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CREATE TABLE table_66557 ("Season" TEXT, "Games" TEXT, "Lost" TEXT, "Tied" TEXT, "Points" TEXT, "Goals for" TEXT, "Goals against" TEXT, "Standing" TEXT)
|
What's the points if the goals against were 222?
|
SELECT "Points" FROM table_66557 WHERE "Goals against" = '222'
|
SELECT "Points" FROM "table_66557" WHERE "Goals against" = '222'
| 0.0625 |
CREATE TABLE table_62938 ("Opposing Team" TEXT, "Against" FLOAT, "Date" TEXT, "Venue" TEXT, "Round" TEXT)
|
What round was on 11/11/1992?
|
SELECT "Round" FROM table_62938 WHERE "Date" = '11/11/1992'
|
SELECT "Round" FROM "table_62938" WHERE "Date" = '11/11/1992'
| 0.05957 |
CREATE TABLE table_60185 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT)
|
What is the to par of player peter senior?
|
SELECT "To par" FROM table_60185 WHERE "Player" = 'peter senior'
|
SELECT "To par" FROM "table_60185" WHERE "Player" = 'peter senior'
| 0.064453 |
CREATE TABLE table_name_51 (attendance INT, opponent VARCHAR, week VARCHAR)
|
What is the Attendance with Opponent Dallas Cowboys in a Week greater than 5?
|
SELECT SUM(attendance) FROM table_name_51 WHERE opponent = "dallas cowboys" AND week > 5
|
SELECT SUM("attendance") FROM "table_name_51" WHERE "dallas cowboys" = "opponent" AND "week" > 5
| 0.09375 |
CREATE TABLE table_62141 ("Position" FLOAT, "Club" TEXT, "Played" FLOAT, "Points" FLOAT, "Wins" FLOAT, "Draws" FLOAT, "Losses" FLOAT, "Goals for" FLOAT, "Goals against" FLOAT, "Goal Difference" FLOAT)
|
What is the sum of the points of the club with more than 34 played?
|
SELECT SUM("Points") FROM table_62141 WHERE "Played" > '34'
|
SELECT SUM("Points") FROM "table_62141" WHERE "Played" > '34'
| 0.05957 |
CREATE TABLE table_203_497 (id DECIMAL, "rank" DECIMAL, "nation" TEXT, "gold" DECIMAL, "silver" DECIMAL, "bronze" DECIMAL, "total" DECIMAL)
|
what was the only nation to win less than 10 medals total ?
|
SELECT "nation" FROM table_203_497 WHERE "total" < 10
|
SELECT "nation" FROM "table_203_497" WHERE "total" < 10
| 0.053711 |
CREATE TABLE table_name_75 (thai_name VARCHAR, abbr VARCHAR)
|
What is the Thai name for the word abbreviated . .?
|
SELECT thai_name FROM table_name_75 WHERE abbr = "มี.ค."
|
SELECT "thai_name" FROM "table_name_75" WHERE "abbr" = "มี.ค."
| 0.060547 |
CREATE TABLE table_38870 ("Model" TEXT, "Years" TEXT, "Engine" TEXT, "Displ." TEXT, "Power" TEXT, "Torque" TEXT)
|
What is the engine for model 2.0 bitdi (cr) dpf, with a Torque of n m (lb ft) @ 1500 2000 rpm?
|
SELECT "Engine" FROM table_38870 WHERE "Model" = '2.0 bitdi (cr) dpf' AND "Torque" = 'n·m (lb·ft) @ 1500–2000 rpm'
|
SELECT "Engine" FROM "table_38870" WHERE "Model" = '2.0 bitdi (cr) dpf' AND "Torque" = 'n·m (lb·ft) @ 1500–2000 rpm'
| 0.113281 |
CREATE TABLE table_name_68 (result VARCHAR, date VARCHAR)
|
Tell me the result of july 16, 2000
|
SELECT result FROM table_name_68 WHERE date = "july 16, 2000"
|
SELECT "result" FROM "table_name_68" WHERE "date" = "july 16, 2000"
| 0.06543 |
CREATE TABLE film (Film_ID INT, Title TEXT, Studio TEXT, Director TEXT, Gross_in_dollar INT)
CREATE TABLE film_market_estimation (Estimation_ID INT, Low_Estimate FLOAT, High_Estimate FLOAT, Film_ID INT, Type TEXT, Market_ID INT, Year INT)
CREATE TABLE market (Market_ID INT, Country TEXT, Number_cities INT)
|
List the studios of each film and the number of films produced by that studio by a bar chart.
|
SELECT Studio, COUNT(*) FROM film GROUP BY Studio
|
SELECT "Studio", COUNT(*) FROM "film" GROUP BY "Studio"
| 0.053711 |
CREATE TABLE table_name_48 (chassis VARCHAR, season VARCHAR)
|
What was the winning car's chassis for the 1982 season?
|
SELECT chassis FROM table_name_48 WHERE season = "1982"
|
SELECT "chassis" FROM "table_name_48" WHERE "1982" = "season"
| 0.05957 |
CREATE TABLE table_204_193 (id DECIMAL, "year" DECIMAL, "artist" TEXT, "album" TEXT, "chart position" TEXT, "role" TEXT)
|
who is the artist listed before ben e. king ?
|
SELECT "artist" FROM table_204_193 WHERE id = (SELECT id FROM table_204_193 WHERE "artist" = 'ben e. king') - 1
|
SELECT "artist" FROM "table_204_193" WHERE "id" = (SELECT "id" FROM "table_204_193" WHERE "artist" = 'ben e. king') - 1
| 0.116211 |
CREATE TABLE table_45130 ("Rank" FLOAT, "Company" TEXT, "Headquarters" TEXT, "Industry" TEXT, "Sales ( billion $ ) " FLOAT, "Profits ( billion $ ) " FLOAT, "Assets ( billion $ ) " FLOAT, "Market Value ( billion $ ) " FLOAT)
|
What is the average sales in billions of walmart, which has more than 15.7 billion in profits?
|
SELECT AVG("Sales (billion $)") FROM table_45130 WHERE "Company" = 'walmart' AND "Profits (billion $)" > '15.7'
|
SELECT AVG("Sales (billion $)") FROM "table_45130" WHERE "Company" = 'walmart' AND "Profits (billion $)" > '15.7'
| 0.110352 |
CREATE TABLE table_name_45 (drawn INT, lost VARCHAR)
|
What is the sum of the drawn values for teams with 2 losses?
|
SELECT SUM(drawn) FROM table_name_45 WHERE lost = 2
|
SELECT SUM("drawn") FROM "table_name_45" WHERE "lost" = 2
| 0.055664 |
CREATE TABLE writer (wid INT, gender TEXT, name TEXT, nationality TEXT, birth_city TEXT, birth_year INT)
CREATE TABLE cast (id INT, msid INT, aid INT, role TEXT)
CREATE TABLE copyright (id INT, msid INT, cid INT)
CREATE TABLE director (did INT, gender TEXT, name TEXT, nationality TEXT, birth_city TEXT, birth_year INT)
CREATE TABLE made_by (id INT, msid INT, pid INT)
CREATE TABLE genre (gid INT, genre TEXT)
CREATE TABLE tags (id INT, msid INT, kid INT)
CREATE TABLE written_by (id INT, msid INT, wid INT)
CREATE TABLE producer (pid INT, gender TEXT, name TEXT, nationality TEXT, birth_city TEXT, birth_year INT)
CREATE TABLE keyword (id INT, keyword TEXT)
CREATE TABLE tv_series (sid INT, title TEXT, release_year INT, num_of_seasons INT, num_of_episodes INT, title_aka TEXT, budget TEXT)
CREATE TABLE movie (mid INT, title TEXT, release_year INT, title_aka TEXT, budget TEXT)
CREATE TABLE company (id INT, name TEXT, country_code VARCHAR)
CREATE TABLE classification (id INT, msid INT, gid INT)
CREATE TABLE actor (aid INT, gender TEXT, name TEXT, nationality TEXT, birth_city TEXT, birth_year INT)
CREATE TABLE directed_by (id INT, msid INT, did INT)
|
What is the nationality of ' Kevin Spacey ' ?
|
SELECT nationality FROM writer WHERE name = 'Kevin Spacey'
|
SELECT "nationality" FROM "writer" WHERE "name" = 'Kevin Spacey'
| 0.0625 |
CREATE TABLE technician (Name VARCHAR, Age VARCHAR)
|
Show the name of technicians aged either 36 or 37
|
SELECT Name FROM technician WHERE Age = 36 OR Age = 37
|
SELECT "Name" FROM "technician" WHERE "Age" = 36 OR "Age" = 37
| 0.060547 |
CREATE TABLE drivers (driverid VARCHAR, forename VARCHAR)
CREATE TABLE results (raceid VARCHAR, driverid VARCHAR)
CREATE TABLE races (name VARCHAR, year VARCHAR, raceid VARCHAR)
|
Give me a list of names and years of races that had any driver whose forename is Lewis?
|
SELECT T2.name, T2.year FROM results AS T1 JOIN races AS T2 ON T1.raceid = T2.raceid JOIN drivers AS T3 ON T1.driverid = T3.driverid WHERE T3.forename = "Lewis"
|
SELECT "T2"."name", "T2"."year" FROM "results" AS "T1" JOIN "races" AS "T2" ON "T1"."raceid" = "T2"."raceid" JOIN "drivers" AS "T3" ON "Lewis" = "T3"."forename" AND "T1"."driverid" = "T3"."driverid"
| 0.193359 |
CREATE TABLE Catalog_Contents (catalog_entry_name VARCHAR, capacity VARCHAR, price_in_dollars INT)
|
Find the name and capacity of products with price greater than 700 (in USD).
|
SELECT catalog_entry_name, capacity FROM Catalog_Contents WHERE price_in_dollars > 700
|
SELECT "catalog_entry_name", "capacity" FROM "Catalog_Contents" WHERE "price_in_dollars" > 700
| 0.091797 |
CREATE TABLE table_name_70 (blagojevich__d_ VARCHAR, source VARCHAR, date VARCHAR)
|
Which Blagojevich (D) has a Source of zogby/wsj, and a Date of october 16, 2006?
|
SELECT blagojevich__d_ FROM table_name_70 WHERE source = "zogby/wsj" AND date = "october 16, 2006"
|
SELECT "blagojevich__d_" FROM "table_name_70" WHERE "date" = "october 16, 2006" AND "source" = "zogby/wsj"
| 0.103516 |
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 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 medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE 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 treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
|
tell me the five most frequent lab test that was ordered since 2101?
|
SELECT t1.labname FROM (SELECT lab.labname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM lab WHERE STRFTIME('%y', lab.labresulttime) >= '2101' GROUP BY lab.labname) AS t1 WHERE t1.c1 <= 5
|
WITH "t1" AS (SELECT "lab"."labname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "lab" WHERE STRFTIME('%y', "lab"."labresulttime") >= '2101' GROUP BY "lab"."labname") SELECT "t1"."labname" FROM "t1" AS "t1" WHERE "t1"."c1" <= 5
| 0.245117 |
CREATE TABLE table_name_39 (result VARCHAR, game_site VARCHAR, opponent VARCHAR)
|
What's the result at psinet stadium when the cincinnati bengals are the opponent?
|
SELECT result FROM table_name_39 WHERE game_site = "psinet stadium" AND opponent = "cincinnati bengals"
|
SELECT "result" FROM "table_name_39" WHERE "cincinnati bengals" = "opponent" AND "game_site" = "psinet stadium"
| 0.108398 |
CREATE TABLE table_29141354_2 (first_broadcast VARCHAR, episode VARCHAR)
|
When was episode 02x07 first broadcast?
|
SELECT first_broadcast FROM table_29141354_2 WHERE episode = "02x07"
|
SELECT "first_broadcast" FROM "table_29141354_2" WHERE "02x07" = "episode"
| 0.072266 |
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE 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 lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
|
how many patients were diagnosed with sepsis in hospital and didn't come back to the hospital in the same month until 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 = 'sepsis' 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 = 'sepsis' 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" = 'sepsis' 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" = 'sepsis' AND STRFTIME('%y', "diagnosis"."diagnosistime") <= '2103')
| 0.81543 |
CREATE TABLE table_60810 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Results" TEXT)
|
What party has the South Carolina 2 district?
|
SELECT "Party" FROM table_60810 WHERE "District" = 'south carolina 2'
|
SELECT "Party" FROM "table_60810" WHERE "District" = 'south carolina 2'
| 0.069336 |
CREATE TABLE table_name_25 (series_premiere VARCHAR, tv_network_s_ VARCHAR)
|
Which series premiered on Acasa TV?
|
SELECT series_premiere FROM table_name_25 WHERE tv_network_s_ = "acasa tv"
|
SELECT "series_premiere" FROM "table_name_25" WHERE "acasa tv" = "tv_network_s_"
| 0.078125 |
CREATE TABLE table_14253 ("Rank" TEXT, "Province" TEXT, "Population ( 2011 ) " FLOAT, "Area ( km\\u00b2 ) " FLOAT, "Density ( per km\\u00b2 ) " FLOAT)
|
what is the area (km ) when the rank is south africa and the population (2011) is more than 51,770,561?
|
SELECT AVG("Area (km\u00b2)") FROM table_14253 WHERE "Rank" = 'south africa' AND "Population (2011)" > '51,770,561'
|
SELECT AVG("Area (km\u00b2)") FROM "table_14253" WHERE "Population (2011)" > '51,770,561' AND "Rank" = 'south africa'
| 0.114258 |
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 cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE 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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
among the patients prescribed with heparin (crrt machine priming), what are the three most commonly prescribed drugs at the same time, a year before?
|
SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'heparin (crrt machine priming)' AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE DATETIME(t1.startdate) = DATETIME(t2.startdate) GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 3
|
WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND DATETIME("prescriptions"."startdate") = DATETIME("t2"."startdate") WHERE "prescriptions"."drug" = 'heparin (crrt machine priming)' AND DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" AS "t3" WHERE "t3"."c1" <= 3
| 0.869141 |
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 patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE 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 treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
|
what percentile is the value of 13.0 in -monos among patients of the same age as patient 027-136480 during this hospital encounter?
|
SELECT DISTINCT t1.c1 FROM (SELECT lab.labresult, PERCENT_RANK() OVER (ORDER BY lab.labresult) AS c1 FROM lab WHERE lab.labname = '-monos' AND lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age = (SELECT patient.age FROM patient WHERE patient.uniquepid = '027-136480' AND patient.hospitaldischargetime IS NULL))) AS t1 WHERE t1.labresult = 13.0
|
WITH "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" JOIN "patient" AS "patient_2" ON "patient"."age" = "patient_2"."age" AND "patient_2"."hospitaldischargetime" IS NULL AND "patient_2"."uniquepid" = '027-136480' GROUP BY "patientunitstayid") SELECT DISTINCT PERCENT_RANK() OVER (ORDER BY "lab"."labresult" NULLS FIRST) FROM "lab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = '-monos' AND "lab"."labresult" = 13.0 AND NOT "_u_1"."" IS NULL
| 0.489258 |
CREATE TABLE table_name_86 (total VARCHAR, set_2 VARCHAR)
|
What is the total when the score for set 2 is 25 22?
|
SELECT total FROM table_name_86 WHERE set_2 = "25–22"
|
SELECT "total" FROM "table_name_86" WHERE "25–22" = "set_2"
| 0.057617 |
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)
|
find the number of female patients who belong to asian ethnic background.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.ethnicity = "ASIAN"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "ASIAN" = "demographic"."ethnicity" AND "F" = "demographic"."gender"
| 0.139648 |
CREATE TABLE table_79751 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Attendance" FLOAT, "Series" TEXT)
|
When was the game with the loss of Moore (0-1)?
|
SELECT "Date" FROM table_79751 WHERE "Loss" = 'moore (0-1)'
|
SELECT "Date" FROM "table_79751" WHERE "Loss" = 'moore (0-1)'
| 0.05957 |
CREATE TABLE table_4761 ("Couple" TEXT, "Score" TEXT, "Dance" TEXT, "Music" TEXT, "Result" TEXT)
|
What was the score of the team that danced a jive and was safe?
|
SELECT "Score" FROM table_4761 WHERE "Dance" = 'jive' AND "Result" = 'safe'
|
SELECT "Score" FROM "table_4761" WHERE "Dance" = 'jive' AND "Result" = 'safe'
| 0.075195 |
CREATE TABLE table_72209 ("Series #" FLOAT, "Season #" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" FLOAT)
|
What is the title of the episode with the production code 624?
|
SELECT "Title" FROM table_72209 WHERE "Production code" = '624'
|
SELECT "Title" FROM "table_72209" WHERE "Production code" = '624'
| 0.063477 |
CREATE TABLE table_7718 ("Season" FLOAT, "Overall" FLOAT, "Slalom" TEXT, "Super G" FLOAT, "Downhill" TEXT, "Combined" TEXT)
|
What is the highest Season, when Super G is 19?
|
SELECT MAX("Season") FROM table_7718 WHERE "Super G" = '19'
|
SELECT MAX("Season") FROM "table_7718" WHERE "Super G" = '19'
| 0.05957 |
CREATE TABLE table_41613 ("Name" TEXT, "Subdivisions" TEXT, "Area ( km\\u00b2 ) " FLOAT, "Population ( 1 July 2005 est. ) " FLOAT, "Population density ( per km\\u00b2 ) " FLOAT, "Capital" TEXT)
|
What is the lowest Population (1 July 2005 est.), when Population density (per km ) is 0?
|
SELECT MIN("Population (1 July 2005 est.)") FROM table_41613 WHERE "Population density (per km\u00b2)" = '0'
|
SELECT MIN("Population (1 July 2005 est.)") FROM "table_41613" WHERE "Population density (per km\u00b2)" = '0'
| 0.107422 |
CREATE TABLE table_10682 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
How much was crowd attendance when the away team had a score of 16.13 (109)?
|
SELECT "Crowd" FROM table_10682 WHERE "Away team score" = '16.13 (109)'
|
SELECT "Crowd" FROM "table_10682" WHERE "Away team score" = '16.13 (109)'
| 0.071289 |
CREATE TABLE table_16048129_5 (region_of_ussr VARCHAR, _percentage_of_total_deportees VARCHAR)
|
What regions of the USSR have a percentage of deportees of 10.6?
|
SELECT region_of_ussr FROM table_16048129_5 WHERE _percentage_of_total_deportees = "10.6"
|
SELECT "region_of_ussr" FROM "table_16048129_5" WHERE "10.6" = "_percentage_of_total_deportees"
| 0.092773 |
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE 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 ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
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 VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE 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 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 PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
|
Total answers and Accepted Answers By Date.
|
SELECT Users.DisplayName AS "user_name", COUNT(DISTINCT answer.Id) AS "total_answers", COUNT(DISTINCT question.Id) AS "accepted_answers" FROM Posts AS answer LEFT OUTER JOIN Posts AS question ON question.AcceptedAnswerId = answer.Id INNER JOIN Users ON answer.OwnerUserId = Users.Id INNER JOIN PostTags ON answer.ParentId = PostTags.PostId INNER JOIN Tags ON PostTags.TagId = Tags.Id WHERE answer.OwnerUserId IN ('##UserId##') AND answer.PostTypeId = 2 AND answer.CreationDate BETWEEN '2015-01-01 00:00:00' AND '2015-12-31 00:00:00' GROUP BY answer.OwnerUserId, Users.Reputation, Users.DisplayName
|
SELECT "Users"."DisplayName" AS "user_name", COUNT(DISTINCT "answer"."Id") AS "total_answers", COUNT(DISTINCT "question"."Id") AS "accepted_answers" FROM "Posts" AS "answer" JOIN "PostTags" ON "PostTags"."PostId" = "answer"."ParentId" JOIN "Users" ON "Users"."Id" = "answer"."OwnerUserId" LEFT JOIN "Posts" AS "question" ON "answer"."Id" = "question"."AcceptedAnswerId" JOIN "Tags" ON "PostTags"."TagId" = "Tags"."Id" WHERE "answer"."CreationDate" <= '2015-12-31 00:00:00' AND "answer"."CreationDate" >= '2015-01-01 00:00:00' AND "answer"."OwnerUserId" IN ('##UserId##') AND "answer"."PostTypeId" = 2 GROUP BY "answer"."OwnerUserId", "Users"."Reputation", "Users"."DisplayName"
| 0.661133 |
CREATE TABLE table_27515 ("Supply sector ( % of GDP in current prices ) " TEXT, "1993-2001" TEXT, "2002-2005" TEXT, "2006-2009" TEXT, "2010-2012" TEXT)
|
What was GDP for 2006-2009 for the sector that had a 20.1 GDP for 2010-2012?
|
SELECT "2006-2009" FROM table_27515 WHERE "2010-2012" = '20.1'
|
SELECT "2006-2009" FROM "table_27515" WHERE "2010-2012" = '20.1'
| 0.0625 |
CREATE TABLE table_65391 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT)
|
What was the score for place 4?
|
SELECT "Score" FROM table_65391 WHERE "Place" = '4'
|
SELECT "Score" FROM "table_65391" WHERE "Place" = '4'
| 0.051758 |
CREATE TABLE table_63756 ("Title" TEXT, "Series" TEXT, "Director" TEXT, "Production Num." TEXT, "Release date" TEXT)
|
What is the release date of Milk and Money?
|
SELECT "Release date" FROM table_63756 WHERE "Title" = 'milk and money'
|
SELECT "Release date" FROM "table_63756" WHERE "Title" = 'milk and money'
| 0.071289 |
CREATE TABLE table_204_722 (id DECIMAL, "season" TEXT, "series" TEXT, "team" TEXT, "races" DECIMAL, "wins" DECIMAL, "poles" DECIMAL, "f/lap" DECIMAL, "podiums" DECIMAL, "points" DECIMAL, "position" TEXT)
|
which is the only team with n/a in the points column ?
|
SELECT "team" FROM table_204_722 WHERE "points" IS NULL
|
SELECT "team" FROM "table_204_722" WHERE "points" IS NULL
| 0.055664 |
CREATE TABLE table_68196 ("Year" FLOAT, "English title" TEXT, "Original title" TEXT, "Country" TEXT, "Director'" TEXT)
|
What country is the film directed by Alfonso Cuar n from?
|
SELECT "Country" FROM table_68196 WHERE "Director'" = 'alfonso cuarón'
|
SELECT "Country" FROM "table_68196" WHERE "Director'" = 'alfonso cuarón'
| 0.070313 |
CREATE TABLE table_203_245 (id DECIMAL, "year" DECIMAL, "competition" TEXT, "venue" TEXT, "position" TEXT, "event" TEXT, "notes" TEXT)
|
what is the total amount of times a new york city marathon competition had a 1st position place ?
|
SELECT COUNT(*) FROM table_203_245 WHERE "competition" = 'new york city marathon' AND "position" = 1
|
SELECT COUNT(*) FROM "table_203_245" WHERE "competition" = 'new york city marathon' AND "position" = 1
| 0.099609 |
CREATE TABLE table_73325 ("District" TEXT, "Vacator" TEXT, "Reason for change" TEXT, "Successor" TEXT, "Date successor seated" TEXT)
|
Who are all successors when reason for change is died May 12, 1964?
|
SELECT "Successor" FROM table_73325 WHERE "Reason for change" = 'Died May 12, 1964'
|
SELECT "Successor" FROM "table_73325" WHERE "Reason for change" = 'Died May 12, 1964'
| 0.083008 |
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
|
What courses can I take in the Fall or Winter semester to satisfy my MDE requirement ?
|
SELECT DISTINCT COURSEalias0.department, COURSEalias0.name, COURSEalias0.number, SEMESTERalias0.semester FROM (SELECT course_id FROM student_record WHERE earn_credit = 'Y' AND student_id = 1) AS DERIVED_TABLEalias0, course AS COURSEalias0, course_offering AS COURSE_OFFERINGalias0, program_course AS PROGRAM_COURSEalias0, semester AS SEMESTERalias0 WHERE COURSEalias0.course_id = COURSE_OFFERINGalias0.course_id AND NOT COURSEalias0.course_id IN (DERIVED_TABLEalias0.course_id) AND NOT COURSEalias0.course_id IN (SELECT DISTINCT COURSE_PREREQUISITEalias0.course_id FROM course_prerequisite AS COURSE_PREREQUISITEalias0 WHERE NOT COURSE_PREREQUISITEalias0.pre_course_id IN (DERIVED_TABLEalias0.course_id)) AND COURSEalias0.department = 'department0' AND PROGRAM_COURSEalias0.category LIKE '%MDE%' AND PROGRAM_COURSEalias0.course_id = COURSE_OFFERINGalias0.course_id AND SEMESTERalias0.semester IN ('FA', 'WN') AND SEMESTERalias0.semester_id = COURSE_OFFERINGalias0.semester AND SEMESTERalias0.year = 2016
|
SELECT DISTINCT "COURSEalias0"."department", "COURSEalias0"."name", "COURSEalias0"."number", "SEMESTERalias0"."semester" FROM "student_record" JOIN "course" AS "COURSEalias0" ON "COURSEalias0"."department" = 'department0' AND NOT "COURSEalias0"."course_id" IN ("course_id") AND NOT "COURSEalias0"."course_id" IN (SELECT DISTINCT "COURSE_PREREQUISITEalias0"."course_id" FROM "course_prerequisite" AS "COURSE_PREREQUISITEalias0" WHERE NOT "COURSE_PREREQUISITEalias0"."pre_course_id" IN ("course_id")) JOIN "course_offering" AS "COURSE_OFFERINGalias0" ON "COURSE_OFFERINGalias0"."course_id" = "COURSEalias0"."course_id" JOIN "program_course" AS "PROGRAM_COURSEalias0" ON "COURSE_OFFERINGalias0"."course_id" = "PROGRAM_COURSEalias0"."course_id" AND "PROGRAM_COURSEalias0"."category" LIKE '%MDE%' JOIN "semester" AS "SEMESTERalias0" ON "COURSE_OFFERINGalias0"."semester" = "SEMESTERalias0"."semester_id" AND "SEMESTERalias0"."semester" IN ('FA', 'WN') AND "SEMESTERalias0"."year" = 2016 WHERE "earn_credit" = 'Y' AND "student_id" = 1
| 1.003906 |
CREATE TABLE table_54301 ("Year" FLOAT, "Meeting" TEXT, "Venue" TEXT, "Result" TEXT, "Event" TEXT, "Extra" FLOAT)
|
What is the highest extra total before 2003 at the Meeting of all africa games?
|
SELECT MAX("Extra") FROM table_54301 WHERE "Meeting" = 'all africa games' AND "Year" < '2003'
|
SELECT MAX("Extra") FROM "table_54301" WHERE "Meeting" = 'all africa games' AND "Year" < '2003'
| 0.092773 |
CREATE TABLE table_51726 ("Player" TEXT, "Nationality" TEXT, "Position" TEXT, "Years for Jazz" TEXT, "School/Club Team" TEXT)
|
At Position of guard, from the School/Club Team Notre Dame, how many Years for Jazz did that person play?
|
SELECT "Years for Jazz" FROM table_51726 WHERE "Position" = 'guard' AND "School/Club Team" = 'notre dame'
|
SELECT "Years for Jazz" FROM "table_51726" WHERE "Position" = 'guard' AND "School/Club Team" = 'notre dame'
| 0.104492 |
CREATE TABLE table_72466 ("Name" TEXT, "First operational" TEXT, "Numeral system" TEXT, "Computing mechanism" TEXT, "Programming" TEXT, "Turing complete" TEXT)
|
what's the name with first operational being march 1945
|
SELECT "Name" FROM table_72466 WHERE "First operational" = 'March 1945'
|
SELECT "Name" FROM "table_72466" WHERE "First operational" = 'March 1945'
| 0.071289 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
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 were admitted to the hospital before 2197?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admityear < "2197"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2197" > "demographic"."admityear"
| 0.106445 |
CREATE TABLE table_48053 ("Rider" TEXT, "Manufacturer" TEXT, "Laps" FLOAT, "Time" TEXT, "Grid" FLOAT)
|
What is the average Grid for the Rider Toni Elias with Laps more than 30?
|
SELECT AVG("Grid") FROM table_48053 WHERE "Rider" = 'toni elias' AND "Laps" > '30'
|
SELECT AVG("Grid") FROM "table_48053" WHERE "Laps" > '30' AND "Rider" = 'toni elias'
| 0.082031 |
CREATE TABLE table_18994724_1 (language_s_ VARCHAR, film_title_used_in_nomination VARCHAR)
|
What language was spoken in Everlasting Moments?
|
SELECT language_s_ FROM table_18994724_1 WHERE film_title_used_in_nomination = "Everlasting Moments"
|
SELECT "language_s_" FROM "table_18994724_1" WHERE "Everlasting Moments" = "film_title_used_in_nomination"
| 0.103516 |
CREATE TABLE table_65871 ("Rank" TEXT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
|
What is number of silver for the country with more than 0 gold, rank of 14, and more than 4 bronze?
|
SELECT COUNT("Silver") FROM table_65871 WHERE "Gold" > '0' AND "Rank" = '14' AND "Bronze" > '4'
|
SELECT COUNT("Silver") FROM "table_65871" WHERE "Bronze" > '4' AND "Gold" > '0' AND "Rank" = '14'
| 0.094727 |
CREATE TABLE table_name_20 (city_of_license VARCHAR, erp_w VARCHAR, frequency_mhz VARCHAR)
|
Which city has ERP W under 14 and a frequency over 93.7MHz?
|
SELECT city_of_license FROM table_name_20 WHERE erp_w < 14 AND frequency_mhz > 93.7
|
SELECT "city_of_license" FROM "table_name_20" WHERE "erp_w" < 14 AND "frequency_mhz" > 93.7
| 0.088867 |
CREATE TABLE PROFESSOR (EMP_NUM INT, DEPT_CODE VARCHAR, PROF_OFFICE VARCHAR, PROF_EXTENSION VARCHAR, PROF_HIGH_DEGREE VARCHAR)
CREATE TABLE CLASS (CLASS_CODE VARCHAR, CRS_CODE VARCHAR, CLASS_SECTION VARCHAR, CLASS_TIME VARCHAR, CLASS_ROOM VARCHAR, PROF_NUM INT)
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 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 ENROLL (CLASS_CODE VARCHAR, STU_NUM INT, ENROLL_GRADE VARCHAR)
CREATE TABLE COURSE (CRS_CODE VARCHAR, DEPT_CODE VARCHAR, CRS_DESCRIPTION VARCHAR, CRS_CREDIT FLOAT)
|
Visualize a bar chart for how many sections does each course has?, I want to order by the bars in asc.
|
SELECT CRS_CODE, COUNT(*) FROM CLASS GROUP BY CRS_CODE ORDER BY CRS_CODE
|
SELECT "CRS_CODE", COUNT(*) FROM "CLASS" GROUP BY "CRS_CODE" ORDER BY "CRS_CODE" NULLS FIRST
| 0.089844 |
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
|
what is the cheapest fare from BOSTON to SAN FRANCISCO
|
SELECT DISTINCT fare.fare_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, fare, flight, flight_fare WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, fare AS FAREalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'BOSTON' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'SAN FRANCISCO' AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
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WITH "_u_0" AS (SELECT MIN("FAREalias1"."one_direction_cost") FROM "airport_service" AS "AIRPORT_SERVICEalias2" JOIN "city" AS "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'BOSTON' JOIN "flight" AS "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "flight_fare" AS "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" AS "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'SAN FRANCISCO' JOIN "fare" AS "FAREalias1" ON "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id") SELECT DISTINCT "fare"."fare_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "fare"."one_direction_cost"
| 1.473633 |
CREATE TABLE table_name_10 (area_km_2 INT, population VARCHAR, status VARCHAR, census_ranking VARCHAR)
|
What is the area (in km2) for the community that has a status of village, a census ranking of 2,471 of 5,008, and a population of less than 748?
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SELECT SUM(area_km_2) FROM table_name_10 WHERE status = "village" AND census_ranking = "2,471 of 5,008" AND population < 748
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SELECT SUM("area_km_2") FROM "table_name_10" WHERE "2,471 of 5,008" = "census_ranking" AND "population" < 748 AND "status" = "village"
| 0.130859 |
CREATE TABLE table_2305948_1 (other_placings VARCHAR, federation VARCHAR)
|
How many times has a wrestler whose federation was roh, wwe competed in this event?
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SELECT COUNT(other_placings) FROM table_2305948_1 WHERE federation = "ROH, WWE"
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SELECT COUNT("other_placings") FROM "table_2305948_1" WHERE "ROH, WWE" = "federation"
| 0.083008 |
CREATE TABLE table_name_71 (week INT, date VARCHAR)
|
Which week was the 1995-10-01 game on?
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SELECT MAX(week) FROM table_name_71 WHERE date = "1995-10-01"
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SELECT MAX("week") FROM "table_name_71" WHERE "1995-10-01" = "date"
| 0.06543 |
CREATE TABLE table_train_253 ("id" INT, "pregnancy_or_lactation" BOOLEAN, "pre_eclampsia" BOOLEAN, "acute_ischemia" BOOLEAN, "pre_gestational_hypertension" BOOLEAN, "diabetic" TEXT, "smoking" BOOLEAN, "coronary_artery_disease_cad" BOOLEAN, "NOUSE" FLOAT)
|
pregnant female with known type i or type ii diabetes mellitus.
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SELECT * FROM table_train_253 WHERE pregnancy_or_lactation = 1 AND (diabetic = 'i' OR diabetic = 'ii')
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SELECT * FROM "table_train_253" WHERE ("diabetic" = 'i' OR "diabetic" = 'ii') AND "pregnancy_or_lactation" = 1
| 0.107422 |
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
|
i would like information for flights from BALTIMORE to DALLAS on early tuesday morning
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SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, date_day, days, flight WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND date_day.day_number = 22 AND date_day.month_number = 3 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BALTIMORE' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.departure_time BETWEEN 0 AND 800
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SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" ON "date_day"."day_number" = 22 AND "date_day"."month_number" = 3 AND "date_day"."year" = 1991 JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BALTIMORE' JOIN "days" ON "date_day"."day_name" = "days"."day_name" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "days"."days_code" = "flight"."flight_days" AND "flight"."departure_time" <= 800 AND "flight"."departure_time" >= 0 JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DALLAS'
| 0.776367 |
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 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)
|
provide the number of patients whose admission type is urgent and procedure icd9 code is 9744?
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SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "URGENT" AND procedures.icd9_code = "9744"
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SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "9744" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "URGENT" = "demographic"."admission_type"
| 0.21875 |
CREATE TABLE table_name_69 (date VARCHAR, surface VARCHAR, partner VARCHAR)
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What day did he play on hard with tom mercer?
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SELECT date FROM table_name_69 WHERE surface = "hard" AND partner = "tom mercer"
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SELECT "date" FROM "table_name_69" WHERE "hard" = "surface" AND "partner" = "tom mercer"
| 0.085938 |
CREATE TABLE table_22597626_17 (opponents_in_the_final VARCHAR, score_in_the_final VARCHAR)
|
Who were the opponents in the final where the score in the final is 6 4, 7 6 2?
|
SELECT opponents_in_the_final FROM table_22597626_17 WHERE score_in_the_final = "6–4, 7–6 2"
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SELECT "opponents_in_the_final" FROM "table_22597626_17" WHERE "6–4, 7–6 2" = "score_in_the_final"
| 0.095703 |
CREATE TABLE table_11614581_3 (seat VARCHAR, name_in_russian VARCHAR)
|
What seat does hold?
|
SELECT seat FROM table_11614581_3 WHERE name_in_russian = "Плоцкая губерния"
|
SELECT "seat" FROM "table_11614581_3" WHERE "name_in_russian" = "Плоцкая губерния"
| 0.080078 |
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)
|
how many patients whose insurance is medicare and procedure icd9 code is 3733?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Medicare" AND procedures.icd9_code = "3733"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "3733" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "Medicare" = "demographic"."insurance"
| 0.21582 |
CREATE TABLE table_1373768_1 (torque VARCHAR, trim VARCHAR)
|
what's the torque with trim being xe (2009)
|
SELECT torque FROM table_1373768_1 WHERE trim = "XE (2009)"
|
SELECT "torque" FROM "table_1373768_1" WHERE "XE (2009)" = "trim"
| 0.063477 |
CREATE TABLE table_13701 ("Year" FLOAT, "Labour" FLOAT, "Lib Dem" FLOAT, "Green" FLOAT, "IWCA" FLOAT, "Independent" FLOAT, "Conservative" FLOAT)
|
Name the average Independent with a Green larger than 7, and a Conservative smaller than 0?
|
SELECT AVG("Independent") FROM table_13701 WHERE "Green" > '7' AND "Conservative" < '0'
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SELECT AVG("Independent") FROM "table_13701" WHERE "Conservative" < '0' AND "Green" > '7'
| 0.086914 |
CREATE TABLE table_34492 ("Round" FLOAT, "Pick" FLOAT, "Player" TEXT, "Position" TEXT, "School/Club Team" TEXT)
|
What is the highest round of Tommy Allman, who had a pick less than 40?
|
SELECT MAX("Round") FROM table_34492 WHERE "Player" = 'tommy allman' AND "Pick" < '40'
|
SELECT MAX("Round") FROM "table_34492" WHERE "Pick" < '40' AND "Player" = 'tommy allman'
| 0.085938 |
CREATE TABLE table_204_927 (id DECIMAL, "title" TEXT, "year" DECIMAL, "artist ( s ) " TEXT, "album" TEXT, "writer ( s ) " TEXT, "producer ( s ) " TEXT)
|
what year is next to the title cheat on you ?
|
SELECT "year" FROM table_204_927 WHERE "title" = '"cheat on you"'
|
SELECT "year" FROM "table_204_927" WHERE "title" = '"cheat on you"'
| 0.06543 |
CREATE TABLE fires (fire_year DECIMAL, discovery_date DECIMAL, discovery_doy DECIMAL, discovery_time TEXT, stat_cause_code DECIMAL, stat_cause_descr TEXT, cont_date TEXT, cont_doy TEXT, cont_time TEXT, fire_size DECIMAL, fire_size_class TEXT, latitude DECIMAL, longitude DECIMAL, owner_code DECIMAL, owner_descr TEXT, state TEXT, county TEXT, fips_code TEXT, fips_name TEXT)
|
What s the county that contains most recorded burns in 2000 according to the database?
|
SELECT county FROM fires GROUP BY county ORDER BY COUNT(*)
|
SELECT "county" FROM "fires" GROUP BY "county" ORDER BY COUNT(*) NULLS FIRST
| 0.074219 |
CREATE TABLE table_10117 ("Team" TEXT, "Games Played" FLOAT, "Wins" FLOAT, "Losses" FLOAT, "Ties" FLOAT, "Goals For" FLOAT, "Goals Against" FLOAT)
|
What is the highest number of losses where a team scored more than 45 goals and had 32 against?
|
SELECT MAX("Losses") FROM table_10117 WHERE "Goals Against" = '32' AND "Goals For" > '45'
|
SELECT MAX("Losses") FROM "table_10117" WHERE "Goals Against" = '32' AND "Goals For" > '45'
| 0.088867 |
CREATE TABLE table_name_31 (rank INT, headquarters VARCHAR, market_value__billion_$_ VARCHAR)
|
What is the average rank for USA when the market value is 407.2 billion?
|
SELECT AVG(rank) FROM table_name_31 WHERE headquarters = "usa" AND market_value__billion_$_ > 407.2
|
SELECT AVG("rank") FROM "table_name_31" WHERE "headquarters" = "usa" AND "market_value__billion_$_" > 407.2
| 0.104492 |
CREATE TABLE table_name_66 (Id VARCHAR)
|
What is the 2000 figure when 2010 is 3R and 2001 is A?
|
SELECT 2000 FROM table_name_66 WHERE 2001 = "a" AND 2010 = "3r"
|
SELECT 2000 FROM "table_name_66" WHERE "3r" = 2010 AND "a" = 2001
| 0.063477 |
CREATE TABLE customers (customer_id DECIMAL, customer_name TEXT)
CREATE TABLE services (service_id DECIMAL, service_name TEXT)
CREATE TABLE available_policies (policy_id DECIMAL, policy_type_code TEXT, customer_phone TEXT)
CREATE TABLE claims (claim_id DECIMAL, fnol_id DECIMAL, effective_date TIME)
CREATE TABLE customers_policies (customer_id DECIMAL, policy_id DECIMAL, date_opened TIME, date_closed TIME)
CREATE TABLE settlements (settlement_id DECIMAL, claim_id DECIMAL, effective_date TIME, settlement_amount DECIMAL)
CREATE TABLE first_notification_of_loss (fnol_id DECIMAL, customer_id DECIMAL, policy_id DECIMAL, service_id DECIMAL)
|
What are the phone numbers of customers using the policy with the code 'Life Insurance'?
|
SELECT customer_phone FROM available_policies WHERE policy_type_code = "Life Insurance"
|
SELECT "customer_phone" FROM "available_policies" WHERE "Life Insurance" = "policy_type_code"
| 0.09082 |
CREATE TABLE table_name_24 (date VARCHAR, venue VARCHAR)
|
On what date did the game at Windy Hill take place?
|
SELECT date FROM table_name_24 WHERE venue = "windy hill"
|
SELECT "date" FROM "table_name_24" WHERE "venue" = "windy hill"
| 0.061523 |
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
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 PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (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 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 Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
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 VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE 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 ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE 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 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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
|
Top 1000 Most Revised Answers on StackOverflow.
|
SELECT PostId, COUNT(*) FROM dbo.PostHistory AS PH JOIN dbo.Posts AS P ON PH.PostId = P.Id WHERE P.PostTypeId IN (1, 2) GROUP BY PostId ORDER BY 2 DESC LIMIT 1000
|
SELECT "PostId", COUNT(*) FROM "dbo"."PostHistory" AS "PH" JOIN "dbo"."Posts" AS "P" ON "P"."Id" = "PH"."PostId" AND "P"."PostTypeId" IN (1, 2) GROUP BY "PostId" ORDER BY 2 DESC NULLS LAST LIMIT 1000
| 0.194336 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
|
provide the number of patients whose marital status is single and lab test name is transferrin?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "SINGLE" AND lab.label = "Transferrin"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Transferrin" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "SINGLE" = "demographic"."marital_status"
| 0.201172 |
CREATE TABLE table_name_66 (laps INT, driver VARCHAR, grid VARCHAR)
|
What is the average Lap of damon hill, with a Grid smaller than 1?
|
SELECT AVG(laps) FROM table_name_66 WHERE driver = "damon hill" AND grid < 1
|
SELECT AVG("laps") FROM "table_name_66" WHERE "damon hill" = "driver" AND "grid" < 1
| 0.082031 |
CREATE TABLE table_name_27 (result VARCHAR, opponent VARCHAR, venue VARCHAR)
|
What is the result of the match with clyde as the opponent in the h venue?
|
SELECT result FROM table_name_27 WHERE opponent = "clyde" AND venue = "h"
|
SELECT "result" FROM "table_name_27" WHERE "clyde" = "opponent" AND "h" = "venue"
| 0.079102 |
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
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 treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
|
give me the top four most common diagnoses since 1 year 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(), '-1 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(), '-1 year') GROUP BY "diagnosis"."diagnosisname") SELECT "t1"."diagnosisname" FROM "t1" AS "t1" WHERE "t1"."c1" <= 4
| 0.308594 |
CREATE TABLE table_name_74 (opponent VARCHAR, result VARCHAR)
|
What opponent has a result of 3 6, 6 2, 4 6?
|
SELECT opponent FROM table_name_74 WHERE result = "3–6, 6–2, 4–6"
|
SELECT "opponent" FROM "table_name_74" WHERE "3–6, 6–2, 4–6" = "result"
| 0.069336 |
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)
|
provide the number of patients whose days of hospital stay is greater than 8 and drug route is id?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "8" AND prescriptions.route = "ID"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "ID" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "8" < "demographic"."days_stay"
| 0.211914 |
CREATE TABLE table_13713206_1 (position INT, w_l_d VARCHAR)
|
What's the position of the club with w-l-d of 6-2-8?
|
SELECT MAX(position) FROM table_13713206_1 WHERE w_l_d = "6-2-8"
|
SELECT MAX("position") FROM "table_13713206_1" WHERE "6-2-8" = "w_l_d"
| 0.068359 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
how many patients whose admission type is urgent and year of birth is less than 1821?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "URGENT" AND demographic.dob_year < "1821"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "1821" > "demographic"."dob_year" AND "URGENT" = "demographic"."admission_type"
| 0.150391 |
CREATE TABLE table_21626 ("Series #" FLOAT, "Season #" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT)
|
How many titles are given for the episode directed by Joanna Kerns?
|
SELECT COUNT("Title") FROM table_21626 WHERE "Directed by" = 'Joanna Kerns'
|
SELECT COUNT("Title") FROM "table_21626" WHERE "Directed by" = 'Joanna Kerns'
| 0.075195 |
CREATE TABLE table_57551 ("Player" TEXT, "Position" TEXT, "School" TEXT, "Hometown" TEXT, "MLB Draft" TEXT)
|
Which position has a Player of chad hutchinson?
|
SELECT "Position" FROM table_57551 WHERE "Player" = 'chad hutchinson'
|
SELECT "Position" FROM "table_57551" WHERE "Player" = 'chad hutchinson'
| 0.069336 |
CREATE TABLE table_name_49 (erp_w INT, call_sign VARCHAR)
|
What is the Sum of ERP W, when Call Sign is K216GA?
|
SELECT SUM(erp_w) FROM table_name_49 WHERE call_sign = "k216ga"
|
SELECT SUM("erp_w") FROM "table_name_49" WHERE "call_sign" = "k216ga"
| 0.067383 |
CREATE TABLE table_name_52 (annual_ridership__2012_ INT, stations VARCHAR, lines VARCHAR)
|
What is the number of annual ridership with a station that has more than 13 stations and larger than 4 lines?
|
SELECT SUM(annual_ridership__2012_) FROM table_name_52 WHERE stations = 13 AND lines > 4
|
SELECT SUM("annual_ridership__2012_") FROM "table_name_52" WHERE "lines" > 4 AND "stations" = 13
| 0.09375 |
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
|
For those employees who do not work in departments with managers that have ids between 100 and 200, return a bar chart about the distribution of email and department_id , and could you sort by the X-axis in descending?
|
SELECT EMAIL, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY EMAIL DESC
|
SELECT "EMAIL", "DEPARTMENT_ID" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "EMAIL" DESC NULLS LAST
| 0.199219 |
CREATE TABLE table_name_65 (tone VARCHAR, standard_thai VARCHAR)
|
Which tone has a Standard Thai at ?
|
SELECT tone FROM table_name_65 WHERE standard_thai = "ปลา"
|
SELECT "tone" FROM "table_name_65" WHERE "standard_thai" = "ปลา"
| 0.0625 |
CREATE TABLE table_name_31 (location VARCHAR, record VARCHAR)
|
Which Location has a Record of 5 2 1?
|
SELECT location FROM table_name_31 WHERE record = "5–2–1"
|
SELECT "location" FROM "table_name_31" WHERE "5–2–1" = "record"
| 0.061523 |
CREATE TABLE table_27067379_1 (height VARCHAR, number_of_floors VARCHAR)
|
If the number of floors is 70, what is the height?
|
SELECT height FROM table_27067379_1 WHERE number_of_floors = 70
|
SELECT "height" FROM "table_27067379_1" WHERE "number_of_floors" = 70
| 0.067383 |
CREATE TABLE course (course_id VARCHAR, title VARCHAR, dept_name VARCHAR, credits DECIMAL)
CREATE TABLE advisor (s_ID VARCHAR, i_ID VARCHAR)
CREATE TABLE section (course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL, building VARCHAR, room_number VARCHAR, time_slot_id VARCHAR)
CREATE TABLE classroom (building VARCHAR, room_number VARCHAR, capacity DECIMAL)
CREATE TABLE student (ID VARCHAR, name VARCHAR, dept_name VARCHAR, tot_cred DECIMAL)
CREATE TABLE prereq (course_id VARCHAR, prereq_id VARCHAR)
CREATE TABLE takes (ID VARCHAR, course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL, grade VARCHAR)
CREATE TABLE instructor (ID VARCHAR, name VARCHAR, dept_name VARCHAR, salary DECIMAL)
CREATE TABLE department (dept_name VARCHAR, building VARCHAR, budget DECIMAL)
CREATE TABLE time_slot (time_slot_id VARCHAR, day VARCHAR, start_hr DECIMAL, start_min DECIMAL, end_hr DECIMAL, end_min DECIMAL)
CREATE TABLE teaches (ID VARCHAR, course_id VARCHAR, sec_id VARCHAR, semester VARCHAR, year DECIMAL)
|
Bar chart of total number of credits from each dept name, and sort in asc by the total number of credits.
|
SELECT dept_name, SUM(credits) FROM course GROUP BY dept_name ORDER BY SUM(credits)
|
SELECT "dept_name", SUM("credits") FROM "course" GROUP BY "dept_name" ORDER BY SUM("credits") NULLS FIRST
| 0.102539 |
CREATE TABLE table_name_76 (december INT, opponent VARCHAR)
|
What was the first time in December they played the Colorado Avalanche?
|
SELECT MIN(december) FROM table_name_76 WHERE opponent = "colorado avalanche"
|
SELECT MIN("december") FROM "table_name_76" WHERE "colorado avalanche" = "opponent"
| 0.081055 |
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
|
For those employees who was hired before 2002-06-21, visualize a bar chart about the distribution of job_id and the average of manager_id , and group by attribute job_id.
|
SELECT JOB_ID, AVG(MANAGER_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID
|
SELECT "JOB_ID", AVG("MANAGER_ID") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' GROUP BY "JOB_ID"
| 0.099609 |
CREATE TABLE table_77779 ("Player" TEXT, "Position" TEXT, "School" TEXT, "Hometown" TEXT, "College" TEXT)
|
What position did Max Redfield play?
|
SELECT "Position" FROM table_77779 WHERE "Player" = 'max redfield'
|
SELECT "Position" FROM "table_77779" WHERE "Player" = 'max redfield'
| 0.066406 |
CREATE TABLE table_name_6 (number_of_electorates__2009_ INT, name VARCHAR)
|
What is the electorates in 2009 for Modi Nagar?
|
SELECT AVG(number_of_electorates__2009_) FROM table_name_6 WHERE name = "modi nagar"
|
SELECT AVG("number_of_electorates__2009_") FROM "table_name_6" WHERE "modi nagar" = "name"
| 0.087891 |
CREATE TABLE table_name_71 (player VARCHAR, country VARCHAR, place VARCHAR, score VARCHAR)
|
What player placed t6 for the United States with a score of 67-69=136?
|
SELECT player FROM table_name_71 WHERE country = "united states" AND place = "t6" AND score = 67 - 69 = 136
|
SELECT "player" FROM "table_name_71" WHERE "country" = "united states" AND "place" = "t6" AND "score" = FALSE
| 0.106445 |
CREATE TABLE nuclear_power_plants (id TEXT, name TEXT, latitude TEXT, longitude TEXT, country TEXT, status TEXT, reactortype TEXT, reactormodel TEXT, constructionstartat TEXT, operationalfrom TEXT, operationalto TEXT, capacity TEXT, lastupdatedat TEXT, source TEXT)
|
What are operational nuclear power plants in Japan called?
|
SELECT name FROM nuclear_power_plants WHERE status = "Operational" AND country = "Japan"
|
SELECT "name" FROM "nuclear_power_plants" WHERE "Japan" = "country" AND "Operational" = "status"
| 0.09375 |
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