schema
stringlengths 28
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CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
Among patients with cerebral aneurysm/sda as their primary disease, calculate the total number of those born before the year 2173.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "CEREBRAL ANEURYSM/SDA" AND demographic.admityear < "2173"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2173" > "demographic"."admityear" AND "CEREBRAL ANEURYSM/SDA" = "demographic"."diagnosis"
| 0.161133 |
CREATE TABLE table_66585 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Attendance" FLOAT)
|
what is the result when the opponent is at dallas cowboys?
|
SELECT "Result" FROM table_66585 WHERE "Opponent" = 'at dallas cowboys'
|
SELECT "Result" FROM "table_66585" WHERE "Opponent" = 'at dallas cowboys'
| 0.071289 |
CREATE TABLE table_78859 ("Week" FLOAT, "Event" TEXT, "Air Date" TEXT, "Winning team" TEXT, "Winners club" TEXT)
|
How many weeks have a Winning team of yellow team, and an Event of foos it or lose it?
|
SELECT SUM("Week") FROM table_78859 WHERE "Winning team" = 'yellow team' AND "Event" = 'foos it or lose it'
|
SELECT SUM("Week") FROM "table_78859" WHERE "Event" = 'foos it or lose it' AND "Winning team" = 'yellow team'
| 0.106445 |
CREATE TABLE table_name_42 (score VARCHAR, date VARCHAR)
|
What was the score on 7 february 2008?
|
SELECT score FROM table_name_42 WHERE date = "7 february 2008"
|
SELECT "score" FROM "table_name_42" WHERE "7 february 2008" = "date"
| 0.066406 |
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)
|
provide the number of patients whose admission year is less than 2154 and drug route is dialys?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admityear < "2154" AND prescriptions.route = "DIALYS"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "DIALYS" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "2154" > "demographic"."admityear"
| 0.21875 |
CREATE TABLE table_name_76 (second VARCHAR, third VARCHAR, lead VARCHAR)
|
Which Second has a Third of david nedohin, and a Lead of ben hebert?
|
SELECT second FROM table_name_76 WHERE third = "david nedohin" AND lead = "ben hebert"
|
SELECT "second" FROM "table_name_76" WHERE "ben hebert" = "lead" AND "david nedohin" = "third"
| 0.091797 |
CREATE TABLE table_38276 ("Name" TEXT, "Creator" TEXT, "Platform / OS" TEXT, "First public release" TEXT, "Latest stable release" TEXT, "Open source" TEXT, "Programming language used" TEXT)
|
Which Creator has the Latest stable release of unknown, and a Name of myeclipse?
|
SELECT "Creator" FROM table_38276 WHERE "Latest stable release" = 'unknown' AND "Name" = 'myeclipse'
|
SELECT "Creator" FROM "table_38276" WHERE "Latest stable release" = 'unknown' AND "Name" = 'myeclipse'
| 0.099609 |
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId 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 PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name 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 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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description 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 PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE 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 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 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 PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
|
How many questions for a tag.
|
SELECT Id FROM Tags WHERE TagName = 'SCOM'
|
SELECT "Id" FROM "Tags" WHERE "TagName" = 'SCOM'
| 0.046875 |
CREATE TABLE table_19974 ("Region" FLOAT, "Group A" TEXT, "Group B" TEXT, "Group C" TEXT, "Group D" TEXT, "Group E" TEXT, "Group F" TEXT)
|
Who is in group c when iowa is in group e?
|
SELECT "Group C" FROM table_19974 WHERE "Group E" = 'Iowa'
|
SELECT "Group C" FROM "table_19974" WHERE "Group E" = 'Iowa'
| 0.058594 |
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 comment_instructor (instructor_id INT, student_id INT, score INT, comment_text 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_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_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 instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE area (course_id INT, area 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 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 program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
|
For the EECS major , what are the PreMajor courses ?
|
SELECT DISTINCT course.department, course.name, course.number FROM course, program_course WHERE course.department LIKE '%EECS%' AND program_course.category LIKE '%PreMajor%' AND program_course.course_id = course.course_id
|
SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%PreMajor%' WHERE "course"."department" LIKE '%EECS%'
| 0.25 |
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)
|
how many government health insurance patients are male?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.insurance = "Government"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "Government" = "demographic"."insurance" AND "M" = "demographic"."gender"
| 0.144531 |
CREATE TABLE table_name_53 (rank INT, nation VARCHAR, silver VARCHAR)
|
Which Rank has a Nation of south korea, and a Silver larger than 0?
|
SELECT SUM(rank) FROM table_name_53 WHERE nation = "south korea" AND silver > 0
|
SELECT SUM("rank") FROM "table_name_53" WHERE "nation" = "south korea" AND "silver" > 0
| 0.084961 |
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, 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 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 PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress 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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
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 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 Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTaskResultTypes (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 PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
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)
|
Users with one [identification] question and no answers (original).
|
SELECT Users.Id AS "user_link", Posts.Id AS "post_link" FROM Users INNER JOIN Posts ON Posts.OwnerUserId = Users.Id INNER JOIN PostTags ON Posts.Id = PostTags.PostId INNER JOIN Tags ON Tags.Id = PostTags.TagId WHERE Tags.TagName LIKE 'identification' AND Posts.ParentId IS NULL AND Users.Id IN (SELECT Users.Id FROM Users INNER JOIN Posts ON Posts.OwnerUserId = Users.Id WHERE Posts.ParentId IS NULL GROUP BY Users.Id HAVING COUNT(Posts.Id) = 1) ORDER BY Users.Id DESC
|
WITH "_u_0" AS (SELECT "Users"."Id" FROM "Users" JOIN "Posts" ON "Posts"."OwnerUserId" = "Users"."Id" AND "Posts"."ParentId" IS NULL GROUP BY "Users"."Id", "Id" HAVING COUNT("Posts"."Id") = 1) SELECT "Users"."Id" AS "user_link", "Posts"."Id" AS "post_link" FROM "Users" JOIN "Posts" ON "Posts"."OwnerUserId" = "Users"."Id" AND "Posts"."ParentId" IS NULL LEFT JOIN "_u_0" AS "_u_0" ON "Users"."Id" = "_u_0"."" JOIN "PostTags" ON "PostTags"."PostId" = "Posts"."Id" JOIN "Tags" ON "PostTags"."TagId" = "Tags"."Id" AND "Tags"."TagName" LIKE 'identification' WHERE NOT "_u_0"."" IS NULL ORDER BY "Users"."Id" DESC NULLS LAST
| 0.604492 |
CREATE TABLE table_name_94 (total__kg_ INT, bodyweight VARCHAR, clean_ VARCHAR, _jerk VARCHAR)
|
What is the total (kg when the bodyweight is more than 57.8, and the clean & jerk is less than 103?
|
SELECT SUM(total__kg_) FROM table_name_94 WHERE bodyweight > 57.8 AND clean_ & _jerk < 103
|
SELECT SUM("total__kg_") FROM "table_name_94" WHERE "bodyweight" > 57.8 AND "clean_" & "_jerk" < 103
| 0.097656 |
CREATE TABLE table_203_222 (id DECIMAL, "category" TEXT, "#" DECIMAL, "name" TEXT, "hanzi" TEXT, "hanyu pinyin" TEXT, "population ( 2010 census ) " DECIMAL, "area ( km2 ) " DECIMAL, "density ( /km2 ) " DECIMAL)
|
is enping more/less dense than kaiping ?
|
SELECT (SELECT "density (/km2)" FROM table_203_222 WHERE "name" = 'enping') > (SELECT "density (/km2)" FROM table_203_222 WHERE "name" = 'kaiping')
|
SELECT (SELECT "density (/km2)" FROM "table_203_222" WHERE "name" = 'enping') > (SELECT "density (/km2)" FROM "table_203_222" WHERE "name" = 'kaiping')
| 0.147461 |
CREATE TABLE table_20497 ("No." FLOAT, "Date" TEXT, "Tournament" TEXT, "Winning score" TEXT, "To par" TEXT, "Margin of victory" TEXT, "Runner ( s ) -up" TEXT)
|
What was the winning score for the tournament with runner-up Rory Sabbatini?
|
SELECT "Winning score" FROM table_20497 WHERE "Runner(s)-up" = 'Rory Sabbatini'
|
SELECT "Winning score" FROM "table_20497" WHERE "Runner(s)-up" = 'Rory Sabbatini'
| 0.079102 |
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction 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 program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname 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 ta (campus_job_id INT, student_id INT, location VARCHAR)
|
What classes from the past has Dr. Silvana Papagerakis taught ?
|
SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, instructor, offering_instructor WHERE course_offering.semester < (SELECT SEMESTERalias0.semester_id FROM semester AS SEMESTERalias0 WHERE SEMESTERalias0.semester = 'WN' AND SEMESTERalias0.year = 2016) AND course.course_id = course_offering.course_id AND instructor.name LIKE '%Silvana Papagerakis%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id
|
SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" AS "SEMESTERalias0" ON "SEMESTERalias0"."semester" = 'WN' AND "SEMESTERalias0"."semester_id" > "course_offering"."semester" AND "SEMESTERalias0"."year" = 2016 JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%Silvana Papagerakis%'
| 0.570313 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
how many of the patients treated with drug lido2/5j had a lab test for cerebrospinal fluid (csf)?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.formulary_drug_cd = "LIDO2/5J" AND lab.fluid = "Cerebrospinal Fluid (CSF)"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Cerebrospinal Fluid (CSF)" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" JOIN "prescriptions" ON "LIDO2/5J" = "prescriptions"."formulary_drug_cd" AND "demographic"."hadm_id" = "prescriptions"."hadm_id"
| 0.293945 |
CREATE TABLE table_33953 ("Round" FLOAT, "Pick #" FLOAT, "Overall" FLOAT, "Name" TEXT, "Position" TEXT, "College" TEXT)
|
Who is from the College of Cincinnati?
|
SELECT "Name" FROM table_33953 WHERE "College" = 'cincinnati'
|
SELECT "Name" FROM "table_33953" WHERE "College" = 'cincinnati'
| 0.061523 |
CREATE TABLE table_21345 ("Date" TEXT, "Opponent" TEXT, "Venue" TEXT, "Result" TEXT, "Attendance" FLOAT, "Competition" TEXT, "Man of the Match" TEXT)
|
How many attendance figures are given for the game where the final score was lost 5-3?
|
SELECT COUNT("Attendance") FROM table_21345 WHERE "Result" = 'Lost 5-3'
|
SELECT COUNT("Attendance") FROM "table_21345" WHERE "Result" = 'Lost 5-3'
| 0.071289 |
CREATE TABLE table_465 ("Name" TEXT, "Pennant" TEXT, "Builder" TEXT, "Laid Down" TEXT, "Launched" TEXT, "Commissioned" TEXT, "Fate" TEXT)
|
What is the name for 30 september 1943?
|
SELECT "Name" FROM table_465 WHERE "Launched" = '30 September 1943'
|
SELECT "Name" FROM "table_465" WHERE "Launched" = '30 September 1943'
| 0.067383 |
CREATE TABLE table_203_506 (id DECIMAL, "opponent" TEXT, "played" DECIMAL, "won" DECIMAL, "lost" DECIMAL, "drawn" DECIMAL, "% won overall" TEXT)
|
what was the total number of countries that the england women 's rfu played against ?
|
SELECT COUNT("opponent") FROM table_203_506
|
SELECT COUNT("opponent") FROM "table_203_506"
| 0.043945 |
CREATE TABLE table_216776_2 (population__2010_ VARCHAR, municipality VARCHAR)
|
How many different counts of the population in Cavinti in 2010 are there?
|
SELECT COUNT(population__2010_) FROM table_216776_2 WHERE municipality = "Cavinti"
|
SELECT COUNT("population__2010_") FROM "table_216776_2" WHERE "Cavinti" = "municipality"
| 0.085938 |
CREATE TABLE table_2996 ("Municipality" TEXT, "Coakley votes" FLOAT, "Coakley %" TEXT, "Brown votes" FLOAT, "Brown %" TEXT, "Kennedy votes" FLOAT, "Kennedy %" TEXT, "Total vote" FLOAT, "Turnout %" TEXT)
|
What was the turnout percentage in the place that had 44.6% vote for brown?
|
SELECT "Turnout %" FROM table_2996 WHERE "Brown %" = '44.6%'
|
SELECT "Turnout %" FROM "table_2996" WHERE "Brown %" = '44.6%'
| 0.060547 |
CREATE TABLE table_31645 ("Tournament" TEXT, "1987" TEXT, "1988" TEXT, "1989" TEXT, "1990" TEXT, "1991" TEXT, "1992" TEXT, "1993" TEXT, "1994" TEXT, "1995" TEXT, "1996" TEXT, "1997" TEXT, "1998" TEXT, "1999" TEXT, "2000" TEXT, "2001" TEXT, "2002" TEXT, "2003" TEXT, "2004" TEXT, "2005" TEXT)
|
What Tournament of canada happened in 1998?
|
SELECT "1998" FROM table_31645 WHERE "Tournament" = 'canada'
|
SELECT "1998" FROM "table_31645" WHERE "Tournament" = 'canada'
| 0.060547 |
CREATE TABLE table_name_45 (goals INT, leading_scorer VARCHAR)
|
Leading Scorer of Ian rush is what lowest # of goals?
|
SELECT MIN(goals) FROM table_name_45 WHERE leading_scorer = "ian rush"
|
SELECT MIN("goals") FROM "table_name_45" WHERE "ian rush" = "leading_scorer"
| 0.074219 |
CREATE TABLE table_24411 ("Satellite" TEXT, "Launch date ( UTC ) " TEXT, "Decay" TEXT, "Mass ( kg ) " TEXT, "Diameter ( m ) " TEXT, "NSSDC ID" TEXT, "Nation" TEXT, "Usage" TEXT)
|
What was the launch date for the sattelite with ado that was 4 kg and 3 meters in diameter?
|
SELECT "Launch date (UTC)" FROM table_24411 WHERE "Usage" = 'ado' AND "Mass(kg)" = '4' AND "Diameter(m)" = '3'
|
SELECT "Launch date (UTC)" FROM "table_24411" WHERE "Diameter(m)" = '3' AND "Mass(kg)" = '4' AND "Usage" = 'ado'
| 0.109375 |
CREATE TABLE table_72604 ("Series #" FLOAT, "Season #" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" TEXT, "U.S. viewers ( million ) " TEXT)
|
How many viewers did the episode directed by David Nutter draw in?
|
SELECT "U.S. viewers (million)" FROM table_72604 WHERE "Directed by" = 'David Nutter'
|
SELECT "U.S. viewers (million)" FROM "table_72604" WHERE "Directed by" = 'David Nutter'
| 0.084961 |
CREATE TABLE table_39551 ("Tournament" TEXT, "1989" TEXT, "1990" TEXT, "1991" TEXT, "1992" TEXT, "1993" TEXT, "1994" TEXT, "1995" TEXT, "1996" TEXT, "1997" TEXT, "Career W\\u2013L" TEXT)
|
Which 1997's 1992 was 1r when 1994 was a?
|
SELECT "1997" FROM table_39551 WHERE "1992" = '1r' AND "1994" = 'a'
|
SELECT "1997" FROM "table_39551" WHERE "1992" = '1r' AND "1994" = 'a'
| 0.067383 |
CREATE TABLE table_72427 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Result" TEXT, "Candidates" TEXT)
|
What is the result for south carolina 4?
|
SELECT "Result" FROM table_72427 WHERE "District" = 'South Carolina 4'
|
SELECT "Result" FROM "table_72427" WHERE "District" = 'South Carolina 4'
| 0.070313 |
CREATE TABLE table_14302 ("Rank by average" FLOAT, "Competition finish" FLOAT, "Couple" TEXT, "Total" FLOAT, "Number of dances" FLOAT, "Average" FLOAT)
|
Name the most total with average less than 36.5 and rank by average of 14
|
SELECT MAX("Total") FROM table_14302 WHERE "Average" < '36.5' AND "Rank by average" = '14'
|
SELECT MAX("Total") FROM "table_14302" WHERE "Average" < '36.5' AND "Rank by average" = '14'
| 0.089844 |
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 employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE 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 regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
|
For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about salary over the job_id , and could you sort from high to low by the y-axis?
|
SELECT JOB_ID, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SALARY DESC
|
SELECT "JOB_ID", "SALARY" FROM "employees" WHERE NOT "DEPARTMENT_ID" IN (SELECT "DEPARTMENT_ID" FROM "departments" WHERE "MANAGER_ID" <= 200 AND "MANAGER_ID" >= 100) ORDER BY "SALARY" DESC NULLS LAST
| 0.194336 |
CREATE TABLE table_name_71 (range__varies_with_payload_weight_ VARCHAR, name_designation VARCHAR)
|
What is the range (varies by payload weight) for Shahab-4?
|
SELECT range__varies_with_payload_weight_ FROM table_name_71 WHERE name_designation = "shahab-4"
|
SELECT "range__varies_with_payload_weight_" FROM "table_name_71" WHERE "name_designation" = "shahab-4"
| 0.099609 |
CREATE TABLE table_13120 ("Mark" TEXT, "Wind*" TEXT, "Athlete" TEXT, "Nationality" TEXT, "Venue" TEXT, "Date" TEXT)
|
Which Mark has an Athlete of heike drechsler?
|
SELECT "Mark" FROM table_13120 WHERE "Athlete" = 'heike drechsler'
|
SELECT "Mark" FROM "table_13120" WHERE "Athlete" = 'heike drechsler'
| 0.066406 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
how many patients whose primary disease is coronary artery disease and admission year is less than 2203?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "CORONARY ARTERY DISEASE" AND demographic.admityear < "2203"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2203" > "demographic"."admityear" AND "CORONARY ARTERY DISEASE" = "demographic"."diagnosis"
| 0.163086 |
CREATE TABLE table_13566548_1 (autonomous_community VARCHAR, wind_power VARCHAR)
|
What is the community with a wind power of 1042?
|
SELECT autonomous_community FROM table_13566548_1 WHERE wind_power = 1042
|
SELECT "autonomous_community" FROM "table_13566548_1" WHERE "wind_power" = 1042
| 0.077148 |
CREATE TABLE table_23811 ("Date of opinion poll" TEXT, "Conductor" TEXT, "Sample size" FLOAT, "For" TEXT, "Against" TEXT, "Undecided" TEXT)
|
When was Quantum Research's poll conducted?
|
SELECT "Date of opinion poll" FROM table_23811 WHERE "Conductor" = 'Quantum Research'
|
SELECT "Date of opinion poll" FROM "table_23811" WHERE "Conductor" = 'Quantum Research'
| 0.084961 |
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 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 requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE ta (campus_job_id INT, student_id INT, location 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 area (course_id INT, area 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 offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category 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 program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
|
What is the Spring-Summer schedule for upper-level MO offerings ?
|
SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, program_course, semester WHERE course.course_id = course_offering.course_id AND course.department = 'MO' AND program_course.category LIKE '%ULCS%' AND program_course.course_id = course.course_id AND semester.semester = 'Spring-Summer' AND semester.semester_id = course_offering.semester AND semester.year = 2016
|
SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%ULCS%' JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'Spring-Summer' AND "semester"."year" = 2016 WHERE "course"."department" = 'MO'
| 0.460938 |
CREATE TABLE COURSE (Credits VARCHAR)
|
List all information about courses sorted by credits in the ascending order.
|
SELECT * FROM COURSE ORDER BY Credits
|
SELECT * FROM "COURSE" ORDER BY "Credits" NULLS FIRST
| 0.051758 |
CREATE TABLE table_name_68 (ra___j2000__ VARCHAR, name VARCHAR)
|
Which R.A. (J2000) has a Name of ngc 1543?
|
SELECT ra___j2000__ FROM table_name_68 WHERE name = "ngc 1543"
|
SELECT "ra___j2000__" FROM "table_name_68" WHERE "name" = "ngc 1543"
| 0.066406 |
CREATE TABLE table_17121262_9 (high_assists VARCHAR, date VARCHAR)
|
Who had the highest assists on March 18?
|
SELECT high_assists FROM table_17121262_9 WHERE date = "March 18"
|
SELECT "high_assists" FROM "table_17121262_9" WHERE "March 18" = "date"
| 0.069336 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE 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)
|
How many patients were admitted to hospital for percutaneous (endoscopic) gastrostomy (peg) before the year 2124?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2124" AND procedures.long_title = "Percutaneous [endoscopic] gastrostomy [PEG]"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "Percutaneous [endoscopic] gastrostomy [PEG]" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2124" > "demographic"."admityear"
| 0.250977 |
CREATE TABLE table_203_660 (id DECIMAL, "county" TEXT, "obama%" TEXT, "obama#" DECIMAL, "mccain%" TEXT, "mccain#" DECIMAL, "total" DECIMAL)
|
which county did mccain have the least amount of votes ?
|
SELECT "county" FROM table_203_660 ORDER BY "mccain#" LIMIT 1
|
SELECT "county" FROM "table_203_660" ORDER BY "mccain#" NULLS FIRST LIMIT 1
| 0.073242 |
CREATE TABLE table_74846 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Venue" TEXT, "Attendance" FLOAT)
|
What is the average attendance at a week 4 game?
|
SELECT AVG("Attendance") FROM table_74846 WHERE "Week" = '4'
|
SELECT AVG("Attendance") FROM "table_74846" WHERE "Week" = '4'
| 0.060547 |
CREATE TABLE assessment_notes (notes_id DECIMAL, student_id DECIMAL, teacher_id DECIMAL, date_of_notes TIME, text_of_notes TEXT, other_details TEXT)
CREATE TABLE behavior_incident (incident_id DECIMAL, incident_type_code TEXT, student_id DECIMAL, date_incident_start TIME, date_incident_end TIME, incident_summary TEXT, recommendations TEXT, other_details TEXT)
CREATE TABLE ref_detention_type (detention_type_code TEXT, detention_type_description TEXT)
CREATE TABLE teachers (teacher_id DECIMAL, address_id DECIMAL, first_name TEXT, middle_name TEXT, last_name TEXT, gender TEXT, cell_mobile_number TEXT, email_address TEXT, other_details TEXT)
CREATE TABLE ref_address_types (address_type_code TEXT, address_type_description TEXT)
CREATE TABLE addresses (address_id DECIMAL, line_1 TEXT, line_2 TEXT, line_3 TEXT, city TEXT, zip_postcode TEXT, state_province_county TEXT, country TEXT, other_address_details TEXT)
CREATE TABLE students (student_id DECIMAL, address_id DECIMAL, first_name TEXT, middle_name TEXT, last_name TEXT, cell_mobile_number TEXT, email_address TEXT, date_first_rental TIME, date_left_university TIME, other_student_details TEXT)
CREATE TABLE student_addresses (student_id DECIMAL, address_id DECIMAL, date_address_from TIME, date_address_to TIME, monthly_rental DECIMAL, other_details TEXT)
CREATE TABLE ref_incident_type (incident_type_code TEXT, incident_type_description TEXT)
CREATE TABLE detention (detention_id DECIMAL, detention_type_code TEXT, teacher_id DECIMAL, datetime_detention_start TIME, datetime_detention_end TIME, detention_summary TEXT, other_details TEXT)
CREATE TABLE students_in_detention (student_id DECIMAL, detention_id DECIMAL, incident_id DECIMAL)
|
What are the email addresses of teachers whose address has zip code '918'?
|
SELECT T2.email_address FROM addresses AS T1 JOIN teachers AS T2 ON T1.address_id = T2.address_id WHERE T1.zip_postcode = "918"
|
SELECT "T2"."email_address" FROM "addresses" AS "T1" JOIN "teachers" AS "T2" ON "T1"."address_id" = "T2"."address_id" WHERE "918" = "T1"."zip_postcode"
| 0.147461 |
CREATE TABLE table_14508 ("Rank" FLOAT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
|
Bronze larger than 2, and a Rank of 4, and a Total larger than 7 has how many numbers of gold?
|
SELECT AVG("Gold") FROM table_14508 WHERE "Bronze" > '2' AND "Rank" = '4' AND "Total" > '7'
|
SELECT AVG("Gold") FROM "table_14508" WHERE "Bronze" > '2' AND "Rank" = '4' AND "Total" > '7'
| 0.09082 |
CREATE TABLE table_3018 ("No." FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" TEXT, "U.S. viewers ( in millions ) " TEXT)
|
Name the total number of titles for 3x5655
|
SELECT COUNT("Title") FROM table_3018 WHERE "Production code" = '3X5655'
|
SELECT COUNT("Title") FROM "table_3018" WHERE "Production code" = '3X5655'
| 0.072266 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
give me the number of patients whose diagnoses icd9 code is 5570 and drug type is base?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.icd9_code = "5570" AND prescriptions.drug_type = "BASE"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "5570" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "BASE" = "prescriptions"."drug_type" AND "demographic"."hadm_id" = "prescriptions"."hadm_id"
| 0.283203 |
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
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 PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE FlagTypes (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 PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostHistoryTypes (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 SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
|
DBA.SE posts with >= 4 tags.
|
GO
|
"GO"
| 0.003906 |
CREATE TABLE table_22016 ("Club" TEXT, "Played" TEXT, "Won" TEXT, "Drawn" TEXT, "Lost" TEXT, "Points for" TEXT, "Points against" TEXT, "Tries for" TEXT, "Tries against" TEXT, "Try bonus" TEXT, "Losing bonus" TEXT, "Points" TEXT)
|
When 80 is the tries for what is the try bonus?
|
SELECT "Try bonus" FROM table_22016 WHERE "Tries for" = '80'
|
SELECT "Try bonus" FROM "table_22016" WHERE "Tries for" = '80'
| 0.060547 |
CREATE TABLE table_27611 ("Season" FLOAT, "Series" TEXT, "Team" TEXT, "Races" FLOAT, "Wins" FLOAT, "Poles" FLOAT, "F/Laps" FLOAT, "Podiums" FLOAT, "Points" TEXT, "Position" TEXT)
|
What was the series where a team scored 56 points?
|
SELECT "Series" FROM table_27611 WHERE "Points" = '56'
|
SELECT "Series" FROM "table_27611" WHERE "Points" = '56'
| 0.054688 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
give me the number of patients whose gender is m and ethnicity is black/african american?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.ethnicity = "BLACK/AFRICAN AMERICAN"
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SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "BLACK/AFRICAN AMERICAN" = "demographic"."ethnicity" AND "M" = "demographic"."gender"
| 0.15625 |
CREATE TABLE table_name_83 (march VARCHAR, year VARCHAR, average_monthly_additions_in_millions_ VARCHAR, january VARCHAR, december VARCHAR)
|
What was the total number for March with less than 8.77 in January, more than 1.69 in December, an average monthly addition less than 5.35, and before 2004?
|
SELECT COUNT(march) FROM table_name_83 WHERE january < 8.77 AND december > 1.69 AND average_monthly_additions_in_millions_ < 5.35 AND year < 2004
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SELECT COUNT("march") FROM "table_name_83" WHERE "average_monthly_additions_in_millions_" < 5.35 AND "december" > 1.69 AND "january" < 8.77 AND "year" < 2004
| 0.15332 |
CREATE TABLE table_57355 ("engine name" TEXT, "engine configuration" TEXT, "displacement" TEXT, "max. power at rpm" TEXT, "max. torque at rpm" TEXT)
|
What is the engine configuration of the 1.2 mpi engine?
|
SELECT "engine configuration" FROM table_57355 WHERE "engine name" = '1.2 mpi'
|
SELECT "engine configuration" FROM "table_57355" WHERE "engine name" = '1.2 mpi'
| 0.078125 |
CREATE TABLE Financial_Transactions (transaction_id INT, account_id INT, invoice_number INT, transaction_type VARCHAR, transaction_date DATETIME, transaction_amount DECIMAL, transaction_comment VARCHAR, other_transaction_details VARCHAR)
CREATE TABLE Product_Categories (production_type_code VARCHAR, product_type_description VARCHAR, vat_rating DECIMAL)
CREATE TABLE Customers (customer_id INT, customer_first_name VARCHAR, customer_middle_initial VARCHAR, customer_last_name VARCHAR, gender VARCHAR, email_address VARCHAR, login_name VARCHAR, login_password VARCHAR, phone_number VARCHAR, town_city VARCHAR, state_county_province VARCHAR, country VARCHAR)
CREATE TABLE Invoices (invoice_number INT, order_id INT, invoice_date DATETIME)
CREATE TABLE Products (product_id INT, parent_product_id INT, production_type_code VARCHAR, unit_price DECIMAL, product_name VARCHAR, product_color VARCHAR, product_size VARCHAR)
CREATE TABLE Invoice_Line_Items (order_item_id INT, invoice_number INT, product_id INT, product_title VARCHAR, product_quantity VARCHAR, product_price DECIMAL, derived_product_cost DECIMAL, derived_vat_payable DECIMAL, derived_total_cost DECIMAL)
CREATE TABLE Order_Items (order_item_id INT, order_id INT, product_id INT, product_quantity VARCHAR, other_order_item_details VARCHAR)
CREATE TABLE Accounts (account_id INT, customer_id INT, date_account_opened DATETIME, account_name VARCHAR, other_account_details VARCHAR)
CREATE TABLE Orders (order_id INT, customer_id INT, date_order_placed DATETIME, order_details VARCHAR)
|
Show the number of accounts for each customer in a bar chart grouping by customer's last name, and rank from high to low by the total number.
|
SELECT customer_last_name, COUNT(*) FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY COUNT(*) DESC
|
SELECT "customer_last_name", COUNT(*) FROM "Accounts" AS "T1" JOIN "Customers" AS "T2" ON "T1"."customer_id" = "T2"."customer_id" GROUP BY "T1"."customer_id" ORDER BY COUNT(*) DESC NULLS LAST
| 0.186523 |
CREATE TABLE table_45231 ("State" TEXT, "Type" TEXT, "Name" TEXT, "Title" TEXT, "Royal house" TEXT)
|
Who held the title of Ruler?
|
SELECT "Name" FROM table_45231 WHERE "Title" = 'ruler'
|
SELECT "Name" FROM "table_45231" WHERE "Title" = 'ruler'
| 0.054688 |
CREATE TABLE table_name_91 (date VARCHAR, score VARCHAR)
|
On what date was the game that had a score of 7 0?
|
SELECT date FROM table_name_91 WHERE score = "7–0"
|
SELECT "date" FROM "table_name_91" WHERE "7–0" = "score"
| 0.054688 |
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 much does it cost multivitamin-12.
|
SELECT DISTINCT cost.cost FROM cost WHERE cost.event_type = 'prescriptions' AND cost.event_id IN (SELECT prescriptions.row_id FROM prescriptions WHERE prescriptions.drug = 'multivitamin-12')
|
WITH "_u_0" AS (SELECT "prescriptions"."row_id" FROM "prescriptions" WHERE "prescriptions"."drug" = 'multivitamin-12' GROUP BY "row_id") SELECT DISTINCT "cost"."cost" FROM "cost" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "cost"."event_id" WHERE "cost"."event_type" = 'prescriptions' AND NOT "_u_0"."" IS NULL
| 0.300781 |
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
|
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, find hire_date and the average of department_id bin hire_date by weekday, and visualize them by a bar chart.
|
SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40
|
SELECT "HIRE_DATE", AVG("DEPARTMENT_ID") FROM "employees" WHERE ("COMMISSION_PCT" <> "null" OR "DEPARTMENT_ID" <> 40) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" <= 12000) AND ("DEPARTMENT_ID" <> 40 OR "SALARY" >= 8000)
| 0.208984 |
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
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what is the number of patients who died after diagnosis of nutritional deficiency within the same hospital visit until 1 year ago?
|
SELECT COUNT(DISTINCT t2.uniquepid) FROM (SELECT t1.uniquepid, t1.diagnosistime, t1.patienthealthsystemstayid FROM (SELECT patient.uniquepid, diagnosis.diagnosistime, patient.patienthealthsystemstayid FROM diagnosis JOIN patient ON diagnosis.patientunitstayid = patient.patientunitstayid WHERE diagnosis.diagnosisname = 'nutritional deficiency') AS t1 GROUP BY t1.uniquepid HAVING MIN(t1.diagnosistime) = t1.diagnosistime AND DATETIME(t1.diagnosistime) <= DATETIME(CURRENT_TIME(), '-1 year')) AS t2 JOIN (SELECT patient.uniquepid, patient.patienthealthsystemstayid, patient.hospitaldischargetime FROM patient WHERE patient.hospitaldischargestatus = 'expired') AS t3 ON t2.uniquepid = t3.uniquepid WHERE t2.patienthealthsystemstayid = t3.patienthealthsystemstayid
|
WITH "t2" AS (SELECT "patient"."uniquepid", "patient"."patienthealthsystemstayid" FROM "diagnosis" JOIN "patient" ON "diagnosis"."patientunitstayid" = "patient"."patientunitstayid" WHERE "diagnosis"."diagnosisname" = 'nutritional deficiency' GROUP BY "patient"."uniquepid" HAVING "diagnosis"."diagnosistime" = MIN("diagnosis"."diagnosistime") AND DATETIME("diagnosis"."diagnosistime") <= DATETIME(CURRENT_TIME(), '-1 year')) SELECT COUNT(DISTINCT "t2"."uniquepid") FROM "t2" AS "t2" JOIN "patient" ON "patient"."hospitaldischargestatus" = 'expired' AND "patient"."patienthealthsystemstayid" = "t2"."patienthealthsystemstayid" AND "patient"."uniquepid" = "t2"."uniquepid"
| 0.654297 |
CREATE TABLE table_20107762_1 (games INT, mins VARCHAR)
|
What is the game number with 385:33 mins?
|
SELECT MIN(games) FROM table_20107762_1 WHERE mins = "385:33"
|
SELECT MIN("games") FROM "table_20107762_1" WHERE "385:33" = "mins"
| 0.06543 |
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE 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 (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 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 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 gsi (course_offering_id INT, student_id INT)
|
Did Prof. Janet Kinney make an examination for 634 last time she taught it ?
|
SELECT DISTINCT course_offering.has_final_exam FROM course_offering INNER JOIN course ON course.course_id = course_offering.course_id INNER JOIN offering_instructor ON offering_instructor.offering_id = course_offering.offering_id INNER JOIN instructor ON offering_instructor.instructor_id = instructor.instructor_id WHERE course_offering.semester = (SELECT MAX(SEMESTERalias0.semester_id) FROM semester AS SEMESTERalias0 INNER JOIN course_offering AS COURSE_OFFERINGalias1 ON SEMESTERalias0.semester_id = COURSE_OFFERINGalias1.semester INNER JOIN course AS COURSEalias1 ON COURSEalias1.course_id = COURSE_OFFERINGalias1.course_id INNER JOIN offering_instructor AS OFFERING_INSTRUCTORalias1 ON OFFERING_INSTRUCTORalias1.offering_id = COURSE_OFFERINGalias1.offering_id INNER JOIN instructor AS INSTRUCTORalias1 ON OFFERING_INSTRUCTORalias1.instructor_id = INSTRUCTORalias1.instructor_id WHERE COURSEalias1.department = 'EECS' AND COURSEalias1.number = 634 AND INSTRUCTORalias1.name LIKE '%Janet Kinney%' AND SEMESTERalias0.year < 2016) AND course.department = 'EECS' AND course.number = 634 AND instructor.name LIKE '%Janet Kinney%'
|
WITH "_u_0" AS (SELECT MAX("SEMESTERalias0"."semester_id") FROM "semester" AS "SEMESTERalias0" JOIN "course_offering" AS "COURSE_OFFERINGalias1" ON "COURSE_OFFERINGalias1"."semester" = "SEMESTERalias0"."semester_id" JOIN "course" AS "COURSEalias1" ON "COURSE_OFFERINGalias1"."course_id" = "COURSEalias1"."course_id" AND "COURSEalias1"."department" = 'EECS' AND "COURSEalias1"."number" = 634 JOIN "offering_instructor" AS "OFFERING_INSTRUCTORalias1" ON "COURSE_OFFERINGalias1"."offering_id" = "OFFERING_INSTRUCTORalias1"."offering_id" JOIN "instructor" AS "INSTRUCTORalias1" ON "INSTRUCTORalias1"."instructor_id" = "OFFERING_INSTRUCTORalias1"."instructor_id" AND "INSTRUCTORalias1"."name" LIKE '%Janet Kinney%' WHERE "SEMESTERalias0"."year" < 2016) SELECT DISTINCT "course_offering"."has_final_exam" FROM "course_offering" JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "course_offering"."semester" JOIN "course" ON "course"."course_id" = "course_offering"."course_id" AND "course"."department" = 'EECS' AND "course"."number" = 634 JOIN "offering_instructor" ON "course_offering"."offering_id" = "offering_instructor"."offering_id" JOIN "instructor" ON "instructor"."instructor_id" = "offering_instructor"."instructor_id" AND "instructor"."name" LIKE '%Janet Kinney%'
| 1.226563 |
CREATE TABLE table_39964 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
|
What is the High points with a Date that is january 20?
|
SELECT "High points" FROM table_39964 WHERE "Date" = 'january 20'
|
SELECT "High points" FROM "table_39964" WHERE "Date" = 'january 20'
| 0.06543 |
CREATE TABLE Movie (mID INT, title TEXT, year INT, director TEXT)
CREATE TABLE Rating (rID INT, mID INT, stars INT, ratingDate DATE)
CREATE TABLE Reviewer (rID INT, name TEXT)
|
Please visualize a bar chart, that the X-axis is the director and the Y-axis is thier corresponding lowest rating among all movies, display Y in desc order.
|
SELECT director, MIN(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY director ORDER BY MIN(T1.stars) DESC
|
SELECT "director", MIN("T1"."stars") FROM "Rating" AS "T1" JOIN "Movie" AS "T2" ON "T1"."mID" = "T2"."mID" GROUP BY "director" ORDER BY MIN("T1"."stars") DESC NULLS LAST
| 0.165039 |
CREATE TABLE neighborhood (id INT, business_id VARCHAR, neighborhood_name VARCHAR)
CREATE TABLE business (bid INT, business_id VARCHAR, name VARCHAR, full_address VARCHAR, city VARCHAR, latitude VARCHAR, longitude VARCHAR, review_count BIGINT, is_open TINYINT, rating FLOAT, state VARCHAR)
CREATE TABLE category (id INT, business_id VARCHAR, category_name VARCHAR)
CREATE TABLE checkin (cid INT, business_id VARCHAR, count INT, day VARCHAR)
CREATE TABLE tip (tip_id INT, business_id VARCHAR, text TEXT, user_id VARCHAR, likes INT, year INT, month VARCHAR)
CREATE TABLE user (uid INT, user_id VARCHAR, name VARCHAR)
CREATE TABLE review (rid INT, business_id VARCHAR, user_id VARCHAR, rating FLOAT, text TEXT, year INT, month VARCHAR)
|
find the number of restaurant rated more than 3.5
|
SELECT COUNT(DISTINCT (business.name)) FROM business, category WHERE business.rating > 3.5 AND category.business_id = business.business_id AND category.category_name = 'restaurant'
|
SELECT COUNT(DISTINCT "business"."name") FROM "business" JOIN "category" ON "business"."business_id" = "category"."business_id" AND "category"."category_name" = 'restaurant' WHERE "business"."rating" > 3.5
| 0.200195 |
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 vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE 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)
|
calculate the number of patients who had been discharged from hospital since 2102.
|
SELECT COUNT(DISTINCT patient.uniquepid) FROM patient WHERE NOT patient.hospitaldischargetime IS NULL AND STRFTIME('%y', patient.hospitaldischargetime) >= '2102'
|
SELECT COUNT(DISTINCT "patient"."uniquepid") FROM "patient" WHERE NOT "patient"."hospitaldischargetime" IS NULL AND STRFTIME('%y', "patient"."hospitaldischargetime") >= '2102'
| 0.170898 |
CREATE TABLE table_name_11 (venue VARCHAR, opposing_teams VARCHAR, date VARCHAR)
|
Which venue was the opposing team New Zealand on 22/11/1997?
|
SELECT venue FROM table_name_11 WHERE opposing_teams = "new zealand" AND date = "22/11/1997"
|
SELECT "venue" FROM "table_name_11" WHERE "22/11/1997" = "date" AND "new zealand" = "opposing_teams"
| 0.097656 |
CREATE TABLE table_71768 ("Tournament" TEXT, "Wins" FLOAT, "Top-25" FLOAT, "Events" FLOAT, "Cuts made" FLOAT)
|
What is the highest number of wins a tournament with 1 cuts made, a top-25 less than 1, and less than 2 events has?
|
SELECT MAX("Wins") FROM table_71768 WHERE "Cuts made" = '1' AND "Top-25" < '1' AND "Events" < '2'
|
SELECT MAX("Wins") FROM "table_71768" WHERE "Cuts made" = '1' AND "Events" < '2' AND "Top-25" < '1'
| 0.09668 |
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
|
For all employees who have the letters D or S in their first name, for salary, hire_date, visualize the trend, and could you order by the x axis from high to low?
|
SELECT HIRE_DATE, SALARY FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY HIRE_DATE DESC
|
SELECT "HIRE_DATE", "SALARY" FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' ORDER BY "HIRE_DATE" DESC NULLS LAST
| 0.135742 |
CREATE TABLE table_35291 ("Date" TEXT, "Tournament" TEXT, "Winning score" TEXT, "Margin of victory" TEXT, "Runner ( s ) -up" TEXT)
|
What is the winning score of the tournament on 16 May 1993?
|
SELECT "Winning score" FROM table_35291 WHERE "Date" = '16 may 1993'
|
SELECT "Winning score" FROM "table_35291" WHERE "Date" = '16 may 1993'
| 0.068359 |
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 procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
Report the number of patients with left femur fracture primary disease who died in or before 2115.
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SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "LEFT FEMUR FRACTURE" AND demographic.dod_year <= "2115.0"
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SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" WHERE "2115.0" >= "demographic"."dod_year" AND "LEFT FEMUR FRACTURE" = "demographic"."diagnosis"
| 0.161133 |
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, show me about the distribution of name and revenue , and group by attribute name in a bar chart, display in descending by the bars.
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SELECT T1.Name, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name, T1.Name ORDER BY T1.Name DESC
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SELECT "T1"."Name", "T2"."Revenue" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "T1"."Name", "T1"."Name" ORDER BY "T1"."Name" DESC NULLS LAST
| 0.19043 |
CREATE TABLE table_12441518_1 (recurring_cast_seasons VARCHAR, character VARCHAR)
|
What seasons does Nick Lucas appear in?
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SELECT recurring_cast_seasons FROM table_12441518_1 WHERE character = "Nick Lucas"
|
SELECT "recurring_cast_seasons" FROM "table_12441518_1" WHERE "Nick Lucas" = "character"
| 0.085938 |
CREATE TABLE table_name_31 (production_year VARCHAR)
|
What is the average 2002 value for Sunflower, which had a 2010 value less than 5587 and a 2007 value greater than 546?
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SELECT AVG(2002) FROM table_name_31 WHERE 2010 < 5587 AND production_year = "sunflower" AND 2007 > 546
|
SELECT AVG(2002) FROM "table_name_31" WHERE "production_year" = "sunflower"
| 0.073242 |
CREATE TABLE table_33236 ("Region" TEXT, "Host" TEXT, "Venue" TEXT, "City" TEXT, "State" TEXT)
|
In which region is the Thompson-Boling arena located?
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SELECT "Region" FROM table_33236 WHERE "Venue" = 'thompson-boling arena'
|
SELECT "Region" FROM "table_33236" WHERE "Venue" = 'thompson-boling arena'
| 0.072266 |
CREATE TABLE table_100518_1 (direction VARCHAR, weapon VARCHAR)
|
What are the directions for the guardian whose weapon is kha ga (sword)?
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SELECT direction FROM table_100518_1 WHERE weapon = "Khaḍga (sword)"
|
SELECT "direction" FROM "table_100518_1" WHERE "Khaḍga (sword)" = "weapon"
| 0.072266 |
CREATE TABLE order_items (order_item_id VARCHAR, product_id VARCHAR)
|
Find the ids of all the order items whose product id is 11.
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SELECT order_item_id FROM order_items WHERE product_id = 11
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SELECT "order_item_id" FROM "order_items" WHERE "product_id" = 11
| 0.063477 |
CREATE TABLE table_66984 ("Ship" TEXT, "Pennant number" TEXT, "Laid down" TEXT, "Launched" TEXT, "Completed" TEXT)
|
Name the launched for 13 september 1934 completion
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SELECT "Launched" FROM table_66984 WHERE "Completed" = '13 september 1934'
|
SELECT "Launched" FROM "table_66984" WHERE "Completed" = '13 september 1934'
| 0.074219 |
CREATE TABLE table_2761641_1 (rebounds_per_game VARCHAR, tournament VARCHAR)
|
How many rebounds per game did he have at the 2006 fiba world championship?
|
SELECT rebounds_per_game FROM table_2761641_1 WHERE tournament = "2006 FIBA World Championship"
|
SELECT "rebounds_per_game" FROM "table_2761641_1" WHERE "2006 FIBA World Championship" = "tournament"
| 0.098633 |
CREATE TABLE table_23079 ("Rank" TEXT, "Name" TEXT, "Lifespan" TEXT, "Country" TEXT, "Wins" FLOAT, "Majors" FLOAT, "Winning span" TEXT, "Span ( years ) " FLOAT)
|
What is the winning span with the rank of 5?
|
SELECT "Winning span" FROM table_23079 WHERE "Rank" = '5'
|
SELECT "Winning span" FROM "table_23079" WHERE "Rank" = '5'
| 0.057617 |
CREATE TABLE table_14460937_2 (points__total_500_ VARCHAR, pos VARCHAR)
|
how many points (total 500) with pos being 11
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SELECT COUNT(points__total_500_) FROM table_14460937_2 WHERE pos = 11
|
SELECT COUNT("points__total_500_") FROM "table_14460937_2" WHERE "pos" = 11
| 0.073242 |
CREATE TABLE table_name_49 (recent_bmi VARCHAR, start_bmi VARCHAR, season VARCHAR)
|
What is the recent BMI on season 8 for the person who's BMI started under 46.3?
|
SELECT recent_bmi FROM table_name_49 WHERE start_bmi < 46.3 AND season = "season 8"
|
SELECT "recent_bmi" FROM "table_name_49" WHERE "season 8" = "season" AND "start_bmi" < 46.3
| 0.088867 |
CREATE TABLE table_name_5 (tournament VARCHAR, opponent VARCHAR)
|
In what tournament did Cipolla face Sergio Roitman?
|
SELECT tournament FROM table_name_5 WHERE opponent = "sergio roitman"
|
SELECT "tournament" FROM "table_name_5" WHERE "opponent" = "sergio roitman"
| 0.073242 |
CREATE TABLE table_25129482_1 (kitmaker VARCHAR, club VARCHAR)
|
Who is the kitmaker for TPS?
|
SELECT kitmaker FROM table_25129482_1 WHERE club = "TPS"
|
SELECT "kitmaker" FROM "table_25129482_1" WHERE "TPS" = "club"
| 0.060547 |
CREATE TABLE table_name_52 (round VARCHAR, date VARCHAR)
|
What is the round on 26 August 1995?
|
SELECT round FROM table_name_52 WHERE date = "26 august 1995"
|
SELECT "round" FROM "table_name_52" WHERE "26 august 1995" = "date"
| 0.06543 |
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name 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 compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare 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 class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt 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 month (month_number INT, month_name TEXT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
|
please show me the return flight number from TORONTO to ST. PETERSBURG
|
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 = 'TORONTO' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ST. PETERSBURG' 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" = 'TORONTO' 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" = 'ST. PETERSBURG'
| 0.500977 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
|
what is primary disease and discharge time of subject id 18372?
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SELECT demographic.diagnosis, demographic.dischtime FROM demographic WHERE demographic.subject_id = "18372"
|
SELECT "demographic"."diagnosis", "demographic"."dischtime" FROM "demographic" WHERE "18372" = "demographic"."subject_id"
| 0.118164 |
CREATE TABLE table_21313327_1 (title VARCHAR, us_viewers__millions_ VARCHAR)
|
what was the name of the episode that got 3.3 (millions) of u.s viewers?
|
SELECT title FROM table_21313327_1 WHERE us_viewers__millions_ = "3.3"
|
SELECT "title" FROM "table_21313327_1" WHERE "3.3" = "us_viewers__millions_"
| 0.074219 |
CREATE TABLE submission (Submission_ID INT, Scores FLOAT, Author TEXT, College TEXT)
CREATE TABLE workshop (Workshop_ID INT, Date TEXT, Venue TEXT, Name TEXT)
CREATE TABLE Acceptance (Submission_ID INT, Workshop_ID INT, Result TEXT)
|
Show each author and the number of workshops they submitted to with a bar chart, and display by the x-axis from low to high.
|
SELECT Author, COUNT(DISTINCT T1.Workshop_ID) FROM Acceptance AS T1 JOIN submission AS T2 ON T1.Submission_ID = T2.Submission_ID ORDER BY Author
|
SELECT "Author", COUNT(DISTINCT "T1"."Workshop_ID") FROM "Acceptance" AS "T1" JOIN "submission" AS "T2" ON "T1"."Submission_ID" = "T2"."Submission_ID" ORDER BY "Author" NULLS FIRST
| 0.175781 |
CREATE TABLE table_16057 ("Camp" TEXT, "Estimated deaths" TEXT, "Operational" TEXT, "Occupied territory" TEXT, "Current country of location" TEXT, "Primary means for mass killings" TEXT)
|
what's the occupied territory with estimated deaths of 600,000
|
SELECT "Occupied territory" FROM table_16057 WHERE "Estimated deaths" = '600,000'
|
SELECT "Occupied territory" FROM "table_16057" WHERE "Estimated deaths" = '600,000'
| 0.081055 |
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE 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 FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE 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)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
|
Questions by Comments and Tag.
|
SELECT * FROM Posts AS Questions INNER JOIN PostTags ON PostTags.PostId = Questions.Id INNER JOIN Tags ON Tags.Id = PostTags.TagId INNER JOIN Comments ON Comments.Id = Questions.Id WHERE Tags.TagName = @Tag ORDER BY ViewCount DESC LIMIT 50
|
SELECT * FROM "Posts" AS "Questions" JOIN "Comments" ON "Comments"."Id" = "Questions"."Id" JOIN "PostTags" ON "PostTags"."PostId" = "Questions"."Id" JOIN "Tags" ON "PostTags"."TagId" = "Tags"."Id" AND "Tags"."TagName" = $Tag ORDER BY "ViewCount" DESC NULLS LAST LIMIT 50
| 0.263672 |
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE 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 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 microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE 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 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 d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE 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)
|
when had patient 739 had the last urine out foley output on the current intensive care unit visit?
|
SELECT outputevents.charttime FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 739) AND icustays.outtime IS NULL) AND outputevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'urine out foley' AND d_items.linksto = 'outputevents') ORDER BY outputevents.charttime DESC LIMIT 1
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 739 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE "icustays"."outtime" IS NULL AND NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'urine out foley' AND "d_items"."linksto" = 'outputevents' GROUP BY "itemid") SELECT "outputevents"."charttime" FROM "outputevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "outputevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "outputevents"."itemid" WHERE NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "outputevents"."charttime" DESC NULLS LAST LIMIT 1
| 0.769531 |
CREATE TABLE entrepreneur (Entrepreneur_ID INT, People_ID INT, Company TEXT, Money_Requested FLOAT, Investor TEXT)
CREATE TABLE people (People_ID INT, Name TEXT, Height FLOAT, Weight FLOAT, Date_of_Birth TEXT)
|
Draw a bar chart of investor versus the total number, and could you list bars from high to low order?
|
SELECT Investor, COUNT(*) FROM entrepreneur GROUP BY Investor ORDER BY Investor DESC
|
SELECT "Investor", COUNT(*) FROM "entrepreneur" GROUP BY "Investor" ORDER BY "Investor" DESC NULLS LAST
| 0.100586 |
CREATE TABLE table_20687 ("Year" FLOAT, "Starts" FLOAT, "Wins" FLOAT, "Top 10" FLOAT, "Avg. Start" TEXT, "Avg. Finish" TEXT, "Winnings" TEXT, "Position" TEXT, "Team ( s ) " TEXT)
|
How many years did he finish in 59th?
|
SELECT COUNT("Avg. Start") FROM table_20687 WHERE "Position" = '59th'
|
SELECT COUNT("Avg. Start") FROM "table_20687" WHERE "Position" = '59th'
| 0.069336 |
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
|
For those employees who did not have any job in the past, give me the comparison about the sum of employee_id over the hire_date bin hire_date by weekday by a bar chart.
|
SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history)
|
SELECT "HIRE_DATE", SUM("EMPLOYEE_ID") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history")
| 0.121094 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
|
what is the number of patients whose ethnicity is asian and drug name is neo*po*mct oil?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "ASIAN" AND prescriptions.drug = "NEO*PO*MCT Oil"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "NEO*PO*MCT Oil" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "ASIAN" = "demographic"."ethnicity"
| 0.226563 |
CREATE TABLE table_38984 ("Date" TEXT, "Venue" TEXT, "Score" TEXT, "Result" TEXT, "Competition" TEXT)
|
What is the Score of 2007 afc asian cup qualification with a Result of 8 0?
|
SELECT "Score" FROM table_38984 WHERE "Competition" = '2007 afc asian cup qualification' AND "Result" = '8–0'
|
SELECT "Score" FROM "table_38984" WHERE "Competition" = '2007 afc asian cup qualification' AND "Result" = '8–0'
| 0.108398 |
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE 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 instructor (instructor_id INT, name VARCHAR, uniqname 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 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 program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip 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 requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
|
For my Core , which courses qualify ?
|
SELECT DISTINCT course.department, course.name, course.number FROM course, program_course WHERE program_course.category LIKE '%Core%' AND program_course.course_id = course.course_id
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SELECT DISTINCT "course"."department", "course"."name", "course"."number" FROM "course" JOIN "program_course" ON "course"."course_id" = "program_course"."course_id" AND "program_course"."category" LIKE '%Core%'
| 0.205078 |
CREATE TABLE table_55846 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
What was the home teams score at Junction Oval?
|
SELECT "Home team score" FROM table_55846 WHERE "Venue" = 'junction oval'
|
SELECT "Home team score" FROM "table_55846" WHERE "Venue" = 'junction oval'
| 0.073242 |
CREATE TABLE table_name_6 (position VARCHAR, player VARCHAR)
|
What position does Zack Torquato play?
|
SELECT position FROM table_name_6 WHERE player = "zack torquato"
|
SELECT "position" FROM "table_name_6" WHERE "player" = "zack torquato"
| 0.068359 |
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