schema
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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)
|
count the number of patients whose primary disease is guillain barre syndrome and age is less than 59?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "GUILLAIN BARRE SYNDROME" AND demographic.age < "59"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "59" > "demographic"."age" AND "GUILLAIN BARRE SYNDROME" = "demographic"."diagnosis"
| 0.155273 |
CREATE TABLE table_203_713 (id DECIMAL, "s.no." DECIMAL, "name of kingdom" TEXT, "name of king" TEXT, "no. of villages" DECIMAL, "capital" TEXT, "names of districts" TEXT)
|
how many districts does punia have ?
|
SELECT "names of districts" FROM table_203_713 WHERE "name of kingdom" = 'punia'
|
SELECT "names of districts" FROM "table_203_713" WHERE "name of kingdom" = 'punia'
| 0.080078 |
CREATE TABLE table_18207285_2 (opponents INT, result VARCHAR, game VARCHAR)
|
How many opponents played 1 game with a result win?
|
SELECT MAX(opponents) FROM table_18207285_2 WHERE result = "Win" AND game = 1
|
SELECT MAX("opponents") FROM "table_18207285_2" WHERE "Win" = "result" AND "game" = 1
| 0.083008 |
CREATE TABLE table_43728 ("Stage" FLOAT, "Start" TEXT, "Arrival" TEXT, "Duration" TEXT, "Difficulty" TEXT)
|
How long does the one that stars with son bou of middle difficulty, and on a stage number larger than 13 last?
|
SELECT "Duration" FROM table_43728 WHERE "Stage" > '13' AND "Difficulty" = 'middle' AND "Start" = 'son bou'
|
SELECT "Duration" FROM "table_43728" WHERE "Difficulty" = 'middle' AND "Stage" > '13' AND "Start" = 'son bou'
| 0.106445 |
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
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 locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
|
For those employees who did not have any job in the past, visualize a bar chart about the distribution of hire_date and the average of salary bin hire_date by weekday, show y axis in descending order please.
|
SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY AVG(SALARY) DESC
|
SELECT "HIRE_DATE", AVG("SALARY") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") ORDER BY AVG("SALARY") DESC NULLS LAST
| 0.154297 |
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE 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 PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
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 Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount 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 PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskTypes (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 TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
|
Well-Received Question Rank by User.
|
WITH RankedUsers AS (SELECT RANK() OVER (ORDER BY COUNT(*) DESC) AS Rank, p.OwnerUserId AS UserId, COUNT(*) AS QuestionCount FROM Posts AS p WHERE PostTypeId = 1 AND p.Score > 0 GROUP BY p.OwnerUserId) SELECT Rank, UserID AS "user_link", QuestionCount FROM RankedUsers WHERE Rank < 100 OR UserID = '##UserId##' ORDER BY Rank
|
WITH "_u_0" AS (SELECT MAX(1) AS "_", 1 AS "_u_1" FROM "Posts" AS "p" WHERE "p"."Score" > 0 GROUP BY "p"."OwnerUserId", 1) SELECT "Rank", "UserID" AS "user_link", "QuestionCount" FROM "RankedUsers" LEFT JOIN "_u_0" AS "_u_0" ON "PostTypeId" = "_u_0"."_u_1" WHERE "Rank" < 100 OR "UserID" = '##UserId##' ORDER BY "Rank" NULLS FIRST
| 0.322266 |
CREATE TABLE table_24256 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" TEXT, "U.S. viewers ( millions ) " TEXT)
|
in the number of episode in season is 11, who was the writer?
|
SELECT "Written by" FROM table_24256 WHERE "No. in season" = '11'
|
SELECT "Written by" FROM "table_24256" WHERE "No. in season" = '11'
| 0.06543 |
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount 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 Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange 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 ReviewTaskStates (Id DECIMAL, Name TEXT, Description 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 ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId 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 PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId 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 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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResultTypes (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)
|
TOP 100 users from Bangladesh.
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SELECT Id, DisplayName, Reputation, WebsiteUrl, Location FROM Users WHERE Location LIKE '%Bangladesh%' ORDER BY Reputation DESC LIMIT 1000
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SELECT "Id", "DisplayName", "Reputation", "WebsiteUrl", "Location" FROM "Users" WHERE "Location" LIKE '%Bangladesh%' ORDER BY "Reputation" DESC NULLS LAST LIMIT 1000
| 0.161133 |
CREATE TABLE Staff (date_joined_staff VARCHAR, first_name VARCHAR, last_name VARCHAR)
|
When did the staff member with first name as Janessa and last name as Sawayn join the company?
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SELECT date_joined_staff FROM Staff WHERE first_name = "Janessa" AND last_name = "Sawayn"
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SELECT "date_joined_staff" FROM "Staff" WHERE "Janessa" = "first_name" AND "Sawayn" = "last_name"
| 0.094727 |
CREATE TABLE table_name_15 (surface VARCHAR, date VARCHAR)
|
On July 15, 1984 what surface was used?
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SELECT surface FROM table_name_15 WHERE date = "july 15, 1984"
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SELECT "surface" FROM "table_name_15" WHERE "date" = "july 15, 1984"
| 0.066406 |
CREATE TABLE table_1940144_1 (county VARCHAR, population_2011 VARCHAR)
|
In what counties is the 2011 population 17908?
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SELECT county FROM table_1940144_1 WHERE population_2011 = 17908
|
SELECT "county" FROM "table_1940144_1" WHERE "population_2011" = 17908
| 0.068359 |
CREATE TABLE table_name_8 (total INT, bronze VARCHAR, nation VARCHAR, silver VARCHAR, gold VARCHAR)
|
What is the average Total, when the value for Silver is less than 1, when the value for Gold is 0, when the Nation is Switzerland, and when the value for Bronze is 2?
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SELECT AVG(total) FROM table_name_8 WHERE silver < 1 AND gold = 0 AND nation = "switzerland" AND bronze < 2
|
SELECT AVG("total") FROM "table_name_8" WHERE "bronze" < 2 AND "gold" = 0 AND "nation" = "switzerland" AND "silver" < 1
| 0.116211 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
|
For those records from the products and each product's manufacturer, visualize a scatter chart about the correlation between manufacturer and revenue , and group by attribute founder.
|
SELECT Manufacturer, Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder
|
SELECT "Manufacturer", "Revenue" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder"
| 0.137695 |
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
|
Which one of the upper-level FIN classes will be available this Spring-Summer ?
|
SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, program_course, semester WHERE course.course_id = course_offering.course_id AND course.department = 'FIN' AND program_course.category LIKE '%ULCS%' AND program_course.course_id = course.course_id AND semester.semester = 'Spring-Summer' AND semester.semester_id = course_offering.semester AND semester.year = 2016
|
SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%ULCS%' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'Spring-Summer' AND "semester"."year" = 2016 WHERE "course"."department" = 'FIN'
| 0.461914 |
CREATE TABLE table_name_56 (guest VARCHAR, result VARCHAR)
|
Who was the guest when the result was 0:3?
|
SELECT guest FROM table_name_56 WHERE result = "0:3"
|
SELECT "guest" FROM "table_name_56" WHERE "0:3" = "result"
| 0.056641 |
CREATE TABLE party (Party_ID INT, Year FLOAT, Party TEXT, Governor TEXT, Lieutenant_Governor TEXT, Comptroller TEXT, Attorney_General TEXT, US_Senate TEXT)
CREATE TABLE election (Election_ID INT, Counties_Represented TEXT, District INT, Delegate TEXT, Party INT, First_Elected FLOAT, Committee TEXT)
CREATE TABLE county (County_Id INT, County_name TEXT, Population FLOAT, Zip_code TEXT)
|
Show the proportion of each party in a pie chart.
|
SELECT T2.Party, COUNT(T2.Party) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID GROUP BY T2.Party
|
SELECT "T2"."Party", COUNT("T2"."Party") FROM "election" AS "T1" JOIN "party" AS "T2" ON "T1"."Party" = "T2"."Party_ID" GROUP BY "T2"."Party"
| 0.137695 |
CREATE TABLE table_204_328 (id DECIMAL, "no." DECIMAL, "date" TEXT, "tournament" TEXT, "winning score" TEXT, "margin of\ victory" TEXT, "runner ( s ) -up" TEXT)
|
what is the number of tournaments listed on the chart ?
|
SELECT COUNT("tournament") FROM table_204_328
|
SELECT COUNT("tournament") FROM "table_204_328"
| 0.045898 |
CREATE TABLE table_203_408 (id DECIMAL, "rd." DECIMAL, "grand prix" TEXT, "date" TEXT, "location" TEXT, "pole position" TEXT, "fastest lap" TEXT, "winning driver" TEXT, "constructor" TEXT, "report" TEXT)
|
what is the total number of times ayrton senna has held the pole position ?
|
SELECT COUNT(*) FROM table_203_408 WHERE "pole position" = 'ayrton senna'
|
SELECT COUNT(*) FROM "table_203_408" WHERE "pole position" = 'ayrton senna'
| 0.073242 |
CREATE TABLE table_name_89 (goals VARCHAR, player VARCHAR)
|
How many Goals did Matt Cook have?
|
SELECT goals FROM table_name_89 WHERE player = "matt cook"
|
SELECT "goals" FROM "table_name_89" WHERE "matt cook" = "player"
| 0.0625 |
CREATE TABLE table_68411 ("Res." TEXT, "Record" TEXT, "Opponent" TEXT, "Method" TEXT, "Round" FLOAT, "Time" TEXT, "Location" TEXT)
|
Which round did the bout against Jonatas Novaes end in?
|
SELECT "Round" FROM table_68411 WHERE "Opponent" = 'jonatas novaes'
|
SELECT "Round" FROM "table_68411" WHERE "Opponent" = 'jonatas novaes'
| 0.067383 |
CREATE TABLE table_35577 ("Date" TEXT, "Territory" TEXT, "Screens" FLOAT, "Rank" FLOAT, "Gross" TEXT)
|
What is the territory with 17 screens?
|
SELECT "Territory" FROM table_35577 WHERE "Screens" = '17'
|
SELECT "Territory" FROM "table_35577" WHERE "Screens" = '17'
| 0.058594 |
CREATE TABLE table_1745843_5 (part_1 VARCHAR, part_4 VARCHAR)
|
What is the 1st participle of the verb whose 4th participle is haitans?
|
SELECT part_1 FROM table_1745843_5 WHERE part_4 = "haitans"
|
SELECT "part_1" FROM "table_1745843_5" WHERE "haitans" = "part_4"
| 0.063477 |
CREATE TABLE table_16945 ("Date" TEXT, "Tournament" TEXT, "Location" TEXT, "Purse ( $ ) " FLOAT, "Winner" TEXT, "Score" TEXT, "1st Prize ( $ ) " FLOAT)
|
what is the minimum purse( $ ) where tournament is ko olina senior invitational
|
SELECT MIN("Purse( $ )") FROM table_16945 WHERE "Tournament" = 'Ko Olina Senior Invitational'
|
SELECT MIN("Purse( $ )") FROM "table_16945" WHERE "Tournament" = 'Ko Olina Senior Invitational'
| 0.092773 |
CREATE TABLE table_20331 ("No." FLOAT, "Name" TEXT, "Livery" TEXT, "Locomotive type" TEXT, "Wheel Arrangement" TEXT, "Builder" TEXT, "Year built" FLOAT, "Status" TEXT)
|
How many locomotives have a livery that is highland railway green
|
SELECT COUNT("Name") FROM table_20331 WHERE "Livery" = 'Highland Railway green'
|
SELECT COUNT("Name") FROM "table_20331" WHERE "Livery" = 'Highland Railway green'
| 0.079102 |
CREATE TABLE table_30058355_3 (tues_23_aug VARCHAR, thurs_25_aug VARCHAR)
|
What is every entry for Tuesday August 23 when Thursday August 25 is 24' 31.87 92.282mph?
|
SELECT tues_23_aug FROM table_30058355_3 WHERE thurs_25_aug = "24' 31.87 92.282mph"
|
SELECT "tues_23_aug" FROM "table_30058355_3" WHERE "24' 31.87 92.282mph" = "thurs_25_aug"
| 0.086914 |
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 prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
count the number of patients who died of pituatary bleed.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.expire_flag = "1" AND demographic.diagnosis = "PITUITARY BLEED"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "1" = "demographic"."expire_flag" AND "PITUITARY BLEED" = "demographic"."diagnosis"
| 0.154297 |
CREATE TABLE table_2523809_1 (branding VARCHAR, channel VARCHAR)
|
List the branding name for channel tv-62.
|
SELECT branding FROM table_2523809_1 WHERE channel = "TV-62"
|
SELECT "branding" FROM "table_2523809_1" WHERE "TV-62" = "channel"
| 0.064453 |
CREATE TABLE table_47626 ("Year" FLOAT, "Winner" TEXT, "Runners-up" TEXT, "Aggregate" TEXT, "1st leg" TEXT, "2nd leg" TEXT)
|
What was the 2nd leg for 2004?
|
SELECT "2nd leg" FROM table_47626 WHERE "Year" = '2004'
|
SELECT "2nd leg" FROM "table_47626" WHERE "Year" = '2004'
| 0.055664 |
CREATE TABLE table_73934 ("Represents" TEXT, "Contestant" TEXT, "Age" FLOAT, "Height ( cm ) " TEXT, "Height ( ft ) " TEXT, "Hometown" TEXT)
|
Name the total number of represents for clary sermina delgado cid
|
SELECT COUNT("Represents") FROM table_73934 WHERE "Contestant" = 'Clary Sermina Delgado Cid'
|
SELECT COUNT("Represents") FROM "table_73934" WHERE "Contestant" = 'Clary Sermina Delgado Cid'
| 0.091797 |
CREATE TABLE table_27902 ("Urban settlement" TEXT, "Cyrillic Name" TEXT, "City / municipality" TEXT, "District" TEXT, "Population ( 1991 ) " FLOAT, "Population ( 2002 ) " FLOAT, "Population ( 2011 ) " FLOAT)
|
What was the urban settlement when the city / municipality was kovin?
|
SELECT "Urban settlement" FROM table_27902 WHERE "City / municipality" = 'Kovin'
|
SELECT "Urban settlement" FROM "table_27902" WHERE "City / municipality" = 'Kovin'
| 0.080078 |
CREATE TABLE table_dev_58 ("id" INT, "gender" TEXT, "pregnancy_or_lactation" BOOLEAN, "intra_aortic_balloon_pump_iabp" BOOLEAN, "systemic_arterial_po2" INT, "creatinine_clearance_cl" FLOAT, "supplemental_oxygen" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
|
male or female 18 _ 80 years of age
|
SELECT * FROM table_dev_58 WHERE (gender = 'male' OR gender = 'female') AND (age >= 18 AND age <= 80)
|
SELECT * FROM "table_dev_58" WHERE "age" <= 80 AND "age" >= 18 AND ("gender" = 'female' OR "gender" = 'male')
| 0.106445 |
CREATE TABLE table_5491 ("Date" TEXT, "Tournament" TEXT, "Winning score" TEXT, "To par" TEXT, "Margin of victory" TEXT)
|
Which Tournament has a Margin of victory of 1 stroke, and a Date of oct 7, 1990?
|
SELECT "Tournament" FROM table_5491 WHERE "Margin of victory" = '1 stroke' AND "Date" = 'oct 7, 1990'
|
SELECT "Tournament" FROM "table_5491" WHERE "Date" = 'oct 7, 1990' AND "Margin of victory" = '1 stroke'
| 0.100586 |
CREATE TABLE table_2676980_4 (seats_in_congress VARCHAR, electoral_district VARCHAR)
|
What is the number of seats in congress when the electoral district is Ucayali?
|
SELECT COUNT(seats_in_congress) FROM table_2676980_4 WHERE electoral_district = "Ucayali"
|
SELECT COUNT("seats_in_congress") FROM "table_2676980_4" WHERE "Ucayali" = "electoral_district"
| 0.092773 |
CREATE TABLE table_51933 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
|
what is the grid when the laps is more than 0, the time/retired is engine and the driver is pedro de la rosa?
|
SELECT "Grid" FROM table_51933 WHERE "Laps" > '0' AND "Time/Retired" = 'engine' AND "Driver" = 'pedro de la rosa'
|
SELECT "Grid" FROM "table_51933" WHERE "Driver" = 'pedro de la rosa' AND "Laps" > '0' AND "Time/Retired" = 'engine'
| 0.112305 |
CREATE TABLE table_34659 ("Year" FLOAT, "Class" TEXT, "Team" TEXT, "Points" FLOAT, "Wins" FLOAT)
|
Class of 125cc, and a Year smaller than 1966 had what lowest wins?
|
SELECT MIN("Wins") FROM table_34659 WHERE "Class" = '125cc' AND "Year" < '1966'
|
SELECT MIN("Wins") FROM "table_34659" WHERE "Class" = '125cc' AND "Year" < '1966'
| 0.079102 |
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
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 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 PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange 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 Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId 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 PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
|
Row_Number | Find the first occurrence in a series.
|
SELECT U.DisplayName, COALESCE(P.Title, 'Unknown') AS "TITLE", CASE WHEN (ROW_NUMBER() OVER (PARTITION BY U.Id ORDER BY P.CreationDate DESC)) = 1 THEN 'Y' ELSE 'N' END AS "FIRST POST?", p.CreationDate FROM Posts AS P INNER JOIN Users AS U ON P.OwnerUserId = U.Id AND P.OwnerUserId IN (610455, 174910)
|
SELECT "U"."DisplayName", COALESCE("P"."Title", 'Unknown') AS "TITLE", CASE WHEN ROW_NUMBER() OVER (PARTITION BY "U"."Id" ORDER BY "P"."CreationDate" DESC NULLS LAST) = 1 THEN 'Y' ELSE 'N' END AS "FIRST POST?", "p"."CreationDate" FROM "Posts" AS "P" JOIN "Users" AS "U" ON "P"."OwnerUserId" = "U"."Id" AND "P"."OwnerUserId" IN (610455, 174910)
| 0.334961 |
CREATE TABLE diagnoses_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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom 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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
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 d_icd_diagnoses (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 cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost 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_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 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 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)
|
until 2 years ago what are the five most common medications prescribed to patients within 2 months after receiving packed cell transfusion?
|
SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, procedures_icd.charttime 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 = 'packed cell transfusion') AND DATETIME(procedures_icd.charttime) <= DATETIME(CURRENT_TIME(), '-2 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE DATETIME(prescriptions.startdate) <= DATETIME(CURRENT_TIME(), '-2 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND DATETIME(t2.startdate) BETWEEN DATETIME(t1.charttime) AND DATETIME(t1.charttime, '+2 month') GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 5
|
WITH "t2" AS (SELECT "admissions"."subject_id", "prescriptions"."drug", "prescriptions"."startdate" FROM "prescriptions" JOIN "admissions" ON "admissions"."hadm_id" = "prescriptions"."hadm_id" WHERE DATETIME("prescriptions"."startdate") <= DATETIME(CURRENT_TIME(), '-2 year')), "t3" AS (SELECT "t2"."drug", 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" = 'packed cell transfusion' JOIN "admissions" ON "admissions"."hadm_id" = "procedures_icd"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "procedures_icd"."charttime" < "t2"."startdate" AND DATETIME("procedures_icd"."charttime") <= DATETIME("t2"."startdate") AND DATETIME("procedures_icd"."charttime", '+2 month') >= DATETIME("t2"."startdate") WHERE DATETIME("procedures_icd"."charttime") <= DATETIME(CURRENT_TIME(), '-2 year') GROUP BY "t2"."drug") SELECT "t3"."drug" FROM "t3" AS "t3" WHERE "t3"."c1" <= 5
| 1.033203 |
CREATE TABLE table_name_90 (district VARCHAR, first_elected VARCHAR, party VARCHAR, results VARCHAR)
|
What Republican District had Incumbent First Elected in 2000 then Re-elected?
|
SELECT district FROM table_name_90 WHERE party = "republican" AND results = "re-elected" AND first_elected = 2000
|
SELECT "district" FROM "table_name_90" WHERE "first_elected" = 2000 AND "party" = "republican" AND "re-elected" = "results"
| 0.120117 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
what is primary disease of subject name jerry deberry?
|
SELECT demographic.diagnosis FROM demographic WHERE demographic.name = "Jerry Deberry"
|
SELECT "demographic"."diagnosis" FROM "demographic" WHERE "Jerry Deberry" = "demographic"."name"
| 0.09375 |
CREATE TABLE table_58885 ("Circuit" TEXT, "City / State" TEXT, "Date" TEXT, "Winner" TEXT, "Team" TEXT)
|
What is Winner, when City / State is 'Mallala , South Australia', and when Team is 'Elfin Sports Cars'?
|
SELECT "Winner" FROM table_58885 WHERE "City / State" = 'mallala , south australia' AND "Team" = 'elfin sports cars'
|
SELECT "Winner" FROM "table_58885" WHERE "City / State" = 'mallala , south australia' AND "Team" = 'elfin sports cars'
| 0.115234 |
CREATE TABLE table_40389 ("School year" TEXT, "95-96" TEXT, "99-00" TEXT, "00-01" TEXT, "01-02" TEXT, "02-03" TEXT, "03-04" TEXT, "04-05" TEXT, "05-06" TEXT, "06-07" TEXT)
|
What is 03-04, when 00-01 is 67.4?
|
SELECT "03-04" FROM table_40389 WHERE "00-01" = '67.4'
|
SELECT "03-04" FROM "table_40389" WHERE "00-01" = '67.4'
| 0.054688 |
CREATE TABLE Reservations (Code INT, Room TEXT, CheckIn TEXT, CheckOut TEXT, Rate FLOAT, LastName TEXT, FirstName TEXT, Adults INT, Kids INT)
CREATE TABLE Rooms (RoomId TEXT, roomName TEXT, beds INT, bedType TEXT, maxOccupancy INT, basePrice INT, decor TEXT)
|
Show me a scatter plot of avg(baseprice) and minimal baseprice for .
|
SELECT AVG(basePrice), MIN(basePrice) FROM Rooms GROUP BY decor
|
SELECT AVG("basePrice"), MIN("basePrice") FROM "Rooms" GROUP BY "decor"
| 0.069336 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE 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)
|
provide the number of patients whose admission type is urgent and procedure long title is percutaneous aspiration of liver?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "URGENT" AND procedures.long_title = "Percutaneous aspiration of liver"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Percutaneous aspiration of liver" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "URGENT" = "demographic"."admission_type"
| 0.24707 |
CREATE TABLE table_58090 ("Date" TEXT, "Venue" TEXT, "Opposition" TEXT, "Score" TEXT, "Competition" TEXT)
|
Who is the opposition on the division 1 game at Stamford Bridge?
|
SELECT "Opposition" FROM table_58090 WHERE "Competition" = 'division 1' AND "Venue" = 'stamford bridge'
|
SELECT "Opposition" FROM "table_58090" WHERE "Competition" = 'division 1' AND "Venue" = 'stamford bridge'
| 0.102539 |
CREATE TABLE table_name_32 (music VARCHAR, points_jury VARCHAR)
|
Which Music has a Points Jury of 18 (5,5,4,4)?
|
SELECT music FROM table_name_32 WHERE points_jury = "18 (5,5,4,4)"
|
SELECT "music" FROM "table_name_32" WHERE "18 (5,5,4,4)" = "points_jury"
| 0.070313 |
CREATE TABLE table_23449 ("Index ( Year ) " TEXT, "Author / Editor / Source" TEXT, "Year of publication" TEXT, "Countries sampled" FLOAT, "World Ranking ( 1 ) " TEXT, "Ranking L.A. ( 2 ) " TEXT)
|
How many years were recorded when world ranking was 21st?
|
SELECT COUNT("Index (Year)") FROM table_23449 WHERE "World Ranking (1)" = '21st'
|
SELECT COUNT("Index (Year)") FROM "table_23449" WHERE "World Ranking (1)" = '21st'
| 0.080078 |
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare 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 airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE 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 restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
|
what is the cheapest flight from PITTSBURGH to ATLANTA
|
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, fare, flight, flight_fare WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, fare AS FAREalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'PITTSBURGH' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'ATLANTA' AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id
|
WITH "_u_0" AS (SELECT MIN("FAREalias1"."one_direction_cost") FROM "airport_service" AS "AIRPORT_SERVICEalias2" JOIN "city" AS "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'PITTSBURGH' JOIN "flight" AS "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "flight_fare" AS "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" AS "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'ATLANTA' JOIN "fare" AS "FAREalias1" ON "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id") 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" = 'PITTSBURGH' 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 "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ATLANTA' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "fare"."one_direction_cost"
| 1.473633 |
CREATE TABLE table_name_63 (competition VARCHAR, date VARCHAR)
|
Which competition took place on October 11, 2006?
|
SELECT competition FROM table_name_63 WHERE date = "october 11, 2006"
|
SELECT "competition" FROM "table_name_63" WHERE "date" = "october 11, 2006"
| 0.073242 |
CREATE TABLE table_77167 ("Game" TEXT, "Date" TEXT, "Home Team" TEXT, "Result" TEXT, "Road Team" TEXT)
|
What is the Result of Game 3?
|
SELECT "Result" FROM table_77167 WHERE "Game" = 'game 3'
|
SELECT "Result" FROM "table_77167" WHERE "Game" = 'game 3'
| 0.056641 |
CREATE TABLE has_allergy (stuid DECIMAL, allergy TEXT)
CREATE TABLE allergy_type (allergy TEXT, allergytype TEXT)
CREATE TABLE student (stuid DECIMAL, lname TEXT, fname TEXT, age DECIMAL, sex TEXT, major DECIMAL, advisor DECIMAL, city_code TEXT)
|
Show all student IDs who have at least two allergies.
|
SELECT stuid FROM has_allergy GROUP BY stuid HAVING COUNT(*) >= 2
|
SELECT "stuid" FROM "has_allergy" GROUP BY "stuid" HAVING COUNT(*) >= 2
| 0.069336 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
give me the number of patients whose year of birth is less than 2146?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.dob_year < "2146"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2146" > "demographic"."dob_year"
| 0.105469 |
CREATE TABLE premises (premises_type VARCHAR)
|
What are all the distinct premise types?
|
SELECT DISTINCT premises_type FROM premises
|
SELECT DISTINCT "premises_type" FROM "premises"
| 0.045898 |
CREATE TABLE table_71934 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" FLOAT, "To par" TEXT)
|
With a score smaller than 71 along with a place of t6, what is the To par score?
|
SELECT "To par" FROM table_71934 WHERE "Score" < '71' AND "Place" = 't6'
|
SELECT "To par" FROM "table_71934" WHERE "Place" = 't6' AND "Score" < '71'
| 0.072266 |
CREATE TABLE Participants (Participant_ID INT, Participant_Type_Code CHAR, Participant_Details VARCHAR)
CREATE TABLE Services (Service_ID INT, Service_Type_Code CHAR)
CREATE TABLE Events (Event_ID INT, Service_ID INT, Event_Details VARCHAR)
CREATE TABLE Participants_in_Events (Event_ID INT, Participant_ID INT)
|
Compare the number of participants in each participant type code using a bar chart, order from low to high by the X-axis please.
|
SELECT Participant_Type_Code, COUNT(Participant_Type_Code) FROM Participants GROUP BY Participant_Type_Code ORDER BY Participant_Type_Code
|
SELECT "Participant_Type_Code", COUNT("Participant_Type_Code") FROM "Participants" GROUP BY "Participant_Type_Code" ORDER BY "Participant_Type_Code" NULLS FIRST
| 0.15625 |
CREATE TABLE table_name_52 (Id VARCHAR)
|
What were the 2009 results that has 0 in 2010?
|
SELECT 2009 FROM table_name_52 WHERE 2010 = "0"
|
SELECT 2009 FROM "table_name_52" WHERE "0" = 2010
| 0.047852 |
CREATE TABLE enzyme (id DECIMAL, name TEXT, location TEXT, product TEXT, chromosome TEXT, omim DECIMAL, porphyria TEXT)
CREATE TABLE medicine_enzyme_interaction (enzyme_id DECIMAL, medicine_id DECIMAL, interaction_type TEXT)
CREATE TABLE medicine (id DECIMAL, name TEXT, trade_name TEXT, fda_approved TEXT)
|
What is the product, chromosome and porphyria related to the enzymes which take effect at the location 'Cytosol'?
|
SELECT product, chromosome, porphyria FROM enzyme WHERE location = 'Cytosol'
|
SELECT "product", "chromosome", "porphyria" FROM "enzyme" WHERE "location" = 'Cytosol'
| 0.083984 |
CREATE TABLE table_name_12 (opponent VARCHAR, date VARCHAR, venue VARCHAR, result VARCHAR)
|
Which Opponent has a Venue of h, and a Result of 0 1, and a Date of 29 august 1998?
|
SELECT opponent FROM table_name_12 WHERE venue = "h" AND result = "0–1" AND date = "29 august 1998"
|
SELECT "opponent" FROM "table_name_12" WHERE "0–1" = "result" AND "29 august 1998" = "date" AND "h" = "venue"
| 0.106445 |
CREATE TABLE student (stuid DECIMAL, lname TEXT, fname TEXT, age DECIMAL, sex TEXT, major DECIMAL, advisor DECIMAL, city_code TEXT)
CREATE TABLE has_allergy (stuid DECIMAL, allergy TEXT)
CREATE TABLE allergy_type (allergy TEXT, allergytype TEXT)
|
What are the allergies the girl named Lisa has? And what are the types of them? Order the result by allergy names.
|
SELECT T1.allergy, T1.allergytype FROM allergy_type AS T1 JOIN has_allergy AS T2 ON T1.allergy = T2.allergy JOIN student AS T3 ON T3.stuid = T2.stuid WHERE T3.fname = "Lisa" ORDER BY T1.allergy
|
SELECT "T1"."allergy", "T1"."allergytype" FROM "allergy_type" AS "T1" JOIN "has_allergy" AS "T2" ON "T1"."allergy" = "T2"."allergy" JOIN "student" AS "T3" ON "Lisa" = "T3"."fname" AND "T2"."stuid" = "T3"."stuid" ORDER BY "T1"."allergy" NULLS FIRST
| 0.241211 |
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 microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE 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 allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
|
tell me the top five most common diagnoses in patients in the age of 60 or above?
|
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 >= 60) GROUP BY diagnosis.diagnosisname) AS t1 WHERE t1.c1 <= 5
|
WITH "_u_0" AS (SELECT "patient"."patientunitstayid" FROM "patient" WHERE "patient"."age" >= 60 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 NOT "_u_0"."" IS NULL GROUP BY "diagnosis"."diagnosisname") SELECT "t1"."diagnosisname" FROM "t1" AS "t1" WHERE "t1"."c1" <= 5
| 0.446289 |
CREATE TABLE table_864 ("Year ( Ceremony ) " TEXT, "Film title" TEXT, "Language ( s ) " TEXT, "Director" TEXT, "Result" TEXT)
|
What are all the languages for tsotsi?
|
SELECT "Language(s)" FROM table_864 WHERE "Film title" = 'Tsotsi'
|
SELECT "Language(s)" FROM "table_864" WHERE "Film title" = 'Tsotsi'
| 0.06543 |
CREATE TABLE table_905 ("No. in series" TEXT, "No. in season" TEXT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Storyboarded by" TEXT, "Original air date" TEXT, "Production code" TEXT)
|
What's the production code of the episode with a series number 37b?
|
SELECT "Production code" FROM table_905 WHERE "No. in series" = '37b'
|
SELECT "Production code" FROM "table_905" WHERE "No. in series" = '37b'
| 0.069336 |
CREATE TABLE table_72144 ("Pick #" FLOAT, "CFL Team" TEXT, "Player" TEXT, "Position" TEXT, "College" TEXT)
|
Which player from the 2004 CFL draft attended Wilfrid Laurier?
|
SELECT "Player" FROM table_72144 WHERE "College" = 'Wilfrid Laurier'
|
SELECT "Player" FROM "table_72144" WHERE "College" = 'Wilfrid Laurier'
| 0.068359 |
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 patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod 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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
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 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 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 d_icd_procedures (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 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 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)
|
were docusate sodium, potassium chloride or spironolactone prescribed to patient 61527 the previous year?
|
SELECT COUNT(*) > 0 FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 61527) AND prescriptions.drug IN ('docusate sodium', 'potassium chloride', 'spironolactone') AND DATETIME(prescriptions.startdate, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year')
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 61527 GROUP BY "hadm_id") SELECT COUNT(*) > 0 FROM "prescriptions" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "prescriptions"."hadm_id" WHERE "prescriptions"."drug" IN ('docusate sodium', 'potassium chloride', 'spironolactone') AND DATETIME("prescriptions"."startdate", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_0"."" IS NULL
| 0.453125 |
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 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)
|
how many patients that survived were diagnosed with primary disease syncope, telemetry?
|
SELECT AVG(demographic.age) FROM demographic WHERE demographic.expire_flag = "0" AND demographic.diagnosis = "SYNCOPE;TELEMETRY"
|
SELECT AVG("demographic"."age") FROM "demographic" WHERE "0" = "demographic"."expire_flag" AND "SYNCOPE;TELEMETRY" = "demographic"."diagnosis"
| 0.138672 |
CREATE TABLE table_34936 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Ground" TEXT, "Crowd" FLOAT, "Date" TEXT, "Report" TEXT)
|
What was the away team score when the home team was the Brisbane Lions?
|
SELECT "Away team score" FROM table_34936 WHERE "Home team" = 'brisbane lions'
|
SELECT "Away team score" FROM "table_34936" WHERE "Home team" = 'brisbane lions'
| 0.078125 |
CREATE TABLE table_50404 ("Rank" FLOAT, "Player" TEXT, "Years" TEXT, "Games" FLOAT, "Ast. Avg." FLOAT, "Total Assists" FLOAT)
|
WHAT IS THE SUM OF AST AVG WITH RANK 5 AND GAMES BIGGER THAN 108?
|
SELECT SUM("Ast. Avg.") FROM table_50404 WHERE "Rank" = '5' AND "Games" > '108'
|
SELECT SUM("Ast. Avg.") FROM "table_50404" WHERE "Games" > '108' AND "Rank" = '5'
| 0.079102 |
CREATE TABLE table_203_54 (id DECIMAL, "selected\ latin american\ countries" TEXT, "internl.\ tourism\ arrivals\ 2010\ ( x 1000 ) " DECIMAL, "internl.\ tourism\ receipts.\ 2010\ ( usd\ ( x1000 ) " DECIMAL, "average\ receipt\ per visitor\ 2009\ ( usd/turista ) " DECIMAL, "tourist\ arrivals\ per\ 1000 inhab\ ( estimated ) \ 2007" DECIMAL, "receipts\ per\ capita\ 2005\ usd" DECIMAL, "revenues\ as %\ exports of\ goods and\ services\ 2003" DECIMAL, "tourism\ income\ %\ gdp\ 2003" DECIMAL, "% direct and\ indirect\ employment\ in tourism\ 2005" DECIMAL, "world\ ranking\ tourism\ competitiv.\ ttci\ 2011" DECIMAL, "2011\ ttci\ index" DECIMAL)
|
how many dollars on average did brazil receive per tourist in 2009 ?
|
SELECT "average\nreceipt\nper visitor\n2009\n(usd/turista)" FROM table_203_54 WHERE "selected\nlatin american\ncountries" = 'brazil'
|
SELECT "average\nreceipt\nper visitor\n2009\n(usd/turista)" FROM "table_203_54" WHERE "selected\nlatin american\ncountries" = 'brazil'
| 0.130859 |
CREATE TABLE table_name_71 (laps INT, grid VARCHAR, manufacturer VARCHAR, rider VARCHAR)
|
What is the average laps when the manufacturer is yamaha, and the rider is garry mccoy and the grid is smaller than 4?
|
SELECT AVG(laps) FROM table_name_71 WHERE manufacturer = "yamaha" AND rider = "garry mccoy" AND grid < 4
|
SELECT AVG("laps") FROM "table_name_71" WHERE "garry mccoy" = "rider" AND "grid" < 4 AND "manufacturer" = "yamaha"
| 0.111328 |
CREATE TABLE Courses (course_id INT, author_id INT, subject_id INT, course_name VARCHAR, course_description VARCHAR)
CREATE TABLE Student_Tests_Taken (registration_id INT, date_test_taken DATETIME, test_result VARCHAR)
CREATE TABLE Student_Course_Enrolment (registration_id INT, student_id INT, course_id INT, date_of_enrolment DATETIME, date_of_completion DATETIME)
CREATE TABLE Subjects (subject_id INT, subject_name VARCHAR)
CREATE TABLE Students (student_id INT, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR, password VARCHAR, personal_name VARCHAR, middle_name VARCHAR, family_name VARCHAR)
CREATE TABLE Course_Authors_and_Tutors (author_id INT, author_tutor_ATB VARCHAR, login_name VARCHAR, password VARCHAR, personal_name VARCHAR, middle_name VARCHAR, family_name VARCHAR, gender_mf VARCHAR, address_line_1 VARCHAR)
|
Return a scatter chart about the correlation between author_id and author_tutor_ATB .
|
SELECT author_id, author_tutor_ATB FROM Course_Authors_and_Tutors ORDER BY personal_name
|
SELECT "author_id", "author_tutor_ATB" FROM "Course_Authors_and_Tutors" ORDER BY "personal_name" NULLS FIRST
| 0.105469 |
CREATE TABLE table_203_699 (id DECIMAL, "name" TEXT, "parentage" TEXT, "size" TEXT, "flower colour" TEXT, "flower type" TEXT)
|
what is the total number of cultivars listed on the table ?
|
SELECT COUNT("name") FROM table_203_699
|
SELECT COUNT("name") FROM "table_203_699"
| 0.040039 |
CREATE TABLE table_13456202_1 (affiliation VARCHAR, mascot VARCHAR)
|
How many teams have an eagles mascot?
|
SELECT COUNT(affiliation) FROM table_13456202_1 WHERE mascot = "Eagles"
|
SELECT COUNT("affiliation") FROM "table_13456202_1" WHERE "Eagles" = "mascot"
| 0.075195 |
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt 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 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 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 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 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 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 food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE 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 state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE month (month_number INT, month_name 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)
|
what is the cheapest flight from BOSTON to ATLANTA
|
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, fare, flight, flight_fare WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND fare.one_direction_cost = (SELECT MIN(FAREalias1.one_direction_cost) FROM airport_service AS AIRPORT_SERVICEalias2, airport_service AS AIRPORT_SERVICEalias3, city AS CITYalias2, city AS CITYalias3, fare AS FAREalias1, flight AS FLIGHTalias1, flight_fare AS FLIGHT_FAREalias1 WHERE CITYalias2.city_code = AIRPORT_SERVICEalias2.city_code AND CITYalias2.city_name = 'BOSTON' AND CITYalias3.city_code = AIRPORT_SERVICEalias3.city_code AND CITYalias3.city_name = 'ATLANTA' AND FLIGHT_FAREalias1.fare_id = FAREalias1.fare_id AND FLIGHTalias1.flight_id = FLIGHT_FAREalias1.flight_id AND FLIGHTalias1.from_airport = AIRPORT_SERVICEalias2.airport_code AND FLIGHTalias1.to_airport = AIRPORT_SERVICEalias3.airport_code) AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id
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WITH "_u_0" AS (SELECT MIN("FAREalias1"."one_direction_cost") FROM "airport_service" AS "AIRPORT_SERVICEalias2" JOIN "city" AS "CITYalias2" ON "AIRPORT_SERVICEalias2"."city_code" = "CITYalias2"."city_code" AND "CITYalias2"."city_name" = 'BOSTON' JOIN "flight" AS "FLIGHTalias1" ON "AIRPORT_SERVICEalias2"."airport_code" = "FLIGHTalias1"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICEalias3" ON "AIRPORT_SERVICEalias3"."airport_code" = "FLIGHTalias1"."to_airport" JOIN "flight_fare" AS "FLIGHT_FAREalias1" ON "FLIGHT_FAREalias1"."flight_id" = "FLIGHTalias1"."flight_id" JOIN "city" AS "CITYalias3" ON "AIRPORT_SERVICEalias3"."city_code" = "CITYalias3"."city_code" AND "CITYalias3"."city_name" = 'ATLANTA' JOIN "fare" AS "FAREalias1" ON "FAREalias1"."fare_id" = "FLIGHT_FAREalias1"."fare_id") 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" = 'BOSTON' 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 "flight_fare" ON "flight"."flight_id" = "flight_fare"."flight_id" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ATLANTA' JOIN "fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "fare"."one_direction_cost"
| 1.46582 |
CREATE TABLE table_9609 ("Missouri vs." TEXT, "Overall Record" TEXT, "at Columbia" TEXT, "at Opponent's Venue" TEXT, "at Neutral Site" TEXT, "Last 5 Meetings" TEXT, "Last 10 Meetings" TEXT, "Current Streak" TEXT, "During Time in Big 12" TEXT)
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What is the record for the last 10 meetings when the overall record is *as of March 14, 2013?
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SELECT "Last 10 Meetings" FROM table_9609 WHERE "Overall Record" = '*as of march 14, 2013'
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SELECT "Last 10 Meetings" FROM "table_9609" WHERE "Overall Record" = '*as of march 14, 2013'
| 0.089844 |
CREATE TABLE table_1341598_22 (result VARCHAR, incumbent VARCHAR)
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What is the result for barney frank?
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SELECT result FROM table_1341598_22 WHERE incumbent = "Barney Frank"
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SELECT "result" FROM "table_1341598_22" WHERE "Barney Frank" = "incumbent"
| 0.072266 |
CREATE TABLE table_26429658_1 (title VARCHAR, production_code VARCHAR)
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What was the title of the episode with a production code of 2010?
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SELECT title FROM table_26429658_1 WHERE production_code = 2010
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SELECT "title" FROM "table_26429658_1" WHERE "production_code" = 2010
| 0.067383 |
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)
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what is the maximum days of hospital stay of patients whose primary disease is pituitary bleed?
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SELECT MAX(demographic.days_stay) FROM demographic WHERE demographic.diagnosis = "PITUITARY BLEED"
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SELECT MAX("demographic"."days_stay") FROM "demographic" WHERE "PITUITARY BLEED" = "demographic"."diagnosis"
| 0.105469 |
CREATE TABLE table_47657 ("Nat." TEXT, "Name" TEXT, "Since" TEXT, "Goals" FLOAT, "Ends" TEXT, "Transfer fee" TEXT)
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What is Name, when Goals is greater than 14, and when Transfer Fee is 'Youth System'?
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SELECT "Name" FROM table_47657 WHERE "Goals" > '14' AND "Transfer fee" = 'youth system'
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SELECT "Name" FROM "table_47657" WHERE "Goals" > '14' AND "Transfer fee" = 'youth system'
| 0.086914 |
CREATE TABLE table_13957 ("Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Opponent in final" TEXT, "Score" TEXT, "Prize Money" TEXT)
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What is the Score of the Pingguo Tournament?
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SELECT "Score" FROM table_13957 WHERE "Tournament" = 'pingguo'
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SELECT "Score" FROM "table_13957" WHERE "Tournament" = 'pingguo'
| 0.0625 |
CREATE TABLE table_44436 ("Team" TEXT, "Outgoing manager" TEXT, "Manner of departure" TEXT, "Date of vacancy" TEXT, "Replaced by" TEXT, "Date of appointment" TEXT, "Position in table" TEXT)
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What is the appointment day for 4 December 2008 vacancy?
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SELECT "Date of appointment" FROM table_44436 WHERE "Date of vacancy" = '4 december 2008'
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SELECT "Date of appointment" FROM "table_44436" WHERE "Date of vacancy" = '4 december 2008'
| 0.088867 |
CREATE TABLE wrestler (Wrestler_ID INT, Name TEXT, Reign TEXT, Days_held TEXT, Location TEXT, Event TEXT)
CREATE TABLE Elimination (Elimination_ID TEXT, Wrestler_ID TEXT, Team TEXT, Eliminated_By TEXT, Elimination_Move TEXT, Time TEXT)
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Show me the proportion on how many eliminations did each team have?
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SELECT Team, COUNT(*) FROM Elimination GROUP BY Team
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SELECT "Team", COUNT(*) FROM "Elimination" GROUP BY "Team"
| 0.056641 |
CREATE TABLE table_name_98 (year INT, engine VARCHAR)
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What is the earliest year that has a Bristol engine?
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SELECT MIN(year) FROM table_name_98 WHERE engine = "bristol"
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SELECT MIN("year") FROM "table_name_98" WHERE "bristol" = "engine"
| 0.064453 |
CREATE TABLE table_name_40 (week_2 VARCHAR, week_3 VARCHAR)
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What was the week 2 before Lara Leverence was week 3?
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SELECT week_2 FROM table_name_40 WHERE week_3 = "lara leverence"
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SELECT "week_2" FROM "table_name_40" WHERE "lara leverence" = "week_3"
| 0.068359 |
CREATE TABLE circuits (circuitId INT, circuitRef TEXT, name TEXT, location TEXT, country TEXT, lat FLOAT, lng FLOAT, alt TEXT, url TEXT)
CREATE TABLE status (statusId INT, status TEXT)
CREATE TABLE seasons (year INT, url TEXT)
CREATE TABLE pitStops (raceId INT, driverId INT, stop INT, lap INT, time TEXT, duration TEXT, milliseconds INT)
CREATE TABLE lapTimes (raceId INT, driverId INT, lap INT, position INT, time TEXT, milliseconds INT)
CREATE TABLE drivers (driverId INT, driverRef TEXT, number TEXT, code TEXT, forename TEXT, surname TEXT, dob TEXT, nationality TEXT, url TEXT)
CREATE TABLE constructors (constructorId INT, constructorRef TEXT, name TEXT, nationality TEXT, url TEXT)
CREATE TABLE constructorStandings (constructorStandingsId INT, raceId INT, constructorId INT, points FLOAT, position INT, positionText TEXT, wins INT)
CREATE TABLE driverStandings (driverStandingsId INT, raceId INT, driverId INT, points FLOAT, position INT, positionText TEXT, wins INT)
CREATE TABLE results (resultId INT, raceId INT, driverId INT, constructorId INT, number INT, grid INT, position TEXT, positionText TEXT, positionOrder INT, points FLOAT, laps TEXT, time TEXT, milliseconds TEXT, fastestLap TEXT, rank TEXT, fastestLapTime TEXT, fastestLapSpeed TEXT, statusId INT)
CREATE TABLE races (raceId INT, year INT, round INT, circuitId INT, name TEXT, date TEXT, time TEXT, url TEXT)
CREATE TABLE qualifying (qualifyId INT, raceId INT, driverId INT, constructorId INT, number INT, position INT, q1 TEXT, q2 TEXT, q3 TEXT)
CREATE TABLE constructorResults (constructorResultsId INT, raceId INT, constructorId INT, points FLOAT, status TEXT)
|
A bar chart for what are the number of the names of all the Japanese constructors that have earned more than 5 points?, and could you display X-axis in descending order please?
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SELECT name, COUNT(name) FROM constructors AS T1 JOIN constructorStandings AS T2 ON T1.constructorId = T2.constructorId WHERE T1.nationality = "Japanese" AND T2.points > 5 GROUP BY name ORDER BY name DESC
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SELECT "name", COUNT("name") FROM "constructors" AS "T1" JOIN "constructorStandings" AS "T2" ON "T1"."constructorId" = "T2"."constructorId" AND "T2"."points" > 5 WHERE "Japanese" = "T1"."nationality" GROUP BY "name" ORDER BY "name" DESC NULLS LAST
| 0.241211 |
CREATE TABLE table_57935 ("Pick" FLOAT, "Round" FLOAT, "Player" TEXT, "Position" TEXT, "School" TEXT)
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What was the pick number in round 228 for Mike Ford?
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SELECT MAX("Pick") FROM table_57935 WHERE "Player" = 'mike ford' AND "Round" > '228'
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SELECT MAX("Pick") FROM "table_57935" WHERE "Player" = 'mike ford' AND "Round" > '228'
| 0.083984 |
CREATE TABLE table_54222 ("Driver" TEXT, "Constructor" TEXT, "Laps" FLOAT, "Time/Retired" TEXT, "Grid" FLOAT)
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Which driver for Maserati has more laps than 23 and a grid greater than 7?
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SELECT "Driver" FROM table_54222 WHERE "Constructor" = 'maserati' AND "Laps" > '23' AND "Grid" > '7'
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SELECT "Driver" FROM "table_54222" WHERE "Constructor" = 'maserati' AND "Grid" > '7' AND "Laps" > '23'
| 0.099609 |
CREATE TABLE table_name_6 (opponent VARCHAR, date VARCHAR)
|
What was the opponent on november 8, 1981?
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SELECT opponent FROM table_name_6 WHERE date = "november 8, 1981"
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SELECT "opponent" FROM "table_name_6" WHERE "date" = "november 8, 1981"
| 0.069336 |
CREATE TABLE Fault_Log_Parts (fault_log_entry_id INT, part_fault_id INT, fault_status VARCHAR)
CREATE TABLE Engineer_Skills (engineer_id INT, skill_id INT)
CREATE TABLE Asset_Parts (asset_id INT, part_id INT)
CREATE TABLE Part_Faults (part_fault_id INT, part_id INT, fault_short_name VARCHAR, fault_description VARCHAR, other_fault_details VARCHAR)
CREATE TABLE Third_Party_Companies (company_id INT, company_type VARCHAR, company_name VARCHAR, company_address VARCHAR, other_company_details VARCHAR)
CREATE TABLE Maintenance_Contracts (maintenance_contract_id INT, maintenance_contract_company_id INT, contract_start_date DATETIME, contract_end_date DATETIME, other_contract_details VARCHAR)
CREATE TABLE Maintenance_Engineers (engineer_id INT, company_id INT, first_name VARCHAR, last_name VARCHAR, other_details VARCHAR)
CREATE TABLE Skills (skill_id INT, skill_code VARCHAR, skill_description VARCHAR)
CREATE TABLE Staff (staff_id INT, staff_name VARCHAR, gender VARCHAR, other_staff_details VARCHAR)
CREATE TABLE Assets (asset_id INT, maintenance_contract_id INT, supplier_company_id INT, asset_details VARCHAR, asset_make VARCHAR, asset_model VARCHAR, asset_acquired_date DATETIME, asset_disposed_date DATETIME, other_asset_details VARCHAR)
CREATE TABLE Parts (part_id INT, part_name VARCHAR, chargeable_yn VARCHAR, chargeable_amount VARCHAR, other_part_details VARCHAR)
CREATE TABLE Engineer_Visits (engineer_visit_id INT, contact_staff_id INT, engineer_id INT, fault_log_entry_id INT, fault_status VARCHAR, visit_start_datetime DATETIME, visit_end_datetime DATETIME, other_visit_details VARCHAR)
CREATE TABLE Skills_Required_To_Fix (part_fault_id INT, skill_id INT)
CREATE TABLE Fault_Log (fault_log_entry_id INT, asset_id INT, recorded_by_staff_id INT, fault_log_entry_datetime DATETIME, fault_description VARCHAR, other_fault_details VARCHAR)
|
How many staffs have contacted with each engineer? Give me a bar chart grouping by each engineer's first name, and could you list in asc by the X?
|
SELECT first_name, COUNT(first_name) FROM Staff AS T1 JOIN Engineer_Visits AS T2 ON T1.staff_id = T2.contact_staff_id JOIN Maintenance_Engineers AS T3 ON T2.engineer_id = T3.engineer_id GROUP BY first_name ORDER BY first_name
|
SELECT "first_name", COUNT("first_name") FROM "Staff" AS "T1" JOIN "Engineer_Visits" AS "T2" ON "T1"."staff_id" = "T2"."contact_staff_id" JOIN "Maintenance_Engineers" AS "T3" ON "T2"."engineer_id" = "T3"."engineer_id" GROUP BY "first_name" ORDER BY "first_name" NULLS FIRST
| 0.266602 |
CREATE TABLE cite (citingpaperid INT, citedpaperid INT)
CREATE TABLE journal (journalid INT, journalname VARCHAR)
CREATE TABLE venue (venueid INT, venuename VARCHAR)
CREATE TABLE paperfield (fieldid INT, paperid INT)
CREATE TABLE paperkeyphrase (paperid INT, keyphraseid INT)
CREATE TABLE paper (paperid INT, title VARCHAR, venueid INT, year INT, numciting INT, numcitedby INT, journalid INT)
CREATE TABLE dataset (datasetid INT, datasetname VARCHAR)
CREATE TABLE paperdataset (paperid INT, datasetid INT)
CREATE TABLE writes (paperid INT, authorid INT)
CREATE TABLE keyphrase (keyphraseid INT, keyphrasename VARCHAR)
CREATE TABLE author (authorid INT, authorname VARCHAR)
CREATE TABLE field (fieldid INT)
|
List papers that has keyword Temporal Correlation
|
SELECT DISTINCT paper.paperid FROM keyphrase, paper, paperkeyphrase WHERE keyphrase.keyphrasename = 'Temporal Correlation' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid
|
SELECT DISTINCT "paper"."paperid" FROM "keyphrase" JOIN "paperkeyphrase" ON "keyphrase"."keyphraseid" = "paperkeyphrase"."keyphraseid" JOIN "paper" ON "paper"."paperid" = "paperkeyphrase"."paperid" WHERE "keyphrase"."keyphrasename" = 'Temporal Correlation'
| 0.25 |
CREATE TABLE table_name_77 (award VARCHAR, result VARCHAR, nomination VARCHAR)
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Which award was won when the nomination was Senses Around?
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SELECT award FROM table_name_77 WHERE result = "won" AND nomination = "senses around"
|
SELECT "award" FROM "table_name_77" WHERE "nomination" = "senses around" AND "result" = "won"
| 0.09082 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE 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)
|
count the number of patients who are diagnosed with congenital stenosis of pulmonary valve and were admitted in hospital before 2184.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2184" AND diagnoses.long_title = "Stenosis of pulmonary valve, congenital"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Stenosis of pulmonary valve, congenital" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "2184" > "demographic"."admityear"
| 0.244141 |
CREATE TABLE table_name_84 (tries INT, player VARCHAR, points VARCHAR)
|
What is the smallest number of tries when Matt Diskin is the player and there are more than 16 points?
|
SELECT MIN(tries) FROM table_name_84 WHERE player = "matt diskin" AND points > 16
|
SELECT MIN("tries") FROM "table_name_84" WHERE "matt diskin" = "player" AND "points" > 16
| 0.086914 |
CREATE TABLE table_8350 ("Date" TEXT, "Region" TEXT, "Label" TEXT, "Catalogue" TEXT, "Format" TEXT)
|
What is the date for Bron 535 Catalog?
|
SELECT "Date" FROM table_8350 WHERE "Catalogue" = 'bron 535'
|
SELECT "Date" FROM "table_8350" WHERE "Catalogue" = 'bron 535'
| 0.060547 |
CREATE TABLE table_name_67 (rider VARCHAR, time VARCHAR, manufacturer VARCHAR, grid VARCHAR, laps VARCHAR)
|
What is Rider, when Grid is less than 16, when Laps is 21, when Manufacturer is Honda, and when Time is +10.583?
|
SELECT rider FROM table_name_67 WHERE grid < 16 AND laps = 21 AND manufacturer = "honda" AND time = "+10.583"
|
SELECT "rider" FROM "table_name_67" WHERE "+10.583" = "time" AND "grid" < 16 AND "honda" = "manufacturer" AND "laps" = 21
| 0.118164 |
CREATE TABLE table_19744915_22 (couple VARCHAR, vote_percentage VARCHAR)
|
What couple had vote percentage of 21.843%?
|
SELECT couple FROM table_19744915_22 WHERE vote_percentage = "21.843%"
|
SELECT "couple" FROM "table_19744915_22" WHERE "21.843%" = "vote_percentage"
| 0.074219 |
CREATE TABLE list (grade VARCHAR, classroom VARCHAR)
|
Find the grade studying in room 105.
|
SELECT DISTINCT grade FROM list WHERE classroom = 105
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SELECT DISTINCT "grade" FROM "list" WHERE "classroom" = 105
| 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 prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
what number of divorced patients have been daignosed with parapelgia?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.marital_status = "DIVORCED" AND diagnoses.long_title = "Paraplegia"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Paraplegia" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "DIVORCED" = "demographic"."marital_status"
| 0.224609 |
CREATE TABLE table_19617 ("DVD name" TEXT, "Episodes" FLOAT, "Region 1 ( CAN ) " TEXT, "Region 1 ( US ) " TEXT, "Region 2 ( FR ) " TEXT, "Region 4" TEXT)
|
How many episodes were put out in Region 4 on March 4, 2010?
|
SELECT MAX("Episodes") FROM table_19617 WHERE "Region 4" = 'March 4, 2010'
|
SELECT MAX("Episodes") FROM "table_19617" WHERE "Region 4" = 'March 4, 2010'
| 0.074219 |
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 d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE 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 labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE 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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount 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)
|
what is the average total hospital cost that includes the epithelial cells during the previous year?
|
SELECT AVG(t1.c1) FROM (SELECT SUM(cost.cost) AS c1 FROM cost WHERE cost.hadm_id IN (SELECT labevents.hadm_id FROM labevents WHERE labevents.itemid IN (SELECT d_labitems.itemid FROM d_labitems WHERE d_labitems.label = 'epithelial cells')) AND DATETIME(cost.chargetime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') GROUP BY cost.hadm_id) AS t1
|
WITH "_u_0" AS (SELECT "d_labitems"."itemid" FROM "d_labitems" WHERE "d_labitems"."label" = 'epithelial cells' GROUP BY "itemid"), "_u_1" AS (SELECT "labevents"."hadm_id" FROM "labevents" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "labevents"."itemid" WHERE NOT "_u_0"."" IS NULL GROUP BY "hadm_id"), "t1" AS (SELECT SUM("cost"."cost") AS "c1" FROM "cost" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "cost"."hadm_id" WHERE DATETIME("cost"."chargetime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT "_u_1"."" IS NULL GROUP BY "cost"."hadm_id") SELECT AVG("t1"."c1") FROM "t1" AS "t1"
| 0.599609 |
CREATE TABLE table_19112_3 (market_value__billion_$_ VARCHAR, company VARCHAR)
|
Name the market value for rhb capital
|
SELECT market_value__billion_$_ FROM table_19112_3 WHERE company = "RHB Capital"
|
SELECT "market_value__billion_$_" FROM "table_19112_3" WHERE "RHB Capital" = "company"
| 0.083984 |
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)
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 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 patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
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what was the first value of a laboratory test potassium of patient 035-15069?
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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 = '035-15069')) AND lab.labname = 'potassium' ORDER BY lab.labresulttime LIMIT 1
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WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '035-15069' 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 "lab"."labresult" FROM "lab" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "lab"."patientunitstayid" WHERE "lab"."labname" = 'potassium' AND NOT "_u_1"."" IS NULL ORDER BY "lab"."labresulttime" NULLS FIRST LIMIT 1
| 0.560547 |
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