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CREATE TABLE table_name_74 (games_lost INT, points_against VARCHAR, points_difference VARCHAR)
|
Which Games lost has Points against of 61, and Points difference smaller than 42?
|
SELECT SUM(games_lost) FROM table_name_74 WHERE points_against = 61 AND points_difference < 42
|
SELECT SUM("games_lost") FROM "table_name_74" WHERE "points_against" = 61 AND "points_difference" < 42
| 0.099609 |
CREATE TABLE table_34089 ("Driver" TEXT, "Points" FLOAT, "Season" FLOAT, "Races" FLOAT, "Percentage of possible points" TEXT)
|
Which races have points greater than 123, fernando alonso as the driver and a percentage of possible points of 74.44%?
|
SELECT "Races" FROM table_34089 WHERE "Points" > '123' AND "Driver" = 'fernando alonso' AND "Percentage of possible points" = '74.44%'
|
SELECT "Races" FROM "table_34089" WHERE "Driver" = 'fernando alonso' AND "Percentage of possible points" = '74.44%' AND "Points" > '123'
| 0.132813 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
|
how many urgent hospital admission patients have diagnoses icd9 code 99813?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "URGENT" AND diagnoses.icd9_code = "99813"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "99813" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "URGENT" = "demographic"."admission_type"
| 0.216797 |
CREATE TABLE table_name_86 (lecturers INT, department VARCHAR, full_professors VARCHAR)
|
What is the least amount of lecturers in the accounting department with less than 5 full professors?
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SELECT MIN(lecturers) FROM table_name_86 WHERE department = "accounting" AND full_professors < 5
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SELECT MIN("lecturers") FROM "table_name_86" WHERE "accounting" = "department" AND "full_professors" < 5
| 0.101563 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
|
count the number of elective hospital admission patients with diagnoses icd9 code 7761.
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND diagnoses.icd9_code = "7761"
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SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "7761" = "diagnoses"."icd9_code" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "ELECTIVE" = "demographic"."admission_type"
| 0.217773 |
CREATE TABLE table_name_13 (game VARCHAR, score VARCHAR)
|
Score of new york yankees 2, brooklyn dodgers 3 involves how many number of games?
|
SELECT COUNT(game) FROM table_name_13 WHERE score = "new york yankees – 2, brooklyn dodgers – 3"
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SELECT COUNT("game") FROM "table_name_13" WHERE "new york yankees – 2, brooklyn dodgers – 3" = "score"
| 0.099609 |
CREATE TABLE table_4310 ("Time Period" TEXT, "Position" TEXT, "Bureau" TEXT, "Office" TEXT, "District Attorney" TEXT)
|
Tell me the DA for bureau chief ada
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SELECT "District Attorney" FROM table_4310 WHERE "Position" = 'bureau chief ada'
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SELECT "District Attorney" FROM "table_4310" WHERE "Position" = 'bureau chief ada'
| 0.080078 |
CREATE TABLE table_name_61 (lead VARCHAR, season VARCHAR, skip VARCHAR, second VARCHAR)
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Who was the lead with Pete Fenson as skip and Joe Polo as second in season 2005 06?
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SELECT lead FROM table_name_61 WHERE skip = "pete fenson" AND second = "joe polo" AND season = "2005–06"
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SELECT "lead" FROM "table_name_61" WHERE "2005–06" = "season" AND "joe polo" = "second" AND "pete fenson" = "skip"
| 0.111328 |
CREATE TABLE table_52478 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Venue" TEXT, "Crowd" FLOAT, "Date" TEXT)
|
For the away team with a score of 14.7 (91) what was the home team?
|
SELECT "Home team" FROM table_52478 WHERE "Away team score" = '14.7 (91)'
|
SELECT "Home team" FROM "table_52478" WHERE "Away team score" = '14.7 (91)'
| 0.073242 |
CREATE TABLE table_1857 ("Class" TEXT, "Team" TEXT, "103lbs" TEXT, "112lbs" TEXT, "119lbs" TEXT, "125lbs" TEXT, "130lbs" TEXT, "135lbs" TEXT, "140lbs" TEXT)
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Who weighed 135lbs that was in the same class as Treveor Grant (Lowry) at 119 lbs?
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SELECT "135lbs" FROM table_1857 WHERE "119lbs" = 'Treveor Grant (Lowry)'
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SELECT "135lbs" FROM "table_1857" WHERE "119lbs" = 'Treveor Grant (Lowry)'
| 0.072266 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE 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 whose age is less than 68 and drug name is vancomycin?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "68" AND prescriptions.drug = "Vancomycin"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Vancomycin" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "68" > "demographic"."age"
| 0.213867 |
CREATE TABLE Products (Code INT, Name VARCHAR, Price DECIMAL, Manufacturer INT)
CREATE TABLE Manufacturers (Code INT, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)
|
For those records from the products and each product's manufacturer, a scatter chart shows the correlation between price and manufacturer , and group by attribute founder.
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SELECT Price, Manufacturer FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder
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SELECT "Price", "Manufacturer" FROM "Products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."Manufacturer" = "T2"."Code" GROUP BY "Founder"
| 0.135742 |
CREATE TABLE table_29087004_2 (series__number INT, united_states_original_airdate VARCHAR)
|
What number episode in the series had and original United States air date of December 24, 2010?
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SELECT MAX(series__number) FROM table_29087004_2 WHERE united_states_original_airdate = "December 24, 2010"
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SELECT MAX("series__number") FROM "table_29087004_2" WHERE "December 24, 2010" = "united_states_original_airdate"
| 0.110352 |
CREATE TABLE table_20747 ("Home team" TEXT, "Home team score" TEXT, "Away team" TEXT, "Away team score" TEXT, "Ground" TEXT, "Date" TEXT, "Crowd" FLOAT)
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Name the home team for football park
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SELECT "Home team" FROM table_20747 WHERE "Ground" = 'Football Park'
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SELECT "Home team" FROM "table_20747" WHERE "Ground" = 'Football Park'
| 0.068359 |
CREATE TABLE table_57987 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Decision" TEXT, "Attendance" FLOAT, "Record" TEXT)
|
What was the decision on october 5?
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SELECT "Decision" FROM table_57987 WHERE "Date" = 'october 5'
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SELECT "Decision" FROM "table_57987" WHERE "Date" = 'october 5'
| 0.061523 |
CREATE TABLE table_203_440 (id DECIMAL, "rank" DECIMAL, "player" TEXT, "from" TEXT, "to" TEXT, "transfer fee\ ( \\u20ac million ) " DECIMAL, "year" DECIMAL)
|
how many players were transferred after the year 2000 ?
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SELECT COUNT("player") FROM table_203_440 WHERE "year" > 2000
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SELECT COUNT("player") FROM "table_203_440" WHERE "year" > 2000
| 0.061523 |
CREATE TABLE table_3421 ("Player" TEXT, "G" FLOAT, "Solo TK" FLOAT, "Asst. TK" FLOAT, "Total TK" FLOAT, "Sack" TEXT, "YdL" FLOAT, "INT" FLOAT, "Yards" FLOAT, "ForFum" FLOAT, "FumRec" FLOAT, "TD" FLOAT)
|
What is the ydi minimum?
|
SELECT MIN("YdL") FROM table_3421
|
SELECT MIN("YdL") FROM "table_3421"
| 0.03418 |
CREATE TABLE table_204_538 (id DECIMAL, "pos." DECIMAL, "driver" TEXT, "co-driver" TEXT, "car" TEXT, "time" TEXT)
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who was the co driver of the first place driver ?
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SELECT "co-driver" FROM table_204_538 WHERE "pos." = 1
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SELECT "co-driver" FROM "table_204_538" WHERE "pos." = 1
| 0.054688 |
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (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 ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment 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 PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE 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 VoteTypes (Id DECIMAL, Name TEXT)
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 PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name 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 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 CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE FlagTypes (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 Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
|
ORDER BY - first posts by CreationDate.
|
SELECT Id, CreationDate, Title, Body FROM dbo.Posts ORDER BY CreationDate LIMIT 10
|
SELECT "Id", "CreationDate", "Title", "Body" FROM "dbo"."Posts" ORDER BY "CreationDate" NULLS FIRST LIMIT 10
| 0.105469 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE 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)
|
count the number of patients whose admission year is less than 2187 and procedure long title is (aorto)coronary bypass of one coronary artery?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2187" AND procedures.long_title = "(Aorto)coronary bypass of one coronary artery"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "(Aorto)coronary bypass of one coronary artery" = "procedures"."long_title" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "2187" > "demographic"."admityear"
| 0.25293 |
CREATE TABLE table_20271 ("No." FLOAT, "Date" TEXT, "Tournament" TEXT, "Winning score" TEXT, "To par" TEXT, "Margin of victory" TEXT, "Runner ( s ) -up" TEXT)
|
Name the number of numbers for howard clark
|
SELECT COUNT("No.") FROM table_20271 WHERE "Runner(s)-up" = 'Howard Clark'
|
SELECT COUNT("No.") FROM "table_20271" WHERE "Runner(s)-up" = 'Howard Clark'
| 0.074219 |
CREATE TABLE table_203_452 (id DECIMAL, "pos" DECIMAL, "no" DECIMAL, "driver" TEXT, "team" TEXT, "laps" DECIMAL, "time/retired" TEXT, "grid" DECIMAL, "points" DECIMAL)
|
sebastien bourdais and graham rahal raced for which team ?
|
SELECT "team" FROM table_203_452 WHERE "driver" = 'sebastien bourdais'
|
SELECT "team" FROM "table_203_452" WHERE "driver" = 'sebastien bourdais'
| 0.070313 |
CREATE TABLE university (School_ID INT, School TEXT, Location TEXT, Founded FLOAT, Affiliation TEXT, Enrollment FLOAT, Nickname TEXT, Primary_conference TEXT)
CREATE TABLE basketball_match (Team_ID INT, School_ID INT, Team_Name TEXT, ACC_Regular_Season TEXT, ACC_Percent TEXT, ACC_Home TEXT, ACC_Road TEXT, All_Games TEXT, All_Games_Percent INT, All_Home TEXT, All_Road TEXT, All_Neutral TEXT)
|
Draw a bar chart about the distribution of ACC_Road and the amount of ACC_Road , and group by attribute ACC_Road, and display bars in asc order please.
|
SELECT ACC_Road, COUNT(ACC_Road) FROM basketball_match GROUP BY ACC_Road ORDER BY ACC_Road
|
SELECT "ACC_Road", COUNT("ACC_Road") FROM "basketball_match" GROUP BY "ACC_Road" ORDER BY "ACC_Road" NULLS FIRST
| 0.109375 |
CREATE TABLE table_name_78 (order_and_title VARCHAR, elevated VARCHAR, elector VARCHAR)
|
With a date of May 1262 under elevated, Guillaume de Bray as the elector, what is the order and title?
|
SELECT order_and_title FROM table_name_78 WHERE elevated = "may 1262" AND elector = "guillaume de bray"
|
SELECT "order_and_title" FROM "table_name_78" WHERE "elector" = "guillaume de bray" AND "elevated" = "may 1262"
| 0.108398 |
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 ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE FlagTypes (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 Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE 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 TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
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 Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewTaskStates (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 ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
|
TecBrat's Postive Score Answers on ELL.
|
SELECT Id FROM Posts WHERE OwnerUserId = 1811 AND PostTypeId = 2 AND Score > 1
|
SELECT "Id" FROM "Posts" WHERE "OwnerUserId" = 1811 AND "PostTypeId" = 2 AND "Score" > 1
| 0.085938 |
CREATE TABLE song (languages VARCHAR, rating INT)
|
What is the average rating of songs for each language?
|
SELECT AVG(rating), languages FROM song GROUP BY languages
|
SELECT AVG("rating"), "languages" FROM "song" GROUP BY "languages"
| 0.064453 |
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)
|
give me the number of patients whose discharge location is short term hospital and diagnoses short title is sarcoidosis?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.discharge_location = "SHORT TERM HOSPITAL" AND diagnoses.short_title = "Sarcoidosis"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Sarcoidosis" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "SHORT TERM HOSPITAL" = "demographic"."discharge_location"
| 0.241211 |
CREATE TABLE table_name_82 (score VARCHAR, game VARCHAR)
|
What was the score for game 2?
|
SELECT score FROM table_name_82 WHERE game = 2
|
SELECT "score" FROM "table_name_82" WHERE "game" = 2
| 0.050781 |
CREATE TABLE table_16022 ("Episode #" FLOAT, "Production code" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Airdate" TEXT)
|
who directed the movie written by is sib ventress / aydrea ten bosch
|
SELECT "Directed by" FROM table_16022 WHERE "Written by" = 'Sib Ventress / Aydrea ten Bosch'
|
SELECT "Directed by" FROM "table_16022" WHERE "Written by" = 'Sib Ventress / Aydrea ten Bosch'
| 0.091797 |
CREATE TABLE table_3916 ("Episode #" FLOAT, "Series #" FLOAT, "Title" TEXT, "Director" TEXT, "Writer" TEXT, "Original airdate" TEXT, "Viewers ( millions ) " TEXT)
|
Who directed 'running the gauntlet'?
|
SELECT "Director" FROM table_3916 WHERE "Title" = 'Running the Gauntlet'
|
SELECT "Director" FROM "table_3916" WHERE "Title" = 'Running the Gauntlet'
| 0.072266 |
CREATE TABLE table_2331549_1 (champion VARCHAR, third_place VARCHAR)
|
Who were the champions in years where michigan technological university was in third place?
|
SELECT champion FROM table_2331549_1 WHERE third_place = "Michigan Technological University"
|
SELECT "champion" FROM "table_2331549_1" WHERE "Michigan Technological University" = "third_place"
| 0.095703 |
CREATE TABLE Claims (Claim_id VARCHAR, claim_id VARCHAR)
CREATE TABLE Settlements (claim_id VARCHAR)
|
How many settlements does each claim correspond to? List the claim id and the number of settlements.
|
SELECT T1.claim_id, COUNT(*) FROM Claims AS T1 JOIN Settlements AS T2 ON T1.claim_id = T2.claim_id GROUP BY T1.claim_id
|
SELECT "T1"."claim_id", COUNT(*) FROM "Claims" AS "T1" JOIN "Settlements" AS "T2" ON "T1"."claim_id" = "T2"."claim_id" GROUP BY "T1"."claim_id"
| 0.139648 |
CREATE TABLE table_204_334 (id DECIMAL, "opposition" TEXT, "matches" DECIMAL, "won" DECIMAL, "drawn" DECIMAL, "lost" DECIMAL, "for" DECIMAL, "against" DECIMAL, "win%" TEXT)
|
what is the number of oppositions who the chandigarh comets have 100 % win rate against ?
|
SELECT COUNT("opposition") FROM table_204_334 WHERE "win%" = 100
|
SELECT COUNT("opposition") FROM "table_204_334" WHERE "win%" = 100
| 0.064453 |
CREATE TABLE table_name_81 (agg VARCHAR, team_1 VARCHAR)
|
What is Team 1 Al-Hilal's Agg.?
|
SELECT agg FROM table_name_81 WHERE team_1 = "al-hilal"
|
SELECT "agg" FROM "table_name_81" WHERE "al-hilal" = "team_1"
| 0.05957 |
CREATE TABLE table_name_17 (pop__2010_ INT, geo_id VARCHAR, land___sqmi__ VARCHAR, county VARCHAR)
|
What is the total population in 2010 for the township located in Mountrail which has land less than 34.424 sq miles and a GEO ID less than 3806159940?
|
SELECT SUM(pop__2010_) FROM table_name_17 WHERE land___sqmi__ < 34.424 AND county = "mountrail" AND geo_id < 3806159940
|
SELECT SUM("pop__2010_") FROM "table_name_17" WHERE "county" = "mountrail" AND "geo_id" < 3806159940 AND "land___sqmi__" < 34.424
| 0.125977 |
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)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
provide the number of patients whose diagnoses long title is aftercare for healing traumatic fracture of lower leg and lab test fluid is pleural?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Aftercare for healing traumatic fracture of lower leg" AND lab.fluid = "Pleural"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Aftercare for healing traumatic fracture of lower leg" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Pleural" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id"
| 0.301758 |
CREATE TABLE table_7452 ("Player" TEXT, "Nationality" TEXT, "Position" TEXT, "Years in Orlando" TEXT, "School/Club Team" TEXT)
|
Which Years in Orlando has a Nationality of united states, and a School/Club Team of illinois?
|
SELECT "Years in Orlando" FROM table_7452 WHERE "Nationality" = 'united states' AND "School/Club Team" = 'illinois'
|
SELECT "Years in Orlando" FROM "table_7452" WHERE "Nationality" = 'united states' AND "School/Club Team" = 'illinois'
| 0.114258 |
CREATE TABLE table_name_21 (mascot VARCHAR, size VARCHAR, county VARCHAR)
|
What is the mascot for the team smaller than 154 from 49 Marion?
|
SELECT mascot FROM table_name_21 WHERE size < 154 AND county = "49 marion"
|
SELECT "mascot" FROM "table_name_21" WHERE "49 marion" = "county" AND "size" < 154
| 0.080078 |
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 regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
|
For all employees who have the letters D or S in their first name, show me about the distribution of job_id and the sum of salary , and group by attribute job_id in a bar chart, and I want to order y-axis in descending order.
|
SELECT JOB_ID, SUM(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY SUM(SALARY) DESC
|
SELECT "JOB_ID", SUM("SALARY") FROM "employees" WHERE "FIRST_NAME" LIKE '%D%' OR "FIRST_NAME" LIKE '%S%' GROUP BY "JOB_ID" ORDER BY SUM("SALARY") DESC NULLS LAST
| 0.157227 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
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 intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
|
had patient 004-34650 had any allergies since 2104?
|
SELECT COUNT(*) > 0 FROM allergy WHERE allergy.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '004-34650')) AND STRFTIME('%y', allergy.allergytime) >= '2104'
|
WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '004-34650' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT COUNT(*) > 0 FROM "allergy" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "allergy"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL AND STRFTIME('%y', "allergy"."allergytime") >= '2104'
| 0.533203 |
CREATE TABLE book_club (book_club_id DECIMAL, year DECIMAL, author_or_editor TEXT, book_title TEXT, publisher TEXT, category TEXT, result TEXT)
CREATE TABLE culture_company (company_name TEXT, type TEXT, incorporated_in TEXT, group_equity_shareholding DECIMAL, book_club_id TEXT, movie_id TEXT)
CREATE TABLE movie (movie_id DECIMAL, title TEXT, year DECIMAL, director TEXT, budget_million DECIMAL, gross_worldwide DECIMAL)
|
What is the average, maximum, and minimum budget for all movies before 2000.
|
SELECT AVG(budget_million), MAX(budget_million), MIN(budget_million) FROM movie WHERE year < 2000
|
SELECT AVG("budget_million"), MAX("budget_million"), MIN("budget_million") FROM "movie" WHERE "year" < 2000
| 0.104492 |
CREATE TABLE table_name_86 (label VARCHAR, format VARCHAR)
|
What is the label with the LP format?
|
SELECT label FROM table_name_86 WHERE format = "lp"
|
SELECT "label" FROM "table_name_86" WHERE "format" = "lp"
| 0.055664 |
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
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 PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment 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 PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE ReviewTaskStates (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 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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId 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 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 Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description 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 ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
|
Find Best Developers in location with Specific Badge.
|
SELECT DISTINCT u.Id AS "user_link", u.Reputation FROM Users AS u INNER JOIN Badges AS b ON b.UserId = u.Id WHERE LOWER(Location) LIKE LOWER('%##CityName##%') AND LOWER(b.Name) LIKE LOWER('%##BadgeName##%') ORDER BY Reputation DESC
|
SELECT DISTINCT "u"."Id" AS "user_link", "u"."Reputation" FROM "Users" AS "u" JOIN "Badges" AS "b" ON "b"."UserId" = "u"."Id" AND LOWER("b"."Name") LIKE LOWER('%##BadgeName##%') WHERE LOWER("Location") LIKE LOWER('%##CityName##%') ORDER BY "Reputation" DESC NULLS LAST
| 0.261719 |
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
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)
|
provide the number of patients whose diagnoses short title is late ef-hemplga side nos and lab test category is hematology?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Late ef-hemplga side NOS" AND lab."CATEGORY" = "Hematology"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Late ef-hemplga side NOS" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Hematology" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id"
| 0.280273 |
CREATE TABLE table_238124_1 (platelet_count VARCHAR, bleeding_time VARCHAR, prothrombin_time VARCHAR)
|
When the bleeding time is unaffected and prothrombin time is prolonged, what are the platelet counts?
|
SELECT platelet_count FROM table_238124_1 WHERE bleeding_time = "Unaffected" AND prothrombin_time = "Prolonged"
|
SELECT "platelet_count" FROM "table_238124_1" WHERE "Prolonged" = "prothrombin_time" AND "Unaffected" = "bleeding_time"
| 0.116211 |
CREATE TABLE table_31479 ("Round" FLOAT, "Circuit" TEXT, "Date" TEXT, "Length" TEXT, "Pole Position" TEXT, "GT3 Winner" TEXT, "GT4 Winner" TEXT)
|
When tim bridgman gregor fisken is the pole position who is the gt3 winner?
|
SELECT "GT3 Winner" FROM table_31479 WHERE "Pole Position" = 'Tim Bridgman Gregor Fisken'
|
SELECT "GT3 Winner" FROM "table_31479" WHERE "Pole Position" = 'Tim Bridgman Gregor Fisken'
| 0.088867 |
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant 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 city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE flight_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 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 state (state_code TEXT, state_name TEXT, country_name 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 equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE code_description (code VARCHAR, 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 flight_fare (flight_id INT, fare_id INT)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
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 ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type 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 days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
|
which UA flight flies across this continent and leaves from BOSTON goes to DALLAS and makes a stopover in PHILADELPHIA
|
SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, airport_service AS AIRPORT_SERVICE_2, city AS CITY_0, city AS CITY_1, city AS CITY_2, flight, flight_stop WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DALLAS' AND CITY_2.city_code = AIRPORT_SERVICE_2.city_code AND CITY_2.city_name = 'PHILADELPHIA' AND flight_stop.stop_airport = AIRPORT_SERVICE_2.airport_code AND flight.flight_id = flight_stop.flight_id AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.airline_code = 'UA'
|
SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'BOSTON' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" AND "flight"."airline_code" = 'UA' JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "flight_stop" ON "flight"."flight_id" = "flight_stop"."flight_id" JOIN "airport_service" AS "AIRPORT_SERVICE_2" ON "AIRPORT_SERVICE_2"."airport_code" = "flight_stop"."stop_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'DALLAS' JOIN "city" AS "CITY_2" ON "AIRPORT_SERVICE_2"."city_code" = "CITY_2"."city_code" AND "CITY_2"."city_name" = 'PHILADELPHIA'
| 0.829102 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
|
How many of the patients with unspecified chronic obstructive asthma had a lab test for hematology?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Chronic obstructive asthma, unspecified" AND lab."CATEGORY" = "Hematology"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Chronic obstructive asthma, unspecified" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "lab" ON "Hematology" = "lab"."CATEGORY" AND "demographic"."hadm_id" = "lab"."hadm_id"
| 0.293945 |
CREATE TABLE table_10812938_5 (pick__number INT, cfl_team VARCHAR)
|
What's the pick number of the player from Toronto Argonauts?
|
SELECT MIN(pick__number) FROM table_10812938_5 WHERE cfl_team = "Toronto Argonauts"
|
SELECT MIN("pick__number") FROM "table_10812938_5" WHERE "Toronto Argonauts" = "cfl_team"
| 0.086914 |
CREATE TABLE table_57152 ("Year" FLOAT, "Award ceremony" TEXT, "Category" TEXT, "Nominee" TEXT, "Result" TEXT)
|
What is the first year that the Favorite Male Replacement category had Ben Vereen as a nominee?
|
SELECT MIN("Year") FROM table_57152 WHERE "Category" = 'favorite male replacement' AND "Nominee" = 'ben vereen'
|
SELECT MIN("Year") FROM "table_57152" WHERE "Category" = 'favorite male replacement' AND "Nominee" = 'ben vereen'
| 0.110352 |
CREATE TABLE table_6197 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Location" TEXT, "Time ( ET ) " TEXT, "Result" TEXT, "Record" TEXT)
|
What was the Steeler's record when they played against the new york Jets?
|
SELECT "Record" FROM table_6197 WHERE "Opponent" = 'new york jets'
|
SELECT "Record" FROM "table_6197" WHERE "Opponent" = 'new york jets'
| 0.066406 |
CREATE TABLE table_name_74 (label VARCHAR, year VARCHAR)
|
Which label's year was 1990?
|
SELECT label FROM table_name_74 WHERE year = "1990"
|
SELECT "label" FROM "table_name_74" WHERE "1990" = "year"
| 0.055664 |
CREATE TABLE table_18249 ("District" TEXT, "Incumbent" TEXT, "Party" TEXT, "First elected" FLOAT, "Result" TEXT, "Candidates" TEXT)
|
In what district would you find the candidates listed as jim cooper (d) unopposed?
|
SELECT "District" FROM table_18249 WHERE "Candidates" = 'Jim Cooper (D) Unopposed'
|
SELECT "District" FROM "table_18249" WHERE "Candidates" = 'Jim Cooper (D) Unopposed'
| 0.082031 |
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
|
how many patients were diagnosed with esophageal reflux within 2 months after the first diagnosis with mental disor nec oth dis?
|
SELECT COUNT(DISTINCT t1.subject_id) FROM (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'esophageal reflux')) AS t1 JOIN (SELECT admissions.subject_id, diagnoses_icd.charttime FROM diagnoses_icd JOIN admissions ON diagnoses_icd.hadm_id = admissions.hadm_id WHERE diagnoses_icd.icd9_code = (SELECT d_icd_diagnoses.icd9_code FROM d_icd_diagnoses WHERE d_icd_diagnoses.short_title = 'mental disor nec oth dis')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.charttime AND DATETIME(t2.charttime) BETWEEN DATETIME(t1.charttime) AND DATETIME(t1.charttime, '+2 month')
|
WITH "t2" AS (SELECT "admissions"."subject_id", "diagnoses_icd"."charttime" FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'mental disor nec oth dis' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id") SELECT COUNT(DISTINCT "admissions"."subject_id") FROM "diagnoses_icd" JOIN "d_icd_diagnoses" ON "d_icd_diagnoses"."icd9_code" = "diagnoses_icd"."icd9_code" AND "d_icd_diagnoses"."short_title" = 'esophageal reflux' JOIN "admissions" ON "admissions"."hadm_id" = "diagnoses_icd"."hadm_id" JOIN "t2" AS "t2" ON "admissions"."subject_id" = "t2"."subject_id" AND "diagnoses_icd"."charttime" < "t2"."charttime" AND DATETIME("diagnoses_icd"."charttime") <= DATETIME("t2"."charttime") AND DATETIME("diagnoses_icd"."charttime", '+2 month') >= DATETIME("t2"."charttime")
| 0.859375 |
CREATE TABLE table_64489 ("Name" TEXT, "Position" TEXT, "League Apps" TEXT, "League Goals" FLOAT, "FA Cup Apps" TEXT, "FA Cup Goals" FLOAT, "League Cup Apps" TEXT, "League Cup Goals" FLOAT, "Total Apps" TEXT, "Total Goals" FLOAT)
|
What was the sum of league goals where the toal was 8 and league cup goals were larger than 0?
|
SELECT SUM("League Goals") FROM table_64489 WHERE "Total Goals" = '8' AND "League Cup Goals" > '0'
|
SELECT SUM("League Goals") FROM "table_64489" WHERE "League Cup Goals" > '0' AND "Total Goals" = '8'
| 0.097656 |
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, 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 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 ReviewTaskStates (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 PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
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 PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
|
Users With A Combination Of 3 Badges.
|
WITH MultiBadgeHolders AS (SELECT UserId, Name, Date FROM Badges WHERE UserId IN (SELECT UserId FROM Badges WHERE Name = '##BadgeName1##' INTERSECT SELECT UserId FROM Badges WHERE Name = '##BadgeName2##' INTERSECT SELECT UserId FROM Badges WHERE Name = '##BadgeName3##') AND Name IN ('##BadgeName1##', '##BadgeName2##', '##BadgeName3##')), AllHoldersBadges AS (SELECT *, ROW_NUMBER() OVER (PARTITION BY UserId, Name ORDER BY Date) AS Row FROM MultiBadgeHolders), Results AS (SELECT UserId, Name, Date, ROW_NUMBER() OVER (PARTITION BY UserId ORDER BY Date DESC) AS Row FROM AllHoldersBadges WHERE AllHoldersBadges.Row = 1) SELECT UserId AS "user_link", Name AS "Last Badge Name", Date FROM Results WHERE Results.Row = 1 ORDER BY Date
|
WITH "AllHoldersBadges" AS (SELECT ROW_NUMBER() OVER (PARTITION BY "UserId", "Name" ORDER BY "Date" NULLS FIRST) AS "Row" FROM "Badges" WHERE "Name" IN ('##BadgeName1##', '##BadgeName2##', '##BadgeName3##') AND "UserId" IN (SELECT "UserId" FROM "Badges" WHERE "Name" = '##BadgeName1##' INTERSECT SELECT "UserId" FROM "Badges" WHERE "Name" = '##BadgeName2##' INTERSECT SELECT "UserId" FROM "Badges" WHERE "Name" = '##BadgeName3##')), "Results" AS (SELECT ROW_NUMBER() OVER (PARTITION BY "UserId" ORDER BY "Date" DESC NULLS LAST) AS "Row" FROM "AllHoldersBadges" WHERE "AllHoldersBadges"."Row" = 1) SELECT "UserId" AS "user_link", "Name" AS "Last Badge Name", "Date" FROM "Results" WHERE "Results"."Row" = 1 ORDER BY "Date" NULLS FIRST
| 0.71582 |
CREATE TABLE table_9147 ("Date" TEXT, "Time" TEXT, "Score" TEXT, "Set 1" TEXT, "Set 2" TEXT, "Set 3" TEXT, "Total" TEXT)
|
What is the set 1 score when the total is 85 101?
|
SELECT "Set 1" FROM table_9147 WHERE "Total" = '85–101'
|
SELECT "Set 1" FROM "table_9147" WHERE "Total" = '85–101'
| 0.055664 |
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
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 ta (campus_job_id INT, student_id INT, location 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 requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip 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_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 instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category 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 course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE 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)
|
WOMENSTD 323 has how many lecture sections next semester ?
|
SELECT COUNT(*) FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'WOMENSTD' AND course.number = 323 AND semester.semester = 'FA' AND semester.semester_id = course_offering.semester AND semester.year = 2016
|
SELECT COUNT(*) FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" AND "semester"."semester" = 'FA' AND "semester"."year" = 2016 WHERE "course"."department" = 'WOMENSTD' AND "course"."number" = 323
| 0.306641 |
CREATE TABLE table_71140 ("Year" FLOAT, "Tournament" TEXT, "Venue" TEXT, "Result" TEXT, "Event" TEXT)
|
What event was held in Chihuahua, Mexico?
|
SELECT "Event" FROM table_71140 WHERE "Venue" = 'chihuahua, mexico'
|
SELECT "Event" FROM "table_71140" WHERE "Venue" = 'chihuahua, mexico'
| 0.067383 |
CREATE TABLE table_67016 ("Date" TEXT, "Opponent" TEXT, "Score" TEXT, "Attendance" FLOAT, "Record" TEXT)
|
What record was reached with a score of 7 - 2?
|
SELECT "Record" FROM table_67016 WHERE "Score" = '7 - 2'
|
SELECT "Record" FROM "table_67016" WHERE "Score" = '7 - 2'
| 0.056641 |
CREATE TABLE table_197286_4 (distance VARCHAR, direction VARCHAR)
|
Name the distance from north
|
SELECT distance FROM table_197286_4 WHERE direction = "North"
|
SELECT "distance" FROM "table_197286_4" WHERE "North" = "direction"
| 0.06543 |
CREATE TABLE table_47581 ("Year ( Ceremony ) " TEXT, "Film title used in nomination" TEXT, "Original title" TEXT, "Primary Language ( s ) " TEXT, "Director" TEXT, "Result" TEXT)
|
What is Director, when Original Title is 'Sah '?
|
SELECT "Director" FROM table_47581 WHERE "Original title" = 'sahə'
|
SELECT "Director" FROM "table_47581" WHERE "Original title" = 'sahə'
| 0.066406 |
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req 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 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 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)
|
Would there be any upper level classes that do n't require 494 ?
|
SELECT DISTINCT department, name, number FROM course WHERE (description LIKE '%topic0%' OR name LIKE '%topic0%') AND department = 'EECS'
|
SELECT DISTINCT "department", "name", "number" FROM "course" WHERE "department" = 'EECS' AND ("description" LIKE '%topic0%' OR "name" LIKE '%topic0%')
| 0.146484 |
CREATE TABLE table_33729 ("Date" TEXT, "Venue" TEXT, "Result" TEXT, "Goals" FLOAT, "Competition" TEXT)
|
What is the result from March 14, 2007?
|
SELECT "Result" FROM table_33729 WHERE "Date" = 'march 14, 2007'
|
SELECT "Result" FROM "table_33729" WHERE "Date" = 'march 14, 2007'
| 0.064453 |
CREATE TABLE table_64128 ("Rank" FLOAT, "Gold" FLOAT, "Silver" FLOAT, "Bronze" FLOAT, "Total" FLOAT)
|
What is the silver when the Total is 1, and Gold is 1?
|
SELECT AVG("Silver") FROM table_64128 WHERE "Total" = '1' AND "Gold" = '1'
|
SELECT AVG("Silver") FROM "table_64128" WHERE "Gold" = '1' AND "Total" = '1'
| 0.074219 |
CREATE TABLE Manufacturers (name VARCHAR, code VARCHAR)
CREATE TABLE products (Price INT, manufacturer VARCHAR, price INT)
|
Select the names of manufacturer whose products have an average price higher than or equal to $150.
|
SELECT AVG(T1.price), T2.name FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code GROUP BY T2.name HAVING AVG(T1.price) >= 150
|
SELECT AVG("T1"."price"), "T2"."name" FROM "products" AS "T1" JOIN "Manufacturers" AS "T2" ON "T1"."manufacturer" = "T2"."code" GROUP BY "T2"."name" HAVING AVG("T1"."price") >= 150
| 0.175781 |
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE 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 chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title 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 inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
|
what was the marital status of patient 3273 on their first hospital encounter?
|
SELECT admissions.marital_status FROM admissions WHERE admissions.subject_id = 3273 AND NOT admissions.dischtime IS NULL ORDER BY admissions.admittime LIMIT 1
|
SELECT "admissions"."marital_status" FROM "admissions" WHERE "admissions"."subject_id" = 3273 AND NOT "admissions"."dischtime" IS NULL ORDER BY "admissions"."admittime" NULLS FIRST LIMIT 1
| 0.183594 |
CREATE TABLE table_204_633 (id DECIMAL, "launch date" TEXT, "operator" TEXT, "name" TEXT, "sample origin" TEXT, "samples returned" TEXT, "recovery date" TEXT, "mission result" TEXT)
|
what was the average amount of missions that were successful ?
|
SELECT COUNT("name") FROM table_204_633 WHERE "mission result" = 'success'
|
SELECT COUNT("name") FROM "table_204_633" WHERE "mission result" = 'success'
| 0.074219 |
CREATE TABLE table_name_42 (player VARCHAR, year_s__won VARCHAR, to_par VARCHAR)
|
What is Player, when Year(s) Won is before 1961, and when To Par is 6?
|
SELECT player FROM table_name_42 WHERE year_s__won < 1961 AND to_par = 6
|
SELECT "player" FROM "table_name_42" WHERE "to_par" = 6 AND "year_s__won" < 1961
| 0.078125 |
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 PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId 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 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 VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE 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 Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE CloseReasonTypes (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 TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE 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 PostTypes (Id DECIMAL, Name TEXT)
|
Users with reputation > 10000 and < 50 answers.
|
SELECT Users.Id AS "user_link", Users.DisplayName, Users.Reputation, SUM(CASE WHEN Posts.PostTypeId = 1 THEN 1 ELSE 0 END) AS Questions, SUM(CASE WHEN Posts.PostTypeId = 2 THEN 1 ELSE 0 END) AS Answers, Users.UpVotes, Users.DownVotes FROM Users INNER JOIN Posts ON Users.Id = Posts.OwnerUserId AND (Posts.PostTypeId = 1 OR Posts.PostTypeId = 2) AND Users.Reputation > 10000 GROUP BY Users.Id, Users.CreationDate, Users.LastAccessDate, Users.Reputation, Users.DisplayName, Users.CreationDate, Users.Views, Users.UpVotes, Users.DownVotes HAVING SUM(CASE WHEN Posts.PostTypeId = 2 THEN 1 ELSE 0 END) < 50 ORDER BY Users.Id
|
SELECT "Users"."Id" AS "user_link", "Users"."DisplayName", "Users"."Reputation", SUM(CASE WHEN "Posts"."PostTypeId" = 1 THEN 1 ELSE 0 END) AS "Questions", SUM(CASE WHEN "Posts"."PostTypeId" = 2 THEN 1 ELSE 0 END) AS "Answers", "Users"."UpVotes", "Users"."DownVotes" FROM "Users" JOIN "Posts" ON "Posts"."OwnerUserId" = "Users"."Id" AND ("Posts"."PostTypeId" = 1 OR "Posts"."PostTypeId" = 2) AND "Users"."Reputation" > 10000 GROUP BY "Users"."Id", "Users"."CreationDate", "Users"."LastAccessDate", "Users"."Reputation", "Users"."DisplayName", "Users"."CreationDate", "Users"."Views", "Users"."UpVotes", "Users"."DownVotes" HAVING SUM(CASE WHEN "Posts"."PostTypeId" = 2 THEN 1 ELSE 0 END) < 50 ORDER BY "Users"."Id" NULLS FIRST
| 0.708008 |
CREATE TABLE table_58745 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" TEXT, "To par" TEXT, "Money ( \\u00a3 ) " FLOAT)
|
Name The Score of Player of seve ballesteros?
|
SELECT "Score" FROM table_58745 WHERE "Player" = 'seve ballesteros'
|
SELECT "Score" FROM "table_58745" WHERE "Player" = 'seve ballesteros'
| 0.067383 |
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)
|
how many black/haitian patients had the drug route both eyes?
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "BLACK/HAITIAN" AND prescriptions.route = "BOTH EYES"
|
SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "BOTH EYES" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "BLACK/HAITIAN" = "demographic"."ethnicity"
| 0.230469 |
CREATE TABLE table_67101 ("Pure Tamil" TEXT, "How Ashtagrama Iyers say it" TEXT, "How other Iyers say it" TEXT, "How other Tamils say it" TEXT, "English Meaning" TEXT)
|
Name the english meaning for engey poringo
|
SELECT "English Meaning" FROM table_67101 WHERE "How other Tamils say it" = 'engey poringo'
|
SELECT "English Meaning" FROM "table_67101" WHERE "How other Tamils say it" = 'engey poringo'
| 0.09082 |
CREATE TABLE table_name_38 (result VARCHAR, attendance VARCHAR)
|
What was the result of the game that was attended by 80,886 people?
|
SELECT result FROM table_name_38 WHERE attendance = "80,886"
|
SELECT "result" FROM "table_name_38" WHERE "80,886" = "attendance"
| 0.064453 |
CREATE TABLE table_26493 ("No. in series" FLOAT, "No. in season" FLOAT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Production code" FLOAT, "U.S. viewers ( millions ) " TEXT)
|
what is writtenand directed by shannon flynn?
|
SELECT "Written by" FROM table_26493 WHERE "Directed by" = 'Shannon Flynn'
|
SELECT "Written by" FROM "table_26493" WHERE "Directed by" = 'Shannon Flynn'
| 0.074219 |
CREATE TABLE table_34532 ("Name" TEXT, "Town/City" TEXT, "Borough" TEXT, "Region" TEXT, "Type" TEXT)
|
In what Town/City is Nana Museum of The Arctic located?
|
SELECT "Town/City" FROM table_34532 WHERE "Name" = 'nana museum of the arctic'
|
SELECT "Town/City" FROM "table_34532" WHERE "Name" = 'nana museum of the arctic'
| 0.078125 |
CREATE TABLE table_30555 ("Pick #" FLOAT, "Player" TEXT, "Position" TEXT, "Nationality" TEXT, "NHL team" TEXT, "College/junior/club team" TEXT)
|
Which team drafted Ron Annear?
|
SELECT "NHL team" FROM table_30555 WHERE "Player" = 'Ron Annear'
|
SELECT "NHL team" FROM "table_30555" WHERE "Player" = 'Ron Annear'
| 0.064453 |
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title 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)
|
how did patient 61003 last get admitted in the hospital until 2103?
|
SELECT admissions.admission_type FROM admissions WHERE admissions.subject_id = 61003 AND STRFTIME('%y', admissions.admittime) <= '2103' ORDER BY admissions.admittime DESC LIMIT 1
|
SELECT "admissions"."admission_type" FROM "admissions" WHERE "admissions"."subject_id" = 61003 AND STRFTIME('%y', "admissions"."admittime") <= '2103' ORDER BY "admissions"."admittime" DESC NULLS LAST LIMIT 1
| 0.202148 |
CREATE TABLE table_57159 ("Rank" FLOAT, "Name" TEXT, "Nation" TEXT, "Points" FLOAT, "Placings" FLOAT)
|
I want to know the highest rank with placings more than 123 and points greater than 88.06
|
SELECT MAX("Rank") FROM table_57159 WHERE "Placings" > '123' AND "Points" > '88.06'
|
SELECT MAX("Rank") FROM "table_57159" WHERE "Placings" > '123' AND "Points" > '88.06'
| 0.083008 |
CREATE TABLE table_49532 ("Outcome" TEXT, "Date" TEXT, "Tournament" TEXT, "Surface" TEXT, "Partner" TEXT, "Opponents" TEXT, "Score" TEXT)
|
what is the score when the partner is florencia labat, the surface is clay, the opponents is laura golarsa ann grossman?
|
SELECT "Score" FROM table_49532 WHERE "Partner" = 'florencia labat' AND "Surface" = 'clay' AND "Opponents" = 'laura golarsa ann grossman'
|
SELECT "Score" FROM "table_49532" WHERE "Opponents" = 'laura golarsa ann grossman' AND "Partner" = 'florencia labat' AND "Surface" = 'clay'
| 0.135742 |
CREATE TABLE table_29302711_12 (matches_won INT, matches_played VARCHAR)
|
how many matches did the player that played 23 matches win
|
SELECT MIN(matches_won) FROM table_29302711_12 WHERE matches_played = 23
|
SELECT MIN("matches_won") FROM "table_29302711_12" WHERE "matches_played" = 23
| 0.076172 |
CREATE TABLE table_name_50 (tournament VARCHAR, moves VARCHAR, result VARCHAR)
|
What is Tournament, when Moves is '37', and when Result is ' '?
|
SELECT tournament FROM table_name_50 WHERE moves = 37 AND result = "½–½"
|
SELECT "tournament" FROM "table_name_50" WHERE "moves" = 37 AND "result" = "½–½"
| 0.078125 |
CREATE TABLE table_name_88 (season VARCHAR, qualities VARCHAR, sign VARCHAR)
|
What is the south season of the scorpio sign, which has cold & wet qualities?
|
SELECT season AS :_south FROM table_name_88 WHERE qualities = "cold & wet" AND sign = "scorpio"
|
SELECT "season" AS :_south FROM "table_name_88" WHERE "cold & wet" = "qualities" AND "scorpio" = "sign"
| 0.100586 |
CREATE TABLE Students (student_id INT, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR, password VARCHAR, personal_name VARCHAR, middle_name VARCHAR, family_name VARCHAR)
CREATE TABLE Student_Course_Enrolment (registration_id INT, student_id INT, course_id INT, date_of_enrolment DATETIME, date_of_completion DATETIME)
CREATE TABLE Student_Tests_Taken (registration_id INT, date_test_taken DATETIME, test_result VARCHAR)
CREATE TABLE Course_Authors_and_Tutors (author_id INT, author_tutor_ATB VARCHAR, login_name VARCHAR, password VARCHAR, personal_name VARCHAR, middle_name VARCHAR, family_name VARCHAR, gender_mf VARCHAR, address_line_1 VARCHAR)
CREATE TABLE Subjects (subject_id INT, subject_name VARCHAR)
CREATE TABLE Courses (course_id INT, author_id INT, subject_id INT, course_name VARCHAR, course_description VARCHAR)
|
What are the enrollment dates of all the tests that have result 'Pass', and count them by a line chart, I want to show by the x axis in desc please.
|
SELECT date_of_enrolment, COUNT(date_of_enrolment) FROM Student_Course_Enrolment AS T1 JOIN Student_Tests_Taken AS T2 ON T1.registration_id = T2.registration_id WHERE T2.test_result = "Pass" GROUP BY date_of_enrolment ORDER BY date_of_enrolment DESC
|
SELECT "date_of_enrolment", COUNT("date_of_enrolment") FROM "Student_Course_Enrolment" AS "T1" JOIN "Student_Tests_Taken" AS "T2" ON "Pass" = "T2"."test_result" AND "T1"."registration_id" = "T2"."registration_id" GROUP BY "date_of_enrolment" ORDER BY "date_of_enrolment" DESC NULLS LAST
| 0.279297 |
CREATE TABLE table_25401_15 (proto_italo_western_1 VARCHAR, english VARCHAR)
|
What is every entry for Proto-Italo-Western 1 when door is English?
|
SELECT proto_italo_western_1 FROM table_25401_15 WHERE english = "door"
|
SELECT "proto_italo_western_1" FROM "table_25401_15" WHERE "door" = "english"
| 0.075195 |
CREATE TABLE table_66188 ("Date" TEXT, "Tournament" TEXT, "Winning score" TEXT, "Margin of victory" TEXT, "Runner ( s ) -up" TEXT)
|
What is the Date of the Ameritech Senior Open?
|
SELECT "Date" FROM table_66188 WHERE "Tournament" = 'ameritech senior open'
|
SELECT "Date" FROM "table_66188" WHERE "Tournament" = 'ameritech senior open'
| 0.075195 |
CREATE TABLE table_name_94 (circuit VARCHAR, date VARCHAR)
|
what is the circuit when the date is 4 june?
|
SELECT circuit FROM table_name_94 WHERE date = "4 june"
|
SELECT "circuit" FROM "table_name_94" WHERE "4 june" = "date"
| 0.05957 |
CREATE TABLE table_9519 ("Name" TEXT, "Nationality" TEXT, "Position [F ]" TEXT, "Date from [G ]" TEXT, "Date to [H ]" TEXT, "Appearances" FLOAT, "Goals" FLOAT, "Club source [I ]" TEXT)
|
What is Date to [H], when Position [F] is 'Defender', when Goals is less than 3, when Appearances is greater than 113, and when Date From [G] is '1997'?
|
SELECT "Date to [H ]" FROM table_9519 WHERE "Position [F ]" = 'defender' AND "Goals" < '3' AND "Appearances" > '113' AND "Date from [G ]" = '1997'
|
SELECT "Date to [H ]" FROM "table_9519" WHERE "Appearances" > '113' AND "Date from [G ]" = '1997' AND "Goals" < '3' AND "Position [F ]" = 'defender'
| 0.144531 |
CREATE TABLE table_name_89 (performance VARCHAR, athlete VARCHAR)
|
What's the performance of Dire Tune?
|
SELECT performance FROM table_name_89 WHERE athlete = "dire tune"
|
SELECT "performance" FROM "table_name_89" WHERE "athlete" = "dire tune"
| 0.069336 |
CREATE TABLE table_name_74 (against INT, wins VARCHAR, losses VARCHAR, draws VARCHAR)
|
What is the average number of against with less than 10 losses, more than 0 draws, and more than 7 wins?
|
SELECT AVG(against) FROM table_name_74 WHERE losses < 10 AND draws > 0 AND wins > 7
|
SELECT AVG("against") FROM "table_name_74" WHERE "draws" > 0 AND "losses" < 10 AND "wins" > 7
| 0.09082 |
CREATE TABLE table_name_59 (rank_points VARCHAR, total VARCHAR, score_points VARCHAR)
|
What were the rank points when the score was 7 and the total was 15?
|
SELECT rank_points FROM table_name_59 WHERE total = "15" AND score_points = "7"
|
SELECT "rank_points" FROM "table_name_59" WHERE "15" = "total" AND "7" = "score_points"
| 0.084961 |
CREATE TABLE market (Market_ID INT, Country TEXT, Number_cities INT)
CREATE TABLE film (Film_ID INT, Title TEXT, Studio TEXT, Director TEXT, Gross_in_dollar INT)
CREATE TABLE film_market_estimation (Estimation_ID INT, Low_Estimate FLOAT, High_Estimate FLOAT, Film_ID INT, Type TEXT, Market_ID INT, Year INT)
|
Please list the years of film market estimations when the market is in country 'Japan' in descending order, and count them by a line chart
|
SELECT Year, COUNT(Year) FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID WHERE T2.Country = "Japan" ORDER BY T1.Year DESC
|
SELECT "Year", COUNT("Year") FROM "film_market_estimation" AS "T1" JOIN "market" AS "T2" ON "Japan" = "T2"."Country" AND "T1"."Market_ID" = "T2"."Market_ID" ORDER BY "T1"."Year" DESC NULLS LAST
| 0.188477 |
CREATE TABLE table_1341663_10 (incumbent VARCHAR, district VARCHAR)
|
who is the incumbent where the district is florida 9?
|
SELECT incumbent FROM table_1341663_10 WHERE district = "Florida 9"
|
SELECT "incumbent" FROM "table_1341663_10" WHERE "Florida 9" = "district"
| 0.071289 |
CREATE TABLE table_201_24 (id DECIMAL, "episode number" DECIMAL, "original airdate" TEXT, "title" TEXT, "disc" DECIMAL, "description" TEXT)
|
how many episodes aired in february ?
|
SELECT COUNT("episode number") FROM table_201_24 WHERE "original airdate" = 2
|
SELECT COUNT("episode number") FROM "table_201_24" WHERE "original airdate" = 2
| 0.077148 |
CREATE TABLE table_name_13 (game VARCHAR, opponent VARCHAR)
|
Which Game has an Opponent of @ washington wizards?
|
SELECT game FROM table_name_13 WHERE opponent = "@ washington wizards"
|
SELECT "game" FROM "table_name_13" WHERE "@ washington wizards" = "opponent"
| 0.074219 |
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE 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 PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE 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 PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE VoteTypes (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 ReviewTaskTypes (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 CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
|
Resolution time for Apache Isis.
|
SELECT questions.Id, questions.Tags, questions.CreationDate, answers.CreationDate AS AnswerDate, (answers.CreationDate - questions.CreationDate) AS Duration FROM Posts AS questions LEFT JOIN Posts AS answers ON questions.AcceptedAnswerId = answers.Id WHERE questions.Tags LIKE '%isis%'
|
SELECT "questions"."Id", "questions"."Tags", "questions"."CreationDate", "answers"."CreationDate" AS "AnswerDate", "answers"."CreationDate" - "questions"."CreationDate" AS "Duration" FROM "Posts" AS "questions" LEFT JOIN "Posts" AS "answers" ON "answers"."Id" = "questions"."AcceptedAnswerId" WHERE "questions"."Tags" LIKE '%isis%'
| 0.323242 |
CREATE TABLE table_name_54 (time VARCHAR, song_title VARCHAR)
|
How long is the song titled burning love?
|
SELECT time FROM table_name_54 WHERE song_title = "burning love"
|
SELECT "time" FROM "table_name_54" WHERE "burning love" = "song_title"
| 0.068359 |
CREATE TABLE table_32368 ("Name" TEXT, "Team" TEXT, "Qual 1" TEXT, "Qual 2" TEXT, "Best" TEXT)
|
Who had a qual 1 of 1:01.461?
|
SELECT "Name" FROM table_32368 WHERE "Qual 1" = '1:01.461'
|
SELECT "Name" FROM "table_32368" WHERE "Qual 1" = '1:01.461'
| 0.058594 |
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE 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 outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
|
when was the last time on this month/27 patient 15794's arterial bp [diastolic] was greater than 54.0?
|
SELECT chartevents.charttime FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 15794)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [diastolic]' AND d_items.linksto = 'chartevents') AND chartevents.valuenum > 54.0 AND DATETIME(chartevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND STRFTIME('%d', chartevents.charttime) = '27' ORDER BY chartevents.charttime DESC LIMIT 1
|
WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 15794 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'arterial bp [diastolic]' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT "chartevents"."charttime" FROM "chartevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."valuenum" > 54.0 AND DATETIME("chartevents"."charttime", 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL AND STRFTIME('%d', "chartevents"."charttime") = '27' ORDER BY "chartevents"."charttime" DESC NULLS LAST LIMIT 1
| 0.94043 |
CREATE TABLE table_name_35 (report VARCHAR, away_team VARCHAR)
|
What's the report about townsville crocodiles as an away team?
|
SELECT report FROM table_name_35 WHERE away_team = "townsville crocodiles"
|
SELECT "report" FROM "table_name_35" WHERE "away_team" = "townsville crocodiles"
| 0.078125 |
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