the points is 1, what is the total points minimum?
|
SELECT MIN("Total Points") FROM table_25736 WHERE "2005-06 Points" = '1'
|
SELECT MIN("Total Points") FROM "table_25736" WHERE "2005-06 Points" = '1'
| 0.072266 |
CREATE TABLE table_name_15 (season VARCHAR, opponent VARCHAR)
|
What season has roma as the opponent?
|
SELECT season FROM table_name_15 WHERE opponent = "roma"
|
SELECT "season" FROM "table_name_15" WHERE "opponent" = "roma"
| 0.060547 |
CREATE TABLE table_name_52 (year INT, rank VARCHAR)
|
What Year has a Rank of 12.0 12?
|
SELECT AVG(year) FROM table_name_52 WHERE rank = "12.0 12"
|
SELECT AVG("year") FROM "table_name_52" WHERE "12.0 12" = "rank"
| 0.0625 |
CREATE TABLE Maintenance_Contracts (maintenance_contract_id INT, maintenance_contract_company_id INT, contract_start_date DATETIME, contract_end_date DATETIME, other_contract_details VARCHAR)
CREATE TABLE Fault_Log (fault_log_entry_id INT, asset_id INT, recorded_by_staff_id INT, fault_log_entry_datetime DATETIME, fault_description VARCHAR, other_fault_details VARCHAR)
CREATE TABLE Third_Party_Companies (company_id INT, company_type VARCHAR, company_name VARCHAR, company_address VARCHAR, other_company_details VARCHAR)
CREATE TABLE Maintenance_Engineers (engineer_id INT, company_id INT, first_name VARCHAR, last_name VARCHAR, other_details VARCHAR)
CREATE TABLE Skills_Required_To_Fix (part_fault_id INT, skill_id INT)
CREATE TABLE Assets (asset_id INT, maintenance_contract_id INT, supplier_company_id INT, asset_details VARCHAR, asset_make VARCHAR, asset_model VARCHAR, asset_acquired_date DATETIME, asset_disposed_date DATETIME, other_asset_details VARCHAR)
CREATE TABLE Fault_Log_Parts (fault_log_entry_id INT, part_fault_id INT, fault_status VARCHAR)
CREATE TABLE Asset_Parts (asset_id INT, part_id INT)
CREATE TABLE Engineer_Skills (engineer_id INT, skill_id INT)
CREATE TABLE Engineer_Visits (engineer_visit_id INT, contact_staff_id INT, engineer_id INT, fault_log_entry_id INT, fault_status VARCHAR, visit_start_datetime DATETIME, visit_end_datetime DATETIME, other_visit_details VARCHAR)
CREATE TABLE Part_Faults (part_fault_id INT, part_id INT, fault_short_name VARCHAR, fault_description VARCHAR, other_fault_details VARCHAR)
CREATE TABLE Staff (staff_id INT, staff_name VARCHAR, gender VARCHAR, other_staff_details VARCHAR)
CREATE TABLE Skills (skill_id INT, skill_code VARCHAR, skill_description VARCHAR)
CREATE TABLE Parts (part_id INT, part_name VARCHAR, chargeable_yn VARCHAR, chargeable_amount VARCHAR, other_part_details VARCHAR)
|
A stacked bar about the number of faults for different fault description and fault status of all the faults recoreded in the logs, and show by the x-axis in desc.
|
SELECT fault_status, COUNT(fault_status) FROM Fault_Log AS T1 JOIN Fault_Log_Parts AS T2 ON T1.fault_log_entry_id = T2.fault_log_entry_id GROUP BY fault_description, fault_status ORDER BY fault_status DESC
|
SELECT "fault_status", COUNT("fault_status") FROM "Fault_Log" AS "T1" JOIN "Fault_Log_Parts" AS "T2" ON "T1"."fault_log_entry_id" = "T2"."fault_log_entry_id" GROUP BY "fault_description", "fault_status" ORDER BY "fault_status" DESC NULLS LAST
| 0.236328 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
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 hx traumatic fracture?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.short_title = "Hx traumatic fracture"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Hx traumatic fracture" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id"
| 0.1875 |
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE 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 patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
|
how many patients were prescribed lipitor in the same hospital visit after they had undergone a analgesics - narcotic analgesic, until 2102?
|
SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, treatment.treatmenttime, patient.patienthealthsystemstayid FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'analgesics - narcotic analgesic' AND STRFTIME('%y', treatment.treatmenttime) <= '2102') AS t1 JOIN (SELECT patient.uniquepid, medication.drugstarttime, patient.patienthealthsystemstayid FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE medication.drugname = 'lipitor' AND STRFTIME('%y', medication.drugstarttime) <= '2102') AS t2 WHERE t1.treatmenttime < t2.drugstarttime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid
|
WITH "t2" AS (SELECT "medication"."drugstarttime", "patient"."patienthealthsystemstayid" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" WHERE "medication"."drugname" = 'lipitor' AND STRFTIME('%y', "medication"."drugstarttime") <= '2102') SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" JOIN "t2" AS "t2" ON "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" AND "t2"."drugstarttime" > "treatment"."treatmenttime" WHERE "treatment"."treatmentname" = 'analgesics - narcotic analgesic' AND STRFTIME('%y', "treatment"."treatmenttime") <= '2102'
| 0.695313 |
CREATE TABLE table_48252 ("Country" TEXT, "Preliminary" FLOAT, "Interview" FLOAT, "Swimsuit" FLOAT, "Evening Gown" FLOAT, "Average" FLOAT)
|
What is the evening gown number when the average is more than 8.984 in Louisiana and the preliminary is more than 8.597?
|
SELECT COUNT("Evening Gown") FROM table_48252 WHERE "Average" > '8.984' AND "Country" = 'louisiana' AND "Preliminary" > '8.597'
|
SELECT COUNT("Evening Gown") FROM "table_48252" WHERE "Average" > '8.984' AND "Country" = 'louisiana' AND "Preliminary" > '8.597'
| 0.125977 |
CREATE TABLE table_9488 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" FLOAT, "Money ( $ ) " TEXT)
|
What was the TO par for the player who scored 70-68-74-70=282?
|
SELECT "To par" FROM table_9488 WHERE "Score" = '70-68-74-70=282'
|
SELECT "To par" FROM "table_9488" WHERE "Score" = '70-68-74-70=282'
| 0.06543 |
CREATE TABLE customers (customer_id DECIMAL, customer_details TEXT)
CREATE TABLE settlements (settlement_id DECIMAL, claim_id DECIMAL, date_claim_made TIME, date_claim_settled TIME, amount_claimed DECIMAL, amount_settled DECIMAL, customer_policy_id DECIMAL)
CREATE TABLE payments (payment_id DECIMAL, settlement_id DECIMAL, payment_method_code TEXT, date_payment_made TIME, amount_payment DECIMAL)
CREATE TABLE customer_policies (policy_id DECIMAL, customer_id DECIMAL, policy_type_code TEXT, start_date TIME, end_date TIME)
CREATE TABLE claims (claim_id DECIMAL, policy_id DECIMAL, date_claim_made TIME, date_claim_settled TIME, amount_claimed DECIMAL, amount_settled DECIMAL)
|
Find the claimed amount in the claim with the least amount settled. Show both the settlement amount and claim amount.
|
SELECT amount_settled, amount_claimed FROM claims ORDER BY amount_settled LIMIT 1
|
SELECT "amount_settled", "amount_claimed" FROM "claims" ORDER BY "amount_settled" NULLS FIRST LIMIT 1
| 0.098633 |
CREATE TABLE table_25030512_24 (candidates VARCHAR, first_elected VARCHAR)
|
Name the candidates for 1998
|
SELECT candidates FROM table_25030512_24 WHERE first_elected = "1998"
|
SELECT "candidates" FROM "table_25030512_24" WHERE "1998" = "first_elected"
| 0.073242 |
CREATE TABLE table_19893 ("Series Ep." TEXT, "Episode" FLOAT, "Netflix" TEXT, "Segment A" TEXT, "Segment B" TEXT, "Segment C" TEXT, "Segment D" TEXT)
|
What was segment D when segment B was jeans?
|
SELECT "Segment D" FROM table_19893 WHERE "Segment B" = 'Jeans'
|
SELECT "Segment D" FROM "table_19893" WHERE "Segment B" = 'Jeans'
| 0.063477 |
CREATE TABLE table_11431 ("Average population ( x 1000 ) " FLOAT, "Live births" FLOAT, "Deaths" TEXT, "Natural change" FLOAT, "Crude birth rate ( per 1000 ) " FLOAT, "Crude death rate ( per 1000 ) " FLOAT, "Natural change ( per 1000 ) " FLOAT)
|
what is the average crude death rate (per 1000) when the live births is less than 72,400, the crude birth rate (per 1000) is more than 10 and the average population (x1000) is 2,518?
|
SELECT AVG("Crude death rate (per 1000)") FROM table_11431 WHERE "Live births" < '72,400' AND "Crude birth rate (per 1000)" > '10' AND "Average population (x 1000)" = '2,518'
|
SELECT AVG("Crude death rate (per 1000)") FROM "table_11431" WHERE "Average population (x 1000)" = '2,518' AND "Crude birth rate (per 1000)" > '10' AND "Live births" < '72,400'
| 0.171875 |
CREATE TABLE table_43664 ("Player" TEXT, "Position" TEXT, "Round" FLOAT, "Pick" FLOAT, "NFL Club" TEXT)
|
What is the NFL club of the cornerback player with a pick greater than 63?
|
SELECT "NFL Club" FROM table_43664 WHERE "Pick" > '63' AND "Position" = 'cornerback'
|
SELECT "NFL Club" FROM "table_43664" WHERE "Pick" > '63' AND "Position" = 'cornerback'
| 0.083984 |
CREATE TABLE table_47269 ("Name" TEXT, "Years" TEXT, "League" FLOAT, "Scottish Cup" FLOAT, "League Cup" FLOAT, "Europe" FLOAT, "Total" FLOAT)
|
Which Total has a Name of alex mcleish category:articles with hcards, and a League smaller than 494?
|
SELECT AVG("Total") FROM table_47269 WHERE "Name" = 'alex mcleish category:articles with hcards' AND "League" < '494'
|
SELECT AVG("Total") FROM "table_47269" WHERE "League" < '494' AND "Name" = 'alex mcleish category:articles with hcards'
| 0.116211 |
CREATE TABLE table_name_20 (area_in_acres__ha_ VARCHAR, park_name VARCHAR)
|
What is the area in acres (ha) for the park bald eagle state park?
|
SELECT area_in_acres__ha_ FROM table_name_20 WHERE park_name = "bald eagle state park"
|
SELECT "area_in_acres__ha_" FROM "table_name_20" WHERE "bald eagle state park" = "park_name"
| 0.089844 |
CREATE TABLE table_72540 ("Celebrity" TEXT, "Famous for" TEXT, "Entered" TEXT, "Exited" TEXT, "Finished" TEXT)
|
Name the finished for exited of day 13
|
SELECT "Finished" FROM table_72540 WHERE "Exited" = 'Day 13'
|
SELECT "Finished" FROM "table_72540" WHERE "Exited" = 'Day 13'
| 0.060547 |
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR, DEPT_NAME VARCHAR, SCHOOL_CODE VARCHAR, EMP_NUM INT, DEPT_ADDRESS VARCHAR, DEPT_EXTENSION VARCHAR)
CREATE TABLE EMPLOYEE (EMP_NUM INT, EMP_LNAME VARCHAR, EMP_FNAME VARCHAR, EMP_INITIAL VARCHAR, EMP_JOBCODE VARCHAR, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE STUDENT (STU_NUM INT, STU_LNAME VARCHAR, STU_FNAME VARCHAR, STU_INIT VARCHAR, STU_DOB DATETIME, STU_HRS INT, STU_CLASS VARCHAR, STU_GPA FLOAT, STU_TRANSFER DECIMAL, DEPT_CODE VARCHAR, STU_PHONE VARCHAR, PROF_NUM INT)
CREATE TABLE COURSE (CRS_CODE VARCHAR, DEPT_CODE VARCHAR, CRS_DESCRIPTION VARCHAR, CRS_CREDIT FLOAT)
CREATE TABLE PROFESSOR (EMP_NUM INT, DEPT_CODE VARCHAR, PROF_OFFICE VARCHAR, PROF_EXTENSION VARCHAR, PROF_HIGH_DEGREE VARCHAR)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR, STU_NUM INT, ENROLL_GRADE VARCHAR)
CREATE TABLE CLASS (CLASS_CODE VARCHAR, CRS_CODE VARCHAR, CLASS_SECTION VARCHAR, CLASS_TIME VARCHAR, CLASS_ROOM VARCHAR, PROF_NUM INT)
|
Visualize a pie chart with how many students are in each department?
|
SELECT DEPT_CODE, COUNT(*) FROM STUDENT GROUP BY DEPT_CODE
|
SELECT "DEPT_CODE", COUNT(*) FROM "STUDENT" GROUP BY "DEPT_CODE"
| 0.0625 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE 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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
|
when did patient 002-39247 get admitted to the hospital via the hospital operating room for the last time during the last year?
|
SELECT patient.hospitaladmittime FROM patient WHERE patient.uniquepid = '002-39247' AND patient.hospitaladmitsource = 'operating room' AND DATETIME(patient.hospitaladmittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') ORDER BY patient.hospitaladmittime DESC LIMIT 1
|
SELECT "patient"."hospitaladmittime" FROM "patient" WHERE "patient"."hospitaladmitsource" = 'operating room' AND "patient"."uniquepid" = '002-39247' AND DATETIME("patient"."hospitaladmittime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') ORDER BY "patient"."hospitaladmittime" DESC NULLS LAST LIMIT 1
| 0.319336 |
CREATE TABLE table_85 ("Country" TEXT, "Players" FLOAT, "Standard" FLOAT, "Minor" FLOAT, "First title" FLOAT, "Last title" FLOAT)
|
What's the standard of the country who won its first title in 1992?
|
SELECT MAX("Standard") FROM table_85 WHERE "First title" = '1992'
|
SELECT MAX("Standard") FROM "table_85" WHERE "First title" = '1992'
| 0.06543 |
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime 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 allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
|
count the number of patients that have been diagnosed with bacteremia but did not return to the hospital during the same month since 2103.
|
SELECT (SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'bacteremia' AND STRFTIME('%y', diagnosis.diagnosistime) >= '2103') AS t1) - (SELECT COUNT(DISTINCT t2.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'bacteremia' AND STRFTIME('%y', diagnosis.diagnosistime) >= '2103') AS t2 JOIN patient ON t2.uniquepid = patient.uniquepid WHERE t2.diagnosistime < patient.hospitaladmittime AND STRFTIME('%y', patient.hospitaladmittime) >= '2103' AND DATETIME(t2.diagnosistime, 'start of month') = DATETIME(patient.hospitaladmittime, 'start of month'))
|
SELECT (SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'bacteremia' AND STRFTIME('%y', "diagnosis"."diagnosistime") >= '2103') - (SELECT COUNT(DISTINCT "patient_2"."uniquepid") FROM "diagnosis" JOIN "patient" AS "patient_2" ON "diagnosis"."patientunitstayid" = "patient_2"."patientunitstayid" JOIN "patient" ON "diagnosis"."diagnosistime" < "patient"."hospitaladmittime" AND "patient"."uniquepid" = "patient_2"."uniquepid" AND DATETIME("diagnosis"."diagnosistime", 'start of month') = DATETIME("patient"."hospitaladmittime", 'start of month') AND STRFTIME('%y', "patient"."hospitaladmittime") >= '2103' WHERE "diagnosis"."diagnosisname" = 'bacteremia' AND STRFTIME('%y', "diagnosis"."diagnosistime") >= '2103')
| 0.823242 |
CREATE TABLE table_name_44 (athlete VARCHAR, country VARCHAR)
|
Which athlete is from Norway?
|
SELECT athlete FROM table_name_44 WHERE country = "norway"
|
SELECT "athlete" FROM "table_name_44" WHERE "country" = "norway"
| 0.0625 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE 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)
|
provide the number of patients taking base type drug medication who were hospitalized for more than 2 days.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "2" AND prescriptions.drug_type = "BASE"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "BASE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "2" < "demographic"."days_stay"
| 0.217773 |
CREATE TABLE table_204_541 (id DECIMAL, "name" TEXT, "area" TEXT, "height" TEXT, "floors" DECIMAL, "year" DECIMAL)
|
which building has more floors than the landmark hotel ?
|
SELECT "name" FROM table_204_541 WHERE "floors" > (SELECT "floors" FROM table_204_541 WHERE "name" = 'the landmark hotel')
|
SELECT "name" FROM "table_204_541" WHERE "floors" > (SELECT "floors" FROM "table_204_541" WHERE "name" = 'the landmark hotel')
| 0.123047 |
CREATE TABLE table_203_781 (id DECIMAL, "year" DECIMAL, "competition" TEXT, "venue" TEXT, "position" TEXT, "notes" TEXT)
|
what number of competitions were held in 2010 ?
|
SELECT COUNT("competition") FROM table_203_781 WHERE "year" = 2010
|
SELECT COUNT("competition") FROM "table_203_781" WHERE "year" = 2010
| 0.066406 |
CREATE TABLE table_21131 ("Election" FLOAT, "Candidates fielded" FLOAT, "# of seats won" FLOAT, "Total votes" FLOAT, "% of popular vote" TEXT, "Place" TEXT)
|
How many percentages are listed for the election in 1983?
|
SELECT COUNT("% of popular vote") FROM table_21131 WHERE "Election" = '1983'
|
SELECT COUNT("% of popular vote") FROM "table_21131" WHERE "Election" = '1983'
| 0.076172 |
CREATE TABLE table_67079 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Decision" TEXT, "Attendance" FLOAT, "Record" TEXT)
|
Name the score for columbus visitor
|
SELECT "Score" FROM table_67079 WHERE "Visitor" = 'columbus'
|
SELECT "Score" FROM "table_67079" WHERE "Visitor" = 'columbus'
| 0.060547 |
CREATE TABLE table_name_92 (record VARCHAR, date VARCHAR)
|
On May 26, what was the team's record?
|
SELECT record FROM table_name_92 WHERE date = "may 26"
|
SELECT "record" FROM "table_name_92" WHERE "date" = "may 26"
| 0.058594 |
CREATE TABLE order_items (order_quantity INT)
|
What is the average amount of items ordered in each order?
|
SELECT AVG(order_quantity) FROM order_items
|
SELECT AVG("order_quantity") FROM "order_items"
| 0.045898 |
CREATE TABLE table_53208 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Record" TEXT)
|
What loss occurred on August 21?
|
SELECT "Loss" FROM table_53208 WHERE "Date" = 'august 21'
|
SELECT "Loss" FROM "table_53208" WHERE "Date" = 'august 21'
| 0.057617 |
CREATE TABLE table_19576 ("Year" FLOAT, "Enrollment" FLOAT, "Black ( % ) " TEXT, "White ( % ) " TEXT, "Hispanic ( % ) " TEXT, "Asian ( % ) " TEXT, "Free/reduced lunch ( % ) " TEXT)
|
What is the enrollment amount where Hispanic (%) is 3.6?
|
SELECT "Enrollment" FROM table_19576 WHERE "Hispanic (%)" = '3.6'
|
SELECT "Enrollment" FROM "table_19576" WHERE "Hispanic (%)" = '3.6'
| 0.06543 |
CREATE TABLE table_29954 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
|
How many high assists where there for the team of caja laboral?
|
SELECT COUNT("High assists") FROM table_29954 WHERE "Team" = 'Caja Laboral'
|
SELECT COUNT("High assists") FROM "table_29954" WHERE "Team" = 'Caja Laboral'
| 0.075195 |
CREATE TABLE table_245800_2 (crew VARCHAR, flight_up VARCHAR)
|
Who were the crews on the flight up of Soyuz T-3?
|
SELECT crew FROM table_245800_2 WHERE flight_up = "Soyuz T-3"
|
SELECT "crew" FROM "table_245800_2" WHERE "Soyuz T-3" = "flight_up"
| 0.06543 |
CREATE TABLE table_name_87 (original_air_date VARCHAR, written_by VARCHAR, title VARCHAR)
|
When did Boyd Hale's Julie gets Validated originally air?
|
SELECT original_air_date FROM table_name_87 WHERE written_by = "boyd hale" AND title = "julie gets validated"
|
SELECT "original_air_date" FROM "table_name_87" WHERE "boyd hale" = "written_by" AND "julie gets validated" = "title"
| 0.114258 |
CREATE TABLE table_204_794 (id DECIMAL, "iec\ world plugs\ Type" TEXT, "standard" TEXT, "power\ rating" TEXT, "earthed" TEXT, "polarised" TEXT, "fused" TEXT, "insulated\ pins" TEXT, "europlug\ compatible" TEXT)
|
what is the last power rating on the chart ?
|
SELECT "power\nrating" FROM table_204_794 ORDER BY id DESC LIMIT 1
|
SELECT "power\nrating" FROM "table_204_794" ORDER BY "id" DESC NULLS LAST LIMIT 1
| 0.079102 |
CREATE TABLE table_8857 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
|
Which team did they play on March 11?
|
SELECT "Team" FROM table_8857 WHERE "Date" = 'march 11'
|
SELECT "Team" FROM "table_8857" WHERE "Date" = 'march 11'
| 0.055664 |
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