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CREATE TABLE table_46028 ("Type" CLOB, "Name" CLOB, "Title" CLOB, "Royal house" CLOB, "From" CLOB)
|
Whose rule began in 1906 BC?
|
SELECT "Name" FROM table_46028 WHERE "From" = '1906 bc'
|
SELECT "Name" FROM "table_46028" WHERE "From" = '1906 bc'
| 0.055664 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
|
count the number of private health insurance patients who have been diagnosed with unspecified rheumatic heart disease.
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SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Private" AND diagnoses.long_title = "Rheumatic heart disease, unspecified"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Rheumatic heart disease, unspecified" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "Private" = "demographic"."insurance"
| 0.244141 |
CREATE TABLE table_30785 ("Player" CLOB, "Matches" FLOAT, "Innings" FLOAT, "Runs" FLOAT, "Average" CLOB, "Highest Score" CLOB, "100s" FLOAT, "50s" FLOAT)
|
What is the average when the 100s is listed as 7?
|
SELECT "Average" FROM table_30785 WHERE "100s" = '7'
|
SELECT "Average" FROM "table_30785" WHERE "100s" = '7'
| 0.052734 |
CREATE TABLE Reviewer (rID NUMBER, name CLOB)
CREATE TABLE Movie (mID NUMBER, title CLOB, year NUMBER, director CLOB)
CREATE TABLE Rating (rID NUMBER, mID NUMBER, stars NUMBER, ratingDate DATE)
|
A bar chart for what are the number of the titles of all movies that have rating star is between 3 and 5?, and could you rank y-axis in ascending order?
|
SELECT title, COUNT(title) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE T1.stars BETWEEN 3 AND 5 GROUP BY title ORDER BY COUNT(title)
|
SELECT "title", COUNT("title") FROM "Rating" "T1" JOIN "Movie" "T2" ON "T1"."mID" = "T2"."mID" WHERE "T1"."stars" <= 5 AND "T1"."stars" >= 3 GROUP BY "title" ORDER BY COUNT("title")
| 0.176758 |
CREATE TABLE table_72124 ("Nation" CLOB, "Population ( thousands ) " FLOAT, "Internet subscriptions ( 2000 ) ( thousands of users ) " FLOAT, "Internet subscriptions ( 2008 ) ( thousands of users ) " FLOAT, "% growth ( 2000\\u20132008 ) " FLOAT, "% Internet users" FLOAT)
|
What is the percentage of growth in 2000-2008 in ethiopia?
|
SELECT "% growth (2000\u20132008)" FROM table_72124 WHERE "Nation" = 'Ethiopia'
|
SELECT "% growth (2000\u20132008)" FROM "table_72124" WHERE "Nation" = 'Ethiopia'
| 0.079102 |
CREATE TABLE table_12391 ("Player" CLOB, "Country" CLOB, "Year ( s ) won" CLOB, "Total" FLOAT, "To par" FLOAT)
|
What Player has a To par less than 15 and a Total of 149?
|
SELECT "Player" FROM table_12391 WHERE "To par" < '15' AND "Total" = '149'
|
SELECT "Player" FROM "table_12391" WHERE "To par" < '15' AND "Total" = '149'
| 0.074219 |
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
|
show all airlines flying from PITTSBURGH to SAN FRANCISCO
|
SELECT DISTINCT airline.airline_code FROM airline, airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN FRANCISCO' AND flight.airline_code = airline.airline_code AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
|
SELECT DISTINCT "airline"."airline_code" FROM "airline" JOIN "flight" ON "airline"."airline_code" = "flight"."airline_code" JOIN "airport_service" "AIRPORT_SERVICE_0" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PITTSBURGH' JOIN "city" "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'SAN FRANCISCO'
| 0.5625 |
CREATE TABLE table_63508 ("Total fat" CLOB, "Saturated fat" CLOB, "Monounsaturated fat" CLOB, "Polyunsaturated fat" CLOB, "Smoke point" CLOB)
|
What is the saturated fat with 28g of polyunsaturated fat?
|
SELECT "Saturated fat" FROM table_63508 WHERE "Polyunsaturated fat" = '28g'
|
SELECT "Saturated fat" FROM "table_63508" WHERE "Polyunsaturated fat" = '28g'
| 0.075195 |
CREATE TABLE table_24323 ("Outcome" CLOB, "Year" FLOAT, "Championship" CLOB, "Surface" CLOB, "Partner" CLOB, "Opponents in the final" CLOB, "Score" CLOB)
|
What was the result of the match on grass in 1955?
|
SELECT "Outcome" FROM table_24323 WHERE "Surface" = 'Grass' AND "Year" = '1955'
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SELECT "Outcome" FROM "table_24323" WHERE "Surface" = 'Grass' AND "Year" = '1955'
| 0.079102 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
|
had in the previous month patient 008-46802's sao2 been normal?
|
SELECT COUNT(*) > 0 FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '008-46802')) AND vitalperiodic.sao2 BETWEEN sao2_lower AND sao2_upper AND NOT vitalperiodic.sao2 IS NULL AND DATETIME(vitalperiodic.observationtime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month')
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '008-46802' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "vitalperiodic" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "vitalperiodic"."patientunitstayid" WHERE "sao2_lower" <= "vitalperiodic"."sao2" AND "sao2_upper" >= "vitalperiodic"."sao2" AND DATETIME("vitalperiodic"."observationtime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_1"."" IS NULL AND NOT "vitalperiodic"."sao2" IS NULL
| 0.728516 |
CREATE TABLE table_name_23 (player VARCHAR2, to_par VARCHAR2, score VARCHAR2)
|
What player has +3 to par and score of 75-72=147?
|
SELECT player FROM table_name_23 WHERE to_par = "+3" AND score = 75 - 72 = 147
|
SELECT "player" FROM "table_name_23" WHERE "+3" = "to_par" AND "score" = FALSE
| 0.076172 |
CREATE TABLE table_204_414 (id NUMBER, "name" CLOB, "armenian" CLOB, "location" CLOB, "# of prisoners designed for" NUMBER, "notes" CLOB)
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name the location used the most number of times in the table .
|
SELECT "location" FROM table_204_414 GROUP BY "location" ORDER BY COUNT(*) DESC LIMIT 1
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SELECT "location" FROM "table_204_414" GROUP BY "location" ORDER BY COUNT(*) DESC FETCH FIRST 1 ROWS ONLY
| 0.102539 |
CREATE TABLE table_25507 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
|
Name the score for madison square garden 18,828
|
SELECT "Score" FROM table_25507 WHERE "Location Attendance" = 'Madison Square Garden 18,828'
|
SELECT "Score" FROM "table_25507" WHERE "Location Attendance" = 'Madison Square Garden 18,828'
| 0.091797 |
CREATE TABLE table_2119448_3 (won_promotion VARCHAR2, lost_promotion_playoffs VARCHAR2)
|
Name the won promotion for kalmar ff
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SELECT won_promotion FROM table_2119448_3 WHERE lost_promotion_playoffs = "Kalmar FF"
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SELECT "won_promotion" FROM "table_2119448_3" WHERE "Kalmar FF" = "lost_promotion_playoffs"
| 0.088867 |
CREATE TABLE table_name_44 (opponent VARCHAR2, city VARCHAR2)
|
Who was the opponent when the city was Louisville?
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SELECT opponent FROM table_name_44 WHERE city = "louisville"
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SELECT "opponent" FROM "table_name_44" WHERE "city" = "louisville"
| 0.064453 |
CREATE TABLE table_1603807_2 (status VARCHAR2, line VARCHAR2)
|
What is the status of the airport line?
|
SELECT status FROM table_1603807_2 WHERE line = "Airport line"
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SELECT "status" FROM "table_1603807_2" WHERE "Airport line" = "line"
| 0.066406 |
CREATE TABLE table_name_36 (rider VARCHAR2, grid VARCHAR2)
|
Who has 37 grids?
|
SELECT rider FROM table_name_36 WHERE grid = 37
|
SELECT "rider" FROM "table_name_36" WHERE "grid" = 37
| 0.051758 |
CREATE TABLE table_name_85 (overall NUMBER, round VARCHAR2, position VARCHAR2)
|
WHAT IS THE AVERAGE OVERALL WITH A ROUND LARGER THAN 9, AND RB POSITION?
|
SELECT AVG(overall) FROM table_name_85 WHERE round > 9 AND position = "rb"
|
SELECT AVG("overall") FROM "table_name_85" WHERE "position" = "rb" AND "round" > 9
| 0.080078 |
CREATE TABLE table_72366 ("District" CLOB, "Incumbent" CLOB, "Party" CLOB, "First elected" FLOAT, "Results" CLOB, "Candidates" CLOB)
|
How many times did incumbent ruben hinojosa get elected?
|
SELECT COUNT("Results") FROM table_72366 WHERE "Incumbent" = 'Ruben Hinojosa'
|
SELECT COUNT("Results") FROM "table_72366" WHERE "Incumbent" = 'Ruben Hinojosa'
| 0.077148 |
CREATE TABLE table_70564 ("Year" FLOAT, "Class" CLOB, "Team" CLOB, "Points" FLOAT, "Wins" FLOAT)
|
For Team AJS, what is the total number of points for drivers with 0 wins?
|
SELECT COUNT("Points") FROM table_70564 WHERE "Team" = 'ajs' AND "Wins" < '0'
|
SELECT COUNT("Points") FROM "table_70564" WHERE "Team" = 'ajs' AND "Wins" < '0'
| 0.077148 |
CREATE TABLE table_44461 ("Place" CLOB, "Player" CLOB, "Country" CLOB, "Score" CLOB, "To par" CLOB)
|
What is the Player that has a To standard of 4?
|
SELECT "Player" FROM table_44461 WHERE "To par" = '–4'
|
SELECT "Player" FROM "table_44461" WHERE "To par" = '–4'
| 0.054688 |
CREATE TABLE table_11748 ("Driver" CLOB, "Constructor" CLOB, "Laps" FLOAT, "Time/Retired" CLOB, "Grid" FLOAT)
|
I want the highest grid for Laps of 38
|
SELECT MAX("Grid") FROM table_11748 WHERE "Laps" = '38'
|
SELECT MAX("Grid") FROM "table_11748" WHERE "Laps" = '38'
| 0.055664 |
CREATE TABLE table_name_66 (kickoff_ VARCHAR2, a_ VARCHAR2, record VARCHAR2)
|
When was the kickoff during a game with a record of 1-7?
|
SELECT kickoff_ AS "a_" FROM table_name_66 WHERE record = "1-7"
|
SELECT "kickoff_" AS "a_" FROM "table_name_66" WHERE "1-7" = "record"
| 0.067383 |
CREATE TABLE table_1473672_5 (player VARCHAR2, nhl_team VARCHAR2)
|
What player was picked by the Minnesota North Stars?
|
SELECT player FROM table_1473672_5 WHERE nhl_team = "Minnesota North Stars"
|
SELECT "player" FROM "table_1473672_5" WHERE "Minnesota North Stars" = "nhl_team"
| 0.079102 |
CREATE TABLE artist (Artist_ID NUMBER, Name CLOB, Country CLOB, Year_Join NUMBER, Age NUMBER)
CREATE TABLE exhibition_record (Exhibition_ID NUMBER, Date CLOB, Attendance NUMBER)
CREATE TABLE exhibition (Exhibition_ID NUMBER, Year NUMBER, Theme CLOB, Artist_ID NUMBER, Ticket_Price FLOAT)
|
Show all artist names and the number of exhibitions for each artist Show bar chart, list total number from low to high order.
|
SELECT Name, COUNT(*) FROM exhibition AS T1 JOIN artist AS T2 ON T1.Artist_ID = T2.Artist_ID GROUP BY T1.Artist_ID ORDER BY COUNT(*)
|
SELECT "Name", COUNT(*) FROM "exhibition" "T1" JOIN "artist" "T2" ON "T1"."Artist_ID" = "T2"."Artist_ID" GROUP BY "T1"."Artist_ID" ORDER BY COUNT(*)
| 0.144531 |
CREATE TABLE table_43541 ("Round" FLOAT, "Race Name" CLOB, "Circuit" CLOB, "City/Location" CLOB, "Date" CLOB)
|
Which round had a city/location of Toronto, Ontario?
|
SELECT "Round" FROM table_43541 WHERE "City/Location" = 'toronto, ontario'
|
SELECT "Round" FROM "table_43541" WHERE "City/Location" = 'toronto, ontario'
| 0.074219 |
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
|
what is language of subject id 52118?
|
SELECT demographic.language FROM demographic WHERE demographic.subject_id = "52118"
|
SELECT "demographic"."language" FROM "demographic" WHERE "52118" = "demographic"."subject_id"
| 0.09082 |
CREATE TABLE program_requirement (program_id NUMBER, category VARCHAR2, min_credit NUMBER, additional_req VARCHAR2)
CREATE TABLE student (student_id NUMBER, lastname VARCHAR2, firstname VARCHAR2, program_id NUMBER, declare_major VARCHAR2, total_credit NUMBER, total_gpa FLOAT, entered_as VARCHAR2, admit_term NUMBER, predicted_graduation_semester NUMBER, degree VARCHAR2, minor VARCHAR2, internship VARCHAR2)
CREATE TABLE program (program_id NUMBER, name VARCHAR2, college VARCHAR2, introduction VARCHAR2)
CREATE TABLE student_record (student_id NUMBER, course_id NUMBER, semester NUMBER, grade VARCHAR2, how VARCHAR2, transfer_source VARCHAR2, earn_credit VARCHAR2, repeat_term VARCHAR2, test_id VARCHAR2)
CREATE TABLE course_tags_count (course_id NUMBER, clear_grading NUMBER, pop_quiz NUMBER, group_projects NUMBER, inspirational NUMBER, long_lectures NUMBER, extra_credit NUMBER, few_tests NUMBER, good_feedback NUMBER, tough_tests NUMBER, heavy_papers NUMBER, cares_for_students NUMBER, heavy_assignments NUMBER, respected NUMBER, participation NUMBER, heavy_reading NUMBER, tough_grader NUMBER, hilarious NUMBER, would_take_again NUMBER, good_lecture NUMBER, no_skip NUMBER)
CREATE TABLE offering_instructor (offering_instructor_id NUMBER, offering_id NUMBER, instructor_id NUMBER)
CREATE TABLE ta (campus_job_id NUMBER, student_id NUMBER, location VARCHAR2)
CREATE TABLE program_course (program_id NUMBER, course_id NUMBER, workload NUMBER, category VARCHAR2)
CREATE TABLE gsi (course_offering_id NUMBER, student_id NUMBER)
CREATE TABLE course_prerequisite (pre_course_id NUMBER, course_id NUMBER)
CREATE TABLE instructor (instructor_id NUMBER, name VARCHAR2, uniqname VARCHAR2)
CREATE TABLE semester (semester_id NUMBER, semester VARCHAR2, year NUMBER)
CREATE TABLE area (course_id NUMBER, area VARCHAR2)
CREATE TABLE comment_instructor (instructor_id NUMBER, student_id NUMBER, score NUMBER, comment_text VARCHAR2)
CREATE TABLE course (course_id NUMBER, name VARCHAR2, department VARCHAR2, number VARCHAR2, credits VARCHAR2, advisory_requirement VARCHAR2, enforced_requirement VARCHAR2, description VARCHAR2, num_semesters NUMBER, num_enrolled NUMBER, has_discussion VARCHAR2, has_lab VARCHAR2, has_projects VARCHAR2, has_exams VARCHAR2, num_reviews NUMBER, clarity_score NUMBER, easiness_score NUMBER, helpfulness_score NUMBER)
CREATE TABLE course_offering (offering_id NUMBER, course_id NUMBER, semester NUMBER, section_number NUMBER, start_time TIME, end_time TIME, monday VARCHAR2, tuesday VARCHAR2, wednesday VARCHAR2, thursday VARCHAR2, friday VARCHAR2, saturday VARCHAR2, sunday VARCHAR2, has_final_project VARCHAR2, has_final_exam VARCHAR2, textbook VARCHAR2, class_address VARCHAR2, allow_audit VARCHAR2)
CREATE TABLE jobs (job_id NUMBER, job_title VARCHAR2, description VARCHAR2, requirement VARCHAR2, city VARCHAR2, state VARCHAR2, country VARCHAR2, zip NUMBER)
CREATE TABLE requirement (requirement_id NUMBER, requirement VARCHAR2, college VARCHAR2)
|
Required courses for BE 619 are ?
|
SELECT DISTINCT COURSE_1.department, COURSE_1.name, COURSE_1.number FROM course AS COURSE_0 INNER JOIN course_prerequisite ON COURSE_0.course_id = course_prerequisite.course_id INNER JOIN course AS COURSE_1 ON COURSE_1.course_id = course_prerequisite.pre_course_id WHERE COURSE_0.department = 'BE' AND COURSE_0.number = 619
|
SELECT DISTINCT "COURSE_1"."department", "COURSE_1"."name", "COURSE_1"."number" FROM "course" "COURSE_0" JOIN "course_prerequisite" ON "COURSE_0"."course_id" = "course_prerequisite"."course_id" JOIN "course" "COURSE_1" ON "COURSE_1"."course_id" = "course_prerequisite"."pre_course_id" WHERE "COURSE_0"."department" = 'BE' AND "COURSE_0"."number" = 619
| 0.342773 |
CREATE TABLE table_26009 ("Pos" FLOAT, "Constructor" CLOB, "Chassis" CLOB, "Starts" FLOAT, "Finishes" FLOAT, "Wins" FLOAT, "Podiums" FLOAT, "Stage wins" FLOAT, "Power stage wins" FLOAT, "Points" FLOAT)
|
If finishes is 10, what is the POS minimum?
|
SELECT MIN("Pos") FROM table_26009 WHERE "Finishes" = '10'
|
SELECT MIN("Pos") FROM "table_26009" WHERE "Finishes" = '10'
| 0.058594 |
CREATE TABLE table_69726 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Attendance" FLOAT, "Record" CLOB)
|
Name the score when the record was 18-25
|
SELECT "Score" FROM table_69726 WHERE "Record" = '18-25'
|
SELECT "Score" FROM "table_69726" WHERE "Record" = '18-25'
| 0.056641 |
CREATE TABLE table_name_99 (score VARCHAR2, loss VARCHAR2)
|
What was the score of the game that had a loss of Drese (2-2)?
|
SELECT score FROM table_name_99 WHERE loss = "drese (2-2)"
|
SELECT "score" FROM "table_name_99" WHERE "drese (2-2)" = "loss"
| 0.0625 |
CREATE TABLE table_name_26 (final_score VARCHAR2, stadium VARCHAR2)
|
What was the final score in Robert F. Kennedy Memorial Stadium?
|
SELECT final_score FROM table_name_26 WHERE stadium = "robert f. kennedy memorial stadium"
|
SELECT "final_score" FROM "table_name_26" WHERE "robert f. kennedy memorial stadium" = "stadium"
| 0.09375 |
CREATE TABLE Lives_in (stuid NUMBER, dormid NUMBER, room_number NUMBER)
CREATE TABLE Student (StuID NUMBER, LName VARCHAR2, Fname VARCHAR2, Age NUMBER, Sex VARCHAR2, Major NUMBER, Advisor NUMBER, city_code VARCHAR2)
CREATE TABLE Has_amenity (dormid NUMBER, amenid NUMBER)
CREATE TABLE Dorm_amenity (amenid NUMBER, amenity_name VARCHAR2)
CREATE TABLE Dorm (dormid NUMBER, dorm_name VARCHAR2, student_capacity NUMBER, gender VARCHAR2)
|
Find the number of students whose age is younger than the average age and group by students' last name in a bar chart, and sort by the Y-axis in descending.
|
SELECT LName, COUNT(LName) FROM Student WHERE Age < (SELECT AVG(Age) FROM Student) GROUP BY LName ORDER BY COUNT(LName) DESC
|
SELECT "LName", COUNT("LName") FROM "Student" WHERE "Age" < (SELECT AVG("Age") FROM "Student") GROUP BY "LName" ORDER BY COUNT("LName") DESC
| 0.136719 |
CREATE TABLE table_39505 ("Game" FLOAT, "February" FLOAT, "Opponent" CLOB, "Score" CLOB, "Record" CLOB, "Points" FLOAT)
|
Which Game is the average one that has a February larger than 20, and a Record of 41 17 4, and Points smaller than 86?
|
SELECT AVG("Game") FROM table_39505 WHERE "February" > '20' AND "Record" = '41–17–4' AND "Points" < '86'
|
SELECT AVG("Game") FROM "table_39505" WHERE "February" > '20' AND "Points" < '86' AND "Record" = '41–17–4'
| 0.103516 |
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
|
what were the first outputs of patient 12885 on 06/28/last year?
|
SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT outputevents.itemid FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 12885)) AND DATETIME(outputevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m-%d', outputevents.charttime) = '06-28' ORDER BY outputevents.charttime LIMIT 1)
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 12885 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "outputevents"."itemid" FROM "outputevents" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "outputevents"."icustay_id" WHERE DATETIME("outputevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL AND STRFTIME('%m-%d', "outputevents"."charttime") = '06-28' GROUP BY "itemid" ORDER BY "outputevents"."charttime" FETCH FIRST 1 ROWS ONLY) SELECT "d_items"."label" FROM "d_items" LEFT JOIN "_u_2" "_u_2" ON "_u_2"."" = "d_items"."itemid" WHERE NOT "_u_2"."" IS NULL
| 0.80957 |
CREATE TABLE jobs (JOB_ID VARCHAR2, JOB_TITLE VARCHAR2, MIN_SALARY NUMBER, MAX_SALARY NUMBER)
CREATE TABLE employees (EMPLOYEE_ID NUMBER, FIRST_NAME VARCHAR2, LAST_NAME VARCHAR2, EMAIL VARCHAR2, PHONE_NUMBER VARCHAR2, HIRE_DATE DATE, JOB_ID VARCHAR2, SALARY NUMBER, COMMISSION_PCT NUMBER, MANAGER_ID NUMBER, DEPARTMENT_ID NUMBER)
CREATE TABLE departments (DEPARTMENT_ID NUMBER, DEPARTMENT_NAME VARCHAR2, MANAGER_ID NUMBER, LOCATION_ID NUMBER)
CREATE TABLE countries (COUNTRY_ID VARCHAR2, COUNTRY_NAME VARCHAR2, REGION_ID NUMBER)
CREATE TABLE locations (LOCATION_ID NUMBER, STREET_ADDRESS VARCHAR2, POSTAL_CODE VARCHAR2, CITY VARCHAR2, STATE_PROVINCE VARCHAR2, COUNTRY_ID VARCHAR2)
CREATE TABLE job_history (EMPLOYEE_ID NUMBER, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR2, DEPARTMENT_ID NUMBER)
CREATE TABLE regions (REGION_ID NUMBER, REGION_NAME VARCHAR2)
|
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, give me the comparison about the sum of employee_id over the job_id , and group by attribute job_id, could you display y axis from low to high order?
|
SELECT JOB_ID, SUM(EMPLOYEE_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID ORDER BY SUM(EMPLOYEE_ID)
|
SELECT "JOB_ID", SUM("EMPLOYEE_ID") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000) GROUP BY "JOB_ID" ORDER BY SUM("EMPLOYEE_ID")
| 0.249023 |
CREATE TABLE Rooms (roomName VARCHAR2, basePrice VARCHAR2)
|
Which room has cheapest base price? List the room's name and the base price.
|
SELECT roomName, basePrice FROM Rooms ORDER BY basePrice LIMIT 1
|
SELECT "roomName", "basePrice" FROM "Rooms" ORDER BY "basePrice" FETCH FIRST 1 ROWS ONLY
| 0.085938 |
CREATE TABLE table_12106 ("Name" CLOB, "Circuit" CLOB, "Date" CLOB, "Winning driver" CLOB, "Winning constructor" CLOB, "Report" CLOB)
|
What date was the Madonie Circuit?
|
SELECT "Date" FROM table_12106 WHERE "Circuit" = 'madonie'
|
SELECT "Date" FROM "table_12106" WHERE "Circuit" = 'madonie'
| 0.058594 |
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
|
how many patients born before the year 2104 were given the drug vancomycin?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2104" AND prescriptions.drug = "Vancomycin"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Vancomycin" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "2104" > "demographic"."dob_year"
| 0.220703 |
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
|
what is the unabbreviated version of the tachypnea?
|
SELECT d_icd_diagnoses.long_title FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'tachypnea' UNION SELECT d_icd_procedures.long_title FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'tachypnea'
|
SELECT "d_icd_diagnoses"."long_title" FROM "d_icd_diagnoses" WHERE "d_icd_diagnoses"."short_title" = 'tachypnea' UNION SELECT "d_icd_procedures"."long_title" FROM "d_icd_procedures" WHERE "d_icd_procedures"."short_title" = 'tachypnea'
| 0.228516 |
CREATE TABLE Apartment_Buildings (building_id NUMBER, building_short_name CHAR, building_full_name VARCHAR2, building_description VARCHAR2, building_address VARCHAR2, building_manager VARCHAR2, building_phone VARCHAR2)
CREATE TABLE Apartment_Facilities (apt_id NUMBER, facility_code CHAR)
CREATE TABLE Apartments (apt_id NUMBER, building_id NUMBER, apt_type_code CHAR, apt_number CHAR, bathroom_count NUMBER, bedroom_count NUMBER, room_count CHAR)
CREATE TABLE View_Unit_Status (apt_id NUMBER, apt_booking_id NUMBER, status_date DATETIME, available_yn BIT)
CREATE TABLE Guests (guest_id NUMBER, gender_code CHAR, guest_first_name VARCHAR2, guest_last_name VARCHAR2, date_of_birth DATETIME)
CREATE TABLE Apartment_Bookings (apt_booking_id NUMBER, apt_id NUMBER, guest_id NUMBER, booking_status_code CHAR, booking_start_date DATETIME, booking_end_date DATETIME)
|
What is the booking end dates of the apartments with type code 'Duplex'? Bin the year into weekday interval with a bar chart.
|
SELECT booking_end_date, COUNT(booking_end_date) FROM Apartment_Bookings AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.apt_type_code = "Duplex"
|
SELECT "booking_end_date", COUNT("booking_end_date") FROM "Apartment_Bookings" "T1" JOIN "Apartments" "T2" ON "Duplex" = "T2"."apt_type_code" AND "T1"."apt_id" = "T2"."apt_id"
| 0.170898 |
CREATE TABLE trip (id NUMBER, duration NUMBER, start_date CLOB, start_station_name CLOB, start_station_id NUMBER, end_date CLOB, end_station_name CLOB, end_station_id NUMBER, bike_id NUMBER, subscription_type CLOB, zip_code NUMBER)
CREATE TABLE station (id NUMBER, name CLOB, lat NUMBER, long NUMBER, dock_count NUMBER, city CLOB, installation_date CLOB)
CREATE TABLE status (station_id NUMBER, bikes_available NUMBER, docks_available NUMBER, time CLOB)
CREATE TABLE weather (date CLOB, max_temperature_f NUMBER, mean_temperature_f NUMBER, min_temperature_f NUMBER, max_dew_point_f NUMBER, mean_dew_point_f NUMBER, min_dew_point_f NUMBER, max_humidity NUMBER, mean_humidity NUMBER, min_humidity NUMBER, max_sea_level_pressure_inches NUMBER, mean_sea_level_pressure_inches NUMBER, min_sea_level_pressure_inches NUMBER, max_visibility_miles NUMBER, mean_visibility_miles NUMBER, min_visibility_miles NUMBER, max_wind_Speed_mph NUMBER, mean_wind_speed_mph NUMBER, max_gust_speed_mph NUMBER, precipitation_inches NUMBER, cloud_cover NUMBER, events CLOB, wind_dir_degrees NUMBER, zip_code NUMBER)
|
What are the number of the dates that have an average sea level pressure between 303 and 31?, could you sort in desc by the y axis?
|
SELECT date, COUNT(date) FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31 ORDER BY COUNT(date) DESC
|
SELECT "date", COUNT("date") FROM "weather" WHERE "mean_sea_level_pressure_inches" <= 31 AND "mean_sea_level_pressure_inches" >= 30.3 ORDER BY COUNT("date") DESC
| 0.157227 |
CREATE TABLE table_name_2 (date VARCHAR2, home_team VARCHAR2)
|
When did Reading play at home?
|
SELECT date FROM table_name_2 WHERE home_team = "reading"
|
SELECT "date" FROM "table_name_2" WHERE "home_team" = "reading"
| 0.061523 |
CREATE TABLE table_name_57 (rank NUMBER, country VARCHAR2)
|
What is the lowest ranking team in Australia?
|
SELECT MIN(rank) FROM table_name_57 WHERE country = "australia"
|
SELECT MIN("rank") FROM "table_name_57" WHERE "australia" = "country"
| 0.067383 |
CREATE TABLE table_25046766_1 (episode_no VARCHAR2, written_by VARCHAR2)
|
When don inglis and ralph smart are the writers how many episode numbers are there?
|
SELECT COUNT(episode_no) FROM table_25046766_1 WHERE written_by = "Don Inglis and Ralph Smart"
|
SELECT COUNT("episode_no") FROM "table_25046766_1" WHERE "Don Inglis and Ralph Smart" = "written_by"
| 0.097656 |
CREATE TABLE table_50199 ("Game" FLOAT, "Date" CLOB, "Team" CLOB, "Score" CLOB, "High points" CLOB, "High rebounds" CLOB, "High assists" CLOB, "Location Attendance" CLOB, "Record" CLOB)
|
What was the high assist when the high point was Eric Gordon (21)?
|
SELECT "High assists" FROM table_50199 WHERE "High points" = 'eric gordon (21)'
|
SELECT "High assists" FROM "table_50199" WHERE "High points" = 'eric gordon (21)'
| 0.079102 |
CREATE TABLE medicine (id NUMBER, name CLOB, trade_name CLOB, fda_approved CLOB)
CREATE TABLE medicine_enzyme_interaction (enzyme_id NUMBER, medicine_id NUMBER, interaction_type CLOB)
CREATE TABLE enzyme (id NUMBER, name CLOB, location CLOB, product CLOB, chromosome CLOB, omim NUMBER, porphyria CLOB)
|
What is the type of interaction for the enzyme named 'ALA synthase' and the medicine named 'Aripiprazole'?
|
SELECT T1.interaction_type FROM medicine_enzyme_interaction AS T1 JOIN medicine AS T2 ON T1.medicine_id = T2.id JOIN enzyme AS T3 ON T1.enzyme_id = T3.id WHERE T3.name = 'ALA synthase' AND T2.name = 'Aripiprazole'
|
SELECT "T1"."interaction_type" FROM "medicine_enzyme_interaction" "T1" JOIN "medicine" "T2" ON "T1"."medicine_id" = "T2"."id" AND "T2"."name" = 'Aripiprazole' JOIN "enzyme" "T3" ON "T1"."enzyme_id" = "T3"."id" AND "T3"."name" = 'ALA synthase'
| 0.236328 |
CREATE TABLE table_name_89 (Id VARCHAR2)
|
Name the 2012 for 2009 of a and 2010 of a and 2011 of a
|
SELECT 2012 FROM table_name_89 WHERE 2009 = "a" AND 2010 = "a" AND 2011 = "a"
|
SELECT 2012 FROM "table_name_89" WHERE "a" = 2009 AND "a" = 2010 AND "a" = 2011
| 0.077148 |
CREATE TABLE table_204_423 (id NUMBER, "name" CLOB, "location" CLOB, "city" CLOB, "listing date" CLOB)
|
which site was listed earlier , the state public school or the edwin r. clarke library ?
|
SELECT "name" FROM table_204_423 WHERE "name" IN ('state public school at coldwater', 'edwin r. clarke library (michigan library association)') ORDER BY "listing date" LIMIT 1
|
SELECT "name" FROM "table_204_423" WHERE "name" IN ('state public school at coldwater', 'edwin r. clarke library (michigan library association)') ORDER BY "listing date" FETCH FIRST 1 ROWS ONLY
| 0.188477 |
CREATE TABLE table_56093 ("City" CLOB, "Country" CLOB, "IATA" CLOB, "ICAO" CLOB, "Airport" CLOB)
|
What city is Jaffna Airport in?
|
SELECT "City" FROM table_56093 WHERE "Airport" = 'jaffna airport'
|
SELECT "City" FROM "table_56093" WHERE "Airport" = 'jaffna airport'
| 0.06543 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
|
give the number of patients whose insurance is government and lab test name is hematocrit, other fluid.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.insurance = "Government" AND lab.label = "Hematocrit, Other Fluid"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Hematocrit, Other Fluid" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "Government" = "demographic"."insurance"
| 0.211914 |
CREATE TABLE table_23508196_5 (type_of_aircraft VARCHAR2, number_of_crews VARCHAR2)
|
What is the aircraft for 21 crews?
|
SELECT type_of_aircraft FROM table_23508196_5 WHERE number_of_crews = "21"
|
SELECT "type_of_aircraft" FROM "table_23508196_5" WHERE "21" = "number_of_crews"
| 0.078125 |
CREATE TABLE table_test_2 ("id" NUMBER, "loss_of_consciousness" BOOLEAN, "gender" CLOB, "bleeding" NUMBER, "systolic_blood_pressure_sbp" NUMBER, "stroke" BOOLEAN, "renal_disease" BOOLEAN, "hemorrhagic_diathesis" BOOLEAN, "transient_ischemic_attack" BOOLEAN, "creatinine_clearance_cl" FLOAT, "dementia" BOOLEAN, "glasgow_come_score_gcs" NUMBER, "prior_creatinine" FLOAT, "immunological_dysfunction" BOOLEAN, "diastolic_blood_pressure_dbp" NUMBER, "health_coverage" BOOLEAN, "structural_cns_damage" BOOLEAN, "neoplasm" BOOLEAN, "av_malformation" BOOLEAN, "disorder" BOOLEAN, "aneurysm" BOOLEAN, "final_timi" NUMBER, "hypertension" BOOLEAN, "NOUSE" FLOAT)
|
known renal insufficiency ( either known creatinin clearance < 30 ml / min / 1.73 m2 or current medical care for severe renal insufficiency )
|
SELECT * FROM table_test_2 WHERE renal_disease = 1 OR (creatinine_clearance_cl < 30 OR renal_disease = 1)
|
SELECT * FROM "table_test_2" WHERE "creatinine_clearance_cl" < 30 OR "renal_disease" = 1
| 0.085938 |
CREATE TABLE table_name_29 (round NUMBER, name VARCHAR2, pick VARCHAR2)
|
What's the average round Red Bryant was drafted with a pick larger than 121?
|
SELECT AVG(round) FROM table_name_29 WHERE name = "red bryant" AND pick > 121
|
SELECT AVG("round") FROM "table_name_29" WHERE "name" = "red bryant" AND "pick" > 121
| 0.083008 |
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
|
how many patients whose year of death is less than or equal to 2154 and diagnoses icd9 code is 70715?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.dod_year <= "2154.0" AND diagnoses.icd9_code = "70715"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "70715" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2154.0" >= "demographic"."dod_year"
| 0.211914 |
CREATE TABLE table_34112 ("Rank" FLOAT, "Nation" CLOB, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
|
What is the lowest number of silver medals for a nation with fewer than 1 total medals?
|
SELECT MIN("Silver") FROM table_34112 WHERE "Total" < '1'
|
SELECT MIN("Silver") FROM "table_34112" WHERE "Total" < '1'
| 0.057617 |
CREATE TABLE table_47234 ("Round" FLOAT, "Pick" FLOAT, "Player" CLOB, "Position" CLOB, "School" CLOB)
|
In what Round does Duke have a Pick larger than 9?
|
SELECT COUNT("Round") FROM table_47234 WHERE "Pick" > '9' AND "School" = 'duke'
|
SELECT COUNT("Round") FROM "table_47234" WHERE "Pick" > '9' AND "School" = 'duke'
| 0.079102 |
CREATE TABLE table_name_9 (date VARCHAR2, tournament VARCHAR2)
|
When was the Masters Tournament?
|
SELECT date FROM table_name_9 WHERE tournament = "masters tournament"
|
SELECT "date" FROM "table_name_9" WHERE "masters tournament" = "tournament"
| 0.073242 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
|
how many patients whose diagnoses short title is bph w/o urinary obs/luts and lab test category is hematology?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "BPH w/o urinary obs/LUTS" AND lab."CATEGORY" = "Hematology"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "BPH w/o urinary obs/LUTS" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Hematology" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id"
| 0.280273 |
CREATE TABLE table_name_69 (year__ceremony_ VARCHAR2, original_title VARCHAR2)
|
What year was Zona Sur nominated?
|
SELECT year__ceremony_ FROM table_name_69 WHERE original_title = "zona sur"
|
SELECT "year__ceremony_" FROM "table_name_69" WHERE "original_title" = "zona sur"
| 0.079102 |
CREATE TABLE table_74576 ("Home team" CLOB, "Home team score" CLOB, "Away team" CLOB, "Away team score" CLOB, "Venue" CLOB, "Crowd" FLOAT, "Date" CLOB)
|
What was the crowd when the VFL played MCG?
|
SELECT MIN("Crowd") FROM table_74576 WHERE "Venue" = 'mcg'
|
SELECT MIN("Crowd") FROM "table_74576" WHERE "Venue" = 'mcg'
| 0.058594 |
CREATE TABLE table_30358 ("Year" FLOAT, "Date" CLOB, "Driver" CLOB, "Team" CLOB, "Manufacturer" CLOB, "Laps" CLOB, "Miles ( km ) " CLOB, "Race Time" CLOB, "Average Speed ( mph ) " CLOB)
|
On what day did tommy ellis drive?
|
SELECT "Date" FROM table_30358 WHERE "Driver" = 'Tommy Ellis'
|
SELECT "Date" FROM "table_30358" WHERE "Driver" = 'Tommy Ellis'
| 0.061523 |
CREATE TABLE table_204_775 (id NUMBER, "rank" NUMBER, "nation" CLOB, "gold" NUMBER, "silver" NUMBER, "bronze" NUMBER, "total" NUMBER)
|
which country has the largest amount of total medals ?
|
SELECT "nation" FROM table_204_775 ORDER BY "total" DESC LIMIT 1
|
SELECT "nation" FROM "table_204_775" ORDER BY "total" DESC FETCH FIRST 1 ROWS ONLY
| 0.080078 |
CREATE TABLE table_49995 ("Tournament" CLOB, "1980" CLOB, "1981" CLOB, "1982" CLOB, "1983" CLOB, "1984" CLOB, "1985" CLOB, "1986" CLOB, "1987" CLOB, "Career SR" CLOB)
|
What is the 1980 value with a 1r in 1984 and a 1r in 1981?
|
SELECT "1980" FROM table_49995 WHERE "1984" = '1r' AND "1981" = '1r'
|
SELECT "1980" FROM "table_49995" WHERE "1981" = '1r' AND "1984" = '1r'
| 0.068359 |
CREATE TABLE table_49854 ("Date" CLOB, "H/A/N" CLOB, "Opponent" CLOB, "Score" CLOB, "Record" CLOB)
|
When they were 2-32 what did they score?
|
SELECT "Score" FROM table_49854 WHERE "Record" = '2-32'
|
SELECT "Score" FROM "table_49854" WHERE "Record" = '2-32'
| 0.055664 |
CREATE TABLE table_7849 ("Date" CLOB, "Tournament" CLOB, "Winning score" CLOB, "Margin of victory" CLOB, "Runner ( s ) -up" CLOB)
|
What day was the winning score 16 (67-70-69-66=272)?
|
SELECT "Date" FROM table_7849 WHERE "Winning score" = '–16 (67-70-69-66=272)'
|
SELECT "Date" FROM "table_7849" WHERE "Winning score" = '–16 (67-70-69-66=272)'
| 0.077148 |
CREATE TABLE table_34817 ("Date" CLOB, "Opponent" CLOB, "Score" CLOB, "Loss" CLOB, "Time" CLOB, "Att." CLOB, "Record" CLOB)
|
when is Record of 66-95?
|
SELECT "Time" FROM table_34817 WHERE "Record" = '66-95'
|
SELECT "Time" FROM "table_34817" WHERE "Record" = '66-95'
| 0.055664 |
CREATE TABLE event (ID NUMBER, Name CLOB, Stadium_ID NUMBER, Year CLOB)
CREATE TABLE stadium (ID NUMBER, name CLOB, Capacity NUMBER, City CLOB, Country CLOB, Opening_year NUMBER)
CREATE TABLE record (ID NUMBER, Result CLOB, Swimmer_ID NUMBER, Event_ID NUMBER)
CREATE TABLE swimmer (ID NUMBER, name CLOB, Nationality CLOB, meter_100 FLOAT, meter_200 CLOB, meter_300 CLOB, meter_400 CLOB, meter_500 CLOB, meter_600 CLOB, meter_700 CLOB, Time CLOB)
|
Find Nationality and the sum of meter_100 , and group by attribute Nationality, and visualize them by a bar chart, and order by the x-axis in asc.
|
SELECT Nationality, SUM(meter_100) FROM swimmer GROUP BY Nationality ORDER BY Nationality
|
SELECT "Nationality", SUM("meter_100") FROM "swimmer" GROUP BY "Nationality" ORDER BY "Nationality"
| 0.09668 |
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
|
Show sum team id from each all home, and could you show by the total number in desc?
|
SELECT All_Home, SUM(Team_ID) FROM basketball_match GROUP BY All_Home ORDER BY SUM(Team_ID) DESC
|
SELECT "All_Home", SUM("Team_ID") FROM "basketball_match" GROUP BY "All_Home" ORDER BY SUM("Team_ID") DESC
| 0.103516 |
CREATE TABLE table_11206916_1 (highest VARCHAR2, team VARCHAR2)
|
The stenhousemuir team had how many highest attendances?
|
SELECT COUNT(highest) FROM table_11206916_1 WHERE team = "Stenhousemuir"
|
SELECT COUNT("highest") FROM "table_11206916_1" WHERE "Stenhousemuir" = "team"
| 0.076172 |
CREATE TABLE Customers (customer_id NUMBER, payment_method VARCHAR2, customer_name VARCHAR2, date_became_customer DATETIME, other_customer_details VARCHAR2)
CREATE TABLE Customer_Orders (order_id NUMBER, customer_id NUMBER, order_status VARCHAR2, order_date DATETIME, order_details VARCHAR2)
CREATE TABLE Products (product_id NUMBER, product_details VARCHAR2)
CREATE TABLE Addresses (address_id NUMBER, address_content VARCHAR2, city VARCHAR2, zip_postcode VARCHAR2, state_province_county VARCHAR2, country VARCHAR2, other_address_details VARCHAR2)
CREATE TABLE Customer_Contact_Channels (customer_id NUMBER, channel_code VARCHAR2, active_from_date DATETIME, active_to_date DATETIME, contact_number VARCHAR2)
CREATE TABLE Order_Items (order_id NUMBER, product_id NUMBER, order_quantity VARCHAR2)
CREATE TABLE Customer_Addresses (customer_id NUMBER, address_id NUMBER, date_address_from DATETIME, address_type VARCHAR2, date_address_to DATETIME)
|
Find the number of customers that use email as the contact channel and group by customer name and bin active date by weekday in a stacked bar chart, could you display by the y-axis in ascending?
|
SELECT active_from_date, COUNT(active_from_date) FROM Customers AS t1 JOIN Customer_Contact_Channels AS t2 ON t1.customer_id = t2.customer_id WHERE t2.channel_code = 'Email' GROUP BY customer_name ORDER BY COUNT(active_from_date)
|
SELECT "active_from_date", COUNT("active_from_date") FROM "Customers" "t1" JOIN "Customer_Contact_Channels" "t2" ON "t1"."customer_id" = "t2"."customer_id" AND "t2"."channel_code" = 'Email' GROUP BY "customer_name" ORDER BY COUNT("active_from_date")
| 0.243164 |
CREATE TABLE airline (airline_code VARCHAR2, airline_name CLOB, note CLOB)
CREATE TABLE fare_basis (fare_basis_code CLOB, booking_class CLOB, class_type CLOB, premium CLOB, economy CLOB, discounted CLOB, night CLOB, season CLOB, basis_days CLOB)
CREATE TABLE month (month_number NUMBER, month_name CLOB)
CREATE TABLE food_service (meal_code CLOB, meal_number NUMBER, compartment CLOB, meal_description VARCHAR2)
CREATE TABLE airport_service (city_code VARCHAR2, airport_code VARCHAR2, miles_distant NUMBER, direction VARCHAR2, minutes_distant NUMBER)
CREATE TABLE time_interval (period CLOB, begin_time NUMBER, end_time NUMBER)
CREATE TABLE city (city_code VARCHAR2, city_name VARCHAR2, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR2, aircraft_code VARCHAR2)
CREATE TABLE time_zone (time_zone_code CLOB, time_zone_name CLOB, hours_from_gmt NUMBER)
CREATE TABLE date_day (month_number NUMBER, day_number NUMBER, year NUMBER, day_name VARCHAR2)
CREATE TABLE flight_fare (flight_id NUMBER, fare_id NUMBER)
CREATE TABLE flight_stop (flight_id NUMBER, stop_number NUMBER, stop_days CLOB, stop_airport CLOB, arrival_time NUMBER, arrival_airline CLOB, arrival_flight_number NUMBER, departure_time NUMBER, departure_airline CLOB, departure_flight_number NUMBER, stop_time NUMBER)
CREATE TABLE flight_leg (flight_id NUMBER, leg_number NUMBER, leg_flight NUMBER)
CREATE TABLE code_description (code VARCHAR2, description CLOB)
CREATE TABLE compartment_class (compartment VARCHAR2, class_type VARCHAR2)
CREATE TABLE dual_carrier (main_airline VARCHAR2, low_flight_number NUMBER, high_flight_number NUMBER, dual_airline VARCHAR2, service_name CLOB)
CREATE TABLE class_of_service (booking_class VARCHAR2, rank NUMBER, class_description CLOB)
CREATE TABLE days (days_code VARCHAR2, day_name VARCHAR2)
CREATE TABLE restriction (restriction_code CLOB, advance_purchase NUMBER, stopovers CLOB, saturday_stay_required CLOB, minimum_stay NUMBER, maximum_stay NUMBER, application CLOB, no_discounts CLOB)
CREATE TABLE fare (fare_id NUMBER, from_airport VARCHAR2, to_airport VARCHAR2, fare_basis_code CLOB, fare_airline CLOB, restriction_code CLOB, one_direction_cost NUMBER, round_trip_cost NUMBER, round_trip_required VARCHAR2)
CREATE TABLE ground_service (city_code CLOB, airport_code CLOB, transport_type CLOB, ground_fare NUMBER)
CREATE TABLE flight (aircraft_code_sequence CLOB, airline_code VARCHAR2, airline_flight CLOB, arrival_time NUMBER, connections NUMBER, departure_time NUMBER, dual_carrier CLOB, flight_days CLOB, flight_id NUMBER, flight_number NUMBER, from_airport VARCHAR2, meal_code CLOB, stops NUMBER, time_elapsed NUMBER, to_airport VARCHAR2)
CREATE TABLE airport (airport_code VARCHAR2, airport_name CLOB, airport_location CLOB, state_code VARCHAR2, country_name VARCHAR2, time_zone_code VARCHAR2, minimum_connect_time NUMBER)
CREATE TABLE aircraft (aircraft_code VARCHAR2, aircraft_description VARCHAR2, manufacturer VARCHAR2, basic_type VARCHAR2, engines NUMBER, propulsion VARCHAR2, wide_body VARCHAR2, wing_span NUMBER, length NUMBER, weight NUMBER, capacity NUMBER, pay_load NUMBER, cruising_speed NUMBER, range_miles NUMBER, pressurized VARCHAR2)
CREATE TABLE state (state_code CLOB, state_name CLOB, country_name CLOB)
|
is there LIMOUSINE service available at BALTIMORE airport
|
SELECT DISTINCT ground_service.transport_type FROM airport, airport_service, city, ground_service WHERE airport.airport_code = airport_service.airport_code AND city.city_code = airport_service.city_code AND city.city_name = 'BALTIMORE' AND ground_service.airport_code = airport.airport_code AND ground_service.transport_type = 'LIMOUSINE'
|
SELECT DISTINCT "ground_service"."transport_type" FROM "airport" JOIN "airport_service" ON "airport"."airport_code" = "airport_service"."airport_code" JOIN "ground_service" ON "airport"."airport_code" = "ground_service"."airport_code" AND "ground_service"."transport_type" = 'LIMOUSINE' JOIN "city" ON "airport_service"."city_code" = "city"."city_code" AND "city"."city_name" = 'BALTIMORE'
| 0.379883 |
CREATE TABLE chartevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE inputevents_cv (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, amount NUMBER)
CREATE TABLE d_labitems (row_id NUMBER, itemid NUMBER, label CLOB)
CREATE TABLE transfers (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, eventtype CLOB, careunit CLOB, wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE patients (row_id NUMBER, subject_id NUMBER, gender CLOB, dob TIME, dod TIME)
CREATE TABLE d_items (row_id NUMBER, itemid NUMBER, label CLOB, linksto CLOB)
CREATE TABLE cost (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, event_type CLOB, event_id NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE labevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, itemid NUMBER, charttime TIME, valuenum NUMBER, valueuom CLOB)
CREATE TABLE procedures_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE admissions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, admittime TIME, dischtime TIME, admission_type CLOB, admission_location CLOB, discharge_location CLOB, insurance CLOB, language CLOB, marital_status CLOB, ethnicity CLOB, age NUMBER)
CREATE TABLE prescriptions (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, startdate TIME, enddate TIME, drug CLOB, dose_val_rx CLOB, dose_unit_rx CLOB, route CLOB)
CREATE TABLE diagnoses_icd (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icd9_code CLOB, charttime TIME)
CREATE TABLE icustays (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, first_careunit CLOB, last_careunit CLOB, first_wardid NUMBER, last_wardid NUMBER, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE outputevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, icustay_id NUMBER, charttime TIME, itemid NUMBER, value NUMBER)
CREATE TABLE d_icd_procedures (row_id NUMBER, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE microbiologyevents (row_id NUMBER, subject_id NUMBER, hadm_id NUMBER, charttime TIME, spec_type_desc CLOB, org_name CLOB)
|
what are the top three frequently prescribed drugs that patients have been prescribed in the same month after having been diagnosed with 33-34 comp wks gestation since 2103?
|
SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = '33-34 comp wks gestation') AND STRFTIME('%y', diagnoses_icd.charttime) >= '2103') AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE STRFTIME('%y', prescriptions.startdate) >= '2103') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND DATETIME(t1.charttime, 'start of month') = DATETIME(t2.startdate, 'start of month') GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 3
|
WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE STRFTIME('%y', "prescriptions"."startdate") >= '2103'), "t3" AS (SELECT "t2"."drug", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS "c1" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = '33-34 comp wks gestation' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."startdate" AND DATETIME("diagnoses_icd"."charttime", 'start of month') = DATETIME("t2"."startdate", 'start of month') WHERE STRFTIME('%y', "diagnoses_icd"."charttime") >= '2103' GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" "t3" WHERE "t3"."c1" <= 3
| 0.915039 |
CREATE TABLE table_31497 ("Townland" CLOB, "Area ( acres ) " FLOAT, "Barony" CLOB, "Civil parish" CLOB, "Poor law union" CLOB)
|
In what barony are both the townland Dawstown and the civil parish Matehy located?
|
SELECT "Barony" FROM table_31497 WHERE "Townland" = 'Dawstown' AND "Civil parish" = 'Matehy'
|
SELECT "Barony" FROM "table_31497" WHERE "Civil parish" = 'Matehy' AND "Townland" = 'Dawstown'
| 0.091797 |
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
|
how many patients whose diagnoses long title is unspecified disorder of kidney and ureter and lab test abnormal status is abnormal?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Unspecified disorder of kidney and ureter" AND lab.flag = "abnormal"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Unspecified disorder of kidney and ureter" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "abnormal" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id"
| 0.290039 |
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
|
A scatter chart shows the correlation between ACC_Percent and All_Games_Percent , and group by attribute All_Neutral.
|
SELECT ACC_Percent, All_Games_Percent FROM basketball_match GROUP BY All_Neutral
|
SELECT "ACC_Percent", "All_Games_Percent" FROM "basketball_match" GROUP BY "All_Neutral"
| 0.085938 |
CREATE TABLE table_72550 ("PowerShell ( Cmdlet ) " CLOB, "PowerShell ( Alias ) " CLOB, "CMD.EXE / COMMAND.COM" CLOB, "Unix shell" CLOB, "Description" CLOB)
|
How many values of powershell (cmdlet) are valid when unix shell is env, export, set, setenv?
|
SELECT COUNT("PowerShell (Cmdlet)") FROM table_72550 WHERE "Unix shell" = 'env, export, set, setenv'
|
SELECT COUNT("PowerShell (Cmdlet)") FROM "table_72550" WHERE "Unix shell" = 'env, export, set, setenv'
| 0.099609 |
CREATE TABLE table_name_99 (team_1 VARCHAR2, team_2 VARCHAR2)
|
What team 1 has sloga jugomagnat as team 2?
|
SELECT team_1 FROM table_name_99 WHERE team_2 = "sloga jugomagnat"
|
SELECT "team_1" FROM "table_name_99" WHERE "sloga jugomagnat" = "team_2"
| 0.070313 |
CREATE TABLE table_name_69 (record VARCHAR2, visitor VARCHAR2)
|
What is the record when the visitor is Buffalo?
|
SELECT record FROM table_name_69 WHERE visitor = "buffalo"
|
SELECT "record" FROM "table_name_69" WHERE "buffalo" = "visitor"
| 0.0625 |
CREATE TABLE basketball_match (Team_ID NUMBER, School_ID NUMBER, Team_Name CLOB, ACC_Regular_Season CLOB, ACC_Percent CLOB, ACC_Home CLOB, ACC_Road CLOB, All_Games CLOB, All_Games_Percent NUMBER, All_Home CLOB, All_Road CLOB, All_Neutral CLOB)
CREATE TABLE university (School_ID NUMBER, School CLOB, Location CLOB, Founded FLOAT, Affiliation CLOB, Enrollment FLOAT, Nickname CLOB, Primary_conference CLOB)
|
Give me a pie chart to reflect the proportion of All_Home and the sum of Team_ID.
|
SELECT All_Home, SUM(Team_ID) FROM basketball_match GROUP BY All_Home
|
SELECT "All_Home", SUM("Team_ID") FROM "basketball_match" GROUP BY "All_Home"
| 0.075195 |
CREATE TABLE table_32793 ("Player" CLOB, "Tries" CLOB, "Conv" CLOB, "Pens" CLOB, "Drop" CLOB, "Venue" CLOB, "Date" CLOB)
|
What is the drop number on 08/06/2011?
|
SELECT "Drop" FROM table_32793 WHERE "Date" = '08/06/2011'
|
SELECT "Drop" FROM "table_32793" WHERE "Date" = '08/06/2011'
| 0.058594 |
CREATE TABLE table_name_63 (affiliation VARCHAR2, nickname VARCHAR2)
|
Who is affiliated with the Dukes?
|
SELECT affiliation FROM table_name_63 WHERE nickname = "dukes"
|
SELECT "affiliation" FROM "table_name_63" WHERE "dukes" = "nickname"
| 0.066406 |
CREATE TABLE table_55297 ("Nation" CLOB, "Gold" CLOB, "Silver" CLOB, "Bronze" CLOB, "Total" FLOAT)
|
Which nation won 1 gold medal and 1 bronze, for a total of 2 medals?
|
SELECT "Nation" FROM table_55297 WHERE "Gold" = '1' AND "Bronze" = '1' AND "Total" = '2'
|
SELECT "Nation" FROM "table_55297" WHERE "Bronze" = '1' AND "Gold" = '1' AND "Total" = '2'
| 0.087891 |
CREATE TABLE ReviewTaskResults (Id NUMBER, ReviewTaskId NUMBER, ReviewTaskResultTypeId NUMBER, CreationDate TIME, RejectionReasonId NUMBER, Comment CLOB)
CREATE TABLE ReviewTaskStates (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Posts (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
CREATE TABLE ReviewTaskResultTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Badges (Id NUMBER, UserId NUMBER, Name CLOB, Date TIME, Class NUMBER, TagBased BOOLEAN)
CREATE TABLE PostTypes (Id NUMBER, Name CLOB)
CREATE TABLE PostNotices (Id NUMBER, PostId NUMBER, PostNoticeTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body CLOB, OwnerUserId NUMBER, DeletionUserId NUMBER)
CREATE TABLE PostTags (PostId NUMBER, TagId NUMBER)
CREATE TABLE PostFeedback (Id NUMBER, PostId NUMBER, IsAnonymous BOOLEAN, VoteTypeId NUMBER, CreationDate TIME)
CREATE TABLE ReviewTasks (Id NUMBER, ReviewTaskTypeId NUMBER, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMBER, PostId NUMBER, SuggestedEditId NUMBER, CompletedByReviewTaskId NUMBER)
CREATE TABLE SuggestedEdits (Id NUMBER, PostId NUMBER, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMBER, Comment CLOB, Text CLOB, Title CLOB, Tags CLOB, RevisionGUID other)
CREATE TABLE Users (Id NUMBER, Reputation NUMBER, CreationDate TIME, DisplayName CLOB, LastAccessDate TIME, WebsiteUrl CLOB, Location CLOB, AboutMe CLOB, Views NUMBER, UpVotes NUMBER, DownVotes NUMBER, ProfileImageUrl CLOB, EmailHash CLOB, AccountId NUMBER)
CREATE TABLE Tags (Id NUMBER, TagName CLOB, Count NUMBER, ExcerptPostId NUMBER, WikiPostId NUMBER)
CREATE TABLE FlagTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE Votes (Id NUMBER, PostId NUMBER, VoteTypeId NUMBER, UserId NUMBER, CreationDate TIME, BountyAmount NUMBER)
CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMBER, IsUniversal BOOLEAN, InputTitle CLOB, MarkdownInputGuidance CLOB, MarkdownPostOwnerGuidance CLOB, MarkdownPrivilegedUserGuidance CLOB, MarkdownConcensusDescription CLOB, CreationDate TIME, CreationModeratorId NUMBER, ApprovalDate TIME, ApprovalModeratorId NUMBER, DeactivationDate TIME, DeactivationModeratorId NUMBER)
CREATE TABLE PostHistoryTypes (Id NUMBER, Name CLOB)
CREATE TABLE ReviewRejectionReasons (Id NUMBER, Name CLOB, Description CLOB, PostTypeId NUMBER)
CREATE TABLE PostHistory (Id NUMBER, PostHistoryTypeId NUMBER, PostId NUMBER, RevisionGUID other, CreationDate TIME, UserId NUMBER, UserDisplayName CLOB, Comment CLOB, Text CLOB, ContentLicense CLOB)
CREATE TABLE TagSynonyms (Id NUMBER, SourceTagName CLOB, TargetTagName CLOB, CreationDate TIME, OwnerUserId NUMBER, AutoRenameCount NUMBER, LastAutoRename TIME, Score NUMBER, ApprovedByUserId NUMBER, ApprovalDate TIME)
CREATE TABLE VoteTypes (Id NUMBER, Name CLOB)
CREATE TABLE Comments (Id NUMBER, PostId NUMBER, Score NUMBER, Text CLOB, CreationDate TIME, UserDisplayName CLOB, UserId NUMBER, ContentLicense CLOB)
CREATE TABLE SuggestedEditVotes (Id NUMBER, SuggestedEditId NUMBER, UserId NUMBER, VoteTypeId NUMBER, CreationDate TIME, TargetUserId NUMBER, TargetRepChange NUMBER)
CREATE TABLE CloseReasonTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PostNoticeTypes (Id NUMBER, ClassId NUMBER, Name CLOB, Body CLOB, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId NUMBER)
CREATE TABLE PostLinks (Id NUMBER, CreationDate TIME, PostId NUMBER, RelatedPostId NUMBER, LinkTypeId NUMBER)
CREATE TABLE ReviewTaskTypes (Id NUMBER, Name CLOB, Description CLOB)
CREATE TABLE PendingFlags (Id NUMBER, FlagTypeId NUMBER, PostId NUMBER, CreationDate TIME, CloseReasonTypeId NUMBER, CloseAsOffTopicReasonTypeId NUMBER, DuplicateOfQuestionId NUMBER, BelongsOnBaseHostAddress CLOB)
CREATE TABLE PostsWithDeleted (Id NUMBER, PostTypeId NUMBER, AcceptedAnswerId NUMBER, ParentId NUMBER, CreationDate TIME, DeletionDate TIME, Score NUMBER, ViewCount NUMBER, Body CLOB, OwnerUserId NUMBER, OwnerDisplayName CLOB, LastEditorUserId NUMBER, LastEditorDisplayName CLOB, LastEditDate TIME, LastActivityDate TIME, Title CLOB, Tags CLOB, AnswerCount NUMBER, CommentCount NUMBER, FavoriteCount NUMBER, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense CLOB)
|
Answer Rate for Lex Question.
|
WITH diffs AS (SELECT CAST(a.CreationDate - Question.CreationDate AS FLOAT) AS d FROM Posts AS Question JOIN Posts AS a ON a.Id = Question.AcceptedAnswerId WHERE (Question.Tags LIKE '%<amazon-lex%' OR Question.Tags LIKE '%<aws-lex%') AND Question.CreationDate >= '2019-01-01') SELECT AVG(d), STDEV(d) FROM diffs
|
SELECT AVG("d"), STDEV("d") FROM "Posts" "Question" JOIN "Posts" "a" ON "Question"."AcceptedAnswerId" = "a"."Id" WHERE "Question"."CreationDate" >= '2019-01-01' AND ("Question"."Tags" LIKE '%<amazon-lex%' OR "Question"."Tags" LIKE '%<aws-lex%')
| 0.238281 |
CREATE TABLE Orders (order_id NUMBER, customer_id NUMBER, date_order_placed DATETIME, order_details VARCHAR2)
CREATE TABLE Product_Categories (production_type_code VARCHAR2, product_type_description VARCHAR2, vat_rating NUMBER)
CREATE TABLE Financial_Transactions (transaction_id NUMBER, account_id NUMBER, invoice_number NUMBER, transaction_type VARCHAR2, transaction_date DATETIME, transaction_amount NUMBER, transaction_comment VARCHAR2, other_transaction_details VARCHAR2)
CREATE TABLE Invoices (invoice_number NUMBER, order_id NUMBER, invoice_date DATETIME)
CREATE TABLE Invoice_Line_Items (order_item_id NUMBER, invoice_number NUMBER, product_id NUMBER, product_title VARCHAR2, product_quantity VARCHAR2, product_price NUMBER, derived_product_cost NUMBER, derived_vat_payable NUMBER, derived_total_cost NUMBER)
CREATE TABLE Order_Items (order_item_id NUMBER, order_id NUMBER, product_id NUMBER, product_quantity VARCHAR2, other_order_item_details VARCHAR2)
CREATE TABLE Accounts (account_id NUMBER, customer_id NUMBER, date_account_opened DATETIME, account_name VARCHAR2, other_account_details VARCHAR2)
CREATE TABLE Customers (customer_id NUMBER, customer_first_name VARCHAR2, customer_middle_initial VARCHAR2, customer_last_name VARCHAR2, gender VARCHAR2, email_address VARCHAR2, login_name VARCHAR2, login_password VARCHAR2, phone_number VARCHAR2, town_city VARCHAR2, state_county_province VARCHAR2, country VARCHAR2)
CREATE TABLE Products (product_id NUMBER, parent_product_id NUMBER, production_type_code VARCHAR2, unit_price NUMBER, product_name VARCHAR2, product_color VARCHAR2, product_size VARCHAR2)
|
Show all product names and the total quantity ordered for each product name in a bar chart.
|
SELECT product_name, SUM(T1.product_quantity) FROM Order_Items AS T1 JOIN Products AS T2 ON T1.product_id = T2.product_id GROUP BY T2.product_name
|
SELECT "product_name", SUM("T1"."product_quantity") FROM "Order_Items" "T1" JOIN "Products" "T2" ON "T1"."product_id" = "T2"."product_id" GROUP BY "T2"."product_name"
| 0.162109 |
CREATE TABLE table_39162 ("Year" FLOAT, "Championship" CLOB, "54 holes" CLOB, "Winning score" CLOB, "Margin" CLOB, "Runner-up" CLOB)
|
Name the winning score for jim barnes and year of 1924
|
SELECT "Winning score" FROM table_39162 WHERE "Runner-up" = 'jim barnes' AND "Year" = '1924'
|
SELECT "Winning score" FROM "table_39162" WHERE "Runner-up" = 'jim barnes' AND "Year" = '1924'
| 0.091797 |
CREATE TABLE table_53547 ("D 50 \\u221a" CLOB, "D 49 \\u221a" CLOB, "D 48 \\u221a" CLOB, "D 47 \\u221a" CLOB, "D 46 \\u221a" CLOB, "D 45 \\u221a" CLOB, "D 44 \\u221a" CLOB, "D 43 \\u221a" CLOB, "D 42 \\u221a" CLOB, "D 41 \\u221a" CLOB)
|
What is the D 50 when the D 47 is r 27 ?
|
SELECT "D 50 \u221a" FROM table_53547 WHERE "D 47 \u221a" = 'r 27 √'
|
SELECT "D 50 \u221a" FROM "table_53547" WHERE "D 47 \u221a" = 'r 27 √'
| 0.068359 |
CREATE TABLE demographic (subject_id CLOB, hadm_id CLOB, name CLOB, marital_status CLOB, age CLOB, dob CLOB, gender CLOB, language CLOB, religion CLOB, admission_type CLOB, days_stay CLOB, insurance CLOB, ethnicity CLOB, expire_flag CLOB, admission_location CLOB, discharge_location CLOB, diagnosis CLOB, dod CLOB, dob_year CLOB, dod_year CLOB, admittime CLOB, dischtime CLOB, admityear CLOB)
CREATE TABLE diagnoses (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
CREATE TABLE lab (subject_id CLOB, hadm_id CLOB, itemid CLOB, charttime CLOB, flag CLOB, value_unit CLOB, label CLOB, fluid CLOB)
CREATE TABLE prescriptions (subject_id CLOB, hadm_id CLOB, icustay_id CLOB, drug_type CLOB, drug CLOB, formulary_drug_cd CLOB, route CLOB, drug_dose CLOB)
CREATE TABLE procedures (subject_id CLOB, hadm_id CLOB, icd9_code CLOB, short_title CLOB, long_title CLOB)
|
find the number of patients whose diagnosis short title is pseudomonas infect nos and the drug type is main.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Pseudomonas infect NOS" AND prescriptions.drug_type = "MAIN"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Pseudomonas infect NOS" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "MAIN" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id"
| 0.302734 |
CREATE TABLE table_204_487 (id NUMBER, "home team" CLOB, "score" CLOB, "visiting team" CLOB, "location" CLOB, "venue" CLOB, "door" CLOB, "surface" CLOB)
|
the other team besides brazil to score 5 goals
|
SELECT "home team" FROM table_204_487 WHERE "home team" <> 'brazil' AND "score" = 5
|
SELECT "home team" FROM "table_204_487" WHERE "home team" <> 'brazil' AND "score" = 5
| 0.083008 |
CREATE TABLE table_name_24 (class VARCHAR2, tyres VARCHAR2, year VARCHAR2)
|
Which class more recent than 1988 has G tyres?
|
SELECT class FROM table_name_24 WHERE tyres = "g" AND year > 1988
|
SELECT "class" FROM "table_name_24" WHERE "g" = "tyres" AND "year" > 1988
| 0.071289 |
CREATE TABLE table_name_69 (total NUMBER, routine_score VARCHAR2)
|
What is the sum of the total for a routine score of 26.6?
|
SELECT SUM(total) FROM table_name_69 WHERE routine_score = 26.6
|
SELECT SUM("total") FROM "table_name_69" WHERE "routine_score" = 26.6
| 0.067383 |
CREATE TABLE table_13648 ("Round" FLOAT, "Dates" CLOB, "Rally Name" CLOB, "Rally HQ" CLOB, "Support Category" CLOB, "Surface" CLOB)
|
How many rounds have a Surface of wintry asphalt?
|
SELECT COUNT("Round") FROM table_13648 WHERE "Surface" = 'wintry asphalt'
|
SELECT COUNT("Round") FROM "table_13648" WHERE "Surface" = 'wintry asphalt'
| 0.073242 |
CREATE TABLE table_name_40 (country VARCHAR2, of_1 VARCHAR2)
|
What country has OF-1 Locotenent?
|
SELECT country FROM table_name_40 WHERE of_1 = "locotenent"
|
SELECT "country" FROM "table_name_40" WHERE "locotenent" = "of_1"
| 0.063477 |
CREATE TABLE table_1050 ("Island" CLOB, "Gaelic name" CLOB, "Area ( ha ) " FLOAT, "Population" FLOAT, "Highest point" CLOB, "Height ( m ) " FLOAT)
|
What is the area of Colonsay Island?
|
SELECT MIN("Area ( ha )") FROM table_1050 WHERE "Island" = 'Colonsay'
|
SELECT MIN("Area ( ha )") FROM "table_1050" WHERE "Island" = 'Colonsay'
| 0.069336 |
CREATE TABLE table_65851 ("Year" CLOB, "Location" CLOB, "Number of teams" CLOB, "Player of the tournament" CLOB, "Top goalscorer ( s ) " CLOB, "Best goalkeeper" CLOB)
|
What is the location of the tournament where the best goalkeeper had 164 (8.2)?
|
SELECT "Location" FROM table_65851 WHERE "Best goalkeeper" = '164 (8.2)'
|
SELECT "Location" FROM "table_65851" WHERE "Best goalkeeper" = '164 (8.2)'
| 0.072266 |
CREATE TABLE table_50722 ("Rank" FLOAT, "Club" CLOB, "Winners" FLOAT, "Runners-up" FLOAT, "Third" FLOAT)
|
Which club has 1 runners-up with 0 winners and 2 third place earned?
|
SELECT "Club" FROM table_50722 WHERE "Runners-up" = '1' AND "Winners" = '0' AND "Third" = '2'
|
SELECT "Club" FROM "table_50722" WHERE "Runners-up" = '1' AND "Third" = '2' AND "Winners" = '0'
| 0.092773 |
CREATE TABLE table_name_31 (status VARCHAR2, name VARCHAR2)
|
What is the status of Norris?
|
SELECT status FROM table_name_31 WHERE name = "norris"
|
SELECT "status" FROM "table_name_31" WHERE "name" = "norris"
| 0.058594 |
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
|
when did since 09/2105 patient 025-44495 last receive a microbiology test?
|
SELECT microlab.culturetakentime FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '025-44495')) AND STRFTIME('%y-%m', microlab.culturetakentime) >= '2105-09' ORDER BY microlab.culturetakentime DESC LIMIT 1
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '025-44495' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "microlab"."culturetakentime" FROM "microlab" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "microlab"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y-%m', "microlab"."culturetakentime") >= '2105-09' ORDER BY "microlab"."culturetakentime" DESC FETCH FIRST 1 ROWS ONLY
| 0.624023 |
CREATE TABLE book (Book_ID NUMBER, Title CLOB, Issues FLOAT, Writer CLOB)
CREATE TABLE publication (Publication_ID NUMBER, Book_ID NUMBER, Publisher CLOB, Publication_Date CLOB, Price FLOAT)
|
A bar chart showing the number of publication dates of books, and sort by the Y-axis in asc please.
|
SELECT Publication_Date, COUNT(Publication_Date) FROM publication GROUP BY Publication_Date ORDER BY COUNT(Publication_Date)
|
SELECT "Publication_Date", COUNT("Publication_Date") FROM "publication" GROUP BY "Publication_Date" ORDER BY COUNT("Publication_Date")
| 0.130859 |
CREATE TABLE vitalperiodic (vitalperiodicid NUMBER, patientunitstayid NUMBER, temperature NUMBER, sao2 NUMBER, heartrate NUMBER, respiration NUMBER, systemicsystolic NUMBER, systemicdiastolic NUMBER, systemicmean NUMBER, observationtime TIME)
CREATE TABLE patient (uniquepid CLOB, patienthealthsystemstayid NUMBER, patientunitstayid NUMBER, gender CLOB, age CLOB, ethnicity CLOB, hospitalid NUMBER, wardid NUMBER, admissionheight NUMBER, admissionweight NUMBER, dischargeweight NUMBER, hospitaladmittime TIME, hospitaladmitsource CLOB, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus CLOB)
CREATE TABLE intakeoutput (intakeoutputid NUMBER, patientunitstayid NUMBER, cellpath CLOB, celllabel CLOB, cellvaluenumeric NUMBER, intakeoutputtime TIME)
CREATE TABLE lab (labid NUMBER, patientunitstayid NUMBER, labname CLOB, labresult NUMBER, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid NUMBER, patientunitstayid NUMBER, diagnosisname CLOB, diagnosistime TIME, icd9code CLOB)
CREATE TABLE microlab (microlabid NUMBER, patientunitstayid NUMBER, culturesite CLOB, organism CLOB, culturetakentime TIME)
CREATE TABLE treatment (treatmentid NUMBER, patientunitstayid NUMBER, treatmentname CLOB, treatmenttime TIME)
CREATE TABLE allergy (allergyid NUMBER, patientunitstayid NUMBER, drugname CLOB, allergyname CLOB, allergytime TIME)
CREATE TABLE cost (costid NUMBER, uniquepid CLOB, patienthealthsystemstayid NUMBER, eventtype CLOB, eventid NUMBER, chargetime TIME, cost NUMBER)
CREATE TABLE medication (medicationid NUMBER, patientunitstayid NUMBER, drugname CLOB, dosage CLOB, routeadmin CLOB, drugstarttime TIME, drugstoptime TIME)
|
how many days has passed since the first time patient 015-91239 has had volume (ml) fentanyl intake on the current icu visit?
|
SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', intakeoutput.intakeoutputtime)) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '015-91239') AND patient.unitdischargetime IS NULL) AND intakeoutput.celllabel = 'volume (ml) fentanyl' AND intakeoutput.cellpath LIKE '%intake%' ORDER BY intakeoutput.intakeoutputtime LIMIT 1
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '015-91239' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE "patient"."unitdischargetime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "intakeoutput"."intakeoutputtime")) FROM "intakeoutput" LEFT JOIN "_u_1" "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'volume (ml) fentanyl' AND "intakeoutput"."cellpath" LIKE '%intake%' AND NOT "_u_1"."" IS NULL ORDER BY "intakeoutput"."intakeoutputtime" FETCH FIRST 1 ROWS ONLY
| 0.764648 |
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