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CREATE TABLE table_40888 ("Round" FLOAT, "Pick" FLOAT, "Player" TEXT, "Position" TEXT, "School/Club Team" TEXT)
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What position does the player from Winston-Salem State play?
|
SELECT "Position" FROM table_40888 WHERE "School/Club Team" = 'winston-salem state'
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SELECT "Position" FROM "table_40888" WHERE "School/Club Team" = 'winston-salem state'
| 0.083008 |
CREATE TABLE table_1341395_36 (district VARCHAR, incumbent VARCHAR)
|
In what district was the incumbent Steve Chabot?
|
SELECT district FROM table_1341395_36 WHERE incumbent = "Steve Chabot"
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SELECT "district" FROM "table_1341395_36" WHERE "Steve Chabot" = "incumbent"
| 0.074219 |
CREATE TABLE table_53101 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
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I want the time/retired for eddie irvine
|
SELECT "Time/Retired" FROM table_53101 WHERE "Driver" = 'eddie irvine'
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SELECT "Time/Retired" FROM "table_53101" WHERE "Driver" = 'eddie irvine'
| 0.070313 |
CREATE TABLE table_6368 ("Date" FLOAT, "Opponent" TEXT, "Venue" TEXT, "Result" TEXT, "Attendance" FLOAT, "Competition" TEXT)
|
How many Dates have an Opponent of romford raiders, and a Result of won 7-3, and an Attendance larger than 1,769?
|
SELECT COUNT("Date") FROM table_6368 WHERE "Opponent" = 'romford raiders' AND "Result" = 'won 7-3' AND "Attendance" > '1,769'
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SELECT COUNT("Date") FROM "table_6368" WHERE "Attendance" > '1,769' AND "Opponent" = 'romford raiders' AND "Result" = 'won 7-3'
| 0.124023 |
CREATE TABLE table_75423 ("Year" FLOAT, "Event" TEXT, "Venue" TEXT, "Driver" TEXT, "Result" TEXT, "Category" TEXT, "Report" TEXT)
|
When did Hans Hartmann drive?
|
SELECT COUNT("Year") FROM table_75423 WHERE "Driver" = 'hans hartmann'
|
SELECT COUNT("Year") FROM "table_75423" WHERE "Driver" = 'hans hartmann'
| 0.070313 |
CREATE TABLE table_22265225_1 (us_viewers__millions_ VARCHAR, no_in_series VARCHAR)
|
How many times was u.s. Viewers listed for episode 36 in the series?
|
SELECT COUNT(us_viewers__millions_) FROM table_22265225_1 WHERE no_in_series = "36"
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SELECT COUNT("us_viewers__millions_") FROM "table_22265225_1" WHERE "36" = "no_in_series"
| 0.086914 |
CREATE TABLE table_name_79 (ensemble_name VARCHAR, advertisement_date VARCHAR)
|
Which Ensemble Name has the Advertisement date October 2007?
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SELECT ensemble_name FROM table_name_79 WHERE advertisement_date = "october 2007"
|
SELECT "ensemble_name" FROM "table_name_79" WHERE "advertisement_date" = "october 2007"
| 0.084961 |
CREATE TABLE table_24237 ("Name" TEXT, "Municipal status" TEXT, "Census division" TEXT, "Population ( 2011 ) " FLOAT, "Population ( 2006 ) " FLOAT, "Change ( % ) " TEXT, "Area ( km\\u00b2 ) " TEXT, "Population density" TEXT)
|
What is the census division for the city named Kenora?
|
SELECT "Census division" FROM table_24237 WHERE "Name" = 'Kenora'
|
SELECT "Census division" FROM "table_24237" WHERE "Name" = 'Kenora'
| 0.06543 |
CREATE TABLE Visits (Visit_ID INT, Tourist_Attraction_ID INT, Tourist_ID INT, Visit_Date DATETIME, Visit_Details VARCHAR)
CREATE TABLE Photos (Photo_ID INT, Tourist_Attraction_ID INT, Name VARCHAR, Description VARCHAR, Filename VARCHAR, Other_Details VARCHAR)
CREATE TABLE Theme_Parks (Theme_Park_ID INT, Theme_Park_Details VARCHAR)
CREATE TABLE Features (Feature_ID INT, Feature_Details VARCHAR)
CREATE TABLE Shops (Shop_ID INT, Shop_Details VARCHAR)
CREATE TABLE Hotels (hotel_id INT, star_rating_code CHAR, pets_allowed_yn CHAR, price_range FLOAT, other_hotel_details VARCHAR)
CREATE TABLE Tourist_Attraction_Features (Tourist_Attraction_ID INT, Feature_ID INT)
CREATE TABLE Museums (Museum_ID INT, Museum_Details VARCHAR)
CREATE TABLE Locations (Location_ID INT, Location_Name VARCHAR, Address VARCHAR, Other_Details VARCHAR)
CREATE TABLE Staff (Staff_ID INT, Tourist_Attraction_ID INT, Name VARCHAR, Other_Details VARCHAR)
CREATE TABLE Royal_Family (Royal_Family_ID INT, Royal_Family_Details VARCHAR)
CREATE TABLE Ref_Hotel_Star_Ratings (star_rating_code CHAR, star_rating_description VARCHAR)
CREATE TABLE Ref_Attraction_Types (Attraction_Type_Code CHAR, Attraction_Type_Description VARCHAR)
CREATE TABLE Tourist_Attractions (Tourist_Attraction_ID INT, Attraction_Type_Code CHAR, Location_ID INT, How_to_Get_There VARCHAR, Name VARCHAR, Description VARCHAR, Opening_Hours VARCHAR, Other_Details VARCHAR)
CREATE TABLE Street_Markets (Market_ID INT, Market_Details VARCHAR)
CREATE TABLE Visitors (Tourist_ID INT, Tourist_Details VARCHAR)
|
Show different ways to get to attractions and the number of attractions that can be accessed in the corresponding way Plot them as bar chart, could you display by the y axis in descending please?
|
SELECT How_to_Get_There, COUNT(*) FROM Tourist_Attractions GROUP BY How_to_Get_There ORDER BY COUNT(*) DESC
|
SELECT "How_to_Get_There", COUNT(*) FROM "Tourist_Attractions" GROUP BY "How_to_Get_There" ORDER BY COUNT(*) DESC NULLS LAST
| 0.121094 |
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip 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 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 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 offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
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 instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req 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 semester (semester_id INT, semester VARCHAR, year 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 ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
|
Can you recommend an easy FRENCH class ?
|
SELECT DISTINCT course.name, course.number, program_course.workload FROM course, program_course WHERE course.department LIKE '%FRENCH%' AND program_course.course_id = course.course_id AND program_course.workload < 3
|
SELECT DISTINCT "course"."name", "course"."number", "program_course"."workload" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."workload" < 3 WHERE "course"."department" LIKE '%FRENCH%'
| 0.244141 |
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom 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 prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_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 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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_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 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_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
|
what is the name of drug that patient 63676 was prescribed for within 2 days after having been diagnosed with gstr/ddnts nos w hmrhg in 03/2105?
|
SELECT t2.drug FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE admissions.subject_id = 63676 AND diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'gstr/ddnts nos w hmrhg') AND STRFTIME('%y-%m', diagnoses_icd.charttime) = '2105-03') AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE admissions.subject_id = 63676 AND STRFTIME('%y-%m', prescriptions.startdate) = '2105-03') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND DATETIME(t2.startdate) BETWEEN DATETIME(t1.charttime) AND DATETIME(t1.charttime, '+2 day')
|
WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" AND "admissions"."subject_id" = 63676 WHERE STRFTIME('%y-%m', "prescriptions"."startdate") = '2105-03') SELECT "t2"."drug" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'gstr/ddnts nos w hmrhg' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" AND "admissions"."subject_id" = 63676 JOIN "t2" AS "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."startdate" AND DATETIME("diagnoses_icd"."charttime") <= DATETIME("t2"."startdate") AND DATETIME("diagnoses_icd"."charttime", '+2 day') >= DATETIME("t2"."startdate") WHERE STRFTIME('%y-%m', "diagnoses_icd"."charttime") = '2105-03'
| 0.910156 |
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR, Document_Type_Description VARCHAR)
CREATE TABLE Ref_Locations (Location_Code CHAR, Location_Name VARCHAR, Location_Description VARCHAR)
CREATE TABLE Document_Locations (Document_ID INT, Location_Code CHAR, Date_in_Location_From DATETIME, Date_in_Locaton_To DATETIME)
CREATE TABLE All_Documents (Document_ID INT, Date_Stored DATETIME, Document_Type_Code CHAR, Document_Name CHAR, Document_Description CHAR, Other_Details VARCHAR)
CREATE TABLE Roles (Role_Code CHAR, Role_Name VARCHAR, Role_Description VARCHAR)
CREATE TABLE Documents_to_be_Destroyed (Document_ID INT, Destruction_Authorised_by_Employee_ID INT, Destroyed_by_Employee_ID INT, Planned_Destruction_Date DATETIME, Actual_Destruction_Date DATETIME, Other_Details VARCHAR)
CREATE TABLE Employees (Employee_ID INT, Role_Code CHAR, Employee_Name VARCHAR, Gender_MFU CHAR, Date_of_Birth DATETIME, Other_Details VARCHAR)
CREATE TABLE Ref_Calendar (Calendar_Date DATETIME, Day_Number INT)
|
Bar chart x axis date in location from y axis the number of date in location from, and sort by the y axis in asc.
|
SELECT Date_in_Location_From, COUNT(Date_in_Location_From) FROM Document_Locations ORDER BY COUNT(Date_in_Location_From)
|
SELECT "Date_in_Location_From", COUNT("Date_in_Location_From") FROM "Document_Locations" ORDER BY COUNT("Date_in_Location_From") NULLS FIRST
| 0.136719 |
CREATE TABLE table_71937 ("Rank" FLOAT, "Lane" FLOAT, "Name" TEXT, "Nationality" TEXT, "Time" FLOAT)
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What is the Name of the person from the Netherlands in a Lane lower than 5, with a Rank better than 5, and a time of less than 55.62?
|
SELECT "Name" FROM table_71937 WHERE "Rank" < '5' AND "Time" < '55.62' AND "Lane" < '5' AND "Nationality" = 'netherlands'
|
SELECT "Name" FROM "table_71937" WHERE "Lane" < '5' AND "Nationality" = 'netherlands' AND "Rank" < '5' AND "Time" < '55.62'
| 0.120117 |
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)
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
|
Give me the comparison about Team_ID over the All_Neutral , I want to show All_Neutral in desc order.
|
SELECT All_Neutral, Team_ID FROM basketball_match ORDER BY All_Neutral DESC
|
SELECT "All_Neutral", "Team_ID" FROM "basketball_match" ORDER BY "All_Neutral" DESC NULLS LAST
| 0.091797 |
CREATE TABLE table_name_84 (grid VARCHAR, team VARCHAR)
|
What grid did the team racing professionals race on?
|
SELECT grid FROM table_name_84 WHERE team = "racing professionals"
|
SELECT "grid" FROM "table_name_84" WHERE "racing professionals" = "team"
| 0.070313 |
CREATE TABLE table_5419 ("Game" FLOAT, "December" FLOAT, "Opponent" TEXT, "Score" TEXT, "Record" TEXT, "Points" FLOAT)
|
Which Game is the highest one that has an Opponent of new york islanders, and a December larger than 10?
|
SELECT MAX("Game") FROM table_5419 WHERE "Opponent" = 'new york islanders' AND "December" > '10'
|
SELECT MAX("Game") FROM "table_5419" WHERE "December" > '10' AND "Opponent" = 'new york islanders'
| 0.095703 |
CREATE TABLE table_58813 ("Tie no" TEXT, "Home team" TEXT, "Score" TEXT, "Away team" TEXT, "Date" TEXT)
|
What was the score when the Tie no was 9?
|
SELECT "Score" FROM table_58813 WHERE "Tie no" = '9'
|
SELECT "Score" FROM "table_58813" WHERE "Tie no" = '9'
| 0.052734 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
|
For those records from the products and each product's manufacturer, visualize the relationship between manufacturer and revenue , and group by attribute founder.
|
SELECT Manufacturer, Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder
|
SELECT "Manufacturer", "Revenue" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder"
| 0.137695 |
CREATE TABLE table_1028356_3 (surface VARCHAR, score VARCHAR)
|
How many matched scored 3 6, 7 6(5), 6 3?
|
SELECT COUNT(surface) FROM table_1028356_3 WHERE score = "3–6, 7–6(5), 6–3"
|
SELECT COUNT("surface") FROM "table_1028356_3" WHERE "3–6, 7–6(5), 6–3" = "score"
| 0.079102 |
CREATE TABLE table_23401 ("Rd." FLOAT, "Circuit" TEXT, "City / State" TEXT, "Date" TEXT, "Format" TEXT, "Round winner" TEXT, "Car" TEXT, "Entrant" TEXT)
|
Who is the round winner of the wanneroo park circuit?
|
SELECT "Round winner" FROM table_23401 WHERE "Circuit" = 'Wanneroo Park'
|
SELECT "Round winner" FROM "table_23401" WHERE "Circuit" = 'Wanneroo Park'
| 0.072266 |
CREATE TABLE table_75258 ("Rank" FLOAT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT, "Participants" FLOAT)
|
What is listed as the highest Gold that also has a Silver that's smaller than 1, and has a Total that's smaller than 0?
|
SELECT MAX("Gold") FROM table_75258 WHERE "Silver" < '1' AND "Total" < '0'
|
SELECT MAX("Gold") FROM "table_75258" WHERE "Silver" < '1' AND "Total" < '0'
| 0.074219 |
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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE 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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
|
in 2105, has patient 61591 been given any diagnosis?
|
SELECT COUNT(*) > 0 FROM diagnoses_icd WHERE diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 61591) AND STRFTIME('%y', diagnoses_icd.charttime) = '2105'
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 61591 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "diagnoses_icd" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "diagnoses_icd"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND STRFTIME('%y', "diagnoses_icd"."charttime") = '2105'
| 0.30957 |
CREATE TABLE table_25852 ("Mother Tongue" TEXT, "Population ( 2006 ) " FLOAT, "Percentage ( 2006 ) " TEXT, "Population ( 2011 ) " FLOAT, "Percentage ( 2011 ) " TEXT)
|
What was the minimum population in 2011?
|
SELECT MIN("Population (2011)") FROM table_25852
|
SELECT MIN("Population (2011)") FROM "table_25852"
| 0.048828 |
CREATE TABLE table_name_58 (hand VARCHAR)
|
What does full house have as a 5 credits?
|
SELECT 5 AS _credits FROM table_name_58 WHERE hand = "full house"
|
SELECT 5 AS "_credits" FROM "table_name_58" WHERE "full house" = "hand"
| 0.069336 |
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)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
how many female patients are tested in lab for base excess?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.gender = "F" AND lab.label = "Base Excess"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Base Excess" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "F" = "demographic"."gender"
| 0.188477 |
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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_icd_diagnoses (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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
|
how many times does patient 67005 produce urine out foley in 08/2104?
|
SELECT COUNT(*) 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 = 67005)) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'urine out foley' AND d_items.linksto = 'outputevents') AND STRFTIME('%y-%m', outputevents.charttime) = '2104-08'
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 67005 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" = 'urine out foley' AND "d_items"."linksto" = 'outputevents' GROUP BY "itemid") SELECT COUNT(*) FROM "outputevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "outputevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "outputevents"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%y-%m', "outputevents"."charttime") = '2104-08'
| 0.723633 |
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
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_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
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 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)
|
During the Fall and Winter term , how many 200 level classes are there ?
|
SELECT COUNT(DISTINCT course.course_id, semester.semester) FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'department0' AND course.number BETWEEN 200 AND 200 + 100 AND semester.semester IN ('FA', 'WN') AND semester.semester_id = course_offering.semester AND semester.year = 2016
|
SELECT COUNT(DISTINCT "course"."course_id", "semester"."semester") FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" IN ('FA', 'WN') AND "semester"."year" = 2016 WHERE "course"."department" = 'department0' AND "course"."number" <= 300 AND "course"."number" >= 200
| 0.397461 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
|
how many hispanic or latino patients have procedure icd9 code 3322?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.ethnicity = "HISPANIC OR LATINO" AND procedures.icd9_code = "3322"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "3322" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "HISPANIC OR LATINO" = "demographic"."ethnicity"
| 0.225586 |
CREATE TABLE table_train_94 ("id" INT, "mini_mental_state_examination_mmse" INT, "substance_dependence" BOOLEAN, "psychiatric_disease" BOOLEAN, "modified_hachinski_ischemia_scale" INT, "smoking" BOOLEAN, "alcohol_abuse" BOOLEAN, "NOUSE" FLOAT)
|
severe psychiatric disorder
|
SELECT * FROM table_train_94 WHERE psychiatric_disease = 1
|
SELECT * FROM "table_train_94" WHERE "psychiatric_disease" = 1
| 0.060547 |
CREATE TABLE table_63839 ("Year" FLOAT, "Competition" TEXT, "Venue" TEXT, "Position" TEXT, "Notes" TEXT)
|
What is the average year in which the finish position was 13th?
|
SELECT AVG("Year") FROM table_63839 WHERE "Position" = '13th'
|
SELECT AVG("Year") FROM "table_63839" WHERE "Position" = '13th'
| 0.061523 |
CREATE TABLE stadium (ID INT, name TEXT, Capacity INT, City TEXT, Country TEXT, Opening_year INT)
CREATE TABLE event (ID INT, Name TEXT, Stadium_ID INT, Year TEXT)
CREATE TABLE record (ID INT, Result TEXT, Swimmer_ID INT, Event_ID INT)
CREATE TABLE swimmer (ID INT, name TEXT, Nationality TEXT, meter_100 FLOAT, meter_200 TEXT, meter_300 TEXT, meter_400 TEXT, meter_500 TEXT, meter_600 TEXT, meter_700 TEXT, Time TEXT)
|
Draw a bar chart about the distribution of meter_700 and ID , and order in asc by the names.
|
SELECT meter_700, ID FROM swimmer ORDER BY meter_700
|
SELECT "meter_700", "ID" FROM "swimmer" ORDER BY "meter_700" NULLS FIRST
| 0.070313 |
CREATE TABLE table_name_98 (goals_for INT, ties INT)
|
What is the score of Goal For which has a Ties larger 0?
|
SELECT MIN(goals_for) FROM table_name_98 WHERE ties > 0
|
SELECT MIN("goals_for") FROM "table_name_98" WHERE "ties" > 0
| 0.05957 |
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostTags (PostId DECIMAL, TagId 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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress 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 PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId 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 FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
|
Users age distribution, average users distribution in different years [AskDifferent].
|
SELECT COUNT(*) AS Number_of_Users_without_filled_Age FROM Users WHERE Age IS NULL GROUP BY Age
|
SELECT COUNT(*) AS "Number_of_Users_without_filled_Age" FROM "Users" WHERE "Age" IS NULL GROUP BY "Age"
| 0.100586 |
CREATE TABLE table_29546218_3 (skip__club_ VARCHAR, pf VARCHAR)
|
What is the total mumber of skip (club) entries when the pf is 40?
|
SELECT COUNT(skip__club_) FROM table_29546218_3 WHERE pf = 40
|
SELECT COUNT("skip__club_") FROM "table_29546218_3" WHERE "pf" = 40
| 0.06543 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
|
how many female patients had an emergency admission type?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.admission_type = "EMERGENCY"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "EMERGENCY" = "demographic"."admission_type" AND "F" = "demographic"."gender"
| 0.148438 |
CREATE TABLE record (ID INT, Result TEXT, Swimmer_ID INT, Event_ID INT)
CREATE TABLE swimmer (ID INT, name TEXT, Nationality TEXT, meter_100 FLOAT, meter_200 TEXT, meter_300 TEXT, meter_400 TEXT, meter_500 TEXT, meter_600 TEXT, meter_700 TEXT, Time TEXT)
CREATE TABLE stadium (ID INT, name TEXT, Capacity INT, City TEXT, Country TEXT, Opening_year INT)
CREATE TABLE event (ID INT, Name TEXT, Stadium_ID INT, Year TEXT)
|
A bar chart shows the distribution of meter_500 and ID , list by the X-axis in descending.
|
SELECT meter_500, ID FROM swimmer ORDER BY meter_500 DESC
|
SELECT "meter_500", "ID" FROM "swimmer" ORDER BY "meter_500" DESC NULLS LAST
| 0.074219 |
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 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)
|
give me the number of patients whose lab test abnormal status is delta and lab test name is parathyroid hormone?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.flag = "delta" AND lab.label = "Parathyroid Hormone"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Parathyroid Hormone" = "lab"."label" AND "delta" = "lab"."flag" AND "demographic"."hadm_id" = "lab"."hadm_id"
| 0.188477 |
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
|
For all employees who have the letters D or S in their first name, a bar chart shows the distribution of job_id and the sum of department_id , and group by attribute job_id.
|
SELECT JOB_ID, SUM(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID
|
SELECT "JOB_ID", SUM("DEPARTMENT_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' GROUP BY "JOB_ID"
| 0.125977 |
CREATE TABLE table_36858 ("City" TEXT, "State/Territory" TEXT, "IATA" TEXT, "ICAO" TEXT, "Airport" TEXT, "Begin" TEXT)
|
What begin has victoria as the state/territory and a ICA0 of ymml?
|
SELECT "Begin" FROM table_36858 WHERE "State/Territory" = 'victoria' AND "ICAO" = 'ymml'
|
SELECT "Begin" FROM "table_36858" WHERE "ICAO" = 'ymml' AND "State/Territory" = 'victoria'
| 0.087891 |
CREATE TABLE table_31092 ("Name" TEXT, "Occupation" TEXT, "Gender" TEXT, "Prison connection" TEXT, "Played by" TEXT, "Status" TEXT)
|
What is Joan Leaven's occupation?
|
SELECT "Occupation" FROM table_31092 WHERE "Name" = 'Joan Leaven'
|
SELECT "Occupation" FROM "table_31092" WHERE "Name" = 'Joan Leaven'
| 0.06543 |
CREATE TABLE table_12842068_1 (film_title_used_in_nomination VARCHAR, submitting_country VARCHAR)
|
What was the title of the movie from lebanon?
|
SELECT film_title_used_in_nomination FROM table_12842068_1 WHERE submitting_country = "Lebanon"
|
SELECT "film_title_used_in_nomination" FROM "table_12842068_1" WHERE "Lebanon" = "submitting_country"
| 0.098633 |
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)
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)
|
find out the number of female patients who have diagnoses icd9 code 53390.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "F" AND diagnoses.icd9_code = "53390"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "53390" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "F" = "demographic"."gender"
| 0.204102 |
CREATE TABLE table_14477 ("Year" FLOAT, "Entrant" TEXT, "Chassis" TEXT, "Engine" TEXT, "Points" TEXT)
|
What team used the toyota rvx-07 2.4 v8 engine
|
SELECT "Entrant" FROM table_14477 WHERE "Engine" = 'toyota rvx-07 2.4 v8'
|
SELECT "Entrant" FROM "table_14477" WHERE "Engine" = 'toyota rvx-07 2.4 v8'
| 0.073242 |
CREATE TABLE table_58185 ("Year" FLOAT, "Award Ceremony" TEXT, "Category" TEXT, "Nominee" TEXT, "Result" TEXT)
|
Who was nominated for best female performer?
|
SELECT "Nominee" FROM table_58185 WHERE "Category" = 'best female performer'
|
SELECT "Nominee" FROM "table_58185" WHERE "Category" = 'best female performer'
| 0.076172 |
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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name 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_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_icd_diagnoses (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 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 cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
what are the new prescriptions of patient 5828 today compared to the one received yesterday?
|
SELECT prescriptions.drug FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 5828) AND DATETIME(prescriptions.startdate, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') EXCEPT SELECT prescriptions.drug FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 5828) AND DATETIME(prescriptions.startdate, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day')
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 5828 GROUP BY "hadm_id") SELECT "prescriptions"."drug" FROM "prescriptions" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') AND NOT "_u_0"."" IS NULL EXCEPT SELECT "prescriptions"."drug" FROM "prescriptions" LEFT JOIN "_u_0" AS "_u_1" ON "_u_1"."" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') AND NOT "_u_1"."" IS NULL
| 0.629883 |
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)
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
|
A bar chart shows the distribution of ACC_Regular_Season and Team_ID , show x axis in descending order.
|
SELECT ACC_Regular_Season, Team_ID FROM basketball_match ORDER BY ACC_Regular_Season DESC
|
SELECT "ACC_Regular_Season", "Team_ID" FROM "basketball_match" ORDER BY "ACC_Regular_Season" DESC NULLS LAST
| 0.105469 |
CREATE TABLE table_78118 ("8:00" TEXT, "8:30" TEXT, "9:00" TEXT, "9:30" TEXT, "10:00" TEXT)
|
what is at 9:30 when at 8:30 it is scrubs?
|
SELECT "9:30" FROM table_78118 WHERE "8:30" = 'scrubs'
|
SELECT "9:30" FROM "table_78118" WHERE "8:30" = 'scrubs'
| 0.054688 |
CREATE TABLE table_61297 ("Rank" TEXT, "Nation" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
|
What average bronze has a total less than 1?
|
SELECT AVG("Bronze") FROM table_61297 WHERE "Total" < '1'
|
SELECT AVG("Bronze") FROM "table_61297" WHERE "Total" < '1'
| 0.057617 |
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
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 PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
|
Questions with more than 5 tags edited by Community user.
|
SELECT DISTINCT Posts.Id AS "post_link", COUNT(DISTINCT TagId) AS NumTags, PH.Comment, PH.CreationDate FROM Posts LEFT JOIN PostHistory AS PH ON PH.PostId = Posts.Id JOIN PostTags AS PT ON PT.PostId = Posts.Id WHERE Posts.PostTypeId = 1 AND PH.UserId = -1 GROUP BY Posts.Id, PH.Comment, PH.CreationDate HAVING COUNT(DISTINCT TagId) > 5 ORDER BY PH.Comment
|
SELECT DISTINCT "Posts"."Id" AS "post_link", COUNT(DISTINCT "TagId") AS "NumTags", "PH"."Comment", "PH"."CreationDate" FROM "Posts" LEFT JOIN "PostHistory" AS "PH" ON "PH"."PostId" = "Posts"."Id" JOIN "PostTags" AS "PT" ON "PT"."PostId" = "Posts"."Id" WHERE "PH"."UserId" = -1 AND "Posts"."PostTypeId" = 1 GROUP BY "Posts"."Id", "PH"."Comment", "PH"."CreationDate" HAVING COUNT(DISTINCT "TagId") > 5 ORDER BY "PH"."Comment" NULLS FIRST
| 0.424805 |
CREATE TABLE table_53919 ("Year" FLOAT, "Date" TEXT, "Winner" TEXT, "Result" TEXT, "Loser" TEXT, "Attendance" FLOAT, "Location" TEXT)
|
When did the green bay packers win at green bay with an attendance over 70,920?
|
SELECT "Date" FROM table_53919 WHERE "Location" = 'green bay' AND "Winner" = 'green bay packers' AND "Attendance" > '70,920'
|
SELECT "Date" FROM "table_53919" WHERE "Attendance" > '70,920' AND "Location" = 'green bay' AND "Winner" = 'green bay packers'
| 0.123047 |
CREATE TABLE table_1012730_1 (top_10 VARCHAR, avg_start VARCHAR)
|
How many top tens had an average start of 29.4?
|
SELECT COUNT(top_10) FROM table_1012730_1 WHERE avg_start = "29.4"
|
SELECT COUNT("top_10") FROM "table_1012730_1" WHERE "29.4" = "avg_start"
| 0.070313 |
CREATE TABLE table_70521 ("Date" TEXT, "Home captain" TEXT, "Away captain" TEXT, "Venue" TEXT, "Result" TEXT)
|
When was there a match in Centurion Park?
|
SELECT "Date" FROM table_70521 WHERE "Venue" = 'centurion park'
|
SELECT "Date" FROM "table_70521" WHERE "Venue" = 'centurion park'
| 0.063477 |
CREATE TABLE Services (Service_ID INT, Service_Type_Code CHAR)
CREATE TABLE Participants_in_Events (Event_ID INT, Participant_ID INT)
CREATE TABLE Participants (Participant_ID INT, Participant_Type_Code CHAR, Participant_Details VARCHAR)
CREATE TABLE Events (Event_ID INT, Service_ID INT, Event_Details VARCHAR)
|
A bar chart about what are the ids and details of events that have more than one participants?, and I want to show from high to low by the Y please.
|
SELECT T1.Event_Details, T1.Event_ID FROM Events AS T1 JOIN Participants_in_Events AS T2 ON T1.Event_ID = T2.Event_ID GROUP BY T1.Event_Details ORDER BY T1.Event_ID DESC
|
SELECT "T1"."Event_Details", "T1"."Event_ID" FROM "Events" AS "T1" JOIN "Participants_in_Events" AS "T2" ON "T1"."Event_ID" = "T2"."Event_ID" GROUP BY "T1"."Event_Details" ORDER BY "T1"."Event_ID" DESC NULLS LAST
| 0.207031 |
CREATE TABLE table_6080 ("Image" TEXT, "Father" TEXT, "Birth" TEXT, "Ceased to be Duchess" TEXT, "Death" TEXT, "Husband" TEXT)
|
Which image is of the woman married to william iv?
|
SELECT "Image" FROM table_6080 WHERE "Husband" = 'william iv'
|
SELECT "Image" FROM "table_6080" WHERE "Husband" = 'william iv'
| 0.061523 |
CREATE TABLE table_name_8 (date VARCHAR, high_points VARCHAR, record VARCHAR)
|
On what date did the Suns have high points with a record of 33 13?
|
SELECT date FROM table_name_8 WHERE high_points = "suns" AND record = "33–13"
|
SELECT "date" FROM "table_name_8" WHERE "33–13" = "record" AND "high_points" = "suns"
| 0.083008 |
CREATE TABLE table_70441 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Record" TEXT)
|
What is the Score on April 6?
|
SELECT "Score" FROM table_70441 WHERE "Date" = 'april 6'
|
SELECT "Score" FROM "table_70441" WHERE "Date" = 'april 6'
| 0.056641 |
CREATE TABLE table_22815568_2 (status VARCHAR, population VARCHAR)
|
How many status' are there with a population of 90565?
|
SELECT COUNT(status) FROM table_22815568_2 WHERE population = 90565
|
SELECT COUNT("status") FROM "table_22815568_2" WHERE "population" = 90565
| 0.071289 |
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime 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 intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime 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)
|
how many hours have passed since first time on this hospital encounter patient 032-24135 stayed in the ward 1068?
|
SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', patient.unitadmittime)) FROM patient WHERE patient.uniquepid = '032-24135' AND patient.wardid = 1068 AND patient.hospitaldischargetime IS NULL ORDER BY patient.unitadmittime LIMIT 1
|
SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "patient"."unitadmittime")) FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '032-24135' AND "patient"."wardid" = 1068 ORDER BY "patient"."unitadmittime" NULLS FIRST LIMIT 1
| 0.269531 |
CREATE TABLE table_204_91 (id DECIMAL, "year" DECIMAL, "original title" TEXT, "english title" TEXT, "role" TEXT, "notes" TEXT)
|
in what year was henrik malberg 's last film released ?
|
SELECT MAX("year") FROM table_204_91
|
SELECT MAX("year") FROM "table_204_91"
| 0.037109 |
CREATE TABLE table_name_48 (year VARCHAR, rank VARCHAR)
|
with rank of 31 what is the year?
|
SELECT COUNT(year) FROM table_name_48 WHERE rank = "31"
|
SELECT COUNT("year") FROM "table_name_48" WHERE "31" = "rank"
| 0.05957 |
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
|
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, draw a bar chart about the distribution of job_id and the average of employee_id , and group by attribute job_id, and sort bar in asc order.
|
SELECT JOB_ID, AVG(EMPLOYEE_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID ORDER BY JOB_ID
|
SELECT "JOB_ID", AVG("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 "JOB_ID" NULLS FIRST
| 0.250977 |
CREATE TABLE table_name_65 (record VARCHAR, date VARCHAR)
|
what's the record on july 10?
|
SELECT record FROM table_name_65 WHERE date = "july 10"
|
SELECT "record" FROM "table_name_65" WHERE "date" = "july 10"
| 0.05957 |
CREATE TABLE table_41592 ("Animal" TEXT, "Cell type" TEXT, "Resting potential ( mV ) " TEXT, "AP increase ( mV ) " TEXT, "AP duration ( ms ) " TEXT, "Conduction speed ( m/s ) " TEXT)
|
Which animal has an AP duration of 1.0 and a conduction speed of 7 30?
|
SELECT "Animal" FROM table_41592 WHERE "AP duration (ms)" = '1.0' AND "Conduction speed (m/s)" = '7–30'
|
SELECT "Animal" FROM "table_41592" WHERE "AP duration (ms)" = '1.0' AND "Conduction speed (m/s)" = '7–30'
| 0.102539 |
CREATE TABLE table_26100 ("Service" FLOAT, "Train number" FLOAT, "Train name" TEXT, "Source" TEXT, "Departure" TEXT, "Destination" TEXT, "Arrival" TEXT)
|
What's the name of the train to Madurai Junction?
|
SELECT "Train name" FROM table_26100 WHERE "Destination" = 'Madurai Junction'
|
SELECT "Train name" FROM "table_26100" WHERE "Destination" = 'Madurai Junction'
| 0.077148 |
CREATE TABLE table_203_608 (id DECIMAL, "rank" DECIMAL, "nation" TEXT, "gold" DECIMAL, "silver" DECIMAL, "bronze" DECIMAL, "total" DECIMAL)
|
how many more medals has slovakia wopn in comparison to germany ?
|
SELECT (SELECT "total" FROM table_203_608 WHERE "nation" = 'slovakia') - (SELECT "total" FROM table_203_608 WHERE "nation" = 'germany')
|
SELECT (SELECT "total" FROM "table_203_608" WHERE "nation" = 'slovakia') - (SELECT "total" FROM "table_203_608" WHERE "nation" = 'germany')
| 0.135742 |
CREATE TABLE accounts (account_id DECIMAL, statement_id DECIMAL, account_details TEXT)
CREATE TABLE documents_with_expenses (document_id DECIMAL, budget_type_code TEXT, document_details TEXT)
CREATE TABLE projects (project_id DECIMAL, project_details TEXT)
CREATE TABLE ref_budget_codes (budget_type_code TEXT, budget_type_description TEXT)
CREATE TABLE statements (statement_id DECIMAL, statement_details TEXT)
CREATE TABLE documents (document_id DECIMAL, document_type_code TEXT, project_id DECIMAL, document_date TIME, document_name TEXT, document_description TEXT, other_details TEXT)
CREATE TABLE ref_document_types (document_type_code TEXT, document_type_name TEXT, document_type_description TEXT)
|
Show ids for all documents with budget types described as 'Government'.
|
SELECT T1.document_id FROM documents_with_expenses AS T1 JOIN ref_budget_codes AS T2 ON T1.budget_type_code = T2.budget_type_code WHERE T2.budget_type_description = "Government"
|
SELECT "T1"."document_id" FROM "documents_with_expenses" AS "T1" JOIN "ref_budget_codes" AS "T2" ON "Government" = "T2"."budget_type_description" AND "T1"."budget_type_code" = "T2"."budget_type_code"
| 0.194336 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE 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)
|
how many patients whose age is less than 83 and lab test name is calculated total co2?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "83" AND lab.label = "Calculated Total CO2"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Calculated Total CO2" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "83" > "demographic"."age"
| 0.195313 |
CREATE TABLE table_name_15 (branding VARCHAR, call_sign VARCHAR)
|
What is the branding for cbxp-fm?
|
SELECT branding FROM table_name_15 WHERE call_sign = "cbxp-fm"
|
SELECT "branding" FROM "table_name_15" WHERE "call_sign" = "cbxp-fm"
| 0.066406 |
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 allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE 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 patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
|
tell me the top five most frequent specimens tested?
|
SELECT t1.culturesite FROM (SELECT microlab.culturesite, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM microlab GROUP BY microlab.culturesite) AS t1 WHERE t1.c1 <= 5
|
WITH "t1" AS (SELECT "microlab"."culturesite", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "microlab" GROUP BY "microlab"."culturesite") SELECT "t1"."culturesite" FROM "t1" AS "t1" WHERE "t1"."c1" <= 5
| 0.21875 |
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 lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE 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 cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
|
retrieve the patient identifications of patients that were diagnosed with brain herniation syndrome - central since 2104.
|
SELECT patient.uniquepid FROM patient WHERE patient.patientunitstayid IN (SELECT diagnosis.patientunitstayid FROM diagnosis WHERE diagnosis.diagnosisname = 'brain herniation syndrome - central' AND STRFTIME('%y', diagnosis.diagnosistime) >= '2104')
|
WITH "_u_0" AS (SELECT "diagnosis"."patientunitstayid" FROM "diagnosis" WHERE "diagnosis"."diagnosisname" = 'brain herniation syndrome - central' AND STRFTIME('%y', "diagnosis"."diagnosistime") >= '2104' GROUP BY "patientunitstayid") SELECT "patient"."uniquepid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patientunitstayid" WHERE NOT "_u_0"."" IS NULL
| 0.368164 |
CREATE TABLE table_28916 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" TEXT, "Result" TEXT, "Candidates" TEXT)
|
Who was the incumbent in the Kentucky 8 district?
|
SELECT "Incumbent" FROM table_28916 WHERE "District" = 'Kentucky 8'
|
SELECT "Incumbent" FROM "table_28916" WHERE "District" = 'Kentucky 8'
| 0.067383 |
CREATE TABLE table_name_50 (country VARCHAR, lead VARCHAR)
|
Which country has a Lead of sarah wazney?
|
SELECT country FROM table_name_50 WHERE lead = "sarah wazney"
|
SELECT "country" FROM "table_name_50" WHERE "lead" = "sarah wazney"
| 0.06543 |
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 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)
|
provide the number of patients whose insurance is self pay and lab test name is creatine kinase, mb isoenzyme?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.insurance = "Self Pay" AND lab.label = "Creatine Kinase, MB Isoenzyme"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Creatine Kinase, MB Isoenzyme" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "Self Pay" = "demographic"."insurance"
| 0.21582 |
CREATE TABLE table_name_58 (date VARCHAR, score VARCHAR)
|
Which Date has a Score of 112 118?
|
SELECT date FROM table_name_58 WHERE score = "112–118"
|
SELECT "date" FROM "table_name_58" WHERE "112–118" = "score"
| 0.058594 |
CREATE TABLE table_54231 ("Year" FLOAT, "Date" TEXT, "Winner" TEXT, "Result" TEXT, "Loser" TEXT, "Location" TEXT)
|
What is result of the game at Arrowhead Stadium where the loser was the Kansas City Chiefs?
|
SELECT "Result" FROM table_54231 WHERE "Location" = 'arrowhead stadium' AND "Loser" = 'kansas city chiefs'
|
SELECT "Result" FROM "table_54231" WHERE "Location" = 'arrowhead stadium' AND "Loser" = 'kansas city chiefs'
| 0.105469 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
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)
|
count the number of patients with drug code syringens who were born before 2098.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2098" AND prescriptions.formulary_drug_cd = "SYRINGENS"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "SYRINGENS" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "2098" > "demographic"."dob_year"
| 0.232422 |
CREATE TABLE table_203_391 (id DECIMAL, "season" TEXT, "greek league" TEXT, "greek cup" TEXT, "europe" TEXT, "coach" TEXT, "roster" TEXT)
|
after the 1928-29 championship , how many times was the panellinios basket named champions of the panhellenic championship ?
|
SELECT COUNT(*) FROM table_203_391 WHERE "season" > '1928-29' AND "greek league" = 'champion'
|
SELECT COUNT(*) FROM "table_203_391" WHERE "greek league" = 'champion' AND "season" > '1928-29'
| 0.092773 |
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
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 ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name 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 Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description 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 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 ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
|
Finding most high-rep users among multiple SE sites. Parametrisation is comma-separated list of database names. The DB names are coming as ou can see it from SELECT * FROM sysdatabases;
|
SELECT * FROM sysdatabases
|
SELECT * FROM "sysdatabases"
| 0.027344 |
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 the number of patients whose ethnicity is white and diagnoses icd9 code is e8799?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "WHITE" AND diagnoses.icd9_code = "E8799"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "E8799" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "WHITE" = "demographic"."ethnicity"
| 0.210938 |
CREATE TABLE table_53075 ("Building" TEXT, "Height" TEXT, "Floors" FLOAT, "Year" TEXT, "Status" TEXT)
|
For the Year 2013 what building(s) had less than 20 Floors?
|
SELECT "Building" FROM table_53075 WHERE "Year" = '2013' AND "Floors" < '20'
|
SELECT "Building" FROM "table_53075" WHERE "Floors" < '20' AND "Year" = '2013'
| 0.076172 |
CREATE TABLE table_42210 ("Outcome" TEXT, "Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Partner" TEXT, "Opponent in Final" TEXT, "Score in Final" TEXT)
|
Who was the partner of the winner?
|
SELECT "Partner" FROM table_42210 WHERE "Outcome" = 'winner'
|
SELECT "Partner" FROM "table_42210" WHERE "Outcome" = 'winner'
| 0.060547 |
CREATE TABLE table_11178271_1 (weekly_rank INT, air_date VARCHAR)
|
What is the lowest weekly rank with an air date of november 26, 2007?
|
SELECT MIN(weekly_rank) FROM table_11178271_1 WHERE air_date = "November 26, 2007"
|
SELECT MIN("weekly_rank") FROM "table_11178271_1" WHERE "November 26, 2007" = "air_date"
| 0.085938 |
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE 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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom 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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE procedures_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)
|
how many patients have been treated with pros rep atrial def-opn in a year before?
|
SELECT COUNT(DISTINCT admissions.subject_id) FROM admissions WHERE admissions.hadm_id IN (SELECT procedures_icd.hadm_id FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'pros rep atrial def-opn') AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year'))
|
WITH "_u_1" AS (SELECT "procedures_icd"."hadm_id" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'pros rep atrial def-opn' WHERE DATETIME("procedures_icd"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY "hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "admissions" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "admissions"."hadm_id" WHERE NOT "_u_1"."" IS NULL
| 0.509766 |
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 diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
what is maximum age of patients whose days of hospital stay is 11 and year of death is less than 2154?
|
SELECT MAX(demographic.age) FROM demographic WHERE demographic.days_stay = "11" AND demographic.dod_year < "2154.0"
|
SELECT MAX("demographic"."age") FROM "demographic" WHERE "11" = "demographic"."days_stay" AND "2154.0" > "demographic"."dod_year"
| 0.125977 |
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description 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 PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name 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 Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE 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 Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
|
CLEANUP: find furigana that uses curly braces.
|
SELECT p.Id AS "post_link" FROM Posts AS p WHERE p.Body LIKE '%{ - - %'
|
SELECT "p"."Id" AS "post_link" FROM "Posts" AS "p" WHERE "p"."Body" LIKE '%{ - - %'
| 0.081055 |
CREATE TABLE table_dev_61 ("id" INT, "pregnancy_or_lactation" BOOLEAN, "allergy_to_gadolinium" BOOLEAN, "renal_disease" BOOLEAN, "creatinine_clearance_cl" FLOAT, "cardiogenic_shock" BOOLEAN, "hypertension" BOOLEAN, "NOUSE" FLOAT)
|
cardiogenic shock
|
SELECT * FROM table_dev_61 WHERE cardiogenic_shock = 1
|
SELECT * FROM "table_dev_61" WHERE "cardiogenic_shock" = 1
| 0.056641 |
CREATE TABLE table_59299 ("Nat." TEXT, "Name" TEXT, "Since" TEXT, "Goals" FLOAT, "Transfer fee" TEXT, "Notes" TEXT)
|
What is the Highest Goals for Grella?
|
SELECT MAX("Goals") FROM table_59299 WHERE "Name" = 'grella'
|
SELECT MAX("Goals") FROM "table_59299" WHERE "Name" = 'grella'
| 0.060547 |
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)
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 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 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 cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
|
how many days have passed since patient 016-9636 received ns for the first time in the on the current intensive care unit 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 = '016-9636') AND patient.unitdischargetime IS NULL) AND intakeoutput.celllabel = 'ns' AND intakeoutput.cellpath LIKE '%intake%' ORDER BY intakeoutput.intakeoutputtime LIMIT 1
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '016-9636' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_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" AS "_u_1" ON "_u_1"."" = "intakeoutput"."patientunitstayid" WHERE "intakeoutput"."celllabel" = 'ns' AND "intakeoutput"."cellpath" LIKE '%intake%' AND NOT "_u_1"."" IS NULL ORDER BY "intakeoutput"."intakeoutputtime" NULLS FIRST LIMIT 1
| 0.748047 |
CREATE TABLE table_6673 ("Mission" TEXT, "Resident Country" TEXT, "Local Location" TEXT, "Local Mission" TEXT, "Local Position" TEXT)
|
What is the local mission that has none as a local location, high commissioner as a local position, fiji as a resident county, and a mission of tonga?
|
SELECT "Local Mission" FROM table_6673 WHERE "Local Location" = 'none' AND "Local Position" = 'high commissioner' AND "Resident Country" = 'fiji' AND "Mission" = 'tonga'
|
SELECT "Local Mission" FROM "table_6673" WHERE "Local Location" = 'none' AND "Local Position" = 'high commissioner' AND "Mission" = 'tonga' AND "Resident Country" = 'fiji'
| 0.166992 |
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
|
what is the dose of sodium bicarbonate that is first prescribed to patient 10811 since 05/2103?
|
SELECT prescriptions.dose_val_rx FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 10811) AND prescriptions.drug = 'sodium bicarbonate' AND STRFTIME('%y-%m', prescriptions.startdate) >= '2103-05' ORDER BY prescriptions.startdate LIMIT 1
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 10811 GROUP BY "hadm_id") SELECT "prescriptions"."dose_val_rx" FROM "prescriptions" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" = 'sodium bicarbonate' AND NOT "_u_0"."" IS NULL AND STRFTIME('%y-%m', "prescriptions"."startdate") >= '2103-05' ORDER BY "prescriptions"."startdate" NULLS FIRST LIMIT 1
| 0.4375 |
CREATE TABLE table_73364 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" FLOAT)
|
What is the production code for episode 3 of the season?
|
SELECT "Production code" FROM table_73364 WHERE "No. in season" = '3'
|
SELECT "Production code" FROM "table_73364" WHERE "No. in season" = '3'
| 0.069336 |
CREATE TABLE table_14962316_9 (copa_mercosur_1998 VARCHAR, team VARCHAR)
|
What were Cruzeiro results in the Copa Mercosur in 1998
|
SELECT copa_mercosur_1998 FROM table_14962316_9 WHERE team = "Cruzeiro"
|
SELECT "copa_mercosur_1998" FROM "table_14962316_9" WHERE "Cruzeiro" = "team"
| 0.075195 |
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category 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 jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip 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 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 ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
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 program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college 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 area (course_id INT, area VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
|
Which upper level elective classes next semester meet on days other than Fridays ?
|
SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, program_course, semester WHERE course_offering.friday = 'N' AND course.course_id = course_offering.course_id AND program_course.category LIKE '%ULCS%' AND program_course.course_id = course.course_id AND semester.semester = 'FA' AND semester.semester_id = course_offering.semester AND semester.year = 2016
|
SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" AND "course_offering"."friday" = 'N' JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%ULCS%' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'FA' AND "semester"."year" = 2016
| 0.452148 |
CREATE TABLE table_14098 ("Club" TEXT, "League/Division" TEXT, "Home Ground" TEXT, "Location" TEXT, "Position in 2012-13" TEXT)
|
When the position in 2012-23 is 4th, second division what is the club?
|
SELECT "Club" FROM table_14098 WHERE "Position in 2012-13" = '4th, second division'
|
SELECT "Club" FROM "table_14098" WHERE "Position in 2012-13" = '4th, second division'
| 0.083008 |
CREATE TABLE table_24285393_1 (highest_point VARCHAR, country_or_region VARCHAR)
|
What are the highest point in latvia
|
SELECT highest_point FROM table_24285393_1 WHERE country_or_region = "Latvia"
|
SELECT "highest_point" FROM "table_24285393_1" WHERE "Latvia" = "country_or_region"
| 0.081055 |
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 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)
|
tell me the number of patients on main drug type prescription who were diagnosed with cardiac complications, not elsewhere classified.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Surg compl-heart" AND prescriptions.drug_type = "MAIN"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Surg compl-heart" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "MAIN" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id"
| 0.296875 |
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)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
|
count the number of patients whose age is less than 77 and diagnoses long title is other psoriasis?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "77" AND diagnoses.long_title = "Other psoriasis"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Other psoriasis" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "77" > "demographic"."age"
| 0.212891 |
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime 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 d_icd_procedures (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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto 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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_diagnoses (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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
|
has patient 25869 had pco2 tests in 2105?
|
SELECT COUNT(*) > 0 FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'pco2') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 25869) AND STRFTIME('%y', labevents.charttime) = '2105'
|
WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'pco2' GROUP BY "itemid"), "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 25869 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."itemid" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "labevents"."hadm_id" WHERE NOT "_u_0"."" IS NULL AND NOT "_u_1"."" IS NULL AND STRFTIME('%y', "labevents"."charttime") = '2105'
| 0.496094 |
CREATE TABLE College (cName VARCHAR, state VARCHAR, enr DECIMAL)
CREATE TABLE Tryout (pID DECIMAL, cName VARCHAR, pPos VARCHAR, decision VARCHAR)
CREATE TABLE Player (pID DECIMAL, pName VARCHAR, yCard VARCHAR, HS DECIMAL)
|
Return a bar chart on how many students participated in tryouts for each college by descennding count?
|
SELECT cName, COUNT(*) FROM Tryout GROUP BY cName ORDER BY COUNT(*) DESC
|
SELECT "cName", COUNT(*) FROM "Tryout" GROUP BY "cName" ORDER BY COUNT(*) DESC NULLS LAST
| 0.086914 |
CREATE TABLE paper (paperid INT, title VARCHAR, venueid INT, year INT, numciting INT, numcitedby INT, journalid INT)
CREATE TABLE paperfield (fieldid INT, paperid INT)
CREATE TABLE journal (journalid INT, journalname VARCHAR)
CREATE TABLE dataset (datasetid INT, datasetname VARCHAR)
CREATE TABLE paperdataset (paperid INT, datasetid INT)
CREATE TABLE keyphrase (keyphraseid INT, keyphrasename VARCHAR)
CREATE TABLE writes (paperid INT, authorid INT)
CREATE TABLE paperkeyphrase (paperid INT, keyphraseid INT)
CREATE TABLE venue (venueid INT, venuename VARCHAR)
CREATE TABLE cite (citingpaperid INT, citedpaperid INT)
CREATE TABLE field (fieldid INT)
CREATE TABLE author (authorid INT, authorname VARCHAR)
|
Fetch me the most cited publications for Artificial Intelligence
|
SELECT DISTINCT cite.citedpaperid, COUNT(cite.citingpaperid) FROM cite, keyphrase, paper, paperkeyphrase WHERE keyphrase.keyphrasename = 'Artificial Intelligence' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = cite.citedpaperid AND paper.paperid = paperkeyphrase.paperid GROUP BY cite.citedpaperid ORDER BY COUNT(cite.citingpaperid) DESC
|
SELECT DISTINCT "cite"."citedpaperid", COUNT("cite"."citingpaperid") FROM "cite" JOIN "paper" ON "cite"."citedpaperid" = "paper"."paperid" JOIN "paperkeyphrase" ON "paper"."paperid" = "paperkeyphrase"."paperid" JOIN "keyphrase" ON "keyphrase"."keyphraseid" = "paperkeyphrase"."keyphraseid" AND "keyphrase"."keyphrasename" = 'Artificial Intelligence' GROUP BY "cite"."citedpaperid" ORDER BY COUNT("cite"."citingpaperid") DESC NULLS LAST
| 0.424805 |
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