schema
stringlengths 28
5.65k
| question
stringlengths 0
990
| rejected
stringlengths 2
4.44k
| chosen
stringlengths 4
9.17k
| weight
float64 0
8.95
|
|---|---|---|---|---|
CREATE TABLE table_38556 ("Position" FLOAT, "Team" TEXT, "Points" FLOAT, "Played" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Against" FLOAT, "Difference" TEXT)
|
Which Drawn is the highest one that has an Against larger than 15, and Points smaller than 15, and a Lost smaller than 9?
|
SELECT MAX("Drawn") FROM table_38556 WHERE "Against" > '15' AND "Points" < '15' AND "Lost" < '9'
|
SELECT MAX("Drawn") FROM "table_38556" WHERE "Against" > '15' AND "Lost" < '9' AND "Points" < '15'
| 0.095703 |
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
|
For those records from the products and each product's manufacturer, give me the comparison about the average of revenue over the founder , and group by attribute founder by a bar chart, could you order by the the average of revenue in ascending?
|
SELECT Founder, AVG(Revenue) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder ORDER BY AVG(Revenue)
|
SELECT "Founder", AVG("Revenue") FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder" ORDER BY AVG("Revenue") NULLS FIRST
| 0.172852 |
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
|
Is Biology and Management of Insects a class that is offered ?
|
SELECT DISTINCT department, name, number FROM course WHERE (description LIKE '%Biology and Management of Insects%' OR name LIKE '%Biology and Management of Insects%') AND department = 'EECS'
|
SELECT DISTINCT "department", "name", "number" FROM "course" WHERE "department" = 'EECS' AND ("description" LIKE '%Biology and Management of Insects%' OR "name" LIKE '%Biology and Management of Insects%')
| 0.199219 |
CREATE TABLE table_70840 ("Year" FLOAT, "Entrant" TEXT, "Chassis" TEXT, "Engine" TEXT, "Points" FLOAT)
|
Which is the latest year that has an engine of Offenhauser l4, a chassis of Kurtis Kraft 500c, and the entrant of Federal Engineering?
|
SELECT MAX("Year") FROM table_70840 WHERE "Engine" = 'offenhauser l4' AND "Chassis" = 'kurtis kraft 500c' AND "Entrant" = 'federal engineering'
|
SELECT MAX("Year") FROM "table_70840" WHERE "Chassis" = 'kurtis kraft 500c' AND "Engine" = 'offenhauser l4' AND "Entrant" = 'federal engineering'
| 0.141602 |
CREATE TABLE table_name_68 (attendance INT, week VARCHAR)
|
How many people on average attended the game in week 14?
|
SELECT AVG(attendance) FROM table_name_68 WHERE week = 14
|
SELECT AVG("attendance") FROM "table_name_68" WHERE "week" = 14
| 0.061523 |
CREATE TABLE table_203_523 (id DECIMAL, "state" TEXT, "swimsuit" DECIMAL, "interview" DECIMAL, "evening gown" DECIMAL, "average" DECIMAL, "finalists" DECIMAL)
|
how many points did iowa score in the swimsuit round ?
|
SELECT "swimsuit" FROM table_203_523 WHERE "state" = 'iowa'
|
SELECT "swimsuit" FROM "table_203_523" WHERE "state" = 'iowa'
| 0.05957 |
CREATE TABLE table_76526 ("Poll Source" TEXT, "Sample Size" FLOAT, "Margin of Error" FLOAT, "Date" TEXT, "Democrat" TEXT, "Republican" TEXT)
|
What was the date of the poll with a sample size of 496 where Republican Mike Huckabee was chosen?
|
SELECT "Date" FROM table_76526 WHERE "Republican" = 'mike huckabee' AND "Sample Size" = '496'
|
SELECT "Date" FROM "table_76526" WHERE "Republican" = 'mike huckabee' AND "Sample Size" = '496'
| 0.092773 |
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE 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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
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 procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
|
how many days since first time patient 55360 was diagnosed with hepatic encephalopathy during this hospital encounter?
|
SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', diagnoses_icd.charttime)) FROM diagnoses_icd WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'hepatic encephalopathy') AND diagnoses_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 55360 AND admissions.dischtime IS NULL) ORDER BY diagnoses_icd.charttime LIMIT 1
|
WITH "_u_1" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."dischtime" IS NULL AND "admissions"."subject_id" = 55360 GROUP BY "hadm_id") SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', "diagnoses_icd"."charttime")) FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'hepatic encephalopathy' LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "diagnoses_icd"."hadm_id" WHERE NOT "_u_1"."" IS NULL ORDER BY "diagnoses_icd"."charttime" NULLS FIRST LIMIT 1
| 0.55957 |
CREATE TABLE table_16439764_1 (shell__lb_ VARCHAR, gun VARCHAR)
|
If the gun used is the qf 12 pdr 12 cwt, what is the shell weight?
|
SELECT shell__lb_ FROM table_16439764_1 WHERE gun = "QF 12 pdr 12 cwt"
|
SELECT "shell__lb_" FROM "table_16439764_1" WHERE "QF 12 pdr 12 cwt" = "gun"
| 0.074219 |
CREATE TABLE table_9697 ("Scorer" TEXT, "Club" TEXT, "League goals" TEXT, "FA Cup goals" FLOAT, "League Cup goals" FLOAT, "Total" FLOAT)
|
Which League Cup goals have a Scorer of ken houghton, and an FA Cup goals smaller than 0?
|
SELECT MAX("League Cup goals") FROM table_9697 WHERE "Scorer" = 'ken houghton' AND "FA Cup goals" < '0'
|
SELECT MAX("League Cup goals") FROM "table_9697" WHERE "FA Cup goals" < '0' AND "Scorer" = 'ken houghton'
| 0.102539 |
CREATE TABLE inst (Id VARCHAR)
|
How many institutions are there?
|
SELECT COUNT(*) FROM inst
|
SELECT COUNT(*) FROM "inst"
| 0.026367 |
CREATE TABLE table_16839 ("Player" TEXT, "No." FLOAT, "Nationality" TEXT, "Position" TEXT, "Years for Jazz" TEXT, "School/Club Team" TEXT)
|
Which school is Kirk Snyder from?
|
SELECT "School/Club Team" FROM table_16839 WHERE "Player" = 'Kirk Snyder'
|
SELECT "School/Club Team" FROM "table_16839" WHERE "Player" = 'Kirk Snyder'
| 0.073242 |
CREATE TABLE addresses (state_province_county VARCHAR, line_1_number_building VARCHAR)
|
Which state can address '6862 Kaitlyn Knolls' possibly be in?
|
SELECT state_province_county FROM addresses WHERE line_1_number_building LIKE "%6862 Kaitlyn Knolls%"
|
SELECT "state_province_county" FROM "addresses" WHERE "line_1_number_building" LIKE "%6862 Kaitlyn Knolls%"
| 0.104492 |
CREATE TABLE table_70479 ("Name" TEXT, "Years" TEXT, "Gender" TEXT, "Area" TEXT, "Authority" TEXT, "Decile" FLOAT, "Roll" FLOAT)
|
Name the total number of roll for st joseph's school when decile is less than 5
|
SELECT COUNT("Roll") FROM table_70479 WHERE "Name" = 'st joseph''s school' AND "Decile" < '5'
|
SELECT COUNT("Roll") FROM "table_70479" WHERE "Decile" < '5' AND "Name" = 'st joseph\'s school'
| 0.092773 |
CREATE TABLE table_25984 ("Player" TEXT, "Games Played" FLOAT, "Minutes" FLOAT, "Field Goals" FLOAT, "Three Pointers" FLOAT, "Free Throws" FLOAT, "Rebounds" FLOAT, "Assists" FLOAT, "Blocks" FLOAT, "Steals" FLOAT, "Points" FLOAT)
|
If the amount of rebounds is 0, what is the maximum minutes?
|
SELECT MAX("Minutes") FROM table_25984 WHERE "Rebounds" = '0'
|
SELECT MAX("Minutes") FROM "table_25984" WHERE "Rebounds" = '0'
| 0.061523 |
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)
|
show me the number of male patients who were born before 2101.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.dob_year < "2101"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2101" > "demographic"."dob_year" AND "M" = "demographic"."gender"
| 0.137695 |
CREATE TABLE table_1969634_1 (division VARCHAR, nickname VARCHAR)
|
How many teams have skyhawks as a nickname?
|
SELECT COUNT(division) FROM table_1969634_1 WHERE nickname = "Skyhawks"
|
SELECT COUNT("division") FROM "table_1969634_1" WHERE "Skyhawks" = "nickname"
| 0.075195 |
CREATE TABLE table_13758243_1 (overall INT, player VARCHAR)
|
What numer pick in the draft for jerry marion
|
SELECT MAX(overall) FROM table_13758243_1 WHERE player = "Jerry Marion"
|
SELECT MAX("overall") FROM "table_13758243_1" WHERE "Jerry Marion" = "player"
| 0.075195 |
CREATE TABLE table_71617 ("Year" FLOAT, "Entrant" TEXT, "Chassis" TEXT, "Engine" TEXT, "Points" FLOAT)
|
What is the year with a Kurtis Kraft 500a chassis, and less than 1.5 points?
|
SELECT SUM("Year") FROM table_71617 WHERE "Chassis" = 'kurtis kraft 500a' AND "Points" < '1.5'
|
SELECT SUM("Year") FROM "table_71617" WHERE "Chassis" = 'kurtis kraft 500a' AND "Points" < '1.5'
| 0.09375 |
CREATE TABLE table_9568 ("Res." TEXT, "Record" TEXT, "Opponent" TEXT, "Method" TEXT, "Event" TEXT, "Round" FLOAT, "Location" TEXT)
|
How many rounds was the fight at UFC 34?
|
SELECT SUM("Round") FROM table_9568 WHERE "Event" = 'ufc 34'
|
SELECT SUM("Round") FROM "table_9568" WHERE "Event" = 'ufc 34'
| 0.060547 |
CREATE TABLE table_name_12 (became_acharya_on VARCHAR, name_of_acharya VARCHAR)
|
When did acharya shree koshalendraprasadji maharaj become acharya?
|
SELECT became_acharya_on FROM table_name_12 WHERE name_of_acharya = "acharya shree koshalendraprasadji maharaj"
|
SELECT "became_acharya_on" FROM "table_name_12" WHERE "acharya shree koshalendraprasadji maharaj" = "name_of_acharya"
| 0.114258 |
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE 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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
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 PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId 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 PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE 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 PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId 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)
|
Ljudi iz bosne na SO.
|
SELECT u.DisplayName, u.Location FROM Users AS u WHERE u.Location LIKE '%Bosnia%' ORDER BY u.Location
|
SELECT "u"."DisplayName", "u"."Location" FROM "Users" AS "u" WHERE "u"."Location" LIKE '%Bosnia%' ORDER BY "u"."Location" NULLS FIRST
| 0.129883 |
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description 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 PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE FlagTypes (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 ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name 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 Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostTypes (Id DECIMAL, Name 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 PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
|
Posts from MathOverflow an Mathematics with the same title between two given dates.
|
SELECT b.Title, a.CreationDate AS "MO Date", b.CreationDate AS "MSE Date", ('http://mathoverflow.net/questions/' + CAST(a.Id AS TEXT)), ('http://math.stackexchange.com/questions/' + CAST(b.Id AS TEXT)) FROM "stackexchange.mathoverflow".Posts AS a JOIN "stackexchange.math".Posts AS b ON a.Title = b.Title WHERE b.PostTypeId = 1 AND ABS(CAST((JULIANDAY(CreationDate) - JULIANDAY(a.CreationDate)) AS INT)) <= 12 AND a.ClosedDate IS NULL AND b.ClosedDate IS NULL ORDER BY a.CreationDate
|
SELECT "b"."Title", "a"."CreationDate" AS "MO Date", "b"."CreationDate" AS "MSE Date", CONCAT('http://mathoverflow.net/questions/', CAST("a"."Id" AS TEXT)), CONCAT('http://math.stackexchange.com/questions/', CAST("b"."Id" AS TEXT)) FROM "stackexchange.mathoverflow"."Posts" AS "a" JOIN "stackexchange.math"."Posts" AS "b" ON "a"."Title" = "b"."Title" AND "b"."ClosedDate" IS NULL AND "b"."PostTypeId" = 1 WHERE "a"."ClosedDate" IS NULL AND ABS(CAST((JULIANDAY("CreationDate") - JULIANDAY("a"."CreationDate")) AS INT)) <= 12 ORDER BY "a"."CreationDate" NULLS FIRST
| 0.549805 |
CREATE TABLE table_15081 ("category" TEXT, "1999" TEXT, "2000" TEXT, "2001" TEXT, "2004" TEXT)
|
What car was awarded sub 1 litre in 2000?
|
SELECT "2000" FROM table_15081 WHERE "category" = 'sub 1 litre'
|
SELECT "2000" FROM "table_15081" WHERE "category" = 'sub 1 litre'
| 0.063477 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
|
how many patients whose ethnicity is black/african american and drug name is lorazepam?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "BLACK/AFRICAN AMERICAN" AND prescriptions.drug = "Lorazepam"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Lorazepam" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "BLACK/AFRICAN AMERICAN" = "demographic"."ethnicity"
| 0.238281 |
CREATE TABLE table_62963 ("Township" TEXT, "County" TEXT, "Pop. ( 2010 ) " FLOAT, "Land ( sqmi ) " FLOAT, "Water ( sqmi ) " FLOAT, "Latitude" FLOAT, "Longitude" FLOAT, "GEO ID" FLOAT, "ANSI code" FLOAT)
|
What was the lowest population of the GEO ID 3805373380 and the water square mileage smaller than 5.729?
|
SELECT MIN("Pop. (2010)") FROM table_62963 WHERE "GEO ID" = '3805373380' AND "Water (sqmi)" < '5.729'
|
SELECT MIN("Pop. (2010)") FROM "table_62963" WHERE "GEO ID" = '3805373380' AND "Water (sqmi)" < '5.729'
| 0.100586 |
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR, Document_Type_Description VARCHAR)
CREATE TABLE Accounts (Account_ID INT, Statement_ID INT, Account_Details VARCHAR)
CREATE TABLE Documents (Document_ID INT, Document_Type_Code CHAR, Project_ID INT, Document_Date DATETIME, Document_Name VARCHAR, Document_Description VARCHAR, Other_Details VARCHAR)
CREATE TABLE Statements (Statement_ID INT, Statement_Details VARCHAR)
CREATE TABLE Ref_Budget_Codes (Budget_Type_Code CHAR, Budget_Type_Description VARCHAR)
CREATE TABLE Documents_with_Expenses (Document_ID INT, Budget_Type_Code CHAR, Document_Details VARCHAR)
CREATE TABLE Projects (Project_ID INT, Project_Details VARCHAR)
|
Pie. how many documents are there of each type?
|
SELECT Document_Type_Code, COUNT(*) FROM Documents GROUP BY Document_Type_Code
|
SELECT "Document_Type_Code", COUNT(*) FROM "Documents" GROUP BY "Document_Type_Code"
| 0.082031 |
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
|
is the heart rate value of patient 3369 measured at 2101-01-27 22:30:00 greater than the value measured at 2101-01-27 22:25:00?
|
SELECT (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 3369)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'heart rate' AND d_items.linksto = 'chartevents') AND chartevents.charttime = '2101-01-27 22:30:00') > (SELECT chartevents.valuenum FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 3369)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'heart rate' AND d_items.linksto = 'chartevents') AND chartevents.charttime = '2101-01-27 22:25:00')
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 3369 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'heart rate' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid"), "_u_5" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_4" ON "_u_4"."" = "icustays"."hadm_id" WHERE NOT "_u_4"."" IS NULL GROUP BY "icustay_id") SELECT (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_5" AS "_u_5" ON "_u_5"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_6" ON "_u_6"."" = "chartevents"."itemid" WHERE "chartevents"."charttime" = '2101-01-27 22:25:00' AND NOT "_u_5"."" IS NULL AND NOT "_u_6"."" IS NULL) < (SELECT "chartevents"."valuenum" FROM "chartevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."charttime" = '2101-01-27 22:30:00' AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL)
| 1.189453 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
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)
|
give me the number of patients whose primary disease is sigmoid diverticulitis, colovestical fistula/sda and year of death is less than or equal to 2133?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA" AND demographic.dod_year <= "2133.0"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2133.0" >= "demographic"."dod_year" AND "SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA" = "demographic"."diagnosis"
| 0.189453 |
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_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 semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE 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 jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
|
The easiest class I can take to fulfill the PreMajor requirement is ?
|
SELECT DISTINCT course.department, course.name, course.number, program_course.workload, program_course.workload FROM course, program_course WHERE program_course.category LIKE '%PreMajor%' AND program_course.course_id = course.course_id AND program_course.workload = (SELECT MIN(PROGRAM_COURSEalias1.workload) FROM program_course AS PROGRAM_COURSEalias1 WHERE PROGRAM_COURSEalias1.category LIKE '%PreMajor%')
|
WITH "_u_0" AS (SELECT MIN("PROGRAM_COURSEalias1"."workload") FROM "program_course" AS "PROGRAM_COURSEalias1" WHERE "PROGRAM_COURSEalias1"."category" LIKE '%PreMajor%') SELECT DISTINCT "course"."department", "course"."name", "course"."number", "program_course"."workload", "program_course"."workload" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%PreMajor%' JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "program_course"."workload"
| 0.494141 |
CREATE TABLE table_40775 ("Ballarat FL" TEXT, "Wins" FLOAT, "Byes" FLOAT, "Losses" FLOAT, "Draws" FLOAT, "Against" FLOAT)
|
What is the total number of Losses that Melton had when they had fewer Draws than 0?
|
SELECT SUM("Losses") FROM table_40775 WHERE "Ballarat FL" = 'melton' AND "Draws" < '0'
|
SELECT SUM("Losses") FROM "table_40775" WHERE "Ballarat FL" = 'melton' AND "Draws" < '0'
| 0.085938 |
CREATE TABLE table_name_44 (rank VARCHAR, team VARCHAR, time VARCHAR)
|
What ranking did Team 250cc Honda end up in when it finished a race with a time of 1:27.57.28?
|
SELECT COUNT(rank) FROM table_name_44 WHERE team = "250cc honda" AND time = "1:27.57.28"
|
SELECT COUNT("rank") FROM "table_name_44" WHERE "1:27.57.28" = "time" AND "250cc honda" = "team"
| 0.09375 |
CREATE TABLE table_45378 ("Channel" TEXT, "Play-by-play" TEXT, "Color commentator ( s ) " TEXT, "Studio host" TEXT, "Studio analysts" TEXT)
|
which channel will have play by play commentator Paul Sunderland, Studio Host Bill Macdonald and Studi Analysty Jack Haley?
|
SELECT "Channel" FROM table_45378 WHERE "Play-by-play" = 'paul sunderland' AND "Studio host" = 'bill macdonald' AND "Studio analysts" = 'jack haley'
|
SELECT "Channel" FROM "table_45378" WHERE "Play-by-play" = 'paul sunderland' AND "Studio analysts" = 'jack haley' AND "Studio host" = 'bill macdonald'
| 0.146484 |
CREATE TABLE table_74540 ("Class" TEXT, "Date" TEXT, "Race" TEXT, "Driver" TEXT, "Position" FLOAT, "Team" TEXT)
|
what date has the class of non-championship f2 as well as a driver name jos froil n gonz lez that has a position larger than 2?
|
SELECT "Date" FROM table_74540 WHERE "Class" = 'non-championship f2' AND "Driver" = 'josé froilán gonzález' AND "Position" > '2'
|
SELECT "Date" FROM "table_74540" WHERE "Class" = 'non-championship f2' AND "Driver" = 'josé froilán gonzález' AND "Position" > '2'
| 0.126953 |
CREATE TABLE table_name_59 (catalog VARCHAR, region VARCHAR)
|
What is the Catalog Number is for the Japan region?
|
SELECT catalog FROM table_name_59 WHERE region = "japan"
|
SELECT "catalog" FROM "table_name_59" WHERE "japan" = "region"
| 0.060547 |
CREATE TABLE table_51037 ("Date" TEXT, "Series" TEXT, "Circuit" TEXT, "City / State" TEXT, "Winner" TEXT, "Team" TEXT)
|
What is the city/state of the circuit where Russell Ingall Larry Perkins was the winner?
|
SELECT "City / State" FROM table_51037 WHERE "Winner" = 'russell ingall larry perkins'
|
SELECT "City / State" FROM "table_51037" WHERE "Winner" = 'russell ingall larry perkins'
| 0.085938 |
CREATE TABLE table_36425 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Loss" TEXT, "Save" TEXT, "Record" TEXT)
|
What was the loss on September 2?
|
SELECT "Loss" FROM table_36425 WHERE "Date" = 'september 2'
|
SELECT "Loss" FROM "table_36425" WHERE "Date" = 'september 2'
| 0.05957 |
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 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)
|
how many patients whose drug name is spironolactone?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.drug = "Spironolactone"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Spironolactone" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id"
| 0.185547 |
CREATE TABLE table_49048 ("Source Version" TEXT, "Target Version" TEXT, "Last Release" TEXT, "License" TEXT, "Website" TEXT)
|
What is Source Version, when Target Version is Java 7, 6, 5?
|
SELECT "Source Version" FROM table_49048 WHERE "Target Version" = 'java 7, 6, 5'
|
SELECT "Source Version" FROM "table_49048" WHERE "Target Version" = 'java 7, 6, 5'
| 0.080078 |
CREATE TABLE table_50625 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Ground" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
What was the smallest crowd when the away team scored 12.16 (88)?
|
SELECT MIN("Crowd") FROM table_50625 WHERE "Away team score" = '12.16 (88)'
|
SELECT MIN("Crowd") FROM "table_50625" WHERE "Away team score" = '12.16 (88)'
| 0.075195 |
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
|
what were the five most frequent drugs that were prescribed within the same hospital visit to the seizures - generalized tonic -clonic male patients with age 40s after they were diagnosed with seizures - generalized tonic -clonic, since 5 years ago?
|
SELECT t3.drugname FROM (SELECT t2.drugname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'seizures - generalized tonic -clonic' AND DATETIME(diagnosis.diagnosistime) >= DATETIME(CURRENT_TIME(), '-5 year')) AS t1 JOIN (SELECT patient.uniquepid, medication.drugname, medication.drugstarttime, patient.patienthealthsystemstayid FROM medication JOIN patient ON medication.patientunitstayid = patient.patientunitstayid WHERE patient.gender = 'male' AND patient.age BETWEEN 40 AND 49 AND DATETIME(medication.drugstarttime) >= DATETIME(CURRENT_TIME(), '-5 year')) AS t2 ON t1.uniquepid = t2.uniquepid WHERE t1.diagnosistime < t2.drugstarttime AND t1.patienthealthsystemstayid = t2.patienthealthsystemstayid GROUP BY t2.drugname) AS t3 WHERE t3.c1 <= 5
|
WITH "t2" AS (SELECT "patient"."uniquepid", "medication"."drugname", "medication"."drugstarttime", "patient"."patienthealthsystemstayid" FROM "medication" JOIN "patient" ON "medication"."patientunitstayid" = "patient"."patientunitstayid" AND "patient"."age" <= 49 AND "patient"."age" >= 40 AND "patient"."gender" = 'male' WHERE DATETIME("medication"."drugstarttime") >= DATETIME(CURRENT_TIME(), '-5 year')), "t3" AS (SELECT "t2"."drugname", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" JOIN "t2" AS "t2" ON "diagnosis"."diagnosistime" < "t2"."drugstarttime" AND "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" AND "patient"."uniquepid" = "t2"."uniquepid" WHERE "diagnosis"."diagnosisname" = 'seizures - generalized tonic -clonic' AND DATETIME("diagnosis"."diagnosistime") >= DATETIME(CURRENT_TIME(), '-5 year') GROUP BY "t2"."drugname") SELECT "t3"."drugname" FROM "t3" AS "t3" WHERE "t3"."c1" <= 5
| 1.014648 |
CREATE TABLE table_25499 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
|
What was the high point for January 20?
|
SELECT "High points" FROM table_25499 WHERE "Date" = 'January 20'
|
SELECT "High points" FROM "table_25499" WHERE "Date" = 'January 20'
| 0.06543 |
CREATE TABLE table_49390 ("Province" TEXT, "Population" FLOAT, "Region" TEXT, "Name of City" TEXT, "Districts" FLOAT)
|
What is the population of Chimbote?
|
SELECT SUM("Population") FROM table_49390 WHERE "Name of City" = 'chimbote'
|
SELECT SUM("Population") FROM "table_49390" WHERE "Name of City" = 'chimbote'
| 0.075195 |
CREATE TABLE table_35791 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Record" TEXT, "Game Site" TEXT, "Attendance" FLOAT)
|
What is the lowest week number that there was a game on October 23, 1977 with less than 68,977 people attending?
|
SELECT MIN("Week") FROM table_35791 WHERE "Attendance" < '68,977' AND "Date" = 'october 23, 1977'
|
SELECT MIN("Week") FROM "table_35791" WHERE "Attendance" < '68,977' AND "Date" = 'october 23, 1977'
| 0.09668 |
CREATE TABLE table_name_63 (roll INT, decile VARCHAR, area VARCHAR, name VARCHAR)
|
What is the roll number of Orautoha school in Raetihi, which has a decile smaller than 8?
|
SELECT SUM(roll) FROM table_name_63 WHERE area = "raetihi" AND name = "orautoha school" AND decile < 8
|
SELECT SUM("roll") FROM "table_name_63" WHERE "area" = "raetihi" AND "decile" < 8 AND "name" = "orautoha school"
| 0.109375 |
CREATE TABLE table_34051 ("Callsign" TEXT, "Area served" TEXT, "Frequency" TEXT, "Band" TEXT, "On-air ID" TEXT, "Purpose" TEXT)
|
What is the On-air ID with the frequency of 105.9, and purpose of commercial?
|
SELECT "On-air ID" FROM table_34051 WHERE "Frequency" = '105.9' AND "Purpose" = 'commercial'
|
SELECT "On-air ID" FROM "table_34051" WHERE "Frequency" = '105.9' AND "Purpose" = 'commercial'
| 0.091797 |
CREATE TABLE table_name_30 (college VARCHAR, player VARCHAR)
|
What college did hunter henry go to?
|
SELECT college FROM table_name_30 WHERE player = "hunter henry"
|
SELECT "college" FROM "table_name_30" WHERE "hunter henry" = "player"
| 0.067383 |
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
|
New Questions Analysis by Month.
|
SELECT YEAR(CreationDate) AS "year", MONTH(CreationDate) AS "month", SUM(CASE WHEN Posts.PostTypeId = 1 THEN 1 ELSE 0 END) AS QuestionCount, SUM(CASE WHEN Posts.PostTypeId = 2 THEN 1 ELSE 0 END) AS AnswerCount FROM Posts WHERE YEAR(CreationDate) >= 2014 GROUP BY YEAR(CreationDate), MONTH(CreationDate) ORDER BY YEAR(CreationDate), MONTH(CreationDate)
|
SELECT YEAR("CreationDate") AS "year", MONTH("CreationDate") AS "month", SUM(CASE WHEN "Posts"."PostTypeId" = 1 THEN 1 ELSE 0 END) AS "QuestionCount", SUM(CASE WHEN "Posts"."PostTypeId" = 2 THEN 1 ELSE 0 END) AS "AnswerCount" FROM "Posts" WHERE YEAR("CreationDate") >= 2014 GROUP BY YEAR("CreationDate"), MONTH("CreationDate") ORDER BY YEAR("CreationDate") NULLS FIRST, MONTH("CreationDate") NULLS FIRST
| 0.393555 |
CREATE TABLE table_48287 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
|
Can you tell me the Score that has the Team of memphis?
|
SELECT "Score" FROM table_48287 WHERE "Team" = 'memphis'
|
SELECT "Score" FROM "table_48287" WHERE "Team" = 'memphis'
| 0.056641 |
CREATE TABLE table_11589522_3 (title VARCHAR, original_air_date VARCHAR)
|
what's the title where original air date is january18,2009
|
SELECT title FROM table_11589522_3 WHERE original_air_date = "January18,2009"
|
SELECT "title" FROM "table_11589522_3" WHERE "January18,2009" = "original_air_date"
| 0.081055 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
what is the number of patients whose lab test chart time is 2124-07-01 03:07:00?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.charttime = "2124-07-01 03:07:00"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "2124-07-01 03:07:00" = "lab"."charttime" AND "demographic"."hadm_id" = "lab"."hadm_id"
| 0.166016 |
CREATE TABLE table_name_21 (award VARCHAR, category VARCHAR)
|
For what award was there a nomination for Best Actress?
|
SELECT award FROM table_name_21 WHERE category = "best actress"
|
SELECT "award" FROM "table_name_21" WHERE "best actress" = "category"
| 0.067383 |
CREATE TABLE table_name_20 (score VARCHAR, player VARCHAR)
|
What is Score, when Player is 'Deane Beman'?
|
SELECT score FROM table_name_20 WHERE player = "deane beman"
|
SELECT "score" FROM "table_name_20" WHERE "deane beman" = "player"
| 0.064453 |
CREATE TABLE table_53551 ("Player" TEXT, "Competition" TEXT, "Team" TEXT, "Opponent" TEXT, "Year" FLOAT, "Score" TEXT)
|
Tell me the team for victorian football league
|
SELECT "Team" FROM table_53551 WHERE "Competition" = 'victorian football league'
|
SELECT "Team" FROM "table_53551" WHERE "Competition" = 'victorian football league'
| 0.080078 |
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
|
For those records from the products and each product's manufacturer, find name and code , and group by attribute founder, and visualize them by a bar chart, and show in ascending by the Name please.
|
SELECT T1.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder, T1.Name ORDER BY T1.Name
|
SELECT "T1"."Name", "T1"."Code" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder", "T1"."Name" ORDER BY "T1"."Name" NULLS FIRST
| 0.181641 |
CREATE TABLE table_32687 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
What was the away teams score when Hawthorn played as the home team?
|
SELECT "Away team score" FROM table_32687 WHERE "Home team" = 'hawthorn'
|
SELECT "Away team score" FROM "table_32687" WHERE "Home team" = 'hawthorn'
| 0.072266 |
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description 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_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 airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt 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 dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
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 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 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 equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
|
i need a return flight from PHILADELPHIA to BOSTON
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PHILADELPHIA' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'BOSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code
|
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" = 'PHILADELPHIA' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'BOSTON'
| 0.498047 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
count the number of patients whose admission type is elective and procedure icd9 code is 252?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND procedures.icd9_code = "252"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "252" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "ELECTIVE" = "demographic"."admission_type"
| 0.219727 |
CREATE TABLE table_204_103 (id DECIMAL, "medal" TEXT, "name" TEXT, "sport" TEXT, "event" TEXT)
|
what was the number of silver metals given for weightlifting ?
|
SELECT COUNT("medal") FROM table_204_103 WHERE "sport" = 'weightlifting'
|
SELECT COUNT("medal") FROM "table_204_103" WHERE "sport" = 'weightlifting'
| 0.072266 |
CREATE TABLE table_26628 ("Name" TEXT, "Deceased Spouse" TEXT, "Cause of Death" TEXT, "Date of Spouses Death" TEXT, "Length of Marriage" TEXT, "Children Together" TEXT, "Current Marital Status" TEXT)
|
How long were Ray Bradbury and his wife married?
|
SELECT "Length of Marriage" FROM table_26628 WHERE "Name" = 'Ray Bradbury'
|
SELECT "Length of Marriage" FROM "table_26628" WHERE "Name" = 'Ray Bradbury'
| 0.074219 |
CREATE TABLE table_3129 ("No." FLOAT, "Date" TEXT, "Tournament" TEXT, "Winning score" TEXT, "To par" TEXT, "Margin of victory" TEXT, "Runner ( s ) -up" TEXT)
|
What were the shots below par when the winning score was 67-64-63-71-66=331?
|
SELECT "To par" FROM table_3129 WHERE "Winning score" = '67-64-63-71-66=331'
|
SELECT "To par" FROM "table_3129" WHERE "Winning score" = '67-64-63-71-66=331'
| 0.076172 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
|
how many patients whose admission year is less than 2157 and item id is 50820?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2157" AND lab.itemid = "50820"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "50820" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "2157" > "demographic"."admityear"
| 0.189453 |
CREATE TABLE table_8827 ("Round" FLOAT, "Pick" FLOAT, "Overall" FLOAT, "Name" TEXT, "Position" TEXT, "College" TEXT)
|
If Notre Dame had a pick larger than 5, what's the overall pick?
|
SELECT MAX("Overall") FROM table_8827 WHERE "College" = 'notre dame' AND "Pick" > '5'
|
SELECT MAX("Overall") FROM "table_8827" WHERE "College" = 'notre dame' AND "Pick" > '5'
| 0.084961 |
CREATE TABLE table_23259077_1 (year INT, opponent_in_the_final VARCHAR)
|
On what year did Newcombe first face Clark Graebner in a final match?
|
SELECT MIN(year) FROM table_23259077_1 WHERE opponent_in_the_final = "Clark Graebner"
|
SELECT MIN("year") FROM "table_23259077_1" WHERE "Clark Graebner" = "opponent_in_the_final"
| 0.088867 |
CREATE TABLE table_name_28 (position VARCHAR, team VARCHAR)
|
What is the position of the player from the denver broncos?
|
SELECT position FROM table_name_28 WHERE team = "denver broncos"
|
SELECT "position" FROM "table_name_28" WHERE "denver broncos" = "team"
| 0.068359 |
CREATE TABLE table_2679061_9 (nationality VARCHAR, pick__number VARCHAR)
|
What was the nationality of player picked no. 179?
|
SELECT nationality FROM table_2679061_9 WHERE pick__number = 179
|
SELECT "nationality" FROM "table_2679061_9" WHERE "pick__number" = 179
| 0.068359 |
CREATE TABLE table_41571 ("Region" TEXT, "Date" TEXT, "Label" TEXT, "Format" TEXT, "Catalog" TEXT)
|
What is the Catalog with a Region that is europe?
|
SELECT "Catalog" FROM table_41571 WHERE "Region" = 'europe'
|
SELECT "Catalog" FROM "table_41571" WHERE "Region" = 'europe'
| 0.05957 |
CREATE TABLE table_name_89 (marks VARCHAR, season VARCHAR)
|
How many marks did he get in 2005?
|
SELECT marks FROM table_name_89 WHERE season = "2005"
|
SELECT "marks" FROM "table_name_89" WHERE "2005" = "season"
| 0.057617 |
CREATE TABLE table_name_14 (round INT, opponent VARCHAR)
|
What round did Takayo Hashi face Yoko Hattori?
|
SELECT SUM(round) FROM table_name_14 WHERE opponent = "yoko hattori"
|
SELECT SUM("round") FROM "table_name_14" WHERE "opponent" = "yoko hattori"
| 0.072266 |
CREATE TABLE Projects (Project_ID INT, Project_Details VARCHAR)
CREATE TABLE Statements (Statement_ID INT, Statement_Details VARCHAR)
CREATE TABLE Documents (Document_ID INT, Document_Type_Code CHAR, Project_ID INT, Document_Date DATETIME, Document_Name VARCHAR, Document_Description VARCHAR, Other_Details VARCHAR)
CREATE TABLE Ref_Budget_Codes (Budget_Type_Code CHAR, Budget_Type_Description VARCHAR)
CREATE TABLE Accounts (Account_ID INT, Statement_ID INT, Account_Details VARCHAR)
CREATE TABLE Documents_with_Expenses (Document_ID INT, Budget_Type_Code CHAR, Document_Details VARCHAR)
CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR, Document_Type_Description VARCHAR)
|
Show the number of documents for different budget type description in a bar chart, and sort in ascending by the names.
|
SELECT Budget_Type_Description, COUNT(Budget_Type_Description) FROM Documents_with_Expenses AS T1 JOIN Ref_Budget_Codes AS T2 ON T1.Budget_Type_Code = T2.Budget_Type_Code GROUP BY Budget_Type_Description ORDER BY Budget_Type_Description
|
SELECT "Budget_Type_Description", COUNT("Budget_Type_Description") FROM "Documents_with_Expenses" AS "T1" JOIN "Ref_Budget_Codes" AS "T2" ON "T1"."Budget_Type_Code" = "T2"."Budget_Type_Code" GROUP BY "Budget_Type_Description" ORDER BY "Budget_Type_Description" NULLS FIRST
| 0.265625 |
CREATE TABLE table_45714 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Record" TEXT)
|
What is the Record for April 13?
|
SELECT "Record" FROM table_45714 WHERE "Date" = 'april 13'
|
SELECT "Record" FROM "table_45714" WHERE "Date" = 'april 13'
| 0.058594 |
CREATE TABLE table_name_79 (party VARCHAR, member VARCHAR)
|
To what party does Ralph Jacobi belong?
|
SELECT party FROM table_name_79 WHERE member = "ralph jacobi"
|
SELECT "party" FROM "table_name_79" WHERE "member" = "ralph jacobi"
| 0.06543 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
how many patients on esmolol prescription have been admitted for more than 29 days in hospital?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "29" AND prescriptions.drug = "Esmolol"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Esmolol" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "29" < "demographic"."days_stay"
| 0.216797 |
CREATE TABLE table_64151 ("Date" TEXT, "Label" TEXT, "Format" TEXT, "Country" TEXT, "Catalog" TEXT)
|
What Catalog came out on August 20, 1965?
|
SELECT "Catalog" FROM table_64151 WHERE "Date" = 'august 20, 1965'
|
SELECT "Catalog" FROM "table_64151" WHERE "Date" = 'august 20, 1965'
| 0.066406 |
CREATE TABLE table_55821 ("Class" TEXT, "Operator" TEXT, "Number" FLOAT, "Year Built" TEXT, "Cars per Set" FLOAT, "Unit Numbers." TEXT)
|
What is the largest number of cars per set that is less than 9?
|
SELECT MAX("Number") FROM table_55821 WHERE "Cars per Set" < '9'
|
SELECT MAX("Number") FROM "table_55821" WHERE "Cars per Set" < '9'
| 0.064453 |
CREATE TABLE table_name_84 (nation VARCHAR, rank VARCHAR, bronze VARCHAR, total VARCHAR)
|
What nation has a bronze of 2 with a total less than 5 and rank of 6?
|
SELECT nation FROM table_name_84 WHERE bronze = 2 AND total < 5 AND rank = "6"
|
SELECT "nation" FROM "table_name_84" WHERE "6" = "rank" AND "bronze" = 2 AND "total" < 5
| 0.085938 |
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, give me the comparison about the average of code over the headquarter , and group by attribute headquarter by a bar chart, and order from low to high by the bar.
|
SELECT T2.Headquarter, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Headquarter ORDER BY T2.Headquarter
|
SELECT "T2"."Headquarter", "T1"."Code" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T2"."Headquarter" ORDER BY "T2"."Headquarter" NULLS FIRST
| 0.191406 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
what is the number of patients whose admission location is clinic referral/premature and with discharge location left against medical advi?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND demographic.discharge_location = "LEFT AGAINST MEDICAL ADVI"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "CLINIC REFERRAL/PREMATURE" = "demographic"."admission_location" AND "LEFT AGAINST MEDICAL ADVI" = "demographic"."discharge_location"
| 0.203125 |
CREATE TABLE table_4655 ("Date" TEXT, "Epicenter" TEXT, "Magnitude" TEXT, "Fatalities" FLOAT, "Name" TEXT)
|
What is the average number of deaths for earthquakes centered in Damghan?
|
SELECT AVG("Fatalities") FROM table_4655 WHERE "Epicenter" = 'damghan'
|
SELECT AVG("Fatalities") FROM "table_4655" WHERE "Epicenter" = 'damghan'
| 0.070313 |
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 demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
|
give me the number of patients whose primary disease is cerebral aneurysm/sda and admission year is less than 2200?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "CEREBRAL ANEURYSM/SDA" AND demographic.admityear < "2200"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2200" > "demographic"."admityear" AND "CEREBRAL ANEURYSM/SDA" = "demographic"."diagnosis"
| 0.161133 |
CREATE TABLE table_name_37 (title VARCHAR, winner VARCHAR, season VARCHAR)
|
What is the Title when the winner was suntory sungoliath, and a Season of 2011-12 details?
|
SELECT title FROM table_name_37 WHERE winner = "suntory sungoliath" AND season = "2011-12 details"
|
SELECT "title" FROM "table_name_37" WHERE "2011-12 details" = "season" AND "suntory sungoliath" = "winner"
| 0.103516 |
CREATE TABLE table_name_70 (to_par VARCHAR, player VARCHAR)
|
What is Mike Souchak's to par score?
|
SELECT to_par FROM table_name_70 WHERE player = "mike souchak"
|
SELECT "to_par" FROM "table_name_70" WHERE "mike souchak" = "player"
| 0.066406 |
CREATE TABLE Activity (actid INT, activity_name VARCHAR)
CREATE TABLE Participates_in (stuid INT, actid INT)
CREATE TABLE Faculty_Participates_in (FacID INT, actid INT)
CREATE TABLE Faculty (FacID INT, Lname VARCHAR, Fname VARCHAR, Rank VARCHAR, Sex VARCHAR, Phone INT, Room VARCHAR, Building VARCHAR)
CREATE TABLE Student (StuID INT, LName VARCHAR, Fname VARCHAR, Age INT, Sex VARCHAR, Major INT, Advisor INT, city_code VARCHAR)
|
Show the number of faculty members for each rank in a bar chart, I want to order by the y-axis from low to high.
|
SELECT Rank, COUNT(Rank) FROM Faculty GROUP BY Rank ORDER BY COUNT(Rank)
|
SELECT "Rank", COUNT("Rank") FROM "Faculty" GROUP BY "Rank" ORDER BY COUNT("Rank") NULLS FIRST
| 0.091797 |
CREATE TABLE table_name_53 (outgoing_manage VARCHAR, incoming_manager VARCHAR)
|
Who was the outgoing manager when the incoming manager was augusto in cio?
|
SELECT outgoing_manage FROM table_name_53 WHERE incoming_manager = "augusto inácio"
|
SELECT "outgoing_manage" FROM "table_name_53" WHERE "augusto inácio" = "incoming_manager"
| 0.086914 |
CREATE TABLE table_24967 ("No." FLOAT, "Season" TEXT, "Championship" FLOAT, "No. of teams" FLOAT, "Start ( reg. season ) " TEXT, "Finish ( incl. championship ) " TEXT, "Top record" TEXT, "National Champion" TEXT)
|
When is the finish of the season that started on September 25?
|
SELECT "Finish (incl. championship)" FROM table_24967 WHERE "Start (reg. season)" = 'September 25'
|
SELECT "Finish (incl. championship)" FROM "table_24967" WHERE "Start (reg. season)" = 'September 25'
| 0.097656 |
CREATE TABLE table_name_68 (u15_4th_quad VARCHAR, u15_3rd_quad VARCHAR, u15_6th_quad VARCHAR)
|
Which U15 4th Quad had a U15 3rd Quad of BBC and U15 6th Quad of GT?
|
SELECT u15_4th_quad FROM table_name_68 WHERE u15_3rd_quad = "bbc" AND u15_6th_quad = "gt"
|
SELECT "u15_4th_quad" FROM "table_name_68" WHERE "bbc" = "u15_3rd_quad" AND "gt" = "u15_6th_quad"
| 0.094727 |
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
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 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 employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
|
Draw a bar chart of first name versus manager_id, sort from low to high by the y-axis.
|
SELECT FIRST_NAME, MANAGER_ID FROM employees ORDER BY MANAGER_ID
|
SELECT "FIRST_NAME", "MANAGER_ID" FROM "employees" ORDER BY "MANAGER_ID" NULLS FIRST
| 0.082031 |
CREATE TABLE table_34522 ("Team 1" TEXT, "Agg." TEXT, "Team 2" TEXT, "1st leg" TEXT, "2nd leg" TEXT)
|
What was the 2nd leg fo the match that had a 1st leg of 1-3 and aggregate of 1-6?
|
SELECT "2nd leg" FROM table_34522 WHERE "1st leg" = '1-3' AND "Agg." = '1-6'
|
SELECT "2nd leg" FROM "table_34522" WHERE "1st leg" = '1-3' AND "Agg." = '1-6'
| 0.076172 |
CREATE TABLE table_34913 ("Country" TEXT, "Skip" TEXT, "Third" TEXT, "Second" TEXT, "Lead" TEXT)
|
What was Canada's skip?
|
SELECT "Skip" FROM table_34913 WHERE "Country" = 'canada'
|
SELECT "Skip" FROM "table_34913" WHERE "Country" = 'canada'
| 0.057617 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
|
is joseph dillman single, married, or widowed?
|
SELECT demographic.marital_status FROM demographic WHERE demographic.name = "Joseph Dillman"
|
SELECT "demographic"."marital_status" FROM "demographic" WHERE "Joseph Dillman" = "demographic"."name"
| 0.099609 |
CREATE TABLE table_name_23 (losses VARCHAR, geelong_fl VARCHAR, wins VARCHAR)
|
How many Losses have a Geelong FL of newtown & chilwell, and more than 11 wins?
|
SELECT COUNT(losses) FROM table_name_23 WHERE geelong_fl = "newtown & chilwell" AND wins > 11
|
SELECT COUNT("losses") FROM "table_name_23" WHERE "geelong_fl" = "newtown & chilwell" AND "wins" > 11
| 0.098633 |
CREATE TABLE table_1615980_4 (no VARCHAR, tournament VARCHAR)
|
How many tournament wins were at Volvo Masters Andalucia?
|
SELECT COUNT(no) FROM table_1615980_4 WHERE tournament = "Volvo Masters Andalucia"
|
SELECT COUNT("no") FROM "table_1615980_4" WHERE "Volvo Masters Andalucia" = "tournament"
| 0.085938 |
CREATE TABLE table_name_50 (score VARCHAR, away_team VARCHAR)
|
What was the score of the tie with an away team of Stoke City?
|
SELECT score FROM table_name_50 WHERE away_team = "stoke city"
|
SELECT "score" FROM "table_name_50" WHERE "away_team" = "stoke city"
| 0.066406 |
CREATE TABLE table_203_98 (id DECIMAL, "title" TEXT, "year" DECIMAL, "director" TEXT, "budget" TEXT, "gross ( worldwide ) " TEXT, "notes" TEXT)
|
was the budget for young guns more or less than freejack 's budget ?
|
SELECT (SELECT "budget" FROM table_203_98 WHERE "title" = 'young guns') > (SELECT "budget" FROM table_203_98 WHERE "title" = 'freejack')
|
SELECT (SELECT "budget" FROM "table_203_98" WHERE "title" = 'freejack') < (SELECT "budget" FROM "table_203_98" WHERE "title" = 'young guns')
| 0.136719 |
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE 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 ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE 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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
|
Top 20 users from Munich.
|
SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation FROM Users WHERE LOWER(Location) LIKE '%munich%' ORDER BY Reputation DESC LIMIT 200
|
SELECT ROW_NUMBER() OVER (ORDER BY "Reputation" DESC NULLS LAST) AS "#", "Id" AS "user_link", "Reputation" FROM "Users" WHERE LOWER("Location") LIKE '%munich%' ORDER BY "Reputation" DESC NULLS LAST LIMIT 200
| 0.202148 |
CREATE TABLE table_48316 ("Date" TEXT, "Title" TEXT, "Peak position" FLOAT, "Weeks" TEXT, "Sales" FLOAT)
|
What was the Peak Position on July 11, 2001?
|
SELECT "Peak position" FROM table_48316 WHERE "Date" = 'july 11, 2001'
|
SELECT "Peak position" FROM "table_48316" WHERE "Date" = 'july 11, 2001'
| 0.070313 |
CREATE TABLE customers (customer_name VARCHAR, customer_id VARCHAR, payment_method_code VARCHAR)
CREATE TABLE customer_orders (customer_id VARCHAR)
|
Show the names of customers who use Credit Card payment method and have more than 2 orders.
|
SELECT T1.customer_name FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id WHERE T1.payment_method_code = 'Credit Card' GROUP BY T1.customer_id HAVING COUNT(*) > 2
|
SELECT "T1"."customer_name" FROM "customers" AS "T1" JOIN "customer_orders" AS "T2" ON "T1"."customer_id" = "T2"."customer_id" WHERE "T1"."payment_method_code" = 'Credit Card' GROUP BY "T1"."customer_id" HAVING COUNT(*) > 2
| 0.217773 |
CREATE TABLE table_13436 ("Draw" FLOAT, "Language" TEXT, "Artist" TEXT, "English translation" TEXT, "Place" FLOAT, "Points" FLOAT)
|
The English translation of Sing has what average points?
|
SELECT AVG("Points") FROM table_13436 WHERE "English translation" = 'sing'
|
SELECT AVG("Points") FROM "table_13436" WHERE "English translation" = 'sing'
| 0.074219 |
CREATE TABLE department (school_code VARCHAR, dept_address VARCHAR)
|
How many different locations does each school have?
|
SELECT COUNT(DISTINCT dept_address), school_code FROM department GROUP BY school_code
|
SELECT COUNT(DISTINCT "dept_address"), "school_code" FROM "department" GROUP BY "school_code"
| 0.09082 |
CREATE TABLE table_22670216_1 (location VARCHAR, winning_driver VARCHAR, track VARCHAR)
|
If the track is the Wisconsin State Fair Park Speedway and the winning driver is Wally Dallenbach, what was the location?
|
SELECT location FROM table_22670216_1 WHERE winning_driver = "Wally Dallenbach" AND track = "Wisconsin State Fair Park Speedway"
|
SELECT "location" FROM "table_22670216_1" WHERE "Wally Dallenbach" = "winning_driver" AND "Wisconsin State Fair Park Speedway" = "track"
| 0.132813 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.