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CREATE TABLE table_11205 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
When did an away team score 8.6 (54)?
|
SELECT "Date" FROM table_11205 WHERE "Away team score" = '8.6 (54)'
|
SELECT "Date" FROM "table_11205" WHERE "Away team score" = '8.6 (54)'
| 0.067383 |
CREATE TABLE table_name_38 (attendance INT, date VARCHAR, week VARCHAR)
|
What was the attendance on September 19, 1971, after week 1?
|
SELECT AVG(attendance) FROM table_name_38 WHERE date = "september 19, 1971" AND week > 1
|
SELECT AVG("attendance") FROM "table_name_38" WHERE "date" = "september 19, 1971" AND "week" > 1
| 0.09375 |
CREATE TABLE ReviewTaskResultTypes (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 FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE 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 PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE 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 TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
|
Search for questions merged by specific moderator.
|
SELECT p.Id AS "post_link", ph.* FROM Posts AS p, PostHistory AS ph WHERE ph.PostId = p.Id AND ph.PostHistoryTypeId IN (37, 38) AND ph.UserId = '##modId##' ORDER BY ph.CreationDate DESC
|
SELECT "p"."Id" AS "post_link", "ph".* FROM "Posts" AS "p" JOIN "PostHistory" AS "ph" ON "p"."Id" = "ph"."PostId" AND "ph"."PostHistoryTypeId" IN (37, 38) AND "ph"."UserId" = '##modId##' ORDER BY "ph"."CreationDate" DESC NULLS LAST
| 0.225586 |
CREATE TABLE table_name_90 (position VARCHAR, laps VARCHAR)
|
What is Position, when Laps is 156?
|
SELECT position FROM table_name_90 WHERE laps = 156
|
SELECT "position" FROM "table_name_90" WHERE "laps" = 156
| 0.055664 |
CREATE TABLE table_18195 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Result" TEXT, "Candidates" TEXT)
|
Name the first elected for new york 1
|
SELECT COUNT("First elected") FROM table_18195 WHERE "District" = 'New York 1'
|
SELECT COUNT("First elected") FROM "table_18195" WHERE "District" = 'New York 1'
| 0.078125 |
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE 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 departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
|
For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about the average of employee_id over the hire_date bin hire_date by weekday by a bar chart, and show by the mean employee id from high to low.
|
SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY AVG(EMPLOYEE_ID) DESC
|
SELECT "HIRE_DATE", AVG("EMPLOYEE_ID") FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY AVG("EMPLOYEE_ID") DESC NULLS LAST
| 0.216797 |
CREATE TABLE table_name_56 (airport VARCHAR, iata VARCHAR)
|
What Airport's IATA is SEA?
|
SELECT airport FROM table_name_56 WHERE iata = "sea"
|
SELECT "airport" FROM "table_name_56" WHERE "iata" = "sea"
| 0.056641 |
CREATE TABLE undergoes (patient VARCHAR, dateundergoes VARCHAR)
|
Find the patient who has the most recent undergoing treatment?
|
SELECT patient FROM undergoes ORDER BY dateundergoes LIMIT 1
|
SELECT "patient" FROM "undergoes" ORDER BY "dateundergoes" NULLS FIRST LIMIT 1
| 0.076172 |
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange 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 CloseReasonTypes (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 Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment 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 ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
|
My comments beginning with +1 or -1.
|
SELECT Id AS "comment_link", Score AS "score", CreationDate AS "date" FROM Comments WHERE Text LIKE '-+1%' AND UserId = '##id##' ORDER BY Id DESC LIMIT 5000
|
SELECT "Id" AS "comment_link", "Score" AS "score", "CreationDate" AS "date" FROM "Comments" WHERE "Text" LIKE '-+1%' AND "UserId" = '##id##' ORDER BY "Id" DESC NULLS LAST LIMIT 5000
| 0.176758 |
CREATE TABLE table_12762 ("Name" TEXT, "Championship" FLOAT, "League Cup" FLOAT, "FA Cup" FLOAT, "Total" FLOAT)
|
Which Championship has a League Cup larger than 0, and a FA Cup larger than 0?
|
SELECT MIN("Championship") FROM table_12762 WHERE "League Cup" > '0' AND "FA Cup" > '0'
|
SELECT MIN("Championship") FROM "table_12762" WHERE "FA Cup" > '0' AND "League Cup" > '0'
| 0.086914 |
CREATE TABLE table_63541 ("Date" TEXT, "Opponent" TEXT, "Location" TEXT, "Result" TEXT, "Record" TEXT, "Rank" TEXT)
|
Who did they play at sec tournament?
|
SELECT "Opponent" FROM table_63541 WHERE "Location" = 'sec tournament'
|
SELECT "Opponent" FROM "table_63541" WHERE "Location" = 'sec tournament'
| 0.070313 |
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name 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_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE 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 transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_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 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)
|
is the glucose of patient 20066's last measured on the last hospital visit greater than second to last measured on the last hospital visit?
|
SELECT (SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 20066 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'glucose') ORDER BY labevents.charttime DESC LIMIT 1) > (SELECT labevents.valuenum FROM labevents WHERE labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 20066 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1) AND labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'glucose') ORDER BY labevents.charttime DESC LIMIT 1 OFFSET 1)
|
WITH "_u_1" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'glucose' GROUP BY "itemid") SELECT (SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "labevents"."itemid" WHERE "labevents"."hadm_id" IN (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 20066 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" DESC NULLS LAST LIMIT 1) AND NOT "_u_1"."" IS NULL ORDER BY "labevents"."charttime" DESC NULLS LAST LIMIT 1) > (SELECT "labevents"."valuenum" FROM "labevents" LEFT JOIN "_u_1" AS "_u_4" ON "_u_4"."" = "labevents"."itemid" WHERE "labevents"."hadm_id" IN (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 20066 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" DESC NULLS LAST LIMIT 1) AND NOT "_u_4"."" IS NULL ORDER BY "labevents"."charttime" DESC NULLS LAST LIMIT 1 OFFSET 1)
| 0.945313 |
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
|
For all employees who have the letters D or S in their first name, return a bar chart about the distribution of hire_date and the sum of department_id bin hire_date by weekday.
|
SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%'
|
SELECT "HIRE_DATE", SUM("DEPARTMENT_ID") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%'
| 0.111328 |
CREATE TABLE visits_restaurant (stuid DECIMAL, resid DECIMAL, time TIME, spent DECIMAL)
CREATE TABLE student (stuid DECIMAL, lname TEXT, fname TEXT, age DECIMAL, sex TEXT, major DECIMAL, advisor DECIMAL, city_code TEXT)
CREATE TABLE type_of_restaurant (resid DECIMAL, restypeid DECIMAL)
CREATE TABLE restaurant_type (restypeid DECIMAL, restypename TEXT, restypedescription TEXT)
CREATE TABLE restaurant (resid DECIMAL, resname TEXT, address TEXT, rating DECIMAL)
|
When did Linda Smith visit Subway?
|
SELECT time FROM student JOIN visits_restaurant ON student.stuid = visits_restaurant.stuid JOIN restaurant ON visits_restaurant.resid = restaurant.resid WHERE student.fname = "Linda" AND student.lname = "Smith" AND restaurant.resname = "Subway"
|
SELECT "time" FROM "student" JOIN "visits_restaurant" ON "student"."stuid" = "visits_restaurant"."stuid" JOIN "restaurant" ON "Subway" = "restaurant"."resname" AND "restaurant"."resid" = "visits_restaurant"."resid" WHERE "Linda" = "student"."fname" AND "Smith" = "student"."lname"
| 0.273438 |
CREATE TABLE table_name_68 (gender VARCHAR, name VARCHAR)
|
What genders did Lynmore Primary School take?
|
SELECT gender FROM table_name_68 WHERE name = "lynmore primary school"
|
SELECT "gender" FROM "table_name_68" WHERE "lynmore primary school" = "name"
| 0.074219 |
CREATE TABLE table_name_19 (man_of_the_match VARCHAR, opponent VARCHAR, venue VARCHAR)
|
Who was the Man of the Match when the opponent was Milton Keynes Lightning and the venue was Away?
|
SELECT man_of_the_match FROM table_name_19 WHERE opponent = "milton keynes lightning" AND venue = "away"
|
SELECT "man_of_the_match" FROM "table_name_19" WHERE "away" = "venue" AND "milton keynes lightning" = "opponent"
| 0.109375 |
CREATE TABLE table_name_59 (record VARCHAR, round VARCHAR, event VARCHAR)
|
What was his record at the AFC: Brazil 1 event that went 3 rounds?
|
SELECT record FROM table_name_59 WHERE round = "3" AND event = "afc: brazil 1"
|
SELECT "record" FROM "table_name_59" WHERE "3" = "round" AND "afc: brazil 1" = "event"
| 0.083984 |
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod 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 d_icd_diagnoses (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 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_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
|
what were the five most frequent microbiology tests ordered for patients who received venous cath nec earlier in the same hospital visit until 2102?
|
SELECT t3.spec_type_desc FROM (SELECT t2.spec_type_desc, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, procedures_icd.charttime, admissions.hadm_id FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'venous cath nec') AND STRFTIME('%y', procedures_icd.charttime) <= '2102') AS t1 JOIN (SELECT admissions.subject_id, microbiologyevents.spec_type_desc, microbiologyevents.charttime, admissions.hadm_id FROM microbiologyevents JOIN admissions ON microbiologyevents.hadm_id = admissions.hadm_id WHERE STRFTIME('%y', microbiologyevents.charttime) <= '2102') AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND t1.hadm_id = t2.hadm_id GROUP BY t2.spec_type_desc) AS t3 WHERE t3.c1 <= 5
|
WITH "t2" AS (SELECT "admissions"."subject_id", "microbiologyevents"."spec_type_desc", "microbiologyevents"."charttime", "admissions"."hadm_id" FROM "microbiologyevents" JOIN "admissions" ON "admissions"."hadm_id" = "microbiologyevents"."hadm_id" WHERE STRFTIME('%y', "microbiologyevents"."charttime") <= '2102'), "t3" AS (SELECT "t2"."spec_type_desc", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "procedures_icd" JOIN "d_icd_procedures" ON "d_icd_procedures"."icd9_code" = "procedures_icd"."icd9_code" AND "d_icd_procedures"."short_title" = 'venous cath nec' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."hadm_id" = "t2"."hadm_id" AND "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."charttime" WHERE STRFTIME('%y', "procedures_icd"."charttime") <= '2102' GROUP BY "t2"."spec_type_desc") SELECT "t3"."spec_type_desc" FROM "t3" AS "t3" WHERE "t3"."c1" <= 5
| 0.956055 |
CREATE TABLE table_62250 ("Year" TEXT, "Channel" TEXT, "Play-by-play" TEXT, "Color commentator ( s ) " TEXT, "Studio host" TEXT)
|
What year was the play-by-play for Don Earle?
|
SELECT "Year" FROM table_62250 WHERE "Play-by-play" = 'don earle'
|
SELECT "Year" FROM "table_62250" WHERE "Play-by-play" = 'don earle'
| 0.06543 |
CREATE TABLE table_name_87 (opponent VARCHAR, attendance VARCHAR)
|
Who was the opponent when attendance was 60,355?
|
SELECT opponent FROM table_name_87 WHERE attendance = "60,355"
|
SELECT "opponent" FROM "table_name_87" WHERE "60,355" = "attendance"
| 0.066406 |
CREATE TABLE table_56334 ("Team" TEXT, "Games Played" FLOAT, "Wins" FLOAT, "Losses" FLOAT, "Ties" FLOAT, "Goals For" FLOAT, "Goals Against" FLOAT)
|
How many goals against were scored when the goals for is less than 48 with 0 ties?
|
SELECT COUNT("Goals Against") FROM table_56334 WHERE "Goals For" < '48' AND "Ties" < '0'
|
SELECT COUNT("Goals Against") FROM "table_56334" WHERE "Goals For" < '48' AND "Ties" < '0'
| 0.087891 |
CREATE TABLE party (Party_ID INT, Minister TEXT, Took_office TEXT, Left_office TEXT, Region_ID INT, Party_name TEXT)
CREATE TABLE party_events (Event_ID INT, Event_Name TEXT, Party_ID INT, Member_in_charge_ID INT)
CREATE TABLE member (Member_ID INT, Member_Name TEXT, Party_ID TEXT, In_office TEXT)
CREATE TABLE region (Region_ID INT, Region_name TEXT, Date TEXT, Label TEXT, Format TEXT, Catalogue TEXT)
|
How many parties of the time they leave office, binning the leave office into WEEKDAY interval
|
SELECT Left_office, COUNT(Left_office) FROM party
|
SELECT "Left_office", COUNT("Left_office") FROM "party"
| 0.053711 |
CREATE TABLE aircraft (aid DECIMAL, name VARCHAR, distance DECIMAL)
CREATE TABLE employee (eid DECIMAL, name VARCHAR, salary DECIMAL)
CREATE TABLE certificate (eid DECIMAL, aid DECIMAL)
CREATE TABLE flight (flno DECIMAL, origin VARCHAR, destination VARCHAR, distance DECIMAL, departure_date DATE, arrival_date DATE, price DECIMAL, aid DECIMAL)
|
Show name and distance for all aircrafts by a bar chart.
|
SELECT name, distance FROM aircraft
|
SELECT "name", "distance" FROM "aircraft"
| 0.040039 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
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 marital status and date of birth of subject id 21796.
|
SELECT demographic.marital_status, demographic.dob FROM demographic WHERE demographic.subject_id = "21796"
|
SELECT "demographic"."marital_status", "demographic"."dob" FROM "demographic" WHERE "21796" = "demographic"."subject_id"
| 0.117188 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
|
what is the number of patients whose religion is greek orthodox and admission year is less than 2203?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.religion = "GREEK ORTHODOX" AND demographic.admityear < "2203"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2203" > "demographic"."admityear" AND "GREEK ORTHODOX" = "demographic"."religion"
| 0.15332 |
CREATE TABLE table_name_49 (result VARCHAR, date VARCHAR)
|
What is the result of the game on May 14?
|
SELECT result FROM table_name_49 WHERE date = "may 14"
|
SELECT "result" FROM "table_name_49" WHERE "date" = "may 14"
| 0.058594 |
CREATE TABLE table_16135 ("Sepal length" TEXT, "Sepal width" TEXT, "Petal length" TEXT, "Petal width" TEXT, "Species" TEXT)
|
Name the sepal width for i.virginica with petal length of 5.1
|
SELECT "Sepal width" FROM table_16135 WHERE "Species" = 'I.virginica' AND "Petal length" = '5.1'
|
SELECT "Sepal width" FROM "table_16135" WHERE "Petal length" = '5.1' AND "Species" = 'I.virginica'
| 0.095703 |
CREATE TABLE table_74147 ("Institution" TEXT, "Team" TEXT, "City" TEXT, "Province" TEXT, "Founded" FLOAT, "Affiliation" TEXT, "Enrollment" FLOAT, "Endowment" TEXT, "Football stadium" TEXT, "Capacity" FLOAT)
|
What year was mcmahon stadium founded?
|
SELECT MAX("Founded") FROM table_74147 WHERE "Football stadium" = 'McMahon Stadium'
|
SELECT MAX("Founded") FROM "table_74147" WHERE "Football stadium" = 'McMahon Stadium'
| 0.083008 |
CREATE TABLE table_name_55 (opponent VARCHAR, date VARCHAR)
|
What Opponent played on the Date May 21?
|
SELECT opponent FROM table_name_55 WHERE date = "may 21"
|
SELECT "opponent" FROM "table_name_55" WHERE "date" = "may 21"
| 0.060547 |
CREATE TABLE table_name_7 (distance VARCHAR, winning_horse VARCHAR)
|
What distance did the winning horse run in the Summer Doldrums.
|
SELECT distance FROM table_name_7 WHERE winning_horse = "summer doldrums"
|
SELECT "distance" FROM "table_name_7" WHERE "summer doldrums" = "winning_horse"
| 0.077148 |
CREATE TABLE table_26974 ("DS Division" TEXT, "Main Town" TEXT, "GN Divisions" FLOAT, "Area ( km 2 ) " FLOAT, "Sri Lankan Tamil" FLOAT, "Sri Lankan Moors" FLOAT, "Sinhalese" FLOAT, "Indian Tamil" FLOAT, "Other" FLOAT, "Total" FLOAT, "Population Density ( /km 2 ) " FLOAT)
|
Name the popultion density being manthai west
|
SELECT "Population Density (/km 2 )" FROM table_26974 WHERE "DS Division" = 'Manthai West'
|
SELECT "Population Density (/km 2 )" FROM "table_26974" WHERE "DS Division" = 'Manthai West'
| 0.089844 |
CREATE TABLE Grants (grant_id INT, organisation_id INT, grant_amount DECIMAL, grant_start_date DATETIME, grant_end_date DATETIME, other_details VARCHAR)
CREATE TABLE Project_Outcomes (project_id INT, outcome_code VARCHAR, outcome_details VARCHAR)
CREATE TABLE Documents (document_id INT, document_type_code VARCHAR, grant_id INT, sent_date DATETIME, response_received_date DATETIME, other_details VARCHAR)
CREATE TABLE Research_Outcomes (outcome_code VARCHAR, outcome_description VARCHAR)
CREATE TABLE Tasks (task_id INT, project_id INT, task_details VARCHAR, "eg Agree Objectives" VARCHAR)
CREATE TABLE Staff_Roles (role_code VARCHAR, role_description VARCHAR)
CREATE TABLE Document_Types (document_type_code VARCHAR, document_description VARCHAR)
CREATE TABLE Project_Staff (staff_id DOUBLE, project_id INT, role_code VARCHAR, date_from DATETIME, date_to DATETIME, other_details VARCHAR)
CREATE TABLE Organisation_Types (organisation_type VARCHAR, organisation_type_description VARCHAR)
CREATE TABLE Organisations (organisation_id INT, organisation_type VARCHAR, organisation_details VARCHAR)
CREATE TABLE Projects (project_id INT, organisation_id INT, project_details VARCHAR)
CREATE TABLE Research_Staff (staff_id INT, employer_organisation_id INT, staff_details VARCHAR)
|
Give me the trend about the date_to attributes of all researchers, and bin the date_to into Year interval, display by the x-axis from low to high.
|
SELECT date_to, COUNT(date_to) FROM Project_Staff ORDER BY date_to
|
SELECT "date_to", COUNT("date_to") FROM "Project_Staff" ORDER BY "date_to" NULLS FIRST
| 0.083984 |
CREATE TABLE customers (city VARCHAR)
|
How many customers live in Prague city?
|
SELECT COUNT(*) FROM customers WHERE city = "Prague"
|
SELECT COUNT(*) FROM "customers" WHERE "Prague" = "city"
| 0.054688 |
CREATE TABLE table_20823568_2 (second_place_s_ VARCHAR, sporting_profession VARCHAR)
|
How many second place showings does snooker have?
|
SELECT second_place_s_ FROM table_20823568_2 WHERE sporting_profession = "Snooker"
|
SELECT "second_place_s_" FROM "table_20823568_2" WHERE "Snooker" = "sporting_profession"
| 0.085938 |
CREATE TABLE table_28418916_3 (coastal_carolina_head_coach VARCHAR, year VARCHAR)
|
Who was the coastal Carolina head coach in 2013?
|
SELECT coastal_carolina_head_coach FROM table_28418916_3 WHERE year = 2013
|
SELECT "coastal_carolina_head_coach" FROM "table_28418916_3" WHERE "year" = 2013
| 0.078125 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE 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)
|
Among patients who stayed in the hospital for more than 15 days, how many of them had a lab test for homocysteine?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "15" AND lab.label = "Homocysteine"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Homocysteine" = "lab"."label" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "15" < "demographic"."days_stay"
| 0.193359 |
CREATE TABLE table_203_760 (id DECIMAL, "name" TEXT, "state" TEXT, "status" TEXT, "title" TEXT, "appointment" TEXT, "credentials\ presented" TEXT, "termination\ of mission" TEXT, "notes" TEXT)
|
how many chiefs are from new york ?
|
SELECT COUNT("name") FROM table_203_760 WHERE "state" = 'new york'
|
SELECT COUNT("name") FROM "table_203_760" WHERE "state" = 'new york'
| 0.066406 |
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
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 departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
|
For all employees who have the letters D or S in their first name, draw a bar chart about the distribution of hire_date and the amount of hire_date bin hire_date by time.
|
SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%'
|
SELECT "HIRE_DATE", COUNT("HIRE_DATE") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%'
| 0.109375 |
CREATE TABLE table_29162856_1 (pole_position VARCHAR, winning_rider VARCHAR, fastest_lap VARCHAR)
|
Who had the pole position(s) when rob guiver won and kyle ryde had the fastest lap?
|
SELECT pole_position FROM table_29162856_1 WHERE winning_rider = "Rob Guiver" AND fastest_lap = "Kyle Ryde"
|
SELECT "pole_position" FROM "table_29162856_1" WHERE "Kyle Ryde" = "fastest_lap" AND "Rob Guiver" = "winning_rider"
| 0.112305 |
CREATE TABLE table_name_80 (event VARCHAR, prize VARCHAR)
|
What event had a prize of 900,000?
|
SELECT event FROM table_name_80 WHERE prize = "€900,000"
|
SELECT "event" FROM "table_name_80" WHERE "prize" = "€900,000"
| 0.060547 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE 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)
|
tell me the first specimen test that patient 031-3355 was given in this hospital encounter?
|
SELECT microlab.culturesite FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-3355' AND patient.hospitaldischargetime IS NULL)) ORDER BY microlab.culturetakentime LIMIT 1
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."hospitaldischargetime" IS NULL AND "patient"."uniquepid" = '031-3355' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "microlab"."culturesite" FROM "microlab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "microlab"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL ORDER BY "microlab"."culturetakentime" NULLS FIRST LIMIT 1
| 0.595703 |
CREATE TABLE table_46163 ("Name" TEXT, "GP-GS" TEXT, "Gain" FLOAT, "Loss" FLOAT, "Long" FLOAT, "Avg/G" FLOAT)
|
WHAT IS THE LOSS WITH AN AVERAGE OF 89.9?
|
SELECT SUM("Loss") FROM table_46163 WHERE "Avg/G" = '89.9'
|
SELECT SUM("Loss") FROM "table_46163" WHERE "Avg/G" = '89.9'
| 0.058594 |
CREATE TABLE table_56397 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
What did the away team score when playing South Melbourne?
|
SELECT "Away team score" FROM table_56397 WHERE "Home team" = 'south melbourne'
|
SELECT "Away team score" FROM "table_56397" WHERE "Home team" = 'south melbourne'
| 0.079102 |
CREATE TABLE Transactions_Lots (transaction_id INT, lot_id INT)
CREATE TABLE Lots (lot_id INT, investor_id INT, lot_details VARCHAR)
CREATE TABLE Investors (investor_id INT, Investor_details VARCHAR)
CREATE TABLE Ref_Transaction_Types (transaction_type_code VARCHAR, transaction_type_description VARCHAR)
CREATE TABLE Transactions (transaction_id INT, investor_id INT, transaction_type_code VARCHAR, date_of_transaction DATETIME, amount_of_transaction DECIMAL, share_count VARCHAR, other_details VARCHAR)
CREATE TABLE Sales (sales_transaction_id INT, sales_details VARCHAR)
CREATE TABLE Purchases (purchase_transaction_id INT, purchase_details VARCHAR)
|
Bar chart x axis lot details y axis the number of lot details, rank in ascending by the total number.
|
SELECT lot_details, COUNT(lot_details) FROM Lots GROUP BY lot_details ORDER BY COUNT(lot_details)
|
SELECT "lot_details", COUNT("lot_details") FROM "Lots" GROUP BY "lot_details" ORDER BY COUNT("lot_details") NULLS FIRST
| 0.116211 |
CREATE TABLE table_29234 ("Team" TEXT, "Outgoing manager" TEXT, "Manner of departure" TEXT, "Date of vacancy" TEXT, "Replaced by" TEXT, "Date of appointment" TEXT)
|
What is the date of appointment when the outgoing manager was mustafa denizli?
|
SELECT "Date of appointment" FROM table_29234 WHERE "Outgoing manager" = 'Mustafa Denizli'
|
SELECT "Date of appointment" FROM "table_29234" WHERE "Outgoing manager" = 'Mustafa Denizli'
| 0.089844 |
CREATE TABLE table_name_87 (to_par VARCHAR, place VARCHAR, player VARCHAR)
|
Which To par has a Place of t4, and wayne grady is in?
|
SELECT to_par FROM table_name_87 WHERE place = "t4" AND player = "wayne grady"
|
SELECT "to_par" FROM "table_name_87" WHERE "place" = "t4" AND "player" = "wayne grady"
| 0.083984 |
CREATE TABLE table_name_22 (frequency_mhz VARCHAR, erp_w VARCHAR, call_sign VARCHAR)
|
Name the total number of frequency Mhz for when it has ERP W of 1 and call sign of w215bj
|
SELECT COUNT(frequency_mhz) FROM table_name_22 WHERE erp_w = 1 AND call_sign = "w215bj"
|
SELECT COUNT("frequency_mhz") FROM "table_name_22" WHERE "call_sign" = "w215bj" AND "erp_w" = 1
| 0.092773 |
CREATE TABLE table_name_71 (score VARCHAR, date VARCHAR)
|
What is the Score on April 6?
|
SELECT score FROM table_name_71 WHERE date = "april 6"
|
SELECT "score" FROM "table_name_71" WHERE "april 6" = "date"
| 0.058594 |
CREATE TABLE table_26597 ("County" TEXT, "Coakley %" TEXT, "Coakley votes" FLOAT, "Brown %" TEXT, "Brown votes" FLOAT, "Kennedy %" TEXT, "Kennedy votes" FLOAT)
|
How many votes did kennedy win when coaklely won 2139 votes?
|
SELECT COUNT("Kennedy votes") FROM table_26597 WHERE "Coakley votes" = '2139'
|
SELECT COUNT("Kennedy votes") FROM "table_26597" WHERE "Coakley votes" = '2139'
| 0.077148 |
CREATE TABLE table_20573 ("Date ( CE ) " TEXT, "Text" TEXT, "Simplified characters" TEXT, "Traditional characters" TEXT, "Pinyin" TEXT, "Wade-Giles" TEXT, "Literal meaning" TEXT)
|
Name the simplified characters for wade giles is ch'ing-y an i-ma
|
SELECT "Simplified characters" FROM table_20573 WHERE "Wade-Giles" = 'ch''ing-yüan … i-ma'
|
SELECT "Simplified characters" FROM "table_20573" WHERE "Wade-Giles" = 'ch\'ing-yüan … i-ma'
| 0.089844 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
|
count the number of patients whose year of death is less than or equal to 2115 and procedure long title is other endoscopy of small intestine?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dod_year <= "2115.0" AND procedures.long_title = "Other endoscopy of small intestine"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Other endoscopy of small intestine" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2115.0" >= "demographic"."dod_year"
| 0.244141 |
CREATE TABLE table_name_63 (crowd INT, away_team VARCHAR)
|
What was the average crowd size when the away team was South Melbourne?
|
SELECT AVG(crowd) FROM table_name_63 WHERE away_team = "south melbourne"
|
SELECT AVG("crowd") FROM "table_name_63" WHERE "away_team" = "south melbourne"
| 0.076172 |
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE 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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE diagnoses_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 d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
|
what are the cost of diagnosis for h zoster complicated nec?
|
SELECT DISTINCT cost.cost FROM cost WHERE cost.event_type = 'diagnoses_icd' AND cost.event_id IN (SELECT diagnoses_icd.row_id FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'h zoster complicated nec'))
|
WITH "_u_1" AS (SELECT "diagnoses_icd"."row_id" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'h zoster complicated nec' GROUP BY "row_id") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "cost"."event_id" WHERE "cost"."event_type" = 'diagnoses_icd' AND NOT "_u_1"."" IS NULL
| 0.400391 |
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
|
Visualize a bar chart about the distribution of All_Neutral and Team_ID , I want to display by the Y-axis from high to low please.
|
SELECT All_Neutral, Team_ID FROM basketball_match ORDER BY Team_ID DESC
|
SELECT "All_Neutral", "Team_ID" FROM "basketball_match" ORDER BY "Team_ID" DESC NULLS LAST
| 0.087891 |
CREATE TABLE table_70500 ("Team 1" TEXT, "Agg." TEXT, "Team 2" TEXT, "1st leg" TEXT, "2nd leg" TEXT)
|
Who was Team 2 when Stationery Stores was Team 1?
|
SELECT "Team 2" FROM table_70500 WHERE "Team 1" = 'stationery stores'
|
SELECT "Team 2" FROM "table_70500" WHERE "Team 1" = 'stationery stores'
| 0.069336 |
CREATE TABLE table_67102 ("Pure Tamil" TEXT, "How Ashtagrama Iyers say it" TEXT, "How other Iyers say it" TEXT, "How other Tamils say it" TEXT, "English Meaning" TEXT)
|
Name how other lyers say enga ullale
|
SELECT "How other Iyers say it" FROM table_67102 WHERE "How Ashtagrama Iyers say it" = 'enga ullale'
|
SELECT "How other Iyers say it" FROM "table_67102" WHERE "How Ashtagrama Iyers say it" = 'enga ullale'
| 0.099609 |
CREATE TABLE table_68708 ("Date" TEXT, "Visiting team" TEXT, "Final score" TEXT, "Host team" TEXT, "Stadium" TEXT)
|
What is the host team with the stadium Lincoln Financial Field?
|
SELECT "Host team" FROM table_68708 WHERE "Stadium" = 'lincoln financial field'
|
SELECT "Host team" FROM "table_68708" WHERE "Stadium" = 'lincoln financial field'
| 0.079102 |
CREATE TABLE table_204_637 (id DECIMAL, "type" TEXT, "gauge" TEXT, "railway" TEXT, "works no." TEXT, "year" TEXT, "builder" TEXT)
|
how many years apart were the two garratts on the southern fuegian railway produced ?
|
SELECT MAX("year") - MIN("year") FROM table_204_637 WHERE "railway" = 'southern fuegian railway'
|
SELECT MAX("year") - MIN("year") FROM "table_204_637" WHERE "railway" = 'southern fuegian railway'
| 0.095703 |
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE 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 allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime 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 vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
|
let's count the number of times patient 032-3281 had received a glucose lab test since 3 years ago.
|
SELECT COUNT(*) FROM lab WHERE lab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '032-3281')) AND lab.labname = 'glucose' AND DATETIME(lab.labresulttime) >= DATETIME(CURRENT_TIME(), '-3 year')
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '032-3281' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) FROM "lab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'glucose' AND DATETIME("lab"."labresulttime") >= DATETIME(CURRENT_TIME(), '-3 year') AND NOT "_u_1"."" IS NULL
| 0.572266 |
CREATE TABLE table_name_67 (max_aperture VARCHAR)
|
What is the 35mm EFL and the equivalent aperture of the lens(es) with a maximum aperture of f /2.5?
|
SELECT 35 AS mm_efl_and_equivalent_aperture FROM table_name_67 WHERE max_aperture = "f /2.5"
|
SELECT 35 AS "mm_efl_and_equivalent_aperture" FROM "table_name_67" WHERE "f /2.5" = "max_aperture"
| 0.095703 |
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 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)
|
what is the number of patients whose ethnicity is black/haitian and admission year is less than 2172?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/HAITIAN" AND demographic.admityear < "2172"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2172" > "demographic"."admityear" AND "BLACK/HAITIAN" = "demographic"."ethnicity"
| 0.15332 |
CREATE TABLE table_204_35 (id DECIMAL, "season" TEXT, "tier" DECIMAL, "division" TEXT, "place" TEXT)
|
how many times did sd ponferradina b come in better than 5th place ?
|
SELECT COUNT(*) FROM table_204_35 WHERE "place" < 5
|
SELECT COUNT(*) FROM "table_204_35" WHERE "place" < 5
| 0.051758 |
CREATE TABLE EMPLOYEE (EMP_NUM INT, EMP_LNAME VARCHAR, EMP_FNAME VARCHAR, EMP_INITIAL VARCHAR, EMP_JOBCODE VARCHAR, EMP_HIREDATE DATETIME, EMP_DOB DATETIME)
CREATE TABLE CLASS (CLASS_CODE VARCHAR, CRS_CODE VARCHAR, CLASS_SECTION VARCHAR, CLASS_TIME VARCHAR, CLASS_ROOM VARCHAR, PROF_NUM INT)
CREATE TABLE COURSE (CRS_CODE VARCHAR, DEPT_CODE VARCHAR, CRS_DESCRIPTION VARCHAR, CRS_CREDIT FLOAT)
CREATE TABLE DEPARTMENT (DEPT_CODE VARCHAR, DEPT_NAME VARCHAR, SCHOOL_CODE VARCHAR, EMP_NUM INT, DEPT_ADDRESS VARCHAR, DEPT_EXTENSION VARCHAR)
CREATE TABLE ENROLL (CLASS_CODE VARCHAR, STU_NUM INT, ENROLL_GRADE 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 PROFESSOR (EMP_NUM INT, DEPT_CODE VARCHAR, PROF_OFFICE VARCHAR, PROF_EXTENSION VARCHAR, PROF_HIGH_DEGREE VARCHAR)
|
What is the lowest student GPA for every department? Return a bar chart, and could you show from low to high by the DEPT_CODE?
|
SELECT DEPT_CODE, MIN(STU_GPA) FROM STUDENT GROUP BY DEPT_CODE ORDER BY DEPT_CODE
|
SELECT "DEPT_CODE", MIN("STU_GPA") FROM "STUDENT" GROUP BY "DEPT_CODE" ORDER BY "DEPT_CODE" NULLS FIRST
| 0.100586 |
CREATE TABLE table_42976 ("U.S. mission" TEXT, "Mass ( kg ) " FLOAT, "Booster" TEXT, "Launched" TEXT, "Mission goal" TEXT, "Landing zone" TEXT, "Lat / Lon" TEXT)
|
What is the latitude and longitude for Surveyor 3?
|
SELECT "Lat / Lon" FROM table_42976 WHERE "U.S. mission" = 'surveyor 3'
|
SELECT "Lat / Lon" FROM "table_42976" WHERE "U.S. mission" = 'surveyor 3'
| 0.071289 |
CREATE TABLE appellations (no DECIMAL, appelation TEXT, county TEXT, state TEXT, area TEXT, isava TEXT)
CREATE TABLE wine (no DECIMAL, grape TEXT, winery TEXT, appelation TEXT, state TEXT, name TEXT, year DECIMAL, price DECIMAL, score DECIMAL, cases DECIMAL, drink TEXT)
CREATE TABLE grapes (id DECIMAL, grape TEXT, color TEXT)
|
List the names of all distinct wines ordered by price.
|
SELECT DISTINCT name FROM wine ORDER BY price
|
SELECT DISTINCT "name" FROM "wine" ORDER BY "price" NULLS FIRST
| 0.061523 |
CREATE TABLE table_74329 ("Team" TEXT, "Stadium" TEXT, "Home Games" FLOAT, "Average Attendance" FLOAT, "Total Attendance" FLOAT, "Capacity Percentage" TEXT)
|
What is the capacity percentage when the total attendance is 509940?
|
SELECT "Capacity Percentage" FROM table_74329 WHERE "Total Attendance" = '509940'
|
SELECT "Capacity Percentage" FROM "table_74329" WHERE "Total Attendance" = '509940'
| 0.081055 |
CREATE TABLE table_name_5 (planetary_mass___m INT, rv__cm_s_ VARCHAR, period__days_ VARCHAR)
|
What is the highest planetary mass having an RV (cm/s) of 65 and a Period (days) less than 21?
|
SELECT MAX(planetary_mass___m) AS ⊕__ FROM table_name_5 WHERE rv__cm_s_ = 65 AND period__days_ < 21
|
SELECT MAX("planetary_mass___m") AS "⊕__" FROM "table_name_5" WHERE "period__days_" < 21 AND "rv__cm_s_" = 65
| 0.106445 |
CREATE TABLE table_62422 ("Pick #" FLOAT, "Player" TEXT, "Nationality" TEXT, "Position" TEXT, "Team from" TEXT, "League from" TEXT)
|
Which Position has a Team from of ottawa 67's, and a Pick # smaller than 47?
|
SELECT "Position" FROM table_62422 WHERE "Team from" = 'ottawa 67''s' AND "Pick #" < '47'
|
SELECT "Position" FROM "table_62422" WHERE "Pick #" < '47' AND "Team from" = 'ottawa 67\'s'
| 0.088867 |
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 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
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 diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
|
how the percentile is the pt value of 13.8 among patients of the same age as patient 32163 during the last hospital visit?
|
SELECT DISTINCT t1.c1 FROM (SELECT labevents.valuenum, PERCENT_RANK() OVER (ORDER BY labevents.valuenum) AS c1 FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'pt') AND labevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age = (SELECT admissions.age FROM admissions WHERE admissions.subject_id = 32163 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime DESC LIMIT 1))) AS t1 WHERE t1.valuenum = 13.8
|
WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'pt' GROUP BY "itemid"), "_u_1" AS (SELECT "admissions"."age" FROM "admissions" WHERE "admissions"."subject_id" = 32163 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" DESC NULLS LAST LIMIT 1) SELECT DISTINCT PERCENT_RANK() OVER (ORDER BY "labevents"."valuenum" NULLS FIRST) FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."itemid" WHERE "labevents"."hadm_id" IN (SELECT "admissions"."hadm_id" FROM "admissions" JOIN "_u_1" AS "_u_1" ON "_u_1"."age" = "admissions"."age") AND "labevents"."valuenum" = 13.8 AND NOT "_u_0"."" IS NULL
| 0.657227 |
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 d_icd_diagnoses (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 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 cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
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 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 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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
|
when first did patient 12775 have the minimum arterial bp [systolic] on the current icu visit?
|
SELECT chartevents.charttime 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 = 12775) AND icustays.outtime IS NULL) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [systolic]' AND d_items.linksto = 'chartevents') ORDER BY chartevents.valuenum, chartevents.charttime LIMIT 1
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 12775 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 "icustays"."outtime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp [systolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT "chartevents"."charttime" 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"."valuenum" NULLS FIRST, "chartevents"."charttime" NULLS FIRST LIMIT 1
| 0.805664 |
CREATE TABLE party_events (Event_ID INT, Event_Name TEXT, Party_ID INT, Member_in_charge_ID INT)
CREATE TABLE member (Member_ID INT, Member_Name TEXT, Party_ID TEXT, In_office TEXT)
CREATE TABLE region (Region_ID INT, Region_name TEXT, Date TEXT, Label TEXT, Format TEXT, Catalogue TEXT)
CREATE TABLE party (Party_ID INT, Minister TEXT, Took_office TEXT, Left_office TEXT, Region_ID INT, Party_name TEXT)
|
Give me a histogram for how many events are there for each party?
|
SELECT Party_name, COUNT(*) FROM party_events AS T1 JOIN party AS T2 ON T1.Party_ID = T2.Party_ID GROUP BY T1.Party_ID
|
SELECT "Party_name", COUNT(*) FROM "party_events" AS "T1" JOIN "party" AS "T2" ON "T1"."Party_ID" = "T2"."Party_ID" GROUP BY "T1"."Party_ID"
| 0.136719 |
CREATE TABLE table_name_99 (rank_by_average VARCHAR, number_of_dances VARCHAR, total_points VARCHAR)
|
What is the total rank by average for 2 dances, which have more than 37 total points?
|
SELECT COUNT(rank_by_average) FROM table_name_99 WHERE number_of_dances = 2 AND total_points > 37
|
SELECT COUNT("rank_by_average") FROM "table_name_99" WHERE "number_of_dances" = 2 AND "total_points" > 37
| 0.102539 |
CREATE TABLE table_22402438_7 (college_junior_club_team VARCHAR, player VARCHAR)
|
How many college/junior/clubteams have John garrett as the player?
|
SELECT COUNT(college_junior_club_team) FROM table_22402438_7 WHERE player = "John Garrett"
|
SELECT COUNT("college_junior_club_team") FROM "table_22402438_7" WHERE "John Garrett" = "player"
| 0.09375 |
CREATE TABLE table_63116 ("Tournament" TEXT, "Wins" FLOAT, "Top-5" FLOAT, "Events" FLOAT, "Cuts made" FLOAT)
|
What is the least Top-5 when 1 is the cuts made?
|
SELECT MIN("Top-5") FROM table_63116 WHERE "Cuts made" = '1'
|
SELECT MIN("Top-5") FROM "table_63116" WHERE "Cuts made" = '1'
| 0.060547 |
CREATE TABLE table_test_8 ("id" INT, "anemia" BOOLEAN, "intra_aortic_balloon_pump_iabp" BOOLEAN, "systolic_blood_pressure_sbp" INT, "intravenous_pressors" BOOLEAN, "fever" BOOLEAN, "hemoglobin_a1c_hba1c" FLOAT, "heart_disease" BOOLEAN, "vasopressors" BOOLEAN, "renal_disease" BOOLEAN, "temperature" FLOAT, "creatinine_clearance_cl" FLOAT, "planned_left_main_intervention" BOOLEAN, "estimated_glomerular_filtration_rate_egfr" INT, "cardiogenic_shock" BOOLEAN, "platelet_count" FLOAT, "non_responsive_to_fluids" BOOLEAN, "infection_with_fever" BOOLEAN, "hypotension" BOOLEAN, "serum_creatinine" FLOAT, "unprotected_left_main_stenosis" INT, "low_ejection_fraction" INT, "hb" FLOAT, "NOUSE" FLOAT)
|
cardiogenic shock ( systolic blood pressure [sbp] < 80 mmhg and non _ responsive to fluids, or sbp < 100 mmhg with vasopressors, or requirement for an intra _ aortic balloon pump [iabp] ) .
|
SELECT * FROM table_test_8 WHERE cardiogenic_shock = 1 OR ((systolic_blood_pressure_sbp < 80 AND non_responsive_to_fluids = 1) OR (systolic_blood_pressure_sbp < 100 AND vasopressors = 1) OR intra_aortic_balloon_pump_iabp = 1)
|
SELECT * FROM "table_test_8" WHERE ("cardiogenic_shock" = 1 OR "intra_aortic_balloon_pump_iabp" = 1 OR "non_responsive_to_fluids" = 1 OR "vasopressors" = 1) AND ("cardiogenic_shock" = 1 OR "intra_aortic_balloon_pump_iabp" = 1 OR "systolic_blood_pressure_sbp" < 100) AND ("cardiogenic_shock" = 1 OR "intra_aortic_balloon_pump_iabp" = 1 OR "systolic_blood_pressure_sbp" < 80 OR "vasopressors" = 1)
| 0.385742 |
CREATE TABLE table_name_28 (socket VARCHAR, part_number_s_ VARCHAR)
|
What kind of socket is on the microprocessor with a part number of 80526pz533256?
|
SELECT socket FROM table_name_28 WHERE part_number_s_ = "80526pz533256"
|
SELECT "socket" FROM "table_name_28" WHERE "80526pz533256" = "part_number_s_"
| 0.075195 |
CREATE TABLE table_13337302_16 (rank VARCHAR, dismissals VARCHAR)
|
List the ranks of all dismissals with a value of 4
|
SELECT rank FROM table_13337302_16 WHERE dismissals = 4
|
SELECT "rank" FROM "table_13337302_16" WHERE "dismissals" = 4
| 0.05957 |
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)
|
give me the number of patients whose admission type is urgent and drug route is both eyes?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "URGENT" AND prescriptions.route = "BOTH EYES"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "BOTH EYES" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "URGENT" = "demographic"."admission_type"
| 0.228516 |
CREATE TABLE table_71631 ("Res." TEXT, "Record" TEXT, "Opponent" TEXT, "Method" TEXT, "Event" TEXT, "Round" FLOAT, "Time" TEXT, "Location" TEXT)
|
What is the highest round of the match with Rene Rooze as the opponent in Saitama, Japan?
|
SELECT MAX("Round") FROM table_71631 WHERE "Opponent" = 'rene rooze' AND "Location" = 'saitama, japan'
|
SELECT MAX("Round") FROM "table_71631" WHERE "Location" = 'saitama, japan' AND "Opponent" = 'rene rooze'
| 0.101563 |
CREATE TABLE Movie (mID INT, title TEXT, year INT, director TEXT)
CREATE TABLE Rating (rID INT, mID INT, stars INT, ratingDate DATE)
CREATE TABLE Reviewer (rID INT, name TEXT)
|
A bar chart for what are the number of the titles of all movies that have between 3 and 5 stars?
|
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
|
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"
| 0.15918 |
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 job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
|
For those employees who was hired before 2002-06-21, a bar chart shows the distribution of hire_date and the average of salary bin hire_date by time, and rank by the Y-axis in descending please.
|
SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY AVG(SALARY) DESC
|
SELECT "HIRE_DATE", AVG("SALARY") FROM "employees" WHERE "HIRE_DATE" < '2002-06-21' ORDER BY AVG("SALARY") DESC NULLS LAST
| 0.119141 |
CREATE TABLE table_41212 ("Rank" FLOAT, "Name" TEXT, "Years" TEXT, "Matches" FLOAT, "Goals" FLOAT)
|
What is the most goals made for a person with less than 208 matches and ranked lower than 12?
|
SELECT MAX("Goals") FROM table_41212 WHERE "Matches" < '208' AND "Rank" > '12'
|
SELECT MAX("Goals") FROM "table_41212" WHERE "Matches" < '208' AND "Rank" > '12'
| 0.078125 |
CREATE TABLE table_62689 ("Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Partner" TEXT, "Opponents" TEXT, "Score" TEXT)
|
Who was the Partner in the Algiers 2, Algeria Tournament?
|
SELECT "Partner" FROM table_62689 WHERE "Tournament" = 'algiers 2, algeria'
|
SELECT "Partner" FROM "table_62689" WHERE "Tournament" = 'algiers 2, algeria'
| 0.075195 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
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 gender is m and diagnoses long title is seroma complicating a procedure?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "M" AND diagnoses.long_title = "Seroma complicating a procedure"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Seroma complicating a procedure" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "M" = "demographic"."gender"
| 0.230469 |
CREATE TABLE table_name_70 (points VARCHAR, engine VARCHAR)
|
How many points did the car with the brm v8 engine have?
|
SELECT COUNT(points) FROM table_name_70 WHERE engine = "brm v8"
|
SELECT COUNT("points") FROM "table_name_70" WHERE "brm v8" = "engine"
| 0.067383 |
CREATE TABLE table_name_56 (result VARCHAR, attendance VARCHAR)
|
What was the result of the game that was attended by 41,650 people?
|
SELECT result FROM table_name_56 WHERE attendance = "41,650"
|
SELECT "result" FROM "table_name_56" WHERE "41,650" = "attendance"
| 0.064453 |
CREATE TABLE table_28926 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" TEXT, "Result" TEXT, "Candidates" TEXT)
|
Who were the candidates in the district where the incumbent was Nathaniel Macon?
|
SELECT "Candidates" FROM table_28926 WHERE "Incumbent" = 'Nathaniel Macon'
|
SELECT "Candidates" FROM "table_28926" WHERE "Incumbent" = 'Nathaniel Macon'
| 0.074219 |
CREATE TABLE table_name_76 (release_price___usd__ VARCHAR, frequency VARCHAR, i_o_bus VARCHAR)
|
What's the release price of a processor that has a frequency of 3.2 ghz and 1 6.4 gt/s qpi I/O?
|
SELECT release_price___usd__ FROM table_name_76 WHERE frequency = "3.2 ghz" AND i_o_bus = "1 × 6.4 gt/s qpi"
|
SELECT "release_price___usd__" FROM "table_name_76" WHERE "1 × 6.4 gt/s qpi" = "i_o_bus" AND "3.2 ghz" = "frequency"
| 0.113281 |
CREATE TABLE table_13269 ("Name" TEXT, "Position" TEXT, "League Apps" TEXT, "League Goals" FLOAT, "FA Cup Apps" TEXT, "FA Cup Goals" FLOAT, "League Cup Apps" TEXT, "League Cup Goals" FLOAT, "Total Apps" TEXT, "Total Goals" FLOAT)
|
Which Name has a League Cup Goals of 0, and League Apps of 1?
|
SELECT "Name" FROM table_13269 WHERE "League Cup Goals" = '0' AND "League Apps" = '1'
|
SELECT "Name" FROM "table_13269" WHERE "League Apps" = '1' AND "League Cup Goals" = '0'
| 0.084961 |
CREATE TABLE table_name_21 (score VARCHAR, venue VARCHAR, champion VARCHAR)
|
What is the score of the match won by Willie Hunter at the Royal Liverpool Golf Club?
|
SELECT score FROM table_name_21 WHERE venue = "royal liverpool golf club" AND champion = "willie hunter"
|
SELECT "score" FROM "table_name_21" WHERE "champion" = "willie hunter" AND "royal liverpool golf club" = "venue"
| 0.109375 |
CREATE TABLE table_204_34 (id DECIMAL, "rank" DECIMAL, "nation" TEXT, "gold" DECIMAL, "silver" DECIMAL, "bronze" DECIMAL, "total" DECIMAL)
|
which three countries have at least nine metals ?
|
SELECT "nation" FROM table_204_34 WHERE "total" >= 9
|
SELECT "nation" FROM "table_204_34" WHERE "total" >= 9
| 0.052734 |
CREATE TABLE table_name_41 (circuit VARCHAR, winning_team VARCHAR)
|
What circuit saw Cabin Racing as the winning team?
|
SELECT circuit FROM table_name_41 WHERE winning_team = "cabin racing"
|
SELECT "circuit" FROM "table_name_41" WHERE "cabin racing" = "winning_team"
| 0.073242 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE 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 are admitted under emergency and tested with lab item id 51256?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND lab.itemid = "51256"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "51256" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "EMERGENCY" = "demographic"."admission_type"
| 0.199219 |
CREATE TABLE table_79093 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT, "Money ( \\u00a3 ) " FLOAT)
|
What is To par, when Player is 'Greg Turner'?
|
SELECT "To par" FROM table_79093 WHERE "Player" = 'greg turner'
|
SELECT "To par" FROM "table_79093" WHERE "Player" = 'greg turner'
| 0.063477 |
CREATE TABLE Faculty (FacID INT, Lname VARCHAR, Fname VARCHAR, Rank VARCHAR, Sex VARCHAR, Phone INT, Room VARCHAR, Building VARCHAR)
CREATE TABLE Student (StuID INT, LName VARCHAR, Fname VARCHAR, Age INT, Sex VARCHAR, Major INT, Advisor INT, city_code VARCHAR)
CREATE TABLE Activity (actid INT, activity_name VARCHAR)
CREATE TABLE Participates_in (stuid INT, actid INT)
CREATE TABLE Faculty_Participates_in (FacID INT, actid INT)
|
Show the number of faculty members for each rank in a bar chart, list in desc by the names please.
|
SELECT Rank, COUNT(Rank) FROM Faculty GROUP BY Rank ORDER BY Rank DESC
|
SELECT "Rank", COUNT("Rank") FROM "Faculty" GROUP BY "Rank" ORDER BY "Rank" DESC NULLS LAST
| 0.088867 |
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE 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 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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto 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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE 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 diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
|
is arterial bp [systolic] of patient 9566 less than 158.0 today?
|
SELECT COUNT(*) > 0 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 = 9566)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [systolic]' AND d_items.linksto = 'chartevents') AND chartevents.valuenum < 158.0 AND DATETIME(chartevents.charttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day')
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 9566 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" = 'arterial bp [systolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT COUNT(*) > 0 FROM "chartevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."valuenum" < 158.0 AND DATETIME("chartevents"."charttime", 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-0 day') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL
| 0.811523 |
CREATE TABLE appellations (No INT, Appelation TEXT, County TEXT, State TEXT, Area TEXT, isAVA TEXT)
CREATE TABLE wine (No INT, Grape TEXT, Winery TEXT, Appelation TEXT, State TEXT, Name TEXT, Year INT, Price INT, Score INT, Cases INT, Drink TEXT)
CREATE TABLE grapes (ID INT, Grape TEXT, Color TEXT)
|
Give me a bar chart about the proportion of the number of grape of the wines whose price is bigger than 100 ordered by year.
|
SELECT Grape, COUNT(Grape) FROM wine WHERE Price > 100 GROUP BY Grape ORDER BY Year
|
SELECT "Grape", COUNT("Grape") FROM "wine" WHERE "Price" > 100 GROUP BY "Grape" ORDER BY "Year" NULLS FIRST
| 0.104492 |
CREATE TABLE table_name_72 (grid INT, time_retired VARCHAR, laps VARCHAR)
|
WHAT IS THE LOWEST GRID FOR RETIREMENT, AND LAPS LARGER THAN 17?
|
SELECT MIN(grid) FROM table_name_72 WHERE time_retired = "retirement" AND laps > 17
|
SELECT MIN("grid") FROM "table_name_72" WHERE "laps" > 17 AND "retirement" = "time_retired"
| 0.088867 |
CREATE TABLE table_66099 ("Continent" TEXT, "Location" TEXT, "City" TEXT, "Date" TEXT, "Year" FLOAT)
|
What year was the expansion in the city of San Juan?
|
SELECT COUNT("Year") FROM table_66099 WHERE "City" = 'san juan'
|
SELECT COUNT("Year") FROM "table_66099" WHERE "City" = 'san juan'
| 0.063477 |
CREATE TABLE table_70317 ("Date" TEXT, "Opponent" TEXT, "Home/Away" TEXT, "Field" TEXT, "Result" TEXT)
|
What is the result when you play at home against Pride
|
SELECT "Result" FROM table_70317 WHERE "Home/Away" = 'home' AND "Opponent" = 'pride'
|
SELECT "Result" FROM "table_70317" WHERE "Home/Away" = 'home' AND "Opponent" = 'pride'
| 0.083984 |
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