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CREATE TABLE table_28138035_4 (year_location VARCHAR, womens_singles VARCHAR)
|
Name the year location for haruna fukuoka
|
SELECT year_location FROM table_28138035_4 WHERE womens_singles = "Haruna Fukuoka"
|
SELECT "year_location" FROM "table_28138035_4" WHERE "Haruna Fukuoka" = "womens_singles"
| 0.085938 |
CREATE TABLE table_13611 ("Model number" TEXT, "sSpec number" TEXT, "Frequency" TEXT, "Turbo" TEXT, "GPU frequency" TEXT, "Cores" TEXT, "L2 cache" TEXT, "L3 cache" TEXT, "I/O bus" TEXT, "Mult." TEXT, "Memory" TEXT, "Voltage" TEXT, "Socket" TEXT, "Release date" TEXT, "Part number ( s ) " TEXT, "Release price ( USD ) " TEXT)
|
What is the voltage when the L2 cache is 2 256 kb and the turbo is 5/8?
|
SELECT "Voltage" FROM table_13611 WHERE "L2 cache" = '2 × 256 kb' AND "Turbo" = '5/8'
|
SELECT "Voltage" FROM "table_13611" WHERE "L2 cache" = '2 × 256 kb' AND "Turbo" = '5/8'
| 0.084961 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
|
what is the diagnosis for patient name alice nixon?
|
SELECT diagnoses.long_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Alice Nixon"
|
SELECT "diagnoses"."long_title" FROM "demographic" JOIN "diagnoses" ON "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Alice Nixon" = "demographic"."name"
| 0.157227 |
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 who were admitted urgently have procedure icd9 code 12?
|
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 = "12"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "12" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "URGENT" = "demographic"."admission_type"
| 0.216797 |
CREATE TABLE salary (salary VARCHAR, YEAR VARCHAR)
|
List the 3 highest salaries of the players in 2001?
|
SELECT salary FROM salary WHERE YEAR = 2001 ORDER BY salary DESC LIMIT 3
|
SELECT "salary" FROM "salary" WHERE "YEAR" = 2001 ORDER BY "salary" DESC NULLS LAST LIMIT 3
| 0.088867 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
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 treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime 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 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 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)
|
what is the total varience output which patient 002-16078 has had until 08/15/2104?
|
SELECT SUM(intakeoutput.cellvaluenumeric) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '002-16078')) AND intakeoutput.celllabel = 'varience' AND intakeoutput.cellpath LIKE '%output%' AND STRFTIME('%y-%m-%d', intakeoutput.intakeoutputtime) <= '2104-08-15'
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '002-16078' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT SUM("intakeoutput"."cellvaluenumeric") FROM "intakeoutput" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'varience' AND "intakeoutput"."cellpath" LIKE '%output%' AND NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m-%d', "intakeoutput"."intakeoutputtime") <= '2104-08-15'
| 0.677734 |
CREATE TABLE table_33352 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
What date was fitzroy the home team?
|
SELECT "Date" FROM table_33352 WHERE "Home team" = 'fitzroy'
|
SELECT "Date" FROM "table_33352" WHERE "Home team" = 'fitzroy'
| 0.060547 |
CREATE TABLE table_23680576_2 (party VARCHAR, dec_2008 VARCHAR)
|
Name the party/s when the polling percentage was 6.3% in Dec 2008.
|
SELECT party FROM table_23680576_2 WHERE dec_2008 = "6.3%"
|
SELECT "party" FROM "table_23680576_2" WHERE "6.3%" = "dec_2008"
| 0.0625 |
CREATE TABLE table_17265 ("No." TEXT, "Player" TEXT, "Date of Birth" TEXT, "Batting Style" TEXT, "Bowling Style" TEXT, "First Class Team" TEXT)
|
What's Javagal Srinath's batting style?
|
SELECT "Batting Style" FROM table_17265 WHERE "Player" = 'Javagal Srinath'
|
SELECT "Batting Style" FROM "table_17265" WHERE "Player" = 'Javagal Srinath'
| 0.074219 |
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
|
Show me about the distribution of All_Neutral and ACC_Percent in a bar chart.
|
SELECT All_Neutral, ACC_Percent FROM basketball_match
|
SELECT "All_Neutral", "ACC_Percent" FROM "basketball_match"
| 0.057617 |
CREATE TABLE table_26942 ("Name" TEXT, "Position" TEXT, "Period" TEXT, "Appearances\\u00b9" FLOAT, "Goals\\u00b9" FLOAT, "Nationality\\u00b2" TEXT)
|
How many names correspond to the value 101 for appearances?
|
SELECT COUNT("Name") FROM table_26942 WHERE "Appearances\u00b9" = '101'
|
SELECT COUNT("Name") FROM "table_26942" WHERE "Appearances\u00b9" = '101'
| 0.071289 |
CREATE TABLE table_name_29 (nbr_number INT, class VARCHAR, road_number VARCHAR)
|
What is the highest NBR number that corresponds to the J class and the road number of 1211?
|
SELECT MAX(nbr_number) FROM table_name_29 WHERE class = "j" AND road_number = 1211
|
SELECT MAX("nbr_number") FROM "table_name_29" WHERE "class" = "j" AND "road_number" = 1211
| 0.087891 |
CREATE TABLE table_14452 ("Sanskrit" TEXT, "Pali" TEXT, "Burmese" TEXT, "Khmer" TEXT, "Sinhala" TEXT, "Thai" TEXT, "# of days" TEXT, "~Gregorian" TEXT)
|
What Thai has a ~Gregorian of April May?
|
SELECT "Thai" FROM table_14452 WHERE "~Gregorian" = 'april–may'
|
SELECT "Thai" FROM "table_14452" WHERE "~Gregorian" = 'april–may'
| 0.063477 |
CREATE TABLE table_name_40 (size__cents_ INT, just_ratio VARCHAR, just__cents_ VARCHAR)
|
ratio of 15:14, and a just (cents) larger than 119.44 is what average size (cents)?
|
SELECT AVG(size__cents_) FROM table_name_40 WHERE just_ratio = "15:14" AND just__cents_ > 119.44
|
SELECT AVG("size__cents_") FROM "table_name_40" WHERE "15:14" = "just_ratio" AND "just__cents_" > 119.44
| 0.101563 |
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
|
Name the courses in Digital Studio that satisfy the MDE requirement .
|
SELECT DISTINCT course.department, course.name, course.number FROM course INNER JOIN area ON course.course_id = area.course_id INNER JOIN program_course ON program_course.course_id = course.course_id WHERE (area.area LIKE '%Digital Studio%' OR course.description LIKE '%Digital Studio%' OR course.name LIKE '%Digital Studio%') AND program_course.category LIKE '%MDE%'
|
SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "area" ON ("area"."area" LIKE '%Digital Studio%' OR "course"."description" LIKE '%Digital Studio%' OR "course"."name" LIKE '%Digital Studio%') AND "area"."course_id" = "course"."course_id" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%MDE%'
| 0.393555 |
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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE 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)
|
what is the hospital admission times of patient 031-4423 in a year before?
|
SELECT patient.hospitaladmittime FROM patient WHERE patient.uniquepid = '031-4423' AND DATETIME(patient.hospitaladmittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')
|
SELECT "patient"."hospitaladmittime" FROM "patient" WHERE "patient"."uniquepid" = '031-4423' AND DATETIME("patient"."hospitaladmittime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')
| 0.203125 |
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)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
count the number of patients whose drug code is neolevo5 and lab test fluid is cerebrospinal fluid (csf)?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.formulary_drug_cd = "NEOLEVO5" AND lab.fluid = "Cerebrospinal Fluid (CSF)"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Cerebrospinal Fluid (CSF)" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" JOIN "prescriptions" ON "NEOLEVO5" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id"
| 0.293945 |
CREATE TABLE table_27115 ("Afghan" TEXT, "Albanian" TEXT, "Arabic" TEXT, "Bangladeshi" TEXT, "Bosnian" TEXT, "Chinese" TEXT, "Colombian" TEXT, "Cook Islands" TEXT)
|
how many bosnian in cook islands is sri lankan
|
SELECT "Bosnian" FROM table_27115 WHERE "Cook Islands" = 'Sri Lankan'
|
SELECT "Bosnian" FROM "table_27115" WHERE "Cook Islands" = 'Sri Lankan'
| 0.069336 |
CREATE TABLE movie (movie_id DECIMAL, title TEXT, year DECIMAL, director TEXT, budget_million DECIMAL, gross_worldwide DECIMAL)
CREATE TABLE culture_company (company_name TEXT, type TEXT, incorporated_in TEXT, group_equity_shareholding DECIMAL, book_club_id TEXT, movie_id TEXT)
CREATE TABLE book_club (book_club_id DECIMAL, year DECIMAL, author_or_editor TEXT, book_title TEXT, publisher TEXT, category TEXT, result TEXT)
|
List all company names with a book published by Alyson.
|
SELECT T1.company_name FROM culture_company AS T1 JOIN book_club AS T2 ON T1.book_club_id = T2.book_club_id WHERE T2.publisher = 'Alyson'
|
SELECT "T1"."company_name" FROM "culture_company" AS "T1" JOIN "book_club" AS "T2" ON "T1"."book_club_id" = "T2"."book_club_id" AND "T2"."publisher" = 'Alyson'
| 0.155273 |
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
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 diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
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 cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
|
has patient 027-48742 ever done a lab test last year?
|
SELECT COUNT(*) > 0 FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '027-48742')) AND DATETIME(lab.labresulttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '027-48742' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "lab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE DATETIME("lab"."labresulttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL
| 0.578125 |
CREATE TABLE table_20854 ("Player" TEXT, "No." TEXT, "Nationality" TEXT, "Position" TEXT, "Years for Grizzlies" TEXT, "School/Club Team" TEXT)
|
How may players played for the Grizzlies from 2000-2002?
|
SELECT COUNT("No.") FROM table_20854 WHERE "Years for Grizzlies" = '2000-2002'
|
SELECT COUNT("No.") FROM "table_20854" WHERE "Years for Grizzlies" = '2000-2002'
| 0.078125 |
CREATE TABLE table_203_90 (id DECIMAL, "religious\ group" TEXT, "population\ %" TEXT, "growth\ ( 1991-2001 ) " TEXT, "sex ratio\ ( total ) " DECIMAL, "literacy\ ( % ) " TEXT, "work participation\ ( % ) " TEXT, "sex ratio\ ( rural ) " DECIMAL, "sex ratio\ ( urban ) " DECIMAL, "sex ratio\ ( child ) " DECIMAL)
|
which religious group has the highest population % ?
|
SELECT "religious\ngroup" FROM table_203_90 ORDER BY "population\n%" DESC LIMIT 1
|
SELECT "religious\ngroup" FROM "table_203_90" ORDER BY "population\n%" DESC NULLS LAST LIMIT 1
| 0.091797 |
CREATE TABLE table_202_31 (id DECIMAL, "year" DECIMAL, "album details" TEXT, "peak chart positions\ us\ billboard 200" DECIMAL, "peak chart positions\ us\ christian" DECIMAL, "peak chart positions\ us\ heatseekers" DECIMAL)
|
how many albums has this band released ?
|
SELECT COUNT("album details") FROM table_202_31
|
SELECT COUNT("album details") FROM "table_202_31"
| 0.047852 |
CREATE TABLE Customers_Cards (card_id INT, customer_id INT, card_type_code VARCHAR, card_number VARCHAR, date_valid_from DATETIME, date_valid_to DATETIME, other_card_details VARCHAR)
CREATE TABLE Accounts (account_id INT, customer_id INT, account_name VARCHAR, other_account_details VARCHAR)
CREATE TABLE Customers (customer_id INT, customer_first_name VARCHAR, customer_last_name VARCHAR, customer_address VARCHAR, customer_phone VARCHAR, customer_email VARCHAR, other_customer_details VARCHAR)
CREATE TABLE Financial_Transactions (transaction_id INT, previous_transaction_id INT, account_id INT, card_id INT, transaction_type VARCHAR, transaction_date DATETIME, transaction_amount DOUBLE, transaction_comment VARCHAR, other_transaction_details VARCHAR)
|
Return a histogram on what are the different card types, and how many cards are there of each?
|
SELECT card_type_code, COUNT(*) FROM Customers_Cards GROUP BY card_type_code
|
SELECT "card_type_code", COUNT(*) FROM "Customers_Cards" GROUP BY "card_type_code"
| 0.080078 |
CREATE TABLE table_19344 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Ground" TEXT, "Crowd" TEXT, "Date" TEXT, "Time" TEXT, "Report" TEXT)
|
What is the total number of attendees where the home team was Port Adelaide?
|
SELECT COUNT("Crowd") FROM table_19344 WHERE "Home team" = 'Port Adelaide'
|
SELECT COUNT("Crowd") FROM "table_19344" WHERE "Home team" = 'Port Adelaide'
| 0.074219 |
CREATE TABLE table_test_14 ("id" INT, "bleeding" INT, "intra_aortic_balloon_pump_iabp" BOOLEAN, "systolic_blood_pressure_sbp" INT, "haemoglobin" FLOAT, "severe_hypertension" BOOLEAN, "platelets" INT, "neutrophil_count" INT, "renal_disease" BOOLEAN, "severe_thrombocytopenia" BOOLEAN, "fasting_blood_glucose_fbg" FLOAT, "creatinine_clearance_cl" FLOAT, "neutropenia" INT, "estimated_glomerular_filtration_rate_egfr" INT, "cardiogenic_shock" BOOLEAN, "platelet_count" FLOAT, "iv_pressors" BOOLEAN, "hemodynamic_instability" BOOLEAN, "diastolic_blood_pressure_dbp" INT, "cr" INT, "low_density_lipoprotein_ldl_cholesterol" INT, "NOUSE" FLOAT)
|
severe hypertension ( systolic bp > 200 mm hg or diastolic bp > 110 mm hg ) not controlled on antihypertensive therapy
|
SELECT * FROM table_test_14 WHERE severe_hypertension = 1 OR (systolic_blood_pressure_sbp > 200 OR diastolic_blood_pressure_dbp > 110)
|
SELECT * FROM "table_test_14" WHERE "diastolic_blood_pressure_dbp" > 110 OR "severe_hypertension" = 1 OR "systolic_blood_pressure_sbp" > 200
| 0.136719 |
CREATE TABLE table_23378 ("Year" TEXT, "Division" TEXT, "League" TEXT, "Regular Season" TEXT, "Playoffs" TEXT, "Open Cup" TEXT)
|
When 1995 is the year what is the open cup?
|
SELECT "Open Cup" FROM table_23378 WHERE "Year" = '1995'
|
SELECT "Open Cup" FROM "table_23378" WHERE "Year" = '1995'
| 0.056641 |
CREATE TABLE Elimination (Elimination_ID TEXT, Wrestler_ID TEXT, Team TEXT, Eliminated_By TEXT, Elimination_Move TEXT, Time TEXT)
CREATE TABLE wrestler (Wrestler_ID INT, Name TEXT, Reign TEXT, Days_held TEXT, Location TEXT, Event TEXT)
|
Compute the total the number of location across location as a pie chart.
|
SELECT Location, COUNT(Location) FROM wrestler GROUP BY Location
|
SELECT "Location", COUNT("Location") FROM "wrestler" GROUP BY "Location"
| 0.070313 |
CREATE TABLE table_name_85 (date VARCHAR, result VARCHAR)
|
On what date was the result w 28 7?
|
SELECT date FROM table_name_85 WHERE result = "w 28–7"
|
SELECT "date" FROM "table_name_85" WHERE "result" = "w 28–7"
| 0.058594 |
CREATE TABLE table_22485 ("Township" TEXT, "County" TEXT, "Pop. ( 2010 ) " FLOAT, "Land ( sqmi ) " TEXT, "Water ( sqmi ) " TEXT, "Latitude" TEXT, "Longitude" TEXT, "GEO ID" FLOAT, "ANSI code" FLOAT)
|
How many ansi codes are there for longitude 46.415037?
|
SELECT COUNT("ANSI code") FROM table_22485 WHERE "Latitude" = '46.415037'
|
SELECT COUNT("ANSI code") FROM "table_22485" WHERE "Latitude" = '46.415037'
| 0.073242 |
CREATE TABLE table_name_81 (votes VARCHAR, residence VARCHAR)
|
How many Votes, when the Residence is Halifax?
|
SELECT votes FROM table_name_81 WHERE residence = "halifax"
|
SELECT "votes" FROM "table_name_81" WHERE "halifax" = "residence"
| 0.063477 |
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 lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
|
what are the four most commonly prescribed drugs since 1 year ago?
|
SELECT t1.drugname FROM (SELECT medication.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM medication WHERE DATETIME(medication.drugstarttime) >= DATETIME(CURRENT_TIME(), '-1 year') GROUP BY medication.drugname) AS t1 WHERE t1.c1 <= 4
|
WITH "t1" AS (SELECT "medication"."drugname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "medication" WHERE DATETIME("medication"."drugstarttime") >= DATETIME(CURRENT_TIME(), '-1 year') GROUP BY "medication"."drugname") SELECT "t1"."drugname" FROM "t1" AS "t1" WHERE "t1"."c1" <= 4
| 0.297852 |
CREATE TABLE table_23718905_6 (attendance VARCHAR, stadium VARCHAR)
|
How many different items appear in he attendance column at Sun Devil Stadium?
|
SELECT COUNT(attendance) FROM table_23718905_6 WHERE stadium = "Sun Devil stadium"
|
SELECT COUNT("attendance") FROM "table_23718905_6" WHERE "Sun Devil stadium" = "stadium"
| 0.085938 |
CREATE TABLE market (market_id DECIMAL, country TEXT, number_cities DECIMAL)
CREATE TABLE film_market_estimation (estimation_id DECIMAL, low_estimate DECIMAL, high_estimate DECIMAL, film_id DECIMAL, type TEXT, market_id DECIMAL, year DECIMAL)
CREATE TABLE film (film_id DECIMAL, title TEXT, studio TEXT, director TEXT, gross_in_dollar DECIMAL)
|
Who are the different directors of films which had market estimation in 1995?
|
SELECT DISTINCT T1.director FROM film AS T1 JOIN film_market_estimation AS T2 ON T1.film_id = T2.film_id WHERE T2.year = 1995
|
SELECT DISTINCT "T1"."director" FROM "film" AS "T1" JOIN "film_market_estimation" AS "T2" ON "T1"."film_id" = "T2"."film_id" AND "T2"."year" = 1995
| 0.143555 |
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE 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 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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE 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 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 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 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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
|
is the heart rate of patient 23475 measured at 2105-06-29 16:00:00 greater than measured at 2105-06-29 15:00:00?
|
SELECT (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 23475)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'heart rate' AND d_items.linksto = 'chartevents') AND chartevents.charttime = '2105-06-29 16:00:00') > (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 23475)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'heart rate' AND d_items.linksto = 'chartevents') AND chartevents.charttime = '2105-06-29 15:00:00')
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 23475 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'heart rate' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid"), "_u_5" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_4" ON "_u_4"."" = "icustays"."hadm_id" WHERE NOT "_u_4"."" IS NULL GROUP BY "icustay_id") SELECT (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_5" AS "_u_5" ON "_u_5"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_6" ON "_u_6"."" = "chartevents"."itemid" WHERE "chartevents"."charttime" = '2105-06-29 15:00:00' AND NOT "_u_5"."" IS NULL AND NOT "_u_6"."" IS NULL) < (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."charttime" = '2105-06-29 16:00:00' AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL)
| 1.19043 |
CREATE TABLE table_name_92 (method VARCHAR, record VARCHAR)
|
What was the method of resolution when Mikhail Ilyukhin's record was 4-0?
|
SELECT method FROM table_name_92 WHERE record = "4-0"
|
SELECT "method" FROM "table_name_92" WHERE "4-0" = "record"
| 0.057617 |
CREATE TABLE Invoice_Items (Invoice_Item_ID INT, Invoice_ID INT, Order_ID INT, Order_Item_ID INT, Product_ID INT, Order_Quantity INT, Other_Item_Details VARCHAR)
CREATE TABLE Invoices (Invoice_ID INT, Order_ID INT, payment_method_code CHAR, Product_ID INT, Order_Quantity VARCHAR, Other_Item_Details VARCHAR, Order_Item_ID INT)
CREATE TABLE Order_Items (Order_Item_ID INT, Order_ID INT, Product_ID INT, Order_Quantity VARCHAR, Other_Item_Details VARCHAR)
CREATE TABLE Addresses (Address_ID VARCHAR, Line_1 VARCHAR, Line_2 VARCHAR, City_Town VARCHAR, State_County VARCHAR, Other_Details VARCHAR)
CREATE TABLE Bookings (Booking_ID INT, Customer_ID INT, Workshop_Group_ID VARCHAR, Status_Code CHAR, Store_ID INT, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR)
CREATE TABLE Clients (Client_ID INT, Address_ID INT, Customer_Email_Address VARCHAR, Customer_Name VARCHAR, Customer_Phone VARCHAR, Other_Details VARCHAR)
CREATE TABLE Performers_in_Bookings (Order_ID INT, Performer_ID INT)
CREATE TABLE Stores (Store_ID VARCHAR, Address_ID INT, Marketing_Region_Code CHAR, Store_Name VARCHAR, Store_Phone VARCHAR, Store_Email_Address VARCHAR, Other_Details VARCHAR)
CREATE TABLE Products (Product_ID VARCHAR, Product_Name VARCHAR, Product_Price DECIMAL, Product_Description VARCHAR, Other_Product_Service_Details VARCHAR)
CREATE TABLE Ref_Service_Types (Service_Type_Code CHAR, Parent_Service_Type_Code CHAR, Service_Type_Description VARCHAR)
CREATE TABLE Services (Service_ID INT, Service_Type_Code CHAR, Workshop_Group_ID INT, Product_Description VARCHAR, Product_Name VARCHAR, Product_Price DECIMAL, Other_Product_Service_Details VARCHAR)
CREATE TABLE Marketing_Regions (Marketing_Region_Code CHAR, Marketing_Region_Name VARCHAR, Marketing_Region_Descriptrion VARCHAR, Other_Details VARCHAR)
CREATE TABLE Bookings_Services (Order_ID INT, Product_ID INT)
CREATE TABLE Customer_Orders (Order_ID INT, Customer_ID INT, Store_ID INT, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR)
CREATE TABLE Ref_Payment_Methods (payment_method_code CHAR, payment_method_description VARCHAR)
CREATE TABLE Performers (Performer_ID INT, Address_ID INT, Customer_Name VARCHAR, Customer_Phone VARCHAR, Customer_Email_Address VARCHAR, Other_Details VARCHAR)
CREATE TABLE Drama_Workshop_Groups (Workshop_Group_ID INT, Address_ID INT, Currency_Code CHAR, Marketing_Region_Code CHAR, Store_Name VARCHAR, Store_Phone VARCHAR, Store_Email_Address VARCHAR, Other_Details VARCHAR)
CREATE TABLE Customers (Customer_ID VARCHAR, Address_ID INT, Customer_Name VARCHAR, Customer_Phone VARCHAR, Customer_Email_Address VARCHAR, Other_Details VARCHAR)
|
A bar chart for what are the number of the descriptions of the service types with product price above 100?, and could you list in descending by the how many service type description please?
|
SELECT Service_Type_Description, COUNT(Service_Type_Description) FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code WHERE T2.Product_Price > 100 GROUP BY Service_Type_Description ORDER BY COUNT(Service_Type_Description) DESC
|
SELECT "Service_Type_Description", COUNT("Service_Type_Description") FROM "Ref_Service_Types" AS "T1" JOIN "Services" AS "T2" ON "T1"."Service_Type_Code" = "T2"."Service_Type_Code" AND "T2"."Product_Price" > 100 GROUP BY "Service_Type_Description" ORDER BY COUNT("Service_Type_Description") DESC NULLS LAST
| 0.298828 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
|
what is maximum age of patients whose gender is m and year of birth is greater than 2080?
|
SELECT MAX(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.dob_year > "2080"
|
SELECT MAX("demographic"."age") FROM "demographic" WHERE "2080" < "demographic"."dob_year" AND "M" = "demographic"."gender"
| 0.120117 |
CREATE TABLE table_name_68 (surface VARCHAR, score VARCHAR)
|
What kind of Surface has a Score of 6 4, 0 6, 6 2?
|
SELECT surface FROM table_name_68 WHERE score = "6–4, 0–6, 6–2"
|
SELECT "surface" FROM "table_name_68" WHERE "6–4, 0–6, 6–2" = "score"
| 0.067383 |
CREATE TABLE table_name_63 (drawn VARCHAR, lost VARCHAR, bonus_points VARCHAR)
|
What is Drawn, when Lost is 14, and when Bonus Points is 12?
|
SELECT drawn FROM table_name_63 WHERE lost = "14" AND bonus_points = "12"
|
SELECT "drawn" FROM "table_name_63" WHERE "12" = "bonus_points" AND "14" = "lost"
| 0.079102 |
CREATE TABLE table_name_2 (notes VARCHAR, position VARCHAR)
|
What were the notes when his position was 10th?
|
SELECT notes FROM table_name_2 WHERE position = "10th"
|
SELECT "notes" FROM "table_name_2" WHERE "10th" = "position"
| 0.058594 |
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)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE 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)
|
how many days had it been since the first time patient 005-87465 has received a procedure on the current hospital encounter?
|
SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', treatment.treatmenttime)) FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '005-87465' AND patient.hospitaldischargetime IS NULL)) ORDER BY treatment.treatmenttime LIMIT 1
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '005-87465' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "treatment"."treatmenttime")) FROM "treatment" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL ORDER BY "treatment"."treatmenttime" NULLS FIRST LIMIT 1
| 0.65332 |
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)
|
what is days of hospital stay and primary disease of subject id 8440?
|
SELECT demographic.days_stay, demographic.diagnosis FROM demographic WHERE demographic.subject_id = "8440"
|
SELECT "demographic"."days_stay", "demographic"."diagnosis" FROM "demographic" WHERE "8440" = "demographic"."subject_id"
| 0.117188 |
CREATE TABLE table_name_87 (round VARCHAR, opponent VARCHAR)
|
How many rounds was the bout against bobby rehman?
|
SELECT round FROM table_name_87 WHERE opponent = "bobby rehman"
|
SELECT "round" FROM "table_name_87" WHERE "bobby rehman" = "opponent"
| 0.067383 |
CREATE TABLE table_46915 ("Year" FLOAT, "Winner" TEXT, "Jockey" TEXT, "Trainer" TEXT, "Owner" TEXT)
|
What is the earliest year Stuart Janney III was an owner?
|
SELECT MIN("Year") FROM table_46915 WHERE "Owner" = 'stuart janney iii'
|
SELECT MIN("Year") FROM "table_46915" WHERE "Owner" = 'stuart janney iii'
| 0.071289 |
CREATE TABLE table_name_77 (round INT, opponent VARCHAR)
|
What is the highest round reached by an oppo ent of JR schumacher?
|
SELECT MAX(round) FROM table_name_77 WHERE opponent = "jr schumacher"
|
SELECT MAX("round") FROM "table_name_77" WHERE "jr schumacher" = "opponent"
| 0.073242 |
CREATE TABLE table_27155990_1 (total_usd INT, creator VARCHAR)
|
What was the maximum total USD collected by Pebble Technology?
|
SELECT MAX(total_usd) FROM table_27155990_1 WHERE creator = "Pebble Technology"
|
SELECT MAX("total_usd") FROM "table_27155990_1" WHERE "Pebble Technology" = "creator"
| 0.083008 |
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 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 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 d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
|
what exactly does ileal conduitogram mean?
|
SELECT d_icd_diagnoses.long_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'ileal conduitogram' UNION SELECT d_icd_procedures.long_title FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'ileal conduitogram'
|
SELECT "d_icd_diagnoses"."long_title" FROM "d_icd_diagnoses" WHERE "d_icd_diagnoses"."short_title" = 'ileal conduitogram' UNION SELECT "d_icd_procedures"."long_title" FROM "d_icd_procedures" WHERE "d_icd_procedures"."short_title" = 'ileal conduitogram'
| 0.246094 |
CREATE TABLE table_56095 ("Round" TEXT, "Pick" TEXT, "Player" TEXT, "Position" TEXT, "Nationality" TEXT, "Team" TEXT, "College" TEXT)
|
Which player went to the College of Wyoming?
|
SELECT "Player" FROM table_56095 WHERE "College" = 'wyoming'
|
SELECT "Player" FROM "table_56095" WHERE "College" = 'wyoming'
| 0.060547 |
CREATE TABLE domain_keyword (did INT, kid INT)
CREATE TABLE cite (cited INT, citing INT)
CREATE TABLE publication (abstract VARCHAR, cid INT, citation_num INT, jid INT, pid INT, reference_num INT, title VARCHAR, year INT)
CREATE TABLE domain (did INT, name VARCHAR)
CREATE TABLE writes (aid INT, pid INT)
CREATE TABLE author (aid INT, homepage VARCHAR, name VARCHAR, oid INT)
CREATE TABLE organization (continent VARCHAR, homepage VARCHAR, name VARCHAR, oid INT)
CREATE TABLE domain_author (aid INT, did INT)
CREATE TABLE domain_journal (did INT, jid INT)
CREATE TABLE domain_conference (cid INT, did INT)
CREATE TABLE publication_keyword (kid INT, pid INT)
CREATE TABLE conference (cid INT, homepage VARCHAR, name VARCHAR)
CREATE TABLE journal (homepage VARCHAR, jid INT, name VARCHAR)
CREATE TABLE domain_publication (did INT, pid INT)
CREATE TABLE keyword (keyword VARCHAR, kid INT)
|
return me the paper in Databases area with the most citations .
|
SELECT publication.title FROM domain, domain_publication, publication WHERE domain.did = domain_publication.did AND domain.name = 'Databases' AND publication.pid = domain_publication.pid ORDER BY publication.citation_num DESC LIMIT 1
|
SELECT "publication"."title" FROM "domain" JOIN "domain_publication" ON "domain"."did" = "domain_publication"."did" JOIN "publication" ON "domain_publication"."pid" = "publication"."pid" WHERE "domain"."name" = 'Databases' ORDER BY "publication"."citation_num" DESC NULLS LAST LIMIT 1
| 0.277344 |
CREATE TABLE table_32695 ("Year" TEXT, "Date" TEXT, "Stages" TEXT, "Distance" TEXT, "Winner" TEXT)
|
Who won in 1965?
|
SELECT "Winner" FROM table_32695 WHERE "Year" = '1965'
|
SELECT "Winner" FROM "table_32695" WHERE "Year" = '1965'
| 0.054688 |
CREATE TABLE table_13146 ("Player" TEXT, "Country" TEXT, "Year ( s ) won" TEXT, "Total" FLOAT, "To par" TEXT, "Finish" TEXT)
|
Which Total has a Finish of t59?
|
SELECT MIN("Total") FROM table_13146 WHERE "Finish" = 't59'
|
SELECT MIN("Total") FROM "table_13146" WHERE "Finish" = 't59'
| 0.05957 |
CREATE TABLE table_2797 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
|
If the location attendance is the Verizon Center 20,173, what is the date?
|
SELECT "Date" FROM table_2797 WHERE "Location Attendance" = 'Verizon Center 20,173'
|
SELECT "Date" FROM "table_2797" WHERE "Location Attendance" = 'Verizon Center 20,173'
| 0.083008 |
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
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 diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE 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 lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
|
what is the maximum total cost of the hospital, which includes the laboratory urinary sodium test?
|
SELECT MAX(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.patientunitstayid IN (SELECT lab.patientunitstayid FROM lab WHERE lab.labname = 'urinary sodium')) GROUP BY cost.patienthealthsystemstayid) AS t1
|
WITH "_u_0" AS (SELECT "lab"."patientunitstayid" FROM "lab" WHERE "lab"."labname" = 'urinary sodium' GROUP BY "patientunitstayid"), "_u_1" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patienthealthsystemstayid"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "cost"."patienthealthsystemstayid" WHERE NOT "_u_1"."" IS NULL GROUP BY "cost"."patienthealthsystemstayid") SELECT MAX("t1"."c1") FROM "t1" AS "t1"
| 0.572266 |
CREATE TABLE table_8773 ("Song" TEXT, "Original Name" TEXT, "Country" TEXT, "Language" TEXT, "Singer ( s ) " TEXT)
|
What is the original name of the song performed in Swedish?
|
SELECT "Original Name" FROM table_8773 WHERE "Language" = 'swedish'
|
SELECT "Original Name" FROM "table_8773" WHERE "Language" = 'swedish'
| 0.067383 |
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 treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
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 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 allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
|
count the number of patients who had been diagnosed with cardiac arrest within 2 months after they had been diagnosed with acute renal failure in 2104.
|
SELECT COUNT(DISTINCT t1.uniquepid) FROM (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'cardiac arrest' AND STRFTIME('%y', diagnosis.diagnosistime) = '2104') AS t1 JOIN (SELECT patient.uniquepid, diagnosis.diagnosistime FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'acute renal failure' AND STRFTIME('%y', diagnosis.diagnosistime) = '2104') AS t2 WHERE t1.diagnosistime < t2.diagnosistime AND DATETIME(t2.diagnosistime) BETWEEN DATETIME(t1.diagnosistime) AND DATETIME(t1.diagnosistime, '+2 month')
|
SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "diagnosis" AS "diagnosis_2" ON "diagnosis"."diagnosistime" < "diagnosis_2"."diagnosistime" AND "diagnosis_2"."diagnosisname" = 'acute renal failure' AND DATETIME("diagnosis"."diagnosistime") <= DATETIME("diagnosis_2"."diagnosistime") AND DATETIME("diagnosis"."diagnosistime", '+2 month') >= DATETIME("diagnosis_2"."diagnosistime") AND STRFTIME('%y', "diagnosis_2"."diagnosistime") = '2104' JOIN "patient" AS "patient_2" ON "diagnosis_2"."patientunitstayid" = "patient_2"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'cardiac arrest' AND STRFTIME('%y', "diagnosis"."diagnosistime") = '2104'
| 0.732422 |
CREATE TABLE table_77243 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" FLOAT, "Money ( $ ) " FLOAT)
|
Which country's score of 72-77-69-74=292 resulted in a reward of over $5,500?
|
SELECT "Country" FROM table_77243 WHERE "Money ( $ )" > '5,500' AND "Score" = '72-77-69-74=292'
|
SELECT "Country" FROM "table_77243" WHERE "Money ( $ )" > '5,500' AND "Score" = '72-77-69-74=292'
| 0.094727 |
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code 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 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 fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
|
show me flights on sunday going from SAN FRANCISCO to BOSTON nonstop FIRST class leaving after 1200
|
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 AS DATE_DAY_0, date_day AS DATE_DAY_1, days AS DAYS_0, days AS DAYS_1, fare, fare_basis AS FARE_BASIS_0, fare_basis AS FARE_BASIS_1, flight, flight_fare WHERE ((((DATE_DAY_0.day_number = 27 AND DATE_DAY_0.month_number = 8 AND DATE_DAY_0.year = 1991 AND DATE_DAY_1.day_number = 27 AND DATE_DAY_1.month_number = 8 AND DATE_DAY_1.year = 1991 AND DAYS_0.day_name = DATE_DAY_0.day_name AND DAYS_1.day_name = DATE_DAY_1.day_name AND FARE_BASIS_0.class_type = 'FIRST' AND FARE_BASIS_1.basis_days = DAYS_1.days_code AND fare.fare_basis_code = FARE_BASIS_0.fare_basis_code AND fare.fare_basis_code = FARE_BASIS_1.fare_basis_code AND flight_fare.fare_id = fare.fare_id AND flight.flight_days = DAYS_0.days_code AND flight.flight_id = flight_fare.flight_id) AND flight.departure_time > 1200) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'SAN FRANCISCO' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.stops = 0
|
SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "date_day" AS "DATE_DAY_0" ON "DATE_DAY_0"."day_number" = 27 AND "DATE_DAY_0"."month_number" = 8 AND "DATE_DAY_0"."year" = 1991 JOIN "date_day" AS "DATE_DAY_1" ON "DATE_DAY_1"."day_number" = 27 AND "DATE_DAY_1"."month_number" = 8 AND "DATE_DAY_1"."year" = 1991 JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'SAN FRANCISCO' JOIN "days" AS "DAYS_0" ON "DATE_DAY_0"."day_name" = "DAYS_0"."day_name" JOIN "days" AS "DAYS_1" ON "DATE_DAY_1"."day_name" = "DAYS_1"."day_name" JOIN "fare_basis" AS "FARE_BASIS_1" ON "DAYS_1"."days_code" = "FARE_BASIS_1"."basis_days" JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "DAYS_0"."days_code" = "flight"."flight_days" AND "flight"."departure_time" > 1200 AND "flight"."stops" = 0 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" = 'BOSTON' JOIN "fare" ON "FARE_BASIS_1"."fare_basis_code" = "fare"."fare_basis_code" AND "fare"."fare_id" = "flight_fare"."fare_id" JOIN "fare_basis" AS "FARE_BASIS_0" ON "FARE_BASIS_0"."class_type" = 'FIRST' AND "FARE_BASIS_0"."fare_basis_code" = "fare"."fare_basis_code"
| 1.424805 |
CREATE TABLE table_10517 ("Order" FLOAT, "Name" TEXT, "Seasons" TEXT, "Games" FLOAT, "Goals" FLOAT)
|
Who had an order of 907 and more than 1 game?
|
SELECT "Name" FROM table_10517 WHERE "Games" > '1' AND "Order" = '907'
|
SELECT "Name" FROM "table_10517" WHERE "Games" > '1' AND "Order" = '907'
| 0.070313 |
CREATE TABLE table_24463470_1 (unlock_order INT, circuit VARCHAR)
|
What is the lowest unlock order for the athens circuit?
|
SELECT MIN(unlock_order) FROM table_24463470_1 WHERE circuit = "Athens"
|
SELECT MIN("unlock_order") FROM "table_24463470_1" WHERE "Athens" = "circuit"
| 0.075195 |
CREATE TABLE bank (branch_ID INT, bname VARCHAR, no_of_customers INT, city VARCHAR, state VARCHAR)
CREATE TABLE loan (loan_ID VARCHAR, loan_type VARCHAR, cust_ID VARCHAR, branch_ID VARCHAR, amount INT)
CREATE TABLE customer (cust_ID VARCHAR, cust_name VARCHAR, acc_type CHAR, acc_bal INT, no_of_loans INT, credit_score INT, branch_ID INT, state VARCHAR)
|
What are the names and account balances of customers with the letter a in their names, order by the x-axis in descending.
|
SELECT cust_name, acc_bal FROM customer WHERE cust_name LIKE '%a%' ORDER BY cust_name DESC
|
SELECT "cust_name", "acc_bal" FROM "customer" WHERE "cust_name" LIKE '%a%' ORDER BY "cust_name" DESC NULLS LAST
| 0.108398 |
CREATE TABLE table_29218 ("Pick #" FLOAT, "CFL Team" TEXT, "Player" TEXT, "Position" TEXT, "College" TEXT)
|
where college is british columbia what are all the player
|
SELECT "Player" FROM table_29218 WHERE "College" = 'British Columbia'
|
SELECT "Player" FROM "table_29218" WHERE "College" = 'British Columbia'
| 0.069336 |
CREATE TABLE table_52672 ("Year" FLOAT, "Movie" TEXT, "Record Held" TEXT, "Studio ( s ) " TEXT, "Nett Gross" FLOAT)
|
What is the total count of net gross in 1957?
|
SELECT COUNT("Nett Gross") FROM table_52672 WHERE "Year" = '1957'
|
SELECT COUNT("Nett Gross") FROM "table_52672" WHERE "Year" = '1957'
| 0.06543 |
CREATE TABLE table_name_18 (official_website VARCHAR, dish VARCHAR, callsign VARCHAR)
|
Name the official website which has dish of and callsign of kvtv
|
SELECT official_website FROM table_name_18 WHERE dish = "•" AND callsign = "kvtv"
|
SELECT "official_website" FROM "table_name_18" WHERE "callsign" = "kvtv" AND "dish" = "•"
| 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 d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE 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 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 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 transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE 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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
have quetiapine fumarate, phenylephrine, or ondansetron been ordered for patient 1372 until 05/2101?
|
SELECT COUNT(*) > 0 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 1372) AND prescriptions.drug IN ('quetiapine fumarate', 'phenylephrine', 'ondansetron') AND STRFTIME('%y-%m', prescriptions.startdate) <= '2101-05'
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 1372 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "prescriptions" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" IN ('quetiapine fumarate', 'phenylephrine', 'ondansetron') AND NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "prescriptions"."startdate") <= '2101-05'
| 0.399414 |
CREATE TABLE technician (Id VARCHAR)
|
How many technicians are there?
|
SELECT COUNT(*) FROM technician
|
SELECT COUNT(*) FROM "technician"
| 0.032227 |
CREATE TABLE customers (customer_id DECIMAL, customer_type_code TEXT, address_line_1 TEXT, address_line_2 TEXT, town_city TEXT, state TEXT, email_address TEXT, phone_number TEXT)
CREATE TABLE products (product_id DECIMAL, parent_product_id DECIMAL, product_category_code TEXT, date_product_first_available TIME, date_product_discontinued TIME, product_name TEXT, product_description TEXT, product_price DECIMAL)
CREATE TABLE complaints (complaint_id DECIMAL, product_id DECIMAL, customer_id DECIMAL, complaint_outcome_code TEXT, complaint_status_code TEXT, complaint_type_code TEXT, date_complaint_raised TIME, date_complaint_closed TIME, staff_id DECIMAL)
CREATE TABLE staff (staff_id DECIMAL, gender TEXT, first_name TEXT, last_name TEXT, email_address TEXT, phone_number TEXT)
|
What are lines 1 and 2 of the addressed of the customer with the email 'vbogisich@example.org'?
|
SELECT address_line_1, address_line_2 FROM customers WHERE email_address = "vbogisich@example.org"
|
SELECT "address_line_1", "address_line_2" FROM "customers" WHERE "email_address" = "vbogisich@example.org"
| 0.103516 |
CREATE TABLE table_15001572_1 (womens_doubles VARCHAR, mens_doubles VARCHAR)
|
What was the competition when there was no competition for mens doubles?
|
SELECT womens_doubles FROM table_15001572_1 WHERE mens_doubles = "No competition"
|
SELECT "womens_doubles" FROM "table_15001572_1" WHERE "No competition" = "mens_doubles"
| 0.084961 |
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 COURSE (CRS_CODE VARCHAR, DEPT_CODE VARCHAR, CRS_DESCRIPTION VARCHAR, CRS_CREDIT FLOAT)
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 CLASS (CLASS_CODE VARCHAR, CRS_CODE VARCHAR, CLASS_SECTION VARCHAR, CLASS_TIME VARCHAR, CLASS_ROOM VARCHAR, PROF_NUM INT)
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 DEPARTMENT (DEPT_CODE VARCHAR, DEPT_NAME VARCHAR, SCHOOL_CODE VARCHAR, EMP_NUM INT, DEPT_ADDRESS VARCHAR, DEPT_EXTENSION VARCHAR)
|
Give me a histogram for what is the first name and GPA of every student that has a GPA lower than average?, and list in ascending by the y-axis.
|
SELECT STU_FNAME, SUM(STU_GPA) FROM STUDENT WHERE STU_GPA < (SELECT AVG(STU_GPA) FROM STUDENT) GROUP BY STU_FNAME ORDER BY SUM(STU_GPA)
|
SELECT "STU_FNAME", SUM("STU_GPA") FROM "STUDENT" WHERE "STU_GPA" < (SELECT AVG("STU_GPA") FROM "STUDENT") GROUP BY "STU_FNAME" ORDER BY SUM("STU_GPA") NULLS FIRST
| 0.15918 |
CREATE TABLE table_203_289 (id DECIMAL, "version" TEXT, "length" TEXT, "album" TEXT, "remixed by" TEXT, "year" DECIMAL, "comment" TEXT)
|
how long was the axwell remix version ?
|
SELECT "length" FROM table_203_289 WHERE "version" = 'axwell remix'
|
SELECT "length" FROM "table_203_289" WHERE "version" = 'axwell remix'
| 0.067383 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
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)
|
get me the number of patients admitted before 2155 who had other diseases of lung, not elsewhere classified diagnoses.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2155" AND diagnoses.short_title = "Other lung disease NEC"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Other lung disease NEC" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2155" > "demographic"."admityear"
| 0.228516 |
CREATE TABLE table_48118 ("Game" FLOAT, "January" FLOAT, "Opponent" TEXT, "Score" TEXT, "Record" TEXT)
|
Which January has an Opponent of toronto maple leafs?
|
SELECT "January" FROM table_48118 WHERE "Opponent" = 'toronto maple leafs'
|
SELECT "January" FROM "table_48118" WHERE "Opponent" = 'toronto maple leafs'
| 0.074219 |
CREATE TABLE broadcast_share (channel_id DECIMAL, program_id DECIMAL, date TEXT, share_in_percent DECIMAL)
CREATE TABLE program (program_id DECIMAL, name TEXT, origin TEXT, launch DECIMAL, owner TEXT)
CREATE TABLE broadcast (channel_id DECIMAL, program_id DECIMAL, time_of_day TEXT)
CREATE TABLE channel (channel_id DECIMAL, name TEXT, owner TEXT, share_in_percent DECIMAL, rating_in_percent DECIMAL)
|
List the name, origin and owner of each program.
|
SELECT name, origin, owner FROM program
|
SELECT "name", "origin", "owner" FROM "program"
| 0.045898 |
CREATE TABLE table_1569516_1 (frequency__per_hour_ VARCHAR, destination VARCHAR)
|
When London Bridge is the destination, what is the frequency?
|
SELECT frequency__per_hour_ FROM table_1569516_1 WHERE destination = "London Bridge"
|
SELECT "frequency__per_hour_" FROM "table_1569516_1" WHERE "London Bridge" = "destination"
| 0.087891 |
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 ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment 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 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 ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
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 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 PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTaskStates (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 ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId 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 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 PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId 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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
|
Users previous names based on their edit history.
|
SELECT UserId, UserDisplayName, COUNT(*) OVER (PARTITION BY UserId) AS No FROM (SELECT DISTINCT UserId, UserDisplayName FROM PostHistory WHERE NOT UserId IS NULL AND NOT UserDisplayName IS NULL) AS p ORDER BY No DESC, UserId
|
WITH "p" AS (SELECT DISTINCT "UserId", "UserDisplayName" FROM "PostHistory" WHERE NOT "UserDisplayName" IS NULL AND NOT "UserId" IS NULL) SELECT "UserId", "UserDisplayName", COUNT(*) OVER (PARTITION BY "UserId") AS "No" FROM "p" AS "p" ORDER BY "No" DESC NULLS LAST, "UserId" NULLS FIRST
| 0.280273 |
CREATE TABLE table_22069 ("Position" FLOAT, "Club" TEXT, "Games played" FLOAT, "Wins" FLOAT, "Draws" FLOAT, "Loses" FLOAT, "Goals scored" FLOAT, "Goals conceded" FLOAT, "Points" FLOAT)
|
How many games had 22 points?
|
SELECT COUNT("Games played") FROM table_22069 WHERE "Points" = '22'
|
SELECT COUNT("Games played") FROM "table_22069" WHERE "Points" = '22'
| 0.067383 |
CREATE TABLE table_name_13 (goals_for VARCHAR, played INT)
|
Name the total number of goals which have played more than 44
|
SELECT COUNT(goals_for) FROM table_name_13 WHERE played > 44
|
SELECT COUNT("goals_for") FROM "table_name_13" WHERE "played" > 44
| 0.064453 |
CREATE TABLE table_28213 ("Countries and Territories" TEXT, "Conditions of access" TEXT, "Length of stay permitted" TEXT, "Fee ( if applicable ) " TEXT, "Access using a Croatian identity card" TEXT)
|
What is the permitted length of stay in the Jersey territory?
|
SELECT "Length of stay permitted" FROM table_28213 WHERE "Countries and Territories" = 'Jersey'
|
SELECT "Length of stay permitted" FROM "table_28213" WHERE "Countries and Territories" = 'Jersey'
| 0.094727 |
CREATE TABLE table_17229 ("State" TEXT, "Norwegian Americans ( 1980 ) " FLOAT, "Percent ( 1980 ) " TEXT, "Norwegian Americans ( 1990 ) " FLOAT, "Percent ( 1990 ) " TEXT, "Norwegian Americans ( 2000 ) " FLOAT, "Percent ( 2000 ) " TEXT, "Norwegian Americans ( 2009 ) " FLOAT, "Percent ( 2009 ) " TEXT)
|
what is the maximum norwegian americans (2000) where norwegian americans (1990) is 9170
|
SELECT MAX("Norwegian Americans (2000)") FROM table_17229 WHERE "Norwegian Americans (1990)" = '9170'
|
SELECT MAX("Norwegian Americans (2000)") FROM "table_17229" WHERE "Norwegian Americans (1990)" = '9170'
| 0.100586 |
CREATE TABLE table_72118 ("Rd" FLOAT, "Name" TEXT, "Pole Position" TEXT, "Fastest Lap" TEXT, "Winning driver" TEXT, "Winning team" TEXT, "Report" TEXT)
|
The race tony bettenhausen 200 has what smallest rd?
|
SELECT MIN("Rd") FROM table_72118 WHERE "Name" = 'Tony Bettenhausen 200'
|
SELECT MIN("Rd") FROM "table_72118" WHERE "Name" = 'Tony Bettenhausen 200'
| 0.072266 |
CREATE TABLE table_name_58 (best INT, team VARCHAR, qual_2 VARCHAR)
|
What is the best time for a rusport driver with a qual 2 time of 1:10.166?
|
SELECT MAX(best) FROM table_name_58 WHERE team = "rusport" AND qual_2 = "1:10.166"
|
SELECT MAX("best") FROM "table_name_58" WHERE "1:10.166" = "qual_2" AND "rusport" = "team"
| 0.087891 |
CREATE TABLE table_62528 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT)
|
What is the Place of the Player with a To par of 6?
|
SELECT "Place" FROM table_62528 WHERE "To par" = '–6'
|
SELECT "Place" FROM "table_62528" WHERE "To par" = '–6'
| 0.053711 |
CREATE TABLE table_name_37 (fleet_id VARCHAR, year_built VARCHAR, seats VARCHAR)
|
For the train built in 2012 with less than 179 seats, what is the Fleet ID?
|
SELECT fleet_id FROM table_name_37 WHERE year_built = "2012" AND seats < 179
|
SELECT "fleet_id" FROM "table_name_37" WHERE "2012" = "year_built" AND "seats" < 179
| 0.082031 |
CREATE TABLE table_21447 ("Team #1" TEXT, "Points" TEXT, "Team #2" TEXT, "1st leg" TEXT, "2nd leg" TEXT)
|
Who played River Plate?
|
SELECT "Team #2" FROM table_21447 WHERE "Team #1" = 'River Plate'
|
SELECT "Team #2" FROM "table_21447" WHERE "Team #1" = 'River Plate'
| 0.06543 |
CREATE TABLE table_58410 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
Which Away team score has Home team score of 13.12 (90)?
|
SELECT "Away team score" FROM table_58410 WHERE "Home team score" = '13.12 (90)'
|
SELECT "Away team score" FROM "table_58410" WHERE "Home team score" = '13.12 (90)'
| 0.080078 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
|
how many patients survived and were diagnosed with icd9 code 5680?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.expire_flag = "1" AND diagnoses.icd9_code = "5680"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "5680" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "1" = "demographic"."expire_flag"
| 0.208008 |
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 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)
|
what is the admission time and diagnosis long title for the patient id 2560?
|
SELECT demographic.admittime, diagnoses.long_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "2560"
|
SELECT "demographic"."admittime", "diagnoses"."long_title" FROM "demographic" JOIN "diagnoses" ON "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2560" = "demographic"."subject_id"
| 0.182617 |
CREATE TABLE table_22288 ("Departure" TEXT, "Going to" TEXT, "Calling at" TEXT, "Arrival" TEXT, "Operator" TEXT)
|
Who was the train operator when the train departed at 11.02 in 1922?
|
SELECT "Operator" FROM table_22288 WHERE "Departure" = '11.02'
|
SELECT "Operator" FROM "table_22288" WHERE "Departure" = '11.02'
| 0.0625 |
CREATE TABLE table_8084 ("Res." TEXT, "Record" TEXT, "Opponent" TEXT, "Method" TEXT, "Event" TEXT, "Round" FLOAT)
|
What is Round, when Event is RITC 89 - Triple Main Event 89?
|
SELECT "Round" FROM table_8084 WHERE "Event" = 'ritc 89 - triple main event 89'
|
SELECT "Round" FROM "table_8084" WHERE "Event" = 'ritc 89 - triple main event 89'
| 0.079102 |
CREATE TABLE table_name_78 (type VARCHAR, tunnel VARCHAR)
|
What Type of Tunnel is the Downhill Tunnel?
|
SELECT type FROM table_name_78 WHERE tunnel = "downhill"
|
SELECT "type" FROM "table_name_78" WHERE "downhill" = "tunnel"
| 0.060547 |
CREATE TABLE table_203_765 (id DECIMAL, "genre" TEXT, "date" TEXT, "japanese title ( original title ) " TEXT, "english title" TEXT, "scoring" TEXT, "notes" TEXT)
|
what was the last year of the television scores in the genre category ?
|
SELECT MAX("date") FROM table_203_765 WHERE "genre" = 'television scores'
|
SELECT MAX("date") FROM "table_203_765" WHERE "genre" = 'television scores'
| 0.073242 |
CREATE TABLE table_name_6 (magnitude VARCHAR, epicenter VARCHAR)
|
What is the magnitude of the earthquake with an epicenter in biskra province?
|
SELECT magnitude FROM table_name_6 WHERE epicenter = "biskra province"
|
SELECT "magnitude" FROM "table_name_6" WHERE "biskra province" = "epicenter"
| 0.074219 |
CREATE TABLE table_name_15 (captain VARCHAR, guns VARCHAR)
|
Tell me the captain for guns of 28
|
SELECT captain FROM table_name_15 WHERE guns = "28"
|
SELECT "captain" FROM "table_name_15" WHERE "28" = "guns"
| 0.055664 |
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 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)
|
How many white ethnic background patients had a protein/creatinine ratio lab test?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.ethnicity = "WHITE" AND lab.label = "Protein/Creatinine Ratio"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Protein/Creatinine Ratio" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "WHITE" = "demographic"."ethnicity"
| 0.208008 |
CREATE TABLE table_name_12 (per_capita_income VARCHAR, county VARCHAR)
|
What is the per capital income for Washington county?
|
SELECT per_capita_income FROM table_name_12 WHERE county = "washington"
|
SELECT "per_capita_income" FROM "table_name_12" WHERE "county" = "washington"
| 0.075195 |
CREATE TABLE table_14185 ("Number & Name" TEXT, "Description" TEXT, "Livery" TEXT, "Owner ( s ) " TEXT, "Date" FLOAT)
|
Which Owner(s) has a Description of hunslet engine company 0-6-0st?
|
SELECT "Owner(s)" FROM table_14185 WHERE "Description" = 'hunslet engine company 0-6-0st'
|
SELECT "Owner(s)" FROM "table_14185" WHERE "Description" = 'hunslet engine company 0-6-0st'
| 0.088867 |
CREATE TABLE table_name_63 (to_par VARCHAR, place VARCHAR, score VARCHAR)
|
What is the To par of the T4 Place Player with a Score of 72-69-73=214?
|
SELECT to_par FROM table_name_63 WHERE place = "t4" AND score = 72 - 69 - 73 = 214
|
SELECT "to_par" FROM "table_name_63" WHERE "place" = "t4" AND "score" = FALSE
| 0.075195 |
CREATE TABLE table_38169 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Record" TEXT, "Game Site" TEXT, "Attendance" FLOAT)
|
What Game Site has a Week smaller than 11, and a Date of october 21, 1973?
|
SELECT "Game Site" FROM table_38169 WHERE "Week" < '11' AND "Date" = 'october 21, 1973'
|
SELECT "Game Site" FROM "table_38169" WHERE "Date" = 'october 21, 1973' AND "Week" < '11'
| 0.086914 |
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 procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
what is religion of subject id 2560?
|
SELECT demographic.religion FROM demographic WHERE demographic.subject_id = "2560"
|
SELECT "demographic"."religion" FROM "demographic" WHERE "2560" = "demographic"."subject_id"
| 0.089844 |
CREATE TABLE table_42689 ("Spoofed Title" TEXT, "Writer" TEXT, "Artist" TEXT, "Issue" FLOAT, "Date" TEXT)
|
Which issue was the Spoofed title Route 67 for which Mort Drucker was the artist?
|
SELECT SUM("Issue") FROM table_42689 WHERE "Artist" = 'mort drucker' AND "Spoofed Title" = 'route 67'
|
SELECT SUM("Issue") FROM "table_42689" WHERE "Artist" = 'mort drucker' AND "Spoofed Title" = 'route 67'
| 0.100586 |
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