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CREATE TABLE body_builder (Body_Builder_ID INT, People_ID INT, Snatch FLOAT, Clean_Jerk FLOAT, Total FLOAT)
CREATE TABLE people (People_ID INT, Name TEXT, Height FLOAT, Weight FLOAT, Birth_Date TEXT, Birth_Place TEXT)
|
Show me about the correlation between Body_Builder_ID and Snatch in a scatter chart.
|
SELECT Body_Builder_ID, Snatch FROM body_builder
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SELECT "Body_Builder_ID", "Snatch" FROM "body_builder"
| 0.052734 |
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE 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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom 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 transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name 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_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 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)
|
when was the last time patient 25796 had been prescribed neo*po*chlorothiazide and cytarabine at the same time until 43 months ago?
|
SELECT t1.startdate FROM (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'neo*po*chlorothiazide' AND admissions.subject_id = 25796 AND DATETIME(prescriptions.startdate) <= DATETIME(CURRENT_TIME(), '-43 month')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE prescriptions.drug = 'cytarabine' AND admissions.subject_id = 25796 AND DATETIME(prescriptions.startdate) <= DATETIME(CURRENT_TIME(), '-43 month')) AS t2 ON t1.subject_id = t2.subject_id WHERE DATETIME(t1.startdate) = DATETIME(t2.startdate) ORDER BY t1.startdate DESC LIMIT 1
|
WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" AND "admissions"."subject_id" = 25796 WHERE "prescriptions"."drug" = 'cytarabine' AND DATETIME("prescriptions"."startdate") <= DATETIME(CURRENT_TIME(), '-43 month')) SELECT "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" AND "admissions"."subject_id" = 25796 JOIN "t2" AS "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND DATETIME("prescriptions"."startdate") = DATETIME("t2"."startdate") WHERE "prescriptions"."drug" = 'neo*po*chlorothiazide' AND DATETIME("prescriptions"."startdate") <= DATETIME(CURRENT_TIME(), '-43 month') ORDER BY "prescriptions"."startdate" DESC NULLS LAST LIMIT 1
| 0.817383 |
CREATE TABLE table_1915 ("Township" TEXT, "County" TEXT, "Pop. ( 2010 ) " FLOAT, "Land ( sqmi ) " TEXT, "Water ( sqmi ) " TEXT, "Latitude" TEXT, "Longitude" TEXT, "GEO ID" FLOAT, "ANSI code" FLOAT)
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what is the latitude in the township where wate is 0.288
|
SELECT "Latitude" FROM table_1915 WHERE "Water (sqmi)" = '0.288'
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SELECT "Latitude" FROM "table_1915" WHERE "Water (sqmi)" = '0.288'
| 0.064453 |
CREATE TABLE Movie (mID INT, title TEXT, year INT, director TEXT)
CREATE TABLE Reviewer (rID INT, name TEXT)
CREATE TABLE Rating (rID INT, mID INT, stars INT, ratingDate DATE)
|
What are the titles of all movies that have rating star is between 3 and 5, and count them by a bar chart, and could you display by the y axis in descending?
|
SELECT title, COUNT(title) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID WHERE T1.stars BETWEEN 3 AND 5 GROUP BY title ORDER BY COUNT(title) DESC
|
SELECT "title", COUNT("title") FROM "Rating" AS "T1" JOIN "Movie" AS "T2" ON "T1"."mID" = "T2"."mID" WHERE "T1"."stars" <= 5 AND "T1"."stars" >= 3 GROUP BY "title" ORDER BY COUNT("title") DESC NULLS LAST
| 0.198242 |
CREATE TABLE actor (Actor_ID INT, Name TEXT, Musical_ID INT, Character TEXT, Duration TEXT, age INT)
CREATE TABLE musical (Musical_ID INT, Name TEXT, Year INT, Award TEXT, Category TEXT, Nominee TEXT, Result TEXT)
|
Give me a histogram for how many musicals has each nominee been nominated for?, sort by the Y-axis in desc please.
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SELECT Nominee, COUNT(*) FROM musical GROUP BY Nominee ORDER BY COUNT(*) DESC
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SELECT "Nominee", COUNT(*) FROM "musical" GROUP BY "Nominee" ORDER BY COUNT(*) DESC NULLS LAST
| 0.091797 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
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 diagnoses short title is mrsa septicemia and lab test category is blood gas?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "MRSA septicemia" AND lab."CATEGORY" = "Blood Gas"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "MRSA septicemia" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Blood Gas" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id"
| 0.270508 |
CREATE TABLE table_32205 ("Player" TEXT, "Nationality" TEXT, "Position" TEXT, "From" FLOAT, "School/Country" TEXT)
|
What is the position of the player from Temple?
|
SELECT "Position" FROM table_32205 WHERE "School/Country" = 'temple'
|
SELECT "Position" FROM "table_32205" WHERE "School/Country" = 'temple'
| 0.068359 |
CREATE TABLE table_name_61 (result VARCHAR, attendance VARCHAR)
|
What is the result of the game with 77,698 in attendance?
|
SELECT result FROM table_name_61 WHERE attendance = "77,698"
|
SELECT "result" FROM "table_name_61" WHERE "77,698" = "attendance"
| 0.064453 |
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 countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
|
For those employees who was hired before 2002-06-21, visualize the relationship between employee_id and manager_id .
|
SELECT EMPLOYEE_ID, MANAGER_ID FROM employees WHERE HIRE_DATE < '2002-06-21'
|
SELECT "EMPLOYEE_ID", "MANAGER_ID" FROM "employees" WHERE "HIRE_DATE" < '2002-06-21'
| 0.082031 |
CREATE TABLE table_17190012_7 (high_rebounds VARCHAR, score VARCHAR)
|
who did highest rebounds in the game with score w 105 88 (ot)
|
SELECT high_rebounds FROM table_17190012_7 WHERE score = "W 105–88 (OT)"
|
SELECT "high_rebounds" FROM "table_17190012_7" WHERE "W 105–88 (OT)" = "score"
| 0.076172 |
CREATE TABLE table_22883210_7 (score VARCHAR, date VARCHAR)
|
What was the total score for january 18?
|
SELECT COUNT(score) FROM table_22883210_7 WHERE date = "January 18"
|
SELECT COUNT("score") FROM "table_22883210_7" WHERE "January 18" = "date"
| 0.071289 |
CREATE TABLE table_name_32 (result VARCHAR, year VARCHAR, award VARCHAR)
|
Which Result has a Year larger than 2003, and an Award of best supporting actress?
|
SELECT result FROM table_name_32 WHERE year > 2003 AND award = "best supporting actress"
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SELECT "result" FROM "table_name_32" WHERE "award" = "best supporting actress" AND "year" > 2003
| 0.09375 |
CREATE TABLE table_49788 ("Tournament" TEXT, "2008" TEXT, "2010" TEXT, "2011" TEXT, "2012" TEXT, "2013" TEXT)
|
What shows for 2013 when the 2008 is 1r?
|
SELECT "2013" FROM table_49788 WHERE "2008" = '1r'
|
SELECT "2013" FROM "table_49788" WHERE "2008" = '1r'
| 0.050781 |
CREATE TABLE ENROLL (CLASS_CODE VARCHAR, STU_NUM INT, ENROLL_GRADE VARCHAR)
CREATE TABLE CLASS (CLASS_CODE VARCHAR, CRS_CODE VARCHAR, CLASS_SECTION VARCHAR, CLASS_TIME VARCHAR, CLASS_ROOM VARCHAR, PROF_NUM INT)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR, DEPT_NAME VARCHAR, SCHOOL_CODE VARCHAR, EMP_NUM INT, DEPT_ADDRESS VARCHAR, DEPT_EXTENSION VARCHAR)
CREATE TABLE STUDENT (STU_NUM INT, STU_LNAME VARCHAR, STU_FNAME VARCHAR, STU_INIT VARCHAR, STU_DOB DATETIME, STU_HRS INT, STU_CLASS VARCHAR, STU_GPA FLOAT, STU_TRANSFER DECIMAL, DEPT_CODE VARCHAR, STU_PHONE VARCHAR, PROF_NUM INT)
CREATE TABLE COURSE (CRS_CODE VARCHAR, DEPT_CODE VARCHAR, CRS_DESCRIPTION VARCHAR, CRS_CREDIT FLOAT)
CREATE TABLE PROFESSOR (EMP_NUM INT, DEPT_CODE VARCHAR, PROF_OFFICE VARCHAR, PROF_EXTENSION VARCHAR, PROF_HIGH_DEGREE VARCHAR)
CREATE TABLE EMPLOYEE (EMP_NUM INT, EMP_LNAME VARCHAR, EMP_FNAME VARCHAR, EMP_INITIAL VARCHAR, EMP_JOBCODE VARCHAR, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
|
A pie chart about what is the total credit does each department offer?
|
SELECT DEPT_CODE, SUM(CRS_CREDIT) FROM COURSE GROUP BY DEPT_CODE
|
SELECT "DEPT_CODE", SUM("CRS_CREDIT") FROM "COURSE" GROUP BY "DEPT_CODE"
| 0.070313 |
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
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 all employees who have the letters D or S in their first name, find hire_date and the amount of hire_date bin hire_date by weekday, and visualize them by a bar chart, and could you show in descending by the how many hire date?
|
SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY COUNT(HIRE_DATE) DESC
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SELECT "HIRE_DATE", COUNT("HIRE_DATE") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY COUNT("HIRE_DATE") DESC NULLS LAST
| 0.152344 |
CREATE TABLE table_204_722 (id DECIMAL, "season" TEXT, "series" TEXT, "team" TEXT, "races" DECIMAL, "wins" DECIMAL, "poles" DECIMAL, "f/lap" DECIMAL, "podiums" DECIMAL, "points" DECIMAL, "position" TEXT)
|
how many teams came in 3rd ?
|
SELECT COUNT("team") FROM table_204_722 WHERE "position" = 3
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SELECT COUNT("team") FROM "table_204_722" WHERE "position" = 3
| 0.060547 |
CREATE TABLE table_13389 ("2002/ 03" TEXT, "2003/ 04" TEXT, "2004/ 05" TEXT, "2005/ 06" TEXT, "2006/ 07" TEXT, "2007/ 08" TEXT, "2008/ 09" TEXT, "2009/ 10" TEXT, "2010/ 11" TEXT, "2011/ 12" TEXT, "2012/ 13" TEXT)
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what is 2005/06 when 2007/08 is a, 2002/03 is lq and 2011/12 is a?
|
SELECT "2005/ 06" FROM table_13389 WHERE "2007/ 08" = 'a' AND "2002/ 03" = 'lq' AND "2011/ 12" = 'a'
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SELECT "2005/ 06" FROM "table_13389" WHERE "2002/ 03" = 'lq' AND "2007/ 08" = 'a' AND "2011/ 12" = 'a'
| 0.099609 |
CREATE TABLE table_name_24 (losses INT, wins VARCHAR, against VARCHAR, wimmera_fl VARCHAR)
|
What's the least losses for Horsham Saints with more than 13 wins and less than 1211 against?
|
SELECT MIN(losses) FROM table_name_24 WHERE against < 1211 AND wimmera_fl = "horsham saints" AND wins > 13
|
SELECT MIN("losses") FROM "table_name_24" WHERE "against" < 1211 AND "horsham saints" = "wimmera_fl" AND "wins" > 13
| 0.113281 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
what is minimum days of hospital stay of patients whose year of death is less than 2173?
|
SELECT MIN(demographic.days_stay) FROM demographic WHERE demographic.dod_year < "2173.0"
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SELECT MIN("demographic"."days_stay") FROM "demographic" WHERE "2173.0" > "demographic"."dod_year"
| 0.095703 |
CREATE TABLE table_20015 ("Region" TEXT, "Start datum" TEXT, "Target datum" TEXT, "c_x ( Metre ) " TEXT, "c_y ( Metre ) " TEXT, "c_z ( Metre ) " TEXT, "s ( ppm ) " TEXT, "r x ( Arcsecond ) " TEXT, "r y ( Arcsecond ) " TEXT, "r z ( Arcsecond ) " TEXT)
|
How many values of r z (arcsecond) correspond with a r y (arcsecond) value of 0.247?
|
SELECT "r z ( Arcsecond )" FROM table_20015 WHERE "r y ( Arcsecond )" = '−0.247'
|
SELECT "r z ( Arcsecond )" FROM "table_20015" WHERE "r y ( Arcsecond )" = '−0.247'
| 0.080078 |
CREATE TABLE table_20714 ("Institution" TEXT, "Location" TEXT, "Team Nickname" TEXT, "Joined TSCHL" FLOAT, "Home Arena" TEXT, "Capacity" FLOAT, "Team Website" TEXT)
|
Which city has the team nickname bearcats?
|
SELECT "Location" FROM table_20714 WHERE "Team Nickname" = 'Bearcats'
|
SELECT "Location" FROM "table_20714" WHERE "Team Nickname" = 'Bearcats'
| 0.069336 |
CREATE TABLE table_20739 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Ground" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
What did the home team score against Richmond?
|
SELECT "Home team score" FROM table_20739 WHERE "Away team" = 'Richmond'
|
SELECT "Home team score" FROM "table_20739" WHERE "Away team" = 'Richmond'
| 0.072266 |
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 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 lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
|
Count the number of medicaid patients who have pneumonia as their primary disease.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.insurance = "Medicaid" AND demographic.diagnosis = "PNEUMONIA"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "Medicaid" = "demographic"."insurance" AND "PNEUMONIA" = "demographic"."diagnosis"
| 0.15332 |
CREATE TABLE table_18461045_1 (indiana VARCHAR, michigan VARCHAR)
|
What was the little league team from Indiana when the little league team from Michigan was Midland Northeast LL Midland?
|
SELECT indiana FROM table_18461045_1 WHERE michigan = "Midland Northeast LL Midland"
|
SELECT "indiana" FROM "table_18461045_1" WHERE "Midland Northeast LL Midland" = "michigan"
| 0.087891 |
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress 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 PostHistoryTypes (Id DECIMAL, Name 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 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 FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE 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 PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId 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 TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
|
Off Topic Posts By tag with minimum question count.
|
SELECT t.TagName, COUNT(pt.PostId) AS TagQuestionCount, COUNT(ph.PostId) AS OffTopicCount, CASE COUNT(ph.PostId) WHEN 0 THEN NULL ELSE CAST(COUNT(ph.PostId) AS FLOAT) / CAST(COUNT(pt.PostId) AS FLOAT) * 100 END AS ratioClosedOffTopic FROM PostTags AS pt INNER JOIN Tags AS t ON pt.TagId = t.Id LEFT JOIN PostHistory AS ph ON ph.PostId = pt.PostId AND ph.PostHistoryTypeId = 10 AND CAST(ph.Comment AS INT) = 2 GROUP BY t.TagName HAVING COUNT(pt.PostId) > @MinQuestioncount ORDER BY CASE COUNT(ph.PostId) WHEN 0 THEN NULL ELSE CAST(COUNT(ph.PostId) AS FLOAT) / CAST(COUNT(pt.PostId) AS FLOAT) END DESC
|
SELECT "t"."TagName", COUNT("pt"."PostId") AS "TagQuestionCount", COUNT("ph"."PostId") AS "OffTopicCount", CASE WHEN COUNT("ph"."PostId") = 0 THEN NULL ELSE CAST(COUNT("ph"."PostId") AS FLOAT) / NULLIF(CAST(COUNT("pt"."PostId") AS FLOAT), 0) * 100 END AS "ratioClosedOffTopic" FROM "PostTags" AS "pt" LEFT JOIN "PostHistory" AS "ph" ON "ph"."PostHistoryTypeId" = 10 AND "ph"."PostId" = "pt"."PostId" AND CAST("ph"."Comment" AS INT) = 2 JOIN "Tags" AS "t" ON "pt"."TagId" = "t"."Id" GROUP BY "t"."TagName" HAVING COUNT("pt"."PostId") > $MinQuestioncount ORDER BY CASE WHEN COUNT("ph"."PostId") = 0 THEN NULL ELSE CAST(COUNT("ph"."PostId") AS FLOAT) / NULLIF(CAST(COUNT("pt"."PostId") AS FLOAT), 0) END DESC NULLS LAST
| 0.699219 |
CREATE TABLE table_name_23 (squad_no INT, goals VARCHAR, points VARCHAR, player VARCHAR)
|
What is the total number of squad no when there are more than 8 points, Danny Mcguire is a player, and there are more than 0 goals?
|
SELECT SUM(squad_no) FROM table_name_23 WHERE points > 8 AND player = "danny mcguire" AND goals > 0
|
SELECT SUM("squad_no") FROM "table_name_23" WHERE "danny mcguire" = "player" AND "goals" > 0 AND "points" > 8
| 0.106445 |
CREATE TABLE table_54872 ("Party" TEXT, "Results 2004" TEXT, "Ifop 11/12/08" TEXT, "Ifop 1/9/09" TEXT, "Ipsos 3/14/09" TEXT, "CSA 4/16/09" TEXT, "OpinionWay 4/17/09" TEXT, "Ifop 4/24/09" TEXT, "Ipsos 5/2/09" TEXT, "Ifop 5/11/09" TEXT, "OpinionWay 5/11/09" TEXT)
|
Name the csa 4/16/09 for opinionway being 4/17/09 of 12%
|
SELECT "CSA 4/16/09" FROM table_54872 WHERE "OpinionWay 4/17/09" = '12%'
|
SELECT "CSA 4/16/09" FROM "table_54872" WHERE "OpinionWay 4/17/09" = '12%'
| 0.072266 |
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 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 transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE 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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_procedures (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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_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)
|
when patient 85895 received a microbiology test for a urine for the last time during a month before?
|
SELECT microbiologyevents.charttime FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 85895) AND microbiologyevents.spec_type_desc = 'urine' AND DATETIME(microbiologyevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') ORDER BY microbiologyevents.charttime DESC LIMIT 1
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 85895 GROUP BY "hadm_id") SELECT "microbiologyevents"."charttime" FROM "microbiologyevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "microbiologyevents"."hadm_id" WHERE "microbiologyevents"."spec_type_desc" = 'urine' AND DATETIME("microbiologyevents"."charttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT "_u_0"."" IS NULL ORDER BY "microbiologyevents"."charttime" DESC NULLS LAST LIMIT 1
| 0.517578 |
CREATE TABLE table_24099 ("Game" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Bruins points" FLOAT, "Opponents" FLOAT, "Record" TEXT)
|
Santa Clara was played how many times?
|
SELECT "Opponents" FROM table_24099 WHERE "Opponent" = 'Santa Clara'
|
SELECT "Opponents" FROM "table_24099" WHERE "Opponent" = 'Santa Clara'
| 0.068359 |
CREATE TABLE table_27116 ("Afghan" TEXT, "Albanian" TEXT, "Arabic" TEXT, "Bangladeshi" TEXT, "Bosnian" TEXT, "Chinese" TEXT, "Colombian" TEXT, "Cook Islands" TEXT)
|
how many afghan in banglash is hungarian
|
SELECT "Afghan" FROM table_27116 WHERE "Bangladeshi" = 'Hungarian'
|
SELECT "Afghan" FROM "table_27116" WHERE "Bangladeshi" = 'Hungarian'
| 0.066406 |
CREATE TABLE table_2468961_8 (written_by VARCHAR, directed_by VARCHAR, original_air_date VARCHAR)
|
Name who wrote the episode directed by patrick duffy airing on november 7, 1997
|
SELECT written_by FROM table_2468961_8 WHERE directed_by = "Patrick Duffy" AND original_air_date = "November 7, 1997"
|
SELECT "written_by" FROM "table_2468961_8" WHERE "November 7, 1997" = "original_air_date" AND "Patrick Duffy" = "directed_by"
| 0.12207 |
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 patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE 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 lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
|
list the ids of patients who have been diagnosed with dka until 2104.
|
SELECT patient.uniquepid FROM patient WHERE patient.patientunitstayid IN (SELECT diagnosis.patientunitstayid FROM diagnosis WHERE diagnosis.diagnosisname = 'dka' AND STRFTIME('%y', diagnosis.diagnosistime) <= '2104')
|
WITH "_u_0" AS (SELECT "diagnosis"."patientunitstayid" FROM "diagnosis" WHERE "diagnosis"."diagnosisname" = 'dka' 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
| 0.336914 |
CREATE TABLE table_73516 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
|
Where was the game in which Kevin Durant (25) did the most high points played?
|
SELECT "Location Attendance" FROM table_73516 WHERE "High points" = 'Kevin Durant (25)'
|
SELECT "Location Attendance" FROM "table_73516" WHERE "High points" = 'Kevin Durant (25)'
| 0.086914 |
CREATE TABLE table_49447 ("Round" FLOAT, "Pick" FLOAT, "Player" TEXT, "Nationality" TEXT, "School/Club Team" TEXT)
|
What is the pick with Dean Sears and round larger than 6?
|
SELECT MIN("Pick") FROM table_49447 WHERE "Round" > '6' AND "Player" = 'dean sears'
|
SELECT MIN("Pick") FROM "table_49447" WHERE "Player" = 'dean sears' AND "Round" > '6'
| 0.083008 |
CREATE TABLE table_55445 ("Name" TEXT, "Latitude" FLOAT, "Longitude" FLOAT, "Diameter ( km ) " FLOAT, "Named after" TEXT)
|
What in Xenia's Diameter in km, with a latitude of 14 and a longitude of 249.4?
|
SELECT COUNT("Diameter (km)") FROM table_55445 WHERE "Latitude" < '14' AND "Name" = 'xenia' AND "Longitude" > '249.4'
|
SELECT COUNT("Diameter (km)") FROM "table_55445" WHERE "Latitude" < '14' AND "Longitude" > '249.4' AND "Name" = 'xenia'
| 0.116211 |
CREATE TABLE table_73121 ("Group 7" TEXT, "Group 8" TEXT, "Group 9" TEXT, "Group 10" TEXT, "Group 11" TEXT, "Group 12" TEXT)
|
Nusa Ina only played once while group 7 played.
|
SELECT COUNT("Group 7") FROM table_73121 WHERE "Group 12" = 'Nusa Ina'
|
SELECT COUNT("Group 7") FROM "table_73121" WHERE "Group 12" = 'Nusa Ina'
| 0.070313 |
CREATE TABLE table_32216 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
Who is the away team at Windy Hill?
|
SELECT "Away team" FROM table_32216 WHERE "Venue" = 'windy hill'
|
SELECT "Away team" FROM "table_32216" WHERE "Venue" = 'windy hill'
| 0.064453 |
CREATE TABLE table_name_51 (tournament VARCHAR)
|
Which 2009 tournament was french open?
|
SELECT 2009 FROM table_name_51 WHERE tournament = "french open"
|
SELECT 2009 FROM "table_name_51" WHERE "french open" = "tournament"
| 0.06543 |
CREATE TABLE table_49171 ("Round" FLOAT, "Pick" FLOAT, "Player" TEXT, "Position" TEXT, "School/Club Team" TEXT)
|
What pick was J.D. Hill?
|
SELECT MIN("Pick") FROM table_49171 WHERE "Player" = 'j.d. hill'
|
SELECT MIN("Pick") FROM "table_49171" WHERE "Player" = 'j.d. hill'
| 0.064453 |
CREATE TABLE table_255812_1 (city___municipality VARCHAR, mayor VARCHAR)
|
What are all the metropolis / municipality where mayor is helen c. De castro
|
SELECT city___municipality FROM table_255812_1 WHERE mayor = "Helen C. De Castro"
|
SELECT "city___municipality" FROM "table_255812_1" WHERE "Helen C. De Castro" = "mayor"
| 0.084961 |
CREATE TABLE table_name_12 (score VARCHAR, home VARCHAR, date VARCHAR)
|
What's the Score with a Home of Scotland and Date of 24 February?
|
SELECT score FROM table_name_12 WHERE home = "scotland" AND date = "24 february"
|
SELECT "score" FROM "table_name_12" WHERE "24 february" = "date" AND "home" = "scotland"
| 0.085938 |
CREATE TABLE table_name_67 (constructor VARCHAR, time_retired VARCHAR)
|
Who constructed the car that has a Time/Retired of +2:06.0?
|
SELECT constructor FROM table_name_67 WHERE time_retired = "+2:06.0"
|
SELECT "constructor" FROM "table_name_67" WHERE "+2:06.0" = "time_retired"
| 0.072266 |
CREATE TABLE enrollments (campus DECIMAL, year DECIMAL, totalenrollment_ay DECIMAL, fte_ay DECIMAL)
CREATE TABLE campuses (id DECIMAL, campus TEXT, location TEXT, county TEXT, year DECIMAL)
CREATE TABLE faculty (campus DECIMAL, year DECIMAL, faculty DECIMAL)
CREATE TABLE degrees (year DECIMAL, campus DECIMAL, degrees DECIMAL)
CREATE TABLE discipline_enrollments (campus DECIMAL, discipline DECIMAL, year DECIMAL, undergraduate DECIMAL, graduate DECIMAL)
CREATE TABLE csu_fees (campus DECIMAL, year DECIMAL, campusfee DECIMAL)
|
Report the name of all campuses in Los Angeles county.
|
SELECT campus FROM campuses WHERE county = "Los Angeles"
|
SELECT "campus" FROM "campuses" WHERE "Los Angeles" = "county"
| 0.060547 |
CREATE TABLE table_name_43 (years VARCHAR, jersey_number_s_ VARCHAR)
|
What is Years, when Jersey Number(s) is 5?
|
SELECT years FROM table_name_43 WHERE jersey_number_s_ = "5"
|
SELECT "years" FROM "table_name_43" WHERE "5" = "jersey_number_s_"
| 0.064453 |
CREATE TABLE table_14937 ("Heat" FLOAT, "Lane" FLOAT, "Name" TEXT, "Nationality" TEXT, "Time" TEXT)
|
Who was from Great Britain in lane 5?
|
SELECT "Name" FROM table_14937 WHERE "Nationality" = 'great britain' AND "Lane" = '5'
|
SELECT "Name" FROM "table_14937" WHERE "Lane" = '5' AND "Nationality" = 'great britain'
| 0.084961 |
CREATE TABLE table_51096 ("Player" TEXT, "Country" TEXT, "Year ( s ) won" TEXT, "Total" FLOAT, "To par" TEXT, "Finish" TEXT)
|
What finish has +21 as the to par?
|
SELECT "Finish" FROM table_51096 WHERE "To par" = '+21'
|
SELECT "Finish" FROM "table_51096" WHERE "To par" = '+21'
| 0.055664 |
CREATE TABLE table_17920 ("Position" FLOAT, "Club" TEXT, "Played" FLOAT, "Won" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Pts For" FLOAT, "Pts Agst" FLOAT, "B.P." FLOAT, "Points" FLOAT)
|
What is the number of played when points against 645?
|
SELECT COUNT("Played") FROM table_17920 WHERE "Pts Agst" = '645'
|
SELECT COUNT("Played") FROM "table_17920" WHERE "Pts Agst" = '645'
| 0.064453 |
CREATE TABLE table_1872 ("Team" TEXT, "Location" TEXT, "County" TEXT, "Division" TEXT, "Home ground" TEXT, "Coach" TEXT, "Captain" TEXT)
|
Who is the captain of the team in Essex county?
|
SELECT "Captain" FROM table_1872 WHERE "County" = 'Essex'
|
SELECT "Captain" FROM "table_1872" WHERE "County" = 'Essex'
| 0.057617 |
CREATE TABLE table_name_24 (date VARCHAR, circuit VARCHAR)
|
What date was the Tigullio Circuit?
|
SELECT date FROM table_name_24 WHERE circuit = "tigullio"
|
SELECT "date" FROM "table_name_24" WHERE "circuit" = "tigullio"
| 0.061523 |
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
|
i would like to see the flights from BALTIMORE to PHILADELPHIA again
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BALTIMORE' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPHIA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
|
SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BALTIMORE' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'PHILADELPHIA'
| 0.500977 |
CREATE TABLE table_21094951_1 (black_knights_points INT, result VARCHAR)
|
Name the black knights points for loss result
|
SELECT MAX(black_knights_points) FROM table_21094951_1 WHERE result = "Loss"
|
SELECT MAX("black_knights_points") FROM "table_21094951_1" WHERE "Loss" = "result"
| 0.080078 |
CREATE TABLE table_name_83 (opponent VARCHAR, loss VARCHAR)
|
Who did they play when dickey (0-1) recorded the loss?
|
SELECT opponent FROM table_name_83 WHERE loss = "dickey (0-1)"
|
SELECT "opponent" FROM "table_name_83" WHERE "dickey (0-1)" = "loss"
| 0.066406 |
CREATE TABLE table_58059 ("Species" TEXT, "Strain" TEXT, "Type" TEXT, "Base Pairs" TEXT, "Genes" TEXT)
|
How many genes are in species burkholderia pseudomallei with 4,126,292 base pairs?
|
SELECT "Genes" FROM table_58059 WHERE "Species" = 'burkholderia pseudomallei' AND "Base Pairs" = '4,126,292'
|
SELECT "Genes" FROM "table_58059" WHERE "Base Pairs" = '4,126,292' AND "Species" = 'burkholderia pseudomallei'
| 0.107422 |
CREATE TABLE table_7431 ("Rank" FLOAT, "Name" TEXT, "Team" TEXT, "Games" FLOAT, "Points" FLOAT)
|
How many Games has a Team of cai zaragoza and a Rank smaller than 1?
|
SELECT SUM("Games") FROM table_7431 WHERE "Team" = 'cai zaragoza' AND "Rank" < '1'
|
SELECT SUM("Games") FROM "table_7431" WHERE "Rank" < '1' AND "Team" = 'cai zaragoza'
| 0.082031 |
CREATE TABLE table_26254 ("Year" TEXT, "District-wide" FLOAT, "High schools" FLOAT, "Middle schools" FLOAT, "Elementary schools" FLOAT, "Other programs & adjustments" FLOAT)
|
Name the total number of elementary schools for 31851
|
SELECT COUNT("Elementary schools") FROM table_26254 WHERE "District-wide" = '31851'
|
SELECT COUNT("Elementary schools") FROM "table_26254" WHERE "District-wide" = '31851'
| 0.083008 |
CREATE TABLE table_8246 ("Tie no" TEXT, "Home team" TEXT, "Score" TEXT, "Away team" TEXT, "Attendance" TEXT)
|
What is the attendance of tie no. 23?
|
SELECT "Attendance" FROM table_8246 WHERE "Tie no" = '23'
|
SELECT "Attendance" FROM "table_8246" WHERE "Tie no" = '23'
| 0.057617 |
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)
|
what is the maximum age of patients whose marital status is divorced and admission type is emergency?
|
SELECT MAX(demographic.age) FROM demographic WHERE demographic.marital_status = "DIVORCED" AND demographic.admission_type = "EMERGENCY"
|
SELECT MAX("demographic"."age") FROM "demographic" WHERE "DIVORCED" = "demographic"."marital_status" AND "EMERGENCY" = "demographic"."admission_type"
| 0.145508 |
CREATE TABLE table_70151 ("Surface" TEXT, "Event" TEXT, "Time ( h : m : s ) " TEXT, "Date" TEXT, "Place" TEXT)
|
When has a surface of road and an event of half marathon?
|
SELECT "Date" FROM table_70151 WHERE "Surface" = 'road' AND "Event" = 'half marathon'
|
SELECT "Date" FROM "table_70151" WHERE "Event" = 'half marathon' AND "Surface" = 'road'
| 0.084961 |
CREATE TABLE Assets (Asset_ID INT, Other_Details VARCHAR)
CREATE TABLE Finances (Finance_ID INT, Other_Details VARCHAR)
CREATE TABLE Assets_in_Events (Asset_ID INT, Event_ID INT)
CREATE TABLE Agreements (Document_ID INT, Event_ID INT)
CREATE TABLE Parties_in_Events (Party_ID INT, Event_ID INT, Role_Code CHAR)
CREATE TABLE Parties (Party_ID INT, Party_Details VARCHAR)
CREATE TABLE Products (Product_ID INT, Product_Type_Code CHAR, Product_Name VARCHAR, Product_Price DECIMAL)
CREATE TABLE Channels (Channel_ID INT, Other_Details VARCHAR)
CREATE TABLE Locations (Location_ID INT, Other_Details VARCHAR)
CREATE TABLE Addresses (Address_ID INT, address_details VARCHAR)
CREATE TABLE Products_in_Events (Product_in_Event_ID INT, Event_ID INT, Product_ID INT)
CREATE TABLE Events (Event_ID INT, Address_ID INT, Channel_ID INT, Event_Type_Code CHAR, Finance_ID INT, Location_ID INT)
|
Show different type codes of products and the number of products with each type code Visualize by bar chart, and I want to display in descending by the X.
|
SELECT Product_Type_Code, COUNT(*) FROM Products GROUP BY Product_Type_Code ORDER BY Product_Type_Code DESC
|
SELECT "Product_Type_Code", COUNT(*) FROM "Products" GROUP BY "Product_Type_Code" ORDER BY "Product_Type_Code" DESC NULLS LAST
| 0.123047 |
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 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 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 PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE CloseReasonTypes (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 ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
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 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 PostTypes (Id DECIMAL, Name TEXT)
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 TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
|
Linux distribution trends (# of Questions per Month).
|
SELECT DATEADD(mm, (YEAR(Posts.CreationDate) - 1900) * 12 + MONTH(Posts.CreationDate) - 1, 0) AS Month, Tags.TagName, COUNT(*) AS Questions FROM Tags LEFT JOIN PostTags ON PostTags.TagId = Tags.Id LEFT JOIN Posts ON Posts.Id = PostTags.PostId LEFT JOIN PostTypes ON PostTypes.Id = Posts.PostTypeId WHERE Tags.TagName IN ('ubuntu', 'debian', 'centos', 'fedora', 'archlinux', 'mint', 'gentoo', 'opensuse') AND PostTypes.Name = 'Question' AND Posts.CreationDate < DATEADD(month, DATEDIFF(month, 0, GETDATE()), 0) GROUP BY YEAR(Posts.CreationDate), MONTH(Posts.CreationDate), Tags.TagName ORDER BY YEAR(Posts.CreationDate), MONTH(Posts.CreationDate), Tags.TagName
|
SELECT DATEADD(MONTH, (YEAR("Posts"."CreationDate") - 1900) * 12 + MONTH("Posts"."CreationDate") - 1, 0) AS "Month", "Tags"."TagName", COUNT(*) AS "Questions" FROM "Tags" LEFT JOIN "PostTags" ON "PostTags"."TagId" = "Tags"."Id" LEFT JOIN "Posts" ON "PostTags"."PostId" = "Posts"."Id" LEFT JOIN "PostTypes" ON "PostTypes"."Id" = "Posts"."PostTypeId" WHERE "PostTypes"."Name" = 'Question' AND "Posts"."CreationDate" < DATEADD(MONTH, DATEDIFF(DAY, CAST(0 AS DATETIME), CAST("month" AS DATETIME)), 0) AND "Tags"."TagName" IN ('ubuntu', 'debian', 'centos', 'fedora', 'archlinux', 'mint', 'gentoo', 'opensuse') GROUP BY YEAR("Posts"."CreationDate"), MONTH("Posts"."CreationDate"), "Tags"."TagName" ORDER BY YEAR("Posts"."CreationDate") NULLS FIRST, MONTH("Posts"."CreationDate") NULLS FIRST, "Tags"."TagName" NULLS FIRST
| 0.794922 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
count the number of patients whose age is less than 67 and days of hospital stay is greater than 34?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.age < "67" AND demographic.days_stay > "34"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "34" < "demographic"."days_stay" AND "67" > "demographic"."age"
| 0.134766 |
CREATE TABLE table_71769 ("Tournament" TEXT, "Wins" FLOAT, "Top-25" FLOAT, "Events" FLOAT, "Cuts made" FLOAT)
|
What is the average number of events the Masters tournament, which has more than 0 top-25, has?
|
SELECT AVG("Events") FROM table_71769 WHERE "Tournament" = 'masters tournament' AND "Top-25" > '0'
|
SELECT AVG("Events") FROM "table_71769" WHERE "Top-25" > '0' AND "Tournament" = 'masters tournament'
| 0.097656 |
CREATE TABLE table_name_37 (score VARCHAR, attendance VARCHAR)
|
What is the score of the game with 1,125 people in attendance?
|
SELECT score FROM table_name_37 WHERE attendance = "1,125"
|
SELECT "score" FROM "table_name_37" WHERE "1,125" = "attendance"
| 0.0625 |
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
|
how much is the change of patient 017-66654 of the bicarbonate second measured on the first hospital visit compared to the first value measured on the first hospital visit?
|
SELECT (SELECT lab.labresult FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '017-66654' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1)) AND lab.labname = 'bicarbonate' ORDER BY lab.labresulttime LIMIT 1 OFFSET 1) - (SELECT lab.labresult FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '017-66654' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1)) AND lab.labname = 'bicarbonate' ORDER BY lab.labresulttime LIMIT 1)
|
SELECT (SELECT "lab"."labresult" FROM "lab" WHERE "lab"."labname" = 'bicarbonate' AND "lab"."patientunitstayid" IN (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."patienthealthsystemstayid" IN (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '017-66654' AND NOT "patient"."hospitaldischargetime" IS NULL ORDER BY "patient"."hospitaladmittime" NULLS FIRST LIMIT 1)) ORDER BY "lab"."labresulttime" NULLS FIRST LIMIT 1 OFFSET 1) - (SELECT "lab"."labresult" FROM "lab" WHERE "lab"."labname" = 'bicarbonate' AND "lab"."patientunitstayid" IN (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."patienthealthsystemstayid" IN (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '017-66654' AND NOT "patient"."hospitaldischargetime" IS NULL ORDER BY "patient"."hospitaladmittime" NULLS FIRST LIMIT 1)) ORDER BY "lab"."labresulttime" NULLS FIRST LIMIT 1)
| 0.942383 |
CREATE TABLE table_name_9 (total VARCHAR, score VARCHAR, set_1 VARCHAR)
|
Which Total has a Score of 1 3, and a Set 1 of 29 31?
|
SELECT total FROM table_name_9 WHERE score = "1–3" AND set_1 = "29–31"
|
SELECT "total" FROM "table_name_9" WHERE "1–3" = "score" AND "29–31" = "set_1"
| 0.076172 |
CREATE TABLE table_43091 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Attendance" TEXT)
|
On what date did week 6 occur?
|
SELECT "Date" FROM table_43091 WHERE "Week" = '6'
|
SELECT "Date" FROM "table_43091" WHERE "Week" = '6'
| 0.049805 |
CREATE TABLE table_49382 ("Result" TEXT, "Race" TEXT, "Distance" TEXT, "Weight" FLOAT, "Winner or 2nd" TEXT, "Pos'n" TEXT)
|
What is the race with a 10f distance and mollison as the winner or 2nd?
|
SELECT "Race" FROM table_49382 WHERE "Distance" = '10f' AND "Winner or 2nd" = 'mollison'
|
SELECT "Race" FROM "table_49382" WHERE "Distance" = '10f' AND "Winner or 2nd" = 'mollison'
| 0.087891 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
|
tell me the top five of the most common diagnoses of patients 20s since 4 years ago?
|
SELECT t1.diagnosisname FROM (SELECT diagnosis.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age BETWEEN 20 AND 29) AND DATETIME(diagnosis.diagnosistime) >= DATETIME(CURRENT_TIME(), '-4 year') GROUP BY diagnosis.diagnosisname) AS t1 WHERE t1.c1 <= 5
|
WITH "_u_0" AS (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."age" <= 29 AND "patient"."age" >= 20 GROUP BY "patientunitstayid"), "t1" AS (SELECT "diagnosis"."diagnosisname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnosis" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "diagnosis"."patientunitstayid" WHERE DATETIME("diagnosis"."diagnosistime") >= DATETIME(CURRENT_TIME(), '-4 year') AND NOT "_u_0"."" IS NULL GROUP BY "diagnosis"."diagnosisname") SELECT "t1"."diagnosisname" FROM "t1" AS "t1" WHERE "t1"."c1" <= 5
| 0.550781 |
CREATE TABLE table_4963 ("Date" FLOAT, "Opponent" TEXT, "Result" TEXT, "Odds" TEXT, "Location" TEXT, "Score" TEXT)
|
What was the date of a game that had the odds of q rook?
|
SELECT AVG("Date") FROM table_4963 WHERE "Odds" = 'q rook'
|
SELECT AVG("Date") FROM "table_4963" WHERE "Odds" = 'q rook'
| 0.058594 |
CREATE TABLE customer (cust_id TEXT, cust_name TEXT, acc_type TEXT, acc_bal DECIMAL, no_of_loans DECIMAL, credit_score DECIMAL, branch_id DECIMAL, state TEXT)
CREATE TABLE bank (branch_id DECIMAL, bname TEXT, no_of_customers DECIMAL, city TEXT, state TEXT)
CREATE TABLE loan (loan_id TEXT, loan_type TEXT, cust_id TEXT, branch_id TEXT, amount DECIMAL)
|
What are the names and cities of bank branches that offer loans for business?
|
SELECT T1.bname, T1.city FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id WHERE T2.loan_type = 'Business'
|
SELECT "T1"."bname", "T1"."city" FROM "bank" AS "T1" JOIN "loan" AS "T2" ON "T1"."branch_id" = "T2"."branch_id" AND "T2"."loan_type" = 'Business'
| 0.141602 |
CREATE TABLE table_71598 ("Draw" FLOAT, "Artist" TEXT, "Song" TEXT, "Votes" FLOAT, "Place" FLOAT)
|
How many votes did Yvetta Kadakas & Ivo Linna, who had less than 4 draws, have?
|
SELECT SUM("Votes") FROM table_71598 WHERE "Draw" < '4' AND "Artist" = 'yvetta kadakas & ivo linna'
|
SELECT SUM("Votes") FROM "table_71598" WHERE "Artist" = 'yvetta kadakas & ivo linna' AND "Draw" < '4'
| 0.098633 |
CREATE TABLE table_67580 ("Nat." TEXT, "Name" TEXT, "Since" FLOAT, "Goals" FLOAT, "Ends" TEXT, "Transfer fee" TEXT)
|
How many goals was by Rix from Eng who started before 2005 in the youth system?
|
SELECT COUNT("Goals") FROM table_67580 WHERE "Nat." = 'eng' AND "Transfer fee" = 'youth system' AND "Since" < '2005' AND "Name" = 'rix'
|
SELECT COUNT("Goals") FROM "table_67580" WHERE "Name" = 'rix' AND "Nat." = 'eng' AND "Since" < '2005' AND "Transfer fee" = 'youth system'
| 0.133789 |
CREATE TABLE customer_master_index (master_customer_id DECIMAL, cmi_details TEXT)
CREATE TABLE electoral_register (electoral_register_id DECIMAL, cmi_cross_ref_id DECIMAL)
CREATE TABLE business_rates (business_rates_id DECIMAL, cmi_cross_ref_id DECIMAL)
CREATE TABLE council_tax (council_tax_id DECIMAL, cmi_cross_ref_id DECIMAL)
CREATE TABLE rent_arrears (council_tax_id DECIMAL, cmi_cross_ref_id DECIMAL)
CREATE TABLE parking_fines (council_tax_id DECIMAL, cmi_cross_ref_id DECIMAL)
CREATE TABLE benefits_overpayments (council_tax_id DECIMAL, cmi_cross_ref_id DECIMAL)
CREATE TABLE cmi_cross_references (cmi_cross_ref_id DECIMAL, master_customer_id DECIMAL, source_system_code TEXT)
|
What are the register ids of electoral registries that have the cross reference source system code 'Electoral' or 'Tax'?
|
SELECT T1.electoral_register_id FROM electoral_register AS T1 JOIN cmi_cross_references AS T2 ON T1.cmi_cross_ref_id = T2.cmi_cross_ref_id WHERE T2.source_system_code = 'Electoral' OR T2.source_system_code = 'Tax'
|
SELECT "T1"."electoral_register_id" FROM "electoral_register" AS "T1" JOIN "cmi_cross_references" AS "T2" ON "T1"."cmi_cross_ref_id" = "T2"."cmi_cross_ref_id" AND ("T2"."source_system_code" = 'Electoral' OR "T2"."source_system_code" = 'Tax')
| 0.235352 |
CREATE TABLE table_78791 ("Release" TEXT, "Chart" TEXT, "Peak Position" FLOAT, "Sales Total" FLOAT, "Chart Run" TEXT)
|
Which Chart has a Peak Position of 1?
|
SELECT "Chart" FROM table_78791 WHERE "Peak Position" = '1'
|
SELECT "Chart" FROM "table_78791" WHERE "Peak Position" = '1'
| 0.05957 |
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)
|
What is the relationship between Team_ID and ACC_Percent , and group by attribute All_Neutral?
|
SELECT Team_ID, ACC_Percent FROM basketball_match GROUP BY All_Neutral
|
SELECT "Team_ID", "ACC_Percent" FROM "basketball_match" GROUP BY "All_Neutral"
| 0.076172 |
CREATE TABLE Ship (Ship_ID INT, Name TEXT, Type TEXT, Built_Year FLOAT, Class TEXT, Flag TEXT)
CREATE TABLE captain (Captain_ID INT, Name TEXT, Ship_ID INT, age TEXT, Class TEXT, Rank TEXT)
|
Visualize a bar chart showing the average age of captains in each class, order by the y axis in descending.
|
SELECT Class, AVG(age) FROM captain GROUP BY Class ORDER BY AVG(age) DESC
|
SELECT "Class", AVG("age") FROM "captain" GROUP BY "Class" ORDER BY AVG("age") DESC NULLS LAST
| 0.091797 |
CREATE TABLE table_name_38 (league_cup INT, total VARCHAR, fa_cup VARCHAR)
|
Name the most league cups for total more than 19 and FA cups more than 6
|
SELECT MAX(league_cup) FROM table_name_38 WHERE total > 19 AND fa_cup > 6
|
SELECT MAX("league_cup") FROM "table_name_38" WHERE "fa_cup" > 6 AND "total" > 19
| 0.079102 |
CREATE TABLE table_39863 ("SEASON" TEXT, "FIRST" TEXT, "SECOND" TEXT, "THIRD" TEXT, "FOURTH" TEXT, "FIFTH" TEXT, "SIXTH" TEXT)
|
What team placed sixth during the season where Western Australia placed fourth and Tasmania placed first?
|
SELECT "SIXTH" FROM table_39863 WHERE "FOURTH" = 'western australia' AND "FIRST" = 'tasmania'
|
SELECT "SIXTH" FROM "table_39863" WHERE "FIRST" = 'tasmania' AND "FOURTH" = 'western australia'
| 0.092773 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
how many patients whose diagnoses short title is ac posthemorrhag anemia and lab test fluid is joint fluid?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Ac posthemorrhag anemia" AND lab.fluid = "Joint Fluid"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Ac posthemorrhag anemia" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Joint Fluid" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id"
| 0.277344 |
CREATE TABLE table_62595 ("Player" TEXT, "Country" TEXT, "Year ( s ) won" TEXT, "Total" FLOAT, "To par" TEXT, "Finish" TEXT)
|
When the finish was t31 what was the To par?
|
SELECT "To par" FROM table_62595 WHERE "Finish" = 't31'
|
SELECT "To par" FROM "table_62595" WHERE "Finish" = 't31'
| 0.055664 |
CREATE TABLE table_33940 ("Rank" TEXT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
|
What is the average Gold when silver is more than 2, and bronze is more than 1
|
SELECT AVG("Gold") FROM table_33940 WHERE "Silver" > '2' AND "Bronze" > '1'
|
SELECT AVG("Gold") FROM "table_33940" WHERE "Bronze" > '1' AND "Silver" > '2'
| 0.075195 |
CREATE TABLE table_name_67 (winning_driver VARCHAR, winning_team VARCHAR, name VARCHAR)
|
Which driver won the Indianapolis 500 the year the Chaparral team also won it?
|
SELECT winning_driver FROM table_name_67 WHERE winning_team = "chaparral" AND name = "indianapolis 500"
|
SELECT "winning_driver" FROM "table_name_67" WHERE "chaparral" = "winning_team" AND "indianapolis 500" = "name"
| 0.108398 |
CREATE TABLE Tryout (pID DECIMAL, cName VARCHAR, pPos VARCHAR, decision VARCHAR)
CREATE TABLE College (cName VARCHAR, state VARCHAR, enr DECIMAL)
CREATE TABLE Player (pID DECIMAL, pName VARCHAR, yCard VARCHAR, HS DECIMAL)
|
For each position, what is the minimum time students spent practicing. Show a pie chart.
|
SELECT pPos, MIN(T2.HS) FROM Tryout AS T1 JOIN Player AS T2 ON T1.pID = T2.pID GROUP BY pPos
|
SELECT "pPos", MIN("T2"."HS") FROM "Tryout" AS "T1" JOIN "Player" AS "T2" ON "T1"."pID" = "T2"."pID" GROUP BY "pPos"
| 0.113281 |
CREATE TABLE table_29839 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
|
Name the record for w 101 93 (ot)
|
SELECT "Record" FROM table_29839 WHERE "Score" = 'W 101–93 (OT)'
|
SELECT "Record" FROM "table_29839" WHERE "Score" = 'W 101–93 (OT)'
| 0.064453 |
CREATE TABLE table_47943 ("Date" TEXT, "Opponents" TEXT, "H / A" TEXT, "Result F \\u2013 A" TEXT, "Scorers" TEXT)
|
Who was the opponent on 11 August 1991 when the H/A was H?
|
SELECT "Opponents" FROM table_47943 WHERE "H / A" = 'h' AND "Date" = '11 august 1991'
|
SELECT "Opponents" FROM "table_47943" WHERE "Date" = '11 august 1991' AND "H / A" = 'h'
| 0.084961 |
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 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 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 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_labitems (row_id DECIMAL, itemid DECIMAL, label 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE 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 diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
|
what is the maximum value of heart rate of patient 10855 on 12/27/this year?
|
SELECT MAX(chartevents.valuenum) FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 10855)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'heart rate' AND d_items.linksto = 'chartevents') AND DATETIME(chartevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND STRFTIME('%m-%d', chartevents.charttime) = '12-27'
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 10855 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'heart rate' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT MAX("chartevents"."valuenum") FROM "chartevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE DATETIME("chartevents"."charttime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%m-%d', "chartevents"."charttime") = '12-27'
| 0.841797 |
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE 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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
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 medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
|
what is the top four most commonly performed microbiology test that the patients until 3 years ago had in the same hospital encounter after receiving a stress ulcer prophylaxis - pantoprazole treatment?
|
SELECT t3.culturesite FROM (SELECT t2.culturesite, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, treatment.treatmenttime, patient.patienthealthsystemstayid FROM treatment JOIN patient ON treatment.patientunitstayid = patient.patientunitstayid WHERE treatment.treatmentname = 'stress ulcer prophylaxis - pantoprazole' AND DATETIME(treatment.treatmenttime) <= DATETIME(CURRENT_TIME(), '-3 year')) AS t1 JOIN (SELECT patient.uniquepid, microlab.culturesite, microlab.culturetakentime, patient.patienthealthsystemstayid FROM microlab JOIN patient ON microlab.patientunitstayid = patient.patientunitstayid WHERE DATETIME(microlab.culturetakentime) <= DATETIME(CURRENT_TIME(), '-3 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.treatmenttime < t2.culturetakentime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid GROUP BY t2.culturesite) AS t3 WHERE t3.c1 <= 4
|
WITH "t2" AS (SELECT "patient"."uniquepid", "microlab"."culturesite", "microlab"."culturetakentime", "patient"."patienthealthsystemstayid" FROM "microlab" JOIN "patient" ON "microlab"."patientunitstayid" = "patient"."patientunitstayid" WHERE DATETIME("microlab"."culturetakentime") <= DATETIME(CURRENT_TIME(), '-3 year')), "t3" AS (SELECT "t2"."culturesite", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "treatment" JOIN "patient" ON "patient"."patientunitstayid" = "treatment"."patientunitstayid" JOIN "t2" AS "t2" ON "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" AND "patient"."uniquepid" = "t2"."uniquepid" AND "t2"."culturetakentime" > "treatment"."treatmenttime" WHERE "treatment"."treatmentname" = 'stress ulcer prophylaxis - pantoprazole' AND DATETIME("treatment"."treatmenttime") <= DATETIME(CURRENT_TIME(), '-3 year') GROUP BY "t2"."culturesite") SELECT "t3"."culturesite" FROM "t3" AS "t3" WHERE "t3"."c1" <= 4
| 0.946289 |
CREATE TABLE table_27870 ("Settlement" TEXT, "Cyrillic Name Other Names" TEXT, "Type" TEXT, "Population ( 2011 ) " FLOAT, "Largest ethnic group ( 2002 ) " TEXT, "Dominant religion ( 2002 ) " TEXT)
|
Name the population for
|
SELECT COUNT("Population (2011)") FROM table_27870 WHERE "Cyrillic Name Other Names" = 'Александрово'
|
SELECT COUNT("Population (2011)") FROM "table_27870" WHERE "Cyrillic Name Other Names" = 'Александрово'
| 0.100586 |
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
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 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 admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
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)
|
what is the difference between weights second measured on the current hospital visit compared to the first value measured on the current hospital visit for patient 739?
|
SELECT (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 739 AND admissions.dischtime IS NULL)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime LIMIT 1 OFFSET 1) - (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 739 AND admissions.dischtime IS NULL)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'admit wt' AND d_items.linksto = 'chartevents') ORDER BY chartevents.charttime LIMIT 1)
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 739 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" = 'admit wt' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid"), "_u_5" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_4" ON "_u_4"."" = "icustays"."hadm_id" WHERE NOT "_u_4"."" IS NULL GROUP BY "icustay_id") SELECT (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" NULLS FIRST LIMIT 1 OFFSET 1) - (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_5" AS "_u_5" ON "_u_5"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_6" ON "_u_6"."" = "chartevents"."itemid" WHERE NOT "_u_5"."" IS NULL AND NOT "_u_6"."" IS NULL ORDER BY "chartevents"."charttime" NULLS FIRST LIMIT 1)
| 1.233398 |
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)
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)
|
get me the number of patients who had aortography procedure.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.long_title = "Aortography"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Aortography" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id"
| 0.179688 |
CREATE TABLE table_name_90 (score VARCHAR, date VARCHAR)
|
What is the score of the competition on November 10?
|
SELECT score FROM table_name_90 WHERE date = "november 10"
|
SELECT "score" FROM "table_name_90" WHERE "date" = "november 10"
| 0.0625 |
CREATE TABLE table_39600 ("District" TEXT, "Name" TEXT, "Party" TEXT, "Hometown" TEXT, "First Elected" FLOAT, "Towns Represented" TEXT)
|
Which towns are represented in district 31?
|
SELECT "Towns Represented" FROM table_39600 WHERE "District" = '31'
|
SELECT "Towns Represented" FROM "table_39600" WHERE "District" = '31'
| 0.067383 |
CREATE TABLE table_57369 ("1973 Democratic run-off primary" TEXT, "Manhattan" TEXT, "The Bronx" TEXT, "Brooklyn" TEXT, "Queens" TEXT, "Richmond [Staten Is.]" TEXT, "Total" FLOAT)
|
Which Manhattan number was there when the Total was bigger than 354,581 and The Bronx's number was 97,415?
|
SELECT "Manhattan" FROM table_57369 WHERE "Total" > '354,581' AND "The Bronx" = '97,415'
|
SELECT "Manhattan" FROM "table_57369" WHERE "The Bronx" = '97,415' AND "Total" > '354,581'
| 0.087891 |
CREATE TABLE table_12918 ("Club" TEXT, "Games" FLOAT, "Wins" FLOAT, "Losses" FLOAT, "Draws" FLOAT)
|
What is the total number of Games, when Losses is greater than 6, when Club is 'Club Sportif Sfaxien', and when Wins is less than 3?
|
SELECT COUNT("Games") FROM table_12918 WHERE "Losses" > '6' AND "Club" = 'club sportif sfaxien' AND "Wins" < '3'
|
SELECT COUNT("Games") FROM "table_12918" WHERE "Club" = 'club sportif sfaxien' AND "Losses" > '6' AND "Wins" < '3'
| 0.111328 |
CREATE TABLE table_10470 ("Independent" TEXT, "Lost" FLOAT, "Tied" FLOAT, "Pct." FLOAT, "Years" FLOAT, "Total Games" FLOAT)
|
What is the lowest PCT when Old Dominion is the independent and the years is more than 4?
|
SELECT MIN("Pct.") FROM table_10470 WHERE "Independent" = 'old dominion' AND "Years" > '4'
|
SELECT MIN("Pct.") FROM "table_10470" WHERE "Independent" = 'old dominion' AND "Years" > '4'
| 0.089844 |
CREATE TABLE table_50607 ("Game" FLOAT, "April" FLOAT, "Opponent" TEXT, "Score" TEXT, "Decision" TEXT, "Record" TEXT)
|
What is the record for a game lower than 79?
|
SELECT "Record" FROM table_50607 WHERE "Game" < '79'
|
SELECT "Record" FROM "table_50607" WHERE "Game" < '79'
| 0.052734 |
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 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 prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
what is the number of patients whose marital status is married and lab test name is calculated tbg?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "MARRIED" AND lab.label = "Calculated TBG"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Calculated TBG" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "MARRIED" = "demographic"."marital_status"
| 0.205078 |
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
|
what are the afternoon flights between WASHINGTON and BOSTON
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'WASHINGTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.departure_time BETWEEN 1200 AND 1800
|
SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'WASHINGTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."departure_time" <= 1800 AND "flight"."departure_time" >= 1200 JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BOSTON'
| 0.570313 |
CREATE TABLE table_44747 ("Date" TEXT, "Series" TEXT, "Circuit" TEXT, "City / State" TEXT, "Winner" TEXT, "Team" TEXT)
|
What is Team, when Circuit is Queensland Raceway, and when Winner is Garth Tander?
|
SELECT "Team" FROM table_44747 WHERE "Circuit" = 'queensland raceway' AND "Winner" = 'garth tander'
|
SELECT "Team" FROM "table_44747" WHERE "Circuit" = 'queensland raceway' AND "Winner" = 'garth tander'
| 0.098633 |
CREATE TABLE table_30392 ("Institution" TEXT, "Location" TEXT, "Founded" FLOAT, "Affiliation" TEXT, "Enrollment" FLOAT, "Team Nickname" TEXT, "Primary conference" TEXT)
|
When gray wolves is the team nickname how many institutions are there?
|
SELECT COUNT("Institution") FROM table_30392 WHERE "Team Nickname" = 'Gray Wolves'
|
SELECT COUNT("Institution") FROM "table_30392" WHERE "Team Nickname" = 'Gray Wolves'
| 0.082031 |
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