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CREATE TABLE table_30524 ([Name of Rivalry] VARCHAR(MAX), [Rival] VARCHAR(MAX), [Games Played] FLOAT, [First Meeting] FLOAT, [Last Meeting] FLOAT, [AU Won] FLOAT, [AU Lost] FLOAT, [Ties] FLOAT, [Streak] VARCHAR(MAX), [Latest win] VARCHAR(MAX))

when was the ending time where the enemy met in the iron bowl

SELECT "Last Meeting" FROM table_30524 WHERE "Name of Rivalry" = 'Iron Bowl'

SELECT [Last Meeting] FROM [table_30524] WHERE [Name of Rivalry] = 'Iron Bowl'

CREATE TABLE PendingFlags (Id NUMERIC, FlagTypeId NUMERIC, PostId NUMERIC, CreationDate TIME, CloseReasonTypeId NUMERIC, CloseAsOffTopicReasonTypeId NUMERIC, DuplicateOfQuestionId NUMERIC, BelongsOnBaseHostAddress VARCHAR(MAX)) CREATE TABLE ReviewTaskResults (Id NUMERIC, ReviewTaskId NUMERIC, ReviewTaskResultTypeId NUMERIC, CreationDate TIME, RejectionReasonId NUMERIC, Comment VARCHAR(MAX)) CREATE TABLE SuggestedEditVotes (Id NUMERIC, SuggestedEditId NUMERIC, UserId NUMERIC, VoteTypeId NUMERIC, CreationDate TIME, TargetUserId NUMERIC, TargetRepChange NUMERIC) CREATE TABLE Votes (Id NUMERIC, PostId NUMERIC, VoteTypeId NUMERIC, UserId NUMERIC, CreationDate TIME, BountyAmount NUMERIC) CREATE TABLE PostNoticeTypes (Id NUMERIC, ClassId NUMERIC, Name VARCHAR(MAX), Body VARCHAR(MAX), IsHidden BIT, Predefined BIT, PostNoticeDurationId NUMERIC) CREATE TABLE Posts (Id NUMERIC, PostTypeId NUMERIC, AcceptedAnswerId NUMERIC, ParentId NUMERIC, CreationDate TIME, DeletionDate TIME, Score NUMERIC, ViewCount NUMERIC, Body VARCHAR(MAX), OwnerUserId NUMERIC, OwnerDisplayName VARCHAR(MAX), LastEditorUserId NUMERIC, LastEditorDisplayName VARCHAR(MAX), LastEditDate TIME, LastActivityDate TIME, Title VARCHAR(MAX), Tags VARCHAR(MAX), AnswerCount NUMERIC, CommentCount NUMERIC, FavoriteCount NUMERIC, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense VARCHAR(MAX)) CREATE TABLE PostFeedback (Id NUMERIC, PostId NUMERIC, IsAnonymous BIT, VoteTypeId NUMERIC, CreationDate TIME) CREATE TABLE TagSynonyms (Id NUMERIC, SourceTagName VARCHAR(MAX), TargetTagName VARCHAR(MAX), CreationDate TIME, OwnerUserId NUMERIC, AutoRenameCount NUMERIC, LastAutoRename TIME, Score NUMERIC, ApprovedByUserId NUMERIC, ApprovalDate TIME) CREATE TABLE PostHistoryTypes (Id NUMERIC, Name VARCHAR(MAX)) CREATE TABLE PostTypes (Id NUMERIC, Name VARCHAR(MAX)) CREATE TABLE PostTags (PostId NUMERIC, TagId NUMERIC) CREATE TABLE PostHistory (Id NUMERIC, PostHistoryTypeId NUMERIC, PostId NUMERIC, RevisionGUID other, CreationDate TIME, UserId NUMERIC, UserDisplayName VARCHAR(MAX), Comment VARCHAR(MAX), Text VARCHAR(MAX), ContentLicense VARCHAR(MAX)) CREATE TABLE PostsWithDeleted (Id NUMERIC, PostTypeId NUMERIC, AcceptedAnswerId NUMERIC, ParentId NUMERIC, CreationDate TIME, DeletionDate TIME, Score NUMERIC, ViewCount NUMERIC, Body VARCHAR(MAX), OwnerUserId NUMERIC, OwnerDisplayName VARCHAR(MAX), LastEditorUserId NUMERIC, LastEditorDisplayName VARCHAR(MAX), LastEditDate TIME, LastActivityDate TIME, Title VARCHAR(MAX), Tags VARCHAR(MAX), AnswerCount NUMERIC, CommentCount NUMERIC, FavoriteCount NUMERIC, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense VARCHAR(MAX)) CREATE TABLE ReviewTaskResultTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE ReviewRejectionReasons (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX), PostTypeId NUMERIC) CREATE TABLE PostNotices (Id NUMERIC, PostId NUMERIC, PostNoticeTypeId NUMERIC, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body VARCHAR(MAX), OwnerUserId NUMERIC, DeletionUserId NUMERIC) CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMERIC, IsUniversal BIT, InputTitle VARCHAR(MAX), MarkdownInputGuidance VARCHAR(MAX), MarkdownPostOwnerGuidance VARCHAR(MAX), MarkdownPrivilegedUserGuidance VARCHAR(MAX), MarkdownConcensusDescription VARCHAR(MAX), CreationDate TIME, CreationModeratorId NUMERIC, ApprovalDate TIME, ApprovalModeratorId NUMERIC, DeactivationDate TIME, DeactivationModeratorId NUMERIC) CREATE TABLE VoteTypes (Id NUMERIC, Name VARCHAR(MAX)) CREATE TABLE Tags (Id NUMERIC, TagName VARCHAR(MAX), Count NUMERIC, ExcerptPostId NUMERIC, WikiPostId NUMERIC) CREATE TABLE ReviewTasks (Id NUMERIC, ReviewTaskTypeId NUMERIC, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMERIC, PostId NUMERIC, SuggestedEditId NUMERIC, CompletedByReviewTaskId NUMERIC) CREATE TABLE Badges (Id NUMERIC, UserId NUMERIC, Name VARCHAR(MAX), Date TIME, Class NUMERIC, TagBased BIT) CREATE TABLE Comments (Id NUMERIC, PostId NUMERIC, Score NUMERIC, Text VARCHAR(MAX), CreationDate TIME, UserDisplayName VARCHAR(MAX), UserId NUMERIC, ContentLicense VARCHAR(MAX)) CREATE TABLE CloseReasonTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE ReviewTaskStates (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE FlagTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE ReviewTaskTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE SuggestedEdits (Id NUMERIC, PostId NUMERIC, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMERIC, Comment VARCHAR(MAX), Text VARCHAR(MAX), Title VARCHAR(MAX), Tags VARCHAR(MAX), RevisionGUID other) CREATE TABLE Users (Id NUMERIC, Reputation NUMERIC, CreationDate TIME, DisplayName VARCHAR(MAX), LastAccessDate TIME, WebsiteUrl VARCHAR(MAX), Location VARCHAR(MAX), AboutMe VARCHAR(MAX), Views NUMERIC, UpVotes NUMERIC, DownVotes NUMERIC, ProfileImageUrl VARCHAR(MAX), EmailHash VARCHAR(MAX), AccountId NUMERIC) CREATE TABLE PostLinks (Id NUMERIC, CreationDate TIME, PostId NUMERIC, RelatedPostId NUMERIC, LinkTypeId NUMERIC)

Build a small adjacency matrix, seeded from one tag.

WITH TaggedPosts(PostId) AS (SELECT PostId FROM PostTags AS pt WHERE pt.TagId = @t_id), DistTags(TagId) AS (SELECT DISTINCT TagId FROM TaggedPosts AS tpos JOIN PostTags AS pt ON pt.PostId = tpos.PostId WHERE pt.TagId != @t_id), PostTagsProject(PostId, TagId) AS (SELECT pt.PostId, pt.TagId FROM PostTags AS pt JOIN DistTags AS dt ON dt.TagId = pt.TagId) SELECT COUNT(first_half.PostId) AS cnt, first_half.TagId AS Tag1, second_half.TagId AS Tag2 FROM PostTagsProject AS first_half JOIN PostTagsProject AS second_half ON first_half.PostId = second_half.PostId GROUP BY first_half.TagId, second_half.TagId ORDER BY first_half.TagId, second_half.TagId

WITH [DistTags]([TagId]) AS (SELECT DISTINCT [TagId] FROM [PostTags] AS [pt_2] JOIN [PostTags] AS [pt] ON [PostId] = [pt].[postid] AND [pt].[tagid] <> @t_id WHERE [pt_2].[tagid] = @t_id), [PostTagsProject]([PostId], [TagId]) AS (SELECT [pt].[postid], [pt].[tagid] FROM [PostTags] AS [pt] JOIN [DistTags] AS [dt] ON [dt].[TagId] = [pt].[tagid]) SELECT COUNT([first_half].[PostId]) AS [cnt], [first_half].[TagId] AS [Tag1], [second_half].[TagId] AS [Tag2] FROM [PostTagsProject] AS [first_half] JOIN [PostTagsProject] AS [second_half] ON [first_half].[PostId] = [second_half].[PostId] GROUP BY [first_half].[TagId], [second_half].[TagId] ORDER BY [first_half].[TagId], [second_half].[TagId]

CREATE TABLE table_56712 ([Date] VARCHAR(MAX), [Visitor] VARCHAR(MAX), [Score] VARCHAR(MAX), [Home] VARCHAR(MAX), [Leading scorer] VARCHAR(MAX), [Attendance] FLOAT, [Record] VARCHAR(MAX))

Who was the visiting team on December 17?

SELECT "Visitor" FROM table_56712 WHERE "Date" = 'december 17'

SELECT [Visitor] FROM [table_56712] WHERE [Date] = 'december 17'

CREATE TABLE lab (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), itemid VARCHAR(MAX), charttime VARCHAR(MAX), flag VARCHAR(MAX), value_unit VARCHAR(MAX), label VARCHAR(MAX), fluid VARCHAR(MAX)) CREATE TABLE diagnoses (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE demographic (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), name VARCHAR(MAX), marital_status VARCHAR(MAX), age VARCHAR(MAX), dob VARCHAR(MAX), gender VARCHAR(MAX), language VARCHAR(MAX), religion VARCHAR(MAX), admission_type VARCHAR(MAX), days_stay VARCHAR(MAX), insurance VARCHAR(MAX), ethnicity VARCHAR(MAX), expire_flag VARCHAR(MAX), admission_location VARCHAR(MAX), discharge_location VARCHAR(MAX), diagnosis VARCHAR(MAX), dod VARCHAR(MAX), dob_year VARCHAR(MAX), dod_year VARCHAR(MAX), admittime VARCHAR(MAX), dischtime VARCHAR(MAX), admityear VARCHAR(MAX)) CREATE TABLE procedures (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE prescriptions (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icustay_id VARCHAR(MAX), drug_type VARCHAR(MAX), drug VARCHAR(MAX), formulary_drug_cd VARCHAR(MAX), route VARCHAR(MAX), drug_dose VARCHAR(MAX))

let me know the type of admission and lab test category of patient with patient id 2560.

SELECT demographic.admission_type, lab."CATEGORY" FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.subject_id = "2560"

SELECT [demographic].[admission_type], [lab].[category] FROM [demographic] JOIN [lab] ON [demographic].[hadm_id] = [lab].[hadm_id] WHERE [2560] = [demographic].[subject_id]

CREATE TABLE table_47133 ([Res.] VARCHAR(MAX), [Record] VARCHAR(MAX), [Opponent] VARCHAR(MAX), [Method] VARCHAR(MAX), [Round] FLOAT, [Time] VARCHAR(MAX), [Location] VARCHAR(MAX))

What is the Record when Evangelista Cyborg was the opponent?

SELECT "Record" FROM table_47133 WHERE "Opponent" = 'evangelista cyborg'

SELECT [Record] FROM [table_47133] WHERE [Opponent] = 'evangelista cyborg'

CREATE TABLE table_41584 ([Residence Hall] VARCHAR(MAX), [Established] FLOAT, [Rector] VARCHAR(MAX), [Campus] VARCHAR(MAX), [Capacity] FLOAT, [Colors] VARCHAR(MAX), [Mascot] VARCHAR(MAX))

Which capacity has a purple and white colors?

SELECT "Capacity" FROM table_41584 WHERE "Colors" = 'purple and white'

SELECT [Capacity] FROM [table_41584] WHERE [Colors] = 'purple and white'

CREATE TABLE table_458 ([Season] FLOAT, [Mens singles] VARCHAR(MAX), [Womens singles] VARCHAR(MAX), [Mens doubles] VARCHAR(MAX), [Womens doubles] VARCHAR(MAX), [Mixed doubles] VARCHAR(MAX))

Who won the womens doubles in 2002?

SELECT "Womens doubles" FROM table_458 WHERE "Season" = '2002'

SELECT [Womens doubles] FROM [table_458] WHERE [Season] = '2002'

CREATE TABLE table_name_17 (to_par VARCHAR, total VARCHAR)

How many strokes off par was the player who scored 157?

SELECT COUNT(to_par) FROM table_name_17 WHERE total = 157

SELECT COUNT([to_par]) FROM [table_name_17] WHERE [total] = 157

CREATE TABLE table_name_88 (year VARCHAR, character VARCHAR)

What is the year of the TV series that has a character of Leiloon Bala Barareh?

SELECT year FROM table_name_88 WHERE character = "leiloon bala barareh"

SELECT [year] FROM [table_name_88] WHERE [character] = [leiloon bala barareh]

CREATE TABLE prescriptions (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, startdate TIME, enddate TIME, drug VARCHAR(MAX), dose_val_rx VARCHAR(MAX), dose_unit_rx VARCHAR(MAX), route VARCHAR(MAX)) CREATE TABLE transfers (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, eventtype VARCHAR(MAX), careunit VARCHAR(MAX), wardid NUMERIC, intime TIME, outtime TIME) CREATE TABLE chartevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, itemid NUMERIC, charttime TIME, valuenum NUMERIC, valueuom VARCHAR(MAX)) CREATE TABLE diagnoses_icd (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icd9_code VARCHAR(MAX), charttime TIME) CREATE TABLE inputevents_cv (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, charttime TIME, itemid NUMERIC, amount NUMERIC) CREATE TABLE icustays (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, first_careunit VARCHAR(MAX), last_careunit VARCHAR(MAX), first_wardid NUMERIC, last_wardid NUMERIC, intime TIME, outtime TIME) CREATE TABLE admissions (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, admittime TIME, dischtime TIME, admission_type VARCHAR(MAX), admission_location VARCHAR(MAX), discharge_location VARCHAR(MAX), insurance VARCHAR(MAX), language VARCHAR(MAX), marital_status VARCHAR(MAX), ethnicity VARCHAR(MAX), age NUMERIC) CREATE TABLE cost (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, event_type VARCHAR(MAX), event_id NUMERIC, chargetime TIME, cost NUMERIC) CREATE TABLE d_icd_procedures (row_id NUMERIC, icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE labevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, itemid NUMERIC, charttime TIME, valuenum NUMERIC, valueuom VARCHAR(MAX)) CREATE TABLE microbiologyevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, charttime TIME, spec_type_desc VARCHAR(MAX), org_name VARCHAR(MAX)) CREATE TABLE d_labitems (row_id NUMERIC, itemid NUMERIC, label VARCHAR(MAX)) CREATE TABLE d_icd_diagnoses (row_id NUMERIC, icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE patients (row_id NUMERIC, subject_id NUMERIC, gender VARCHAR(MAX), dob TIME, dod TIME) CREATE TABLE outputevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, charttime TIME, itemid NUMERIC, value NUMERIC) CREATE TABLE d_items (row_id NUMERIC, itemid NUMERIC, label VARCHAR(MAX), linksto VARCHAR(MAX)) CREATE TABLE procedures_icd (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icd9_code VARCHAR(MAX), charttime TIME)

for the first time, what procedure did since 2 years ago patient 23858 receive?

SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT procedures_icd.icd9_code FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 23858) AND DATETIME(procedures_icd.charttime) >= DATETIME(CURRENT_TIME(), '-2 year') ORDER BY procedures_icd.charttime LIMIT 1)

WITH [_u_0] AS (SELECT [admissions].[hadm_id] AS [hadm_id] FROM [admissions] WHERE [admissions].[subject_id] = 23858 GROUP BY [hadm_id]) SELECT [d_icd_procedures].[short_title] FROM [d_icd_procedures] WHERE [d_icd_procedures].[icd9_code] IN (SELECT TOP 1 [procedures_icd].[icd9_code] FROM [procedures_icd] LEFT JOIN [_u_0] AS [_u_0] ON [_u_0].[] = [procedures_icd].[hadm_id] WHERE DATETIME([procedures_icd].[charttime]) >= DATETIME(CURRENT_TIME(), '-2 year') AND NOT [_u_0].[] IS NULL ORDER BY [procedures_icd].[charttime])

CREATE TABLE instructor (instructor_id INTEGER, name VARCHAR, uniqname VARCHAR) CREATE TABLE course_prerequisite (pre_course_id INTEGER, course_id INTEGER) CREATE TABLE student (student_id INTEGER, lastname VARCHAR, firstname VARCHAR, program_id INTEGER, declare_major VARCHAR, total_credit INTEGER, total_gpa FLOAT, entered_as VARCHAR, admit_term INTEGER, predicted_graduation_semester INTEGER, degree VARCHAR, minor VARCHAR, internship VARCHAR) CREATE TABLE course_tags_count (course_id INTEGER, clear_grading INTEGER, pop_quiz INTEGER, group_projects INTEGER, inspirational INTEGER, long_lectures INTEGER, extra_credit INTEGER, few_tests INTEGER, good_feedback INTEGER, tough_tests INTEGER, heavy_papers INTEGER, cares_for_students INTEGER, heavy_assignments INTEGER, respected INTEGER, participation INTEGER, heavy_reading INTEGER, tough_grader INTEGER, hilarious INTEGER, would_take_again INTEGER, good_lecture INTEGER, no_skip INTEGER) CREATE TABLE student_record (student_id INTEGER, course_id INTEGER, semester INTEGER, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR) CREATE TABLE requirement (requirement_id INTEGER, requirement VARCHAR, college VARCHAR) CREATE TABLE course (course_id INTEGER, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INTEGER, num_enrolled INTEGER, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INTEGER, clarity_score INTEGER, easiness_score INTEGER, helpfulness_score INTEGER) CREATE TABLE ta (campus_job_id INTEGER, student_id INTEGER, location VARCHAR) CREATE TABLE gsi (course_offering_id INTEGER, student_id INTEGER) CREATE TABLE course_offering (offering_id INTEGER, course_id INTEGER, semester INTEGER, section_number INTEGER, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR) CREATE TABLE program_requirement (program_id INTEGER, category VARCHAR, min_credit INTEGER, additional_req VARCHAR) CREATE TABLE program_course (program_id INTEGER, course_id INTEGER, workload INTEGER, category VARCHAR) CREATE TABLE area (course_id INTEGER, area VARCHAR) CREATE TABLE jobs (job_id INTEGER, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INTEGER) CREATE TABLE offering_instructor (offering_instructor_id INTEGER, offering_id INTEGER, instructor_id INTEGER) CREATE TABLE program (program_id INTEGER, name VARCHAR, college VARCHAR, introduction VARCHAR) CREATE TABLE comment_instructor (instructor_id INTEGER, student_id INTEGER, score INTEGER, comment_text VARCHAR) CREATE TABLE semester (semester_id INTEGER, semester VARCHAR, year INTEGER)

In Spring or Summer of 2004 what courses on hardware are on offer ?

SELECT DISTINCT course.department, course.name, course.number, semester.semester FROM course INNER JOIN area ON course.course_id = area.course_id INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester WHERE area.area LIKE '%hardware%' AND semester.semester IN ('SP', 'SU', 'SS') AND semester.year = 2004

SELECT DISTINCT [course].[department], [course].[name], [course].[number], [semester].[semester] FROM [course] JOIN [area] ON [area].[area] LIKE '%hardware%' AND [area].[course_id] = [course].[course_id] JOIN [course_offering] ON [course].[course_id] = [course_offering].[course_id] JOIN [semester] ON [course_offering].[semester] = [semester].[semester_id] AND [semester].[semester] IN ('SP', 'SU', 'SS') AND [semester].[year] = 2004

CREATE TABLE table_name_88 (verb_meaning VARCHAR, part_2 VARCHAR)

What is the verb meaning for *bar as Part 2?

SELECT verb_meaning FROM table_name_88 WHERE part_2 = "*bar"

SELECT [verb_meaning] FROM [table_name_88] WHERE [*bar] = [part_2]

CREATE TABLE table_27804 ([Circuit] VARCHAR(MAX), [Location] VARCHAR(MAX), [Date] VARCHAR(MAX), [Series] VARCHAR(MAX), [Winning driver] VARCHAR(MAX), [Winning team] VARCHAR(MAX))

When fairuz fauzy is the winning driver what is the date?

SELECT "Date" FROM table_27804 WHERE "Winning driver" = 'Fairuz Fauzy'

SELECT [Date] FROM [table_27804] WHERE [Winning driver] = 'Fairuz Fauzy'

CREATE TABLE Dorm_amenity (amenid INTEGER, amenity_name VARCHAR) CREATE TABLE Lives_in (stuid INTEGER, dormid INTEGER, room_number INTEGER) CREATE TABLE Student (StuID INTEGER, LName VARCHAR, Fname VARCHAR, Age INTEGER, Sex VARCHAR, Major INTEGER, Advisor INTEGER, city_code VARCHAR) CREATE TABLE Has_amenity (dormid INTEGER, amenid INTEGER) CREATE TABLE Dorm (dormid INTEGER, dorm_name VARCHAR, student_capacity INTEGER, gender VARCHAR)

Return a bar chart on how many students are older than 20 in each dorm?

SELECT dorm_name, COUNT(*) FROM Student AS T1 JOIN Lives_in AS T2 ON T1.stuid = T2.stuid JOIN Dorm AS T3 ON T3.dormid = T2.dormid WHERE T1.Age > 20 GROUP BY T3.dorm_name

SELECT [dorm_name], COUNT(*) FROM [Student] AS [T1] JOIN [Lives_in] AS [T2] ON [T1].[stuid] = [T2].[stuid] JOIN [Dorm] AS [T3] ON [T2].[dormid] = [T3].[dormid] WHERE [T1].[age] > 20 GROUP BY [T3].[dorm_name]

CREATE TABLE table_train_51 ([id] INTEGER, [active_infection] BIT, [procalcitonin] INTEGER, [oliguria] BIT, [receiving_vasopressor] BIT, [metabolic_acidosis] BIT, [colonized_with_a_multi_drug_resistant_organism] BIT, [hypoperfusion] BIT, [central_venous_oxygen_saturation_scvo2] INTEGER, [venous_to_arterial_co2_gap_dco2] INTEGER, [lactate] INTEGER, [NOUSE] FLOAT)

patient colonized with a multi drug resistant organisms preventing de escalation antibiotic,

SELECT * FROM table_train_51 WHERE colonized_with_a_multi_drug_resistant_organism = 1

SELECT * FROM [table_train_51] WHERE [colonized_with_a_multi_drug_resistant_organism] = 1

CREATE TABLE table_1570003_2 (year INTEGER, open_cup VARCHAR)

What is the most recent year where team made it to 2nd round of the Open Cup?

SELECT MAX(year) FROM table_1570003_2 WHERE open_cup = "2nd Round"

SELECT MAX([year]) FROM [table_1570003_2] WHERE [2nd Round] = [open_cup]

CREATE TABLE table_24032 ([Series Year] FLOAT, [Series-Ending Tournament] VARCHAR(MAX), [Location] VARCHAR(MAX), [Surface] VARCHAR(MAX), [Champion] VARCHAR(MAX), [Runner-up] VARCHAR(MAX), [Score in Final] VARCHAR(MAX))

What was the final score when tracy austin was runner up?

SELECT "Score in Final" FROM table_24032 WHERE "Runner-up" = 'Tracy Austin'

SELECT [Score in Final] FROM [table_24032] WHERE [Runner-up] = 'Tracy Austin'

CREATE TABLE table_44493 ([Archbishop] VARCHAR(MAX), [Born] VARCHAR(MAX), [Ordained Priest] VARCHAR(MAX), [Ordained Bishop] VARCHAR(MAX), [Appointed Archbishop] VARCHAR(MAX), [Vacated throne] VARCHAR(MAX), [Died] VARCHAR(MAX))

When did Archbishop Albert Daeger vacate the throne?

SELECT "Vacated throne" FROM table_44493 WHERE "Archbishop" = 'albert daeger'

SELECT [Vacated throne] FROM [table_44493] WHERE [Archbishop] = 'albert daeger'

CREATE TABLE departments (DEPARTMENT_ID NUMERIC, DEPARTMENT_NAME VARCHAR, MANAGER_ID NUMERIC, LOCATION_ID NUMERIC) CREATE TABLE job_history (EMPLOYEE_ID NUMERIC, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID NUMERIC) CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID NUMERIC) CREATE TABLE regions (REGION_ID NUMERIC, REGION_NAME VARCHAR) CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY NUMERIC, MAX_SALARY NUMERIC) CREATE TABLE employees (EMPLOYEE_ID NUMERIC, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY NUMERIC, COMMISSION_PCT NUMERIC, MANAGER_ID NUMERIC, DEPARTMENT_ID NUMERIC) CREATE TABLE locations (LOCATION_ID NUMERIC, 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, give me the comparison about the sum of manager_id over the hire_date bin hire_date by weekday, and order from low to high by the y-axis.

SELECT HIRE_DATE, SUM(MANAGER_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY SUM(MANAGER_ID)

SELECT [HIRE_DATE], SUM([MANAGER_ID]) FROM [employees] WHERE [FIRST_NAME] LIKE '%D%' OR [FIRST_NAME] LIKE '%S%' ORDER BY SUM([MANAGER_ID])

CREATE TABLE treatment (treatmentid NUMERIC, patientunitstayid NUMERIC, treatmentname VARCHAR(MAX), treatmenttime TIME) CREATE TABLE medication (medicationid NUMERIC, patientunitstayid NUMERIC, drugname VARCHAR(MAX), dosage VARCHAR(MAX), routeadmin VARCHAR(MAX), drugstarttime TIME, drugstoptime TIME) CREATE TABLE microlab (microlabid NUMERIC, patientunitstayid NUMERIC, culturesite VARCHAR(MAX), organism VARCHAR(MAX), culturetakentime TIME) CREATE TABLE diagnosis (diagnosisid NUMERIC, patientunitstayid NUMERIC, diagnosisname VARCHAR(MAX), diagnosistime TIME, icd9code VARCHAR(MAX)) CREATE TABLE vitalperiodic (vitalperiodicid NUMERIC, patientunitstayid NUMERIC, temperature NUMERIC, sao2 NUMERIC, heartrate NUMERIC, respiration NUMERIC, systemicsystolic NUMERIC, systemicdiastolic NUMERIC, systemicmean NUMERIC, observationtime TIME) CREATE TABLE allergy (allergyid NUMERIC, patientunitstayid NUMERIC, drugname VARCHAR(MAX), allergyname VARCHAR(MAX), allergytime TIME) CREATE TABLE cost (costid NUMERIC, uniquepid VARCHAR(MAX), patienthealthsystemstayid NUMERIC, eventtype VARCHAR(MAX), eventid NUMERIC, chargetime TIME, cost NUMERIC) CREATE TABLE lab (labid NUMERIC, patientunitstayid NUMERIC, labname VARCHAR(MAX), labresult NUMERIC, labresulttime TIME) CREATE TABLE patient (uniquepid VARCHAR(MAX), patienthealthsystemstayid NUMERIC, patientunitstayid NUMERIC, gender VARCHAR(MAX), age VARCHAR(MAX), ethnicity VARCHAR(MAX), hospitalid NUMERIC, wardid NUMERIC, admissionheight NUMERIC, admissionweight NUMERIC, dischargeweight NUMERIC, hospitaladmittime TIME, hospitaladmitsource VARCHAR(MAX), unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus VARCHAR(MAX)) CREATE TABLE intakeoutput (intakeoutputid NUMERIC, patientunitstayid NUMERIC, cellpath VARCHAR(MAX), celllabel VARCHAR(MAX), cellvaluenumeric NUMERIC, intakeoutputtime TIME)

since 1 year ago, what were the admission times of patient 006-172277 at the hospital?

SELECT patient.hospitaladmittime FROM patient WHERE patient.uniquepid = '006-172277' AND DATETIME(patient.hospitaladmittime) >= DATETIME(CURRENT_TIME(), '-1 year')

SELECT [patient].[hospitaladmittime] FROM [patient] WHERE [patient].[uniquepid] = '006-172277' AND DATETIME([patient].[hospitaladmittime]) >= DATETIME(CURRENT_TIME(), '-1 year')

CREATE TABLE table_77844 ([Home team] VARCHAR(MAX), [Home team score] VARCHAR(MAX), [Away team] VARCHAR(MAX), [Away team score] VARCHAR(MAX), [Venue] VARCHAR(MAX), [Crowd] FLOAT, [Date] VARCHAR(MAX))

What away team played against Footscray as the home team?

SELECT "Away team" FROM table_77844 WHERE "Home team" = 'footscray'

SELECT [Away team] FROM [table_77844] WHERE [Home team] = 'footscray'

CREATE TABLE table_51030 ([Home team] VARCHAR(MAX), [Home team score] VARCHAR(MAX), [Away team] VARCHAR(MAX), [Away team score] VARCHAR(MAX), [Ground] VARCHAR(MAX), [Crowd] FLOAT, [Date] VARCHAR(MAX), [Time] VARCHAR(MAX))

When the Home Team was Sydney, what did the Away team score?

SELECT "Away team score" FROM table_51030 WHERE "Home team" = 'sydney'

SELECT [Away team score] FROM [table_51030] WHERE [Home team] = 'sydney'

CREATE TABLE table_68321 ([Name of Ship] VARCHAR(MAX), [Length] VARCHAR(MAX), [Max speed] VARCHAR(MAX), [Crew/Capacity] VARCHAR(MAX), [Class] VARCHAR(MAX), [Builder] VARCHAR(MAX), [Delivery] FLOAT)

Who built the ship that is 42.8 m long and was delivered in 2007?

SELECT "Builder" FROM table_68321 WHERE "Length" = '42.8 m' AND "Delivery" = '2007'

SELECT [Builder] FROM [table_68321] WHERE [Delivery] = '2007' AND [Length] = '42.8 m'

CREATE TABLE labevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, itemid NUMERIC, charttime TIME, valuenum NUMERIC, valueuom VARCHAR(MAX)) CREATE TABLE d_icd_diagnoses (row_id NUMERIC, icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE d_items (row_id NUMERIC, itemid NUMERIC, label VARCHAR(MAX), linksto VARCHAR(MAX)) CREATE TABLE cost (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, event_type VARCHAR(MAX), event_id NUMERIC, chargetime TIME, cost NUMERIC) CREATE TABLE admissions (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, admittime TIME, dischtime TIME, admission_type VARCHAR(MAX), admission_location VARCHAR(MAX), discharge_location VARCHAR(MAX), insurance VARCHAR(MAX), language VARCHAR(MAX), marital_status VARCHAR(MAX), ethnicity VARCHAR(MAX), age NUMERIC) CREATE TABLE inputevents_cv (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, charttime TIME, itemid NUMERIC, amount NUMERIC) CREATE TABLE diagnoses_icd (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icd9_code VARCHAR(MAX), charttime TIME) CREATE TABLE d_icd_procedures (row_id NUMERIC, icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE d_labitems (row_id NUMERIC, itemid NUMERIC, label VARCHAR(MAX)) CREATE TABLE microbiologyevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, charttime TIME, spec_type_desc VARCHAR(MAX), org_name VARCHAR(MAX)) CREATE TABLE patients (row_id NUMERIC, subject_id NUMERIC, gender VARCHAR(MAX), dob TIME, dod TIME) CREATE TABLE icustays (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, first_careunit VARCHAR(MAX), last_careunit VARCHAR(MAX), first_wardid NUMERIC, last_wardid NUMERIC, intime TIME, outtime TIME) CREATE TABLE transfers (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, eventtype VARCHAR(MAX), careunit VARCHAR(MAX), wardid NUMERIC, intime TIME, outtime TIME) CREATE TABLE outputevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, charttime TIME, itemid NUMERIC, value NUMERIC) CREATE TABLE prescriptions (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, startdate TIME, enddate TIME, drug VARCHAR(MAX), dose_val_rx VARCHAR(MAX), dose_unit_rx VARCHAR(MAX), route VARCHAR(MAX)) CREATE TABLE chartevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, itemid NUMERIC, charttime TIME, valuenum NUMERIC, valueuom VARCHAR(MAX)) CREATE TABLE procedures_icd (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icd9_code VARCHAR(MAX), charttime TIME)

what was the name of the last intake that patient 739 yesterday had?

SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT inputevents_cv.itemid FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 739)) AND DATETIME(inputevents_cv.charttime, 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') ORDER BY inputevents_cv.charttime DESC LIMIT 1)

WITH [_u_0] AS (SELECT [admissions].[hadm_id] AS [hadm_id] FROM [admissions] WHERE [admissions].[subject_id] = 739 GROUP BY [hadm_id]), [_u_1] AS (SELECT [icustays].[icustay_id] AS [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]) SELECT [d_items].[label] FROM [d_items] WHERE [d_items].[itemid] IN (SELECT TOP 1 [inputevents_cv].[itemid] FROM [inputevents_cv] LEFT JOIN [_u_1] AS [_u_1] ON [_u_1].[] = [inputevents_cv].[icustay_id] WHERE DATETIME([inputevents_cv].[charttime], 'start of day') = DATETIME(CURRENT_TIME(), 'start of day', '-1 day') AND NOT [_u_1].[] IS NULL ORDER BY [inputevents_cv].[charttime] DESC)

CREATE TABLE table_name_27 (away_team VARCHAR, venue VARCHAR)

What is the away team's score at punt road oval?

SELECT away_team FROM table_name_27 WHERE venue = "punt road oval"

SELECT [away_team] FROM [table_name_27] WHERE [punt road oval] = [venue]

CREATE TABLE regions (REGION_ID NUMERIC, REGION_NAME VARCHAR) CREATE TABLE employees (EMPLOYEE_ID NUMERIC, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY NUMERIC, COMMISSION_PCT NUMERIC, MANAGER_ID NUMERIC, DEPARTMENT_ID NUMERIC) CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY NUMERIC, MAX_SALARY NUMERIC) CREATE TABLE departments (DEPARTMENT_ID NUMERIC, DEPARTMENT_NAME VARCHAR, MANAGER_ID NUMERIC, LOCATION_ID NUMERIC) CREATE TABLE job_history (EMPLOYEE_ID NUMERIC, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID NUMERIC) CREATE TABLE locations (LOCATION_ID NUMERIC, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR) CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID NUMERIC)

For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, visualize a bar chart about the distribution of hire_date and the average of manager_id bin hire_date by time.

SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40

SELECT [HIRE_DATE], AVG([MANAGER_ID]) FROM [employees] WHERE ([COMMISSION_PCT] <> [null] OR [DEPARTMENT_ID] <> 40) AND ([DEPARTMENT_ID] <> 40 OR [SALARY] <= 12000) AND ([DEPARTMENT_ID] <> 40 OR [SALARY] >= 8000)

CREATE TABLE table_17501 ([.308 Winchester cartridge type] VARCHAR(MAX), [100 m group ( mm ) ] VARCHAR(MAX), [100 m group ( MOA ) ] VARCHAR(MAX), [300 m group ( mm ) ] VARCHAR(MAX), [300 m group ( MOA ) ] VARCHAR(MAX))

For which 300 m group ( moa ) is the 300 m group (mm) 45

SELECT "300 m group ( MOA )" FROM table_17501 WHERE "300 m group (mm)" = '45'

SELECT [300 m group ( MOA )] FROM [table_17501] WHERE [300 m group (mm)] = '45'

CREATE TABLE record (ID INTEGER, Result VARCHAR(MAX), Swimmer_ID INTEGER, Event_ID INTEGER) CREATE TABLE stadium (ID INTEGER, name VARCHAR(MAX), Capacity INTEGER, City VARCHAR(MAX), Country VARCHAR(MAX), Opening_year INTEGER) CREATE TABLE event (ID INTEGER, Name VARCHAR(MAX), Stadium_ID INTEGER, Year VARCHAR(MAX)) CREATE TABLE swimmer (ID INTEGER, name VARCHAR(MAX), Nationality VARCHAR(MAX), meter_100 FLOAT, meter_200 VARCHAR(MAX), meter_300 VARCHAR(MAX), meter_400 VARCHAR(MAX), meter_500 VARCHAR(MAX), meter_600 VARCHAR(MAX), meter_700 VARCHAR(MAX), Time VARCHAR(MAX))

Find meter_400 and ID , and visualize them by a bar chart, and display x axis in desc order please.

SELECT meter_400, ID FROM swimmer ORDER BY meter_400 DESC

SELECT [meter_400], [ID] FROM [swimmer] ORDER BY [meter_400] DESC

CREATE TABLE table_10102 ([Venue] VARCHAR(MAX), [Hosted] FLOAT, [Average] FLOAT, [Highest] FLOAT, [Lowest] FLOAT, [Total] FLOAT, [Last Year] VARCHAR(MAX), [Up/Down] VARCHAR(MAX))

What is the smallest hosted when the average is less than 35,208 and total is greater than 593,202?

SELECT MIN("Hosted") FROM table_10102 WHERE "Average" < '35,208' AND "Total" > '593,202'

SELECT MIN([Hosted]) FROM [table_10102] WHERE [Average] < '35,208' AND [Total] > '593,202'

CREATE TABLE table_31452 ([Game] FLOAT, [Date] VARCHAR(MAX), [Team] VARCHAR(MAX), [Score] VARCHAR(MAX), [High points] VARCHAR(MAX), [High rebounds] VARCHAR(MAX), [High assists] VARCHAR(MAX), [Location Attendance] VARCHAR(MAX), [Record] VARCHAR(MAX))

in december 7 who made the high points

SELECT "High points" FROM table_31452 WHERE "Date" = 'December 7'

SELECT [High points] FROM [table_31452] WHERE [Date] = 'December 7'

CREATE TABLE table_23308178_4 (score VARCHAR, date VARCHAR)

What was the score on October 29?

SELECT score FROM table_23308178_4 WHERE date = "October 29"

SELECT [score] FROM [table_23308178_4] WHERE [October 29] = [date]

CREATE TABLE catalog_structure (catalog_level_number NUMERIC, catalog_id NUMERIC, catalog_level_name VARCHAR(MAX)) CREATE TABLE catalogs (catalog_id NUMERIC, catalog_name VARCHAR(MAX), catalog_publisher VARCHAR(MAX), date_of_publication TIME, date_of_latest_revision TIME) CREATE TABLE attribute_definitions (attribute_id NUMERIC, attribute_name VARCHAR(MAX), attribute_data_type VARCHAR(MAX)) CREATE TABLE catalog_contents_additional_attributes (catalog_entry_id NUMERIC, catalog_level_number NUMERIC, attribute_id NUMERIC, attribute_value VARCHAR(MAX)) CREATE TABLE catalog_contents (catalog_entry_id NUMERIC, catalog_level_number NUMERIC, parent_entry_id NUMERIC, previous_entry_id NUMERIC, next_entry_id NUMERIC, catalog_entry_name VARCHAR(MAX), product_stock_number VARCHAR(MAX), price_in_dollars NUMERIC, price_in_euros NUMERIC, price_in_pounds NUMERIC, capacity VARCHAR(MAX), length VARCHAR(MAX), height VARCHAR(MAX), width VARCHAR(MAX))

What are the catalog entry names of the products with next entry ID above 8?

SELECT catalog_entry_name FROM catalog_contents WHERE next_entry_id > 8

SELECT [catalog_entry_name] FROM [catalog_contents] WHERE [next_entry_id] > 8

CREATE TABLE table_49538 ([Rider] VARCHAR(MAX), [Manufacturer] VARCHAR(MAX), [Laps] FLOAT, [Time] VARCHAR(MAX), [Grid] FLOAT)

If the manufacturer is Yamaha, and the laps driven were under 32, what's the average of all grid sizes with that criteria?

SELECT AVG("Grid") FROM table_49538 WHERE "Laps" < '32' AND "Manufacturer" = 'yamaha'

SELECT AVG([Grid]) FROM [table_49538] WHERE [Laps] < '32' AND [Manufacturer] = 'yamaha'

CREATE TABLE table_name_31 (melamine_content_mg_kg_ VARCHAR, samples_failed VARCHAR, product VARCHAR)

What's the melamine content of having more than 1 samples failed?

SELECT melamine_content_mg_kg_ FROM table_name_31 WHERE samples_failed > 1 AND product = "英雄牌嬰幼兒配方乳粉"

SELECT [melamine_content_mg_kg_] FROM [table_name_31] WHERE [product] = [英雄牌嬰幼兒配方乳粉] AND [samples_failed] > 1

CREATE TABLE routes (rid NUMERIC, dst_apid NUMERIC, dst_ap VARCHAR(MAX), src_apid NUMERIC, src_ap VARCHAR(MAX), alid NUMERIC, airline VARCHAR(MAX), codeshare VARCHAR(MAX)) CREATE TABLE airlines (alid NUMERIC, name VARCHAR(MAX), iata VARCHAR(MAX), icao VARCHAR(MAX), callsign VARCHAR(MAX), country VARCHAR(MAX), active VARCHAR(MAX)) CREATE TABLE airports (apid NUMERIC, name VARCHAR(MAX), city VARCHAR(MAX), country VARCHAR(MAX), x NUMERIC, y NUMERIC, elevation NUMERIC, iata VARCHAR(MAX), icao VARCHAR(MAX))

What is the total number of routes for each country and airline in that country?

SELECT T1.country, T1.name, COUNT(*) FROM airlines AS T1 JOIN routes AS T2 ON T1.alid = T2.alid GROUP BY T1.country, T1.name

SELECT [T1].[country], [T1].[name], COUNT(*) FROM [airlines] AS [T1] JOIN [routes] AS [T2] ON [T1].[alid] = [T2].[alid] GROUP BY [T1].[country], [T1].[name]

CREATE TABLE table_29538 ([Members] VARCHAR(MAX), [Country] VARCHAR(MAX), [Year Established] FLOAT, [World Rank by THE-WUR , 2013] VARCHAR(MAX), [World Rank by ARWU , 2013] VARCHAR(MAX), [World Rank by QS , 2013] VARCHAR(MAX))

What was the world rank by ARWU in 2013 of the University of T bingen?

SELECT "World Rank by ARWU , 2013" FROM table_29538 WHERE "Members" = 'University of Tübingen'

SELECT [World Rank by ARWU , 2013] FROM [table_29538] WHERE [Members] = 'University of Tübingen'

CREATE TABLE table_40659 ([Match] FLOAT, [Date] VARCHAR(MAX), [Tournament] VARCHAR(MAX), [Location] VARCHAR(MAX), [Opponent team] VARCHAR(MAX), [Score] VARCHAR(MAX))

Who was the opponent at Pasir Gudang, Malaysia with a match larger than 2?

SELECT "Opponent team" FROM table_40659 WHERE "Match" > '2' AND "Location" = 'pasir gudang, malaysia'

SELECT [Opponent team] FROM [table_40659] WHERE [Location] = 'pasir gudang, malaysia' AND [Match] > '2'

CREATE TABLE ta (campus_job_id INTEGER, student_id INTEGER, location VARCHAR) CREATE TABLE course_prerequisite (pre_course_id INTEGER, course_id INTEGER) CREATE TABLE jobs (job_id INTEGER, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INTEGER) CREATE TABLE student (student_id INTEGER, lastname VARCHAR, firstname VARCHAR, program_id INTEGER, declare_major VARCHAR, total_credit INTEGER, total_gpa FLOAT, entered_as VARCHAR, admit_term INTEGER, predicted_graduation_semester INTEGER, degree VARCHAR, minor VARCHAR, internship VARCHAR) CREATE TABLE student_record (student_id INTEGER, course_id INTEGER, semester INTEGER, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR) CREATE TABLE course_offering (offering_id INTEGER, course_id INTEGER, semester INTEGER, section_number INTEGER, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR) CREATE TABLE program_requirement (program_id INTEGER, category VARCHAR, min_credit INTEGER, additional_req VARCHAR) CREATE TABLE semester (semester_id INTEGER, semester VARCHAR, year INTEGER) CREATE TABLE course (course_id INTEGER, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INTEGER, num_enrolled INTEGER, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INTEGER, clarity_score INTEGER, easiness_score INTEGER, helpfulness_score INTEGER) CREATE TABLE program (program_id INTEGER, name VARCHAR, college VARCHAR, introduction VARCHAR) CREATE TABLE instructor (instructor_id INTEGER, name VARCHAR, uniqname VARCHAR) CREATE TABLE requirement (requirement_id INTEGER, requirement VARCHAR, college VARCHAR) CREATE TABLE offering_instructor (offering_instructor_id INTEGER, offering_id INTEGER, instructor_id INTEGER) CREATE TABLE gsi (course_offering_id INTEGER, student_id INTEGER) CREATE TABLE area (course_id INTEGER, area VARCHAR) CREATE TABLE program_course (program_id INTEGER, course_id INTEGER, workload INTEGER, category VARCHAR) CREATE TABLE comment_instructor (instructor_id INTEGER, student_id INTEGER, score INTEGER, comment_text VARCHAR) CREATE TABLE course_tags_count (course_id INTEGER, clear_grading INTEGER, pop_quiz INTEGER, group_projects INTEGER, inspirational INTEGER, long_lectures INTEGER, extra_credit INTEGER, few_tests INTEGER, good_feedback INTEGER, tough_tests INTEGER, heavy_papers INTEGER, cares_for_students INTEGER, heavy_assignments INTEGER, respected INTEGER, participation INTEGER, heavy_reading INTEGER, tough_grader INTEGER, hilarious INTEGER, would_take_again INTEGER, good_lecture INTEGER, no_skip INTEGER)

Is the only person who teaches Nutrition Prof. Pifer ?

SELECT DISTINCT course.department, course.name, course.number, instructor.name FROM course, course_offering, instructor, offering_instructor WHERE course.course_id = course_offering.course_id AND course.name LIKE '%Nutrition%' AND NOT instructor.name LIKE '%Pifer%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id

SELECT DISTINCT [course].[department], [course].[name], [course].[number], [instructor].[name] FROM [course] JOIN [course_offering] ON [course].[course_id] = [course_offering].[course_id] JOIN [offering_instructor] ON [course_offering].[offering_id] = [offering_instructor].[offering_id] JOIN [instructor] ON [instructor].[instructor_id] = [offering_instructor].[instructor_id] AND NOT [instructor].[name] LIKE '%Pifer%' WHERE [course].[name] LIKE '%Nutrition%'

CREATE TABLE table_30390 ([Position] FLOAT, [Club] VARCHAR(MAX), [Played] FLOAT, [Won] FLOAT, [Drawn] FLOAT, [Lost] FLOAT, [Pts For] FLOAT, [Pts Agst] FLOAT, [Points] FLOAT, [Percent] VARCHAR(MAX))

How many points did the team that won 5 games make?

SELECT "Pts For" FROM table_30390 WHERE "Won" = '5'

SELECT [Pts For] FROM [table_30390] WHERE [Won] = '5'

CREATE TABLE table_47185 ([Name] VARCHAR(MAX), [Year Began] VARCHAR(MAX), [s Registered user] VARCHAR(MAX), [Updated in past 30 days] VARCHAR(MAX), [Registration] VARCHAR(MAX), [Ability to syndicate off-site feeds] VARCHAR(MAX), [Userpics Free] VARCHAR(MAX), [Userpics Paid] VARCHAR(MAX), [Monthly Cost for Paid Account] VARCHAR(MAX), [Yearly Cost for Paid Account] VARCHAR(MAX), [Permanent Account] VARCHAR(MAX))

What is Userpics Free, when Monthly Cost For Paid Account is 'unknown', and when S Registered User is 2340?

SELECT "Userpics Free" FROM table_47185 WHERE "Monthly Cost for Paid Account" = 'unknown' AND "s Registered user" = '2340'

SELECT [Userpics Free] FROM [table_47185] WHERE [Monthly Cost for Paid Account] = 'unknown' AND [s Registered user] = '2340'

CREATE TABLE table_name_92 (country VARCHAR, player VARCHAR)

What country has player Nick Faldo?

SELECT country FROM table_name_92 WHERE player = "nick faldo"

SELECT [country] FROM [table_name_92] WHERE [nick faldo] = [player]

CREATE TABLE course (course_id INTEGER, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INTEGER, num_enrolled INTEGER, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INTEGER, clarity_score INTEGER, easiness_score INTEGER, helpfulness_score INTEGER) CREATE TABLE student_record (student_id INTEGER, course_id INTEGER, semester INTEGER, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR) CREATE TABLE course_prerequisite (pre_course_id INTEGER, course_id INTEGER) CREATE TABLE semester (semester_id INTEGER, semester VARCHAR, year INTEGER) CREATE TABLE ta (campus_job_id INTEGER, student_id INTEGER, location VARCHAR) CREATE TABLE requirement (requirement_id INTEGER, requirement VARCHAR, college VARCHAR) CREATE TABLE jobs (job_id INTEGER, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INTEGER) CREATE TABLE offering_instructor (offering_instructor_id INTEGER, offering_id INTEGER, instructor_id INTEGER) CREATE TABLE gsi (course_offering_id INTEGER, student_id INTEGER) CREATE TABLE course_tags_count (course_id INTEGER, clear_grading INTEGER, pop_quiz INTEGER, group_projects INTEGER, inspirational INTEGER, long_lectures INTEGER, extra_credit INTEGER, few_tests INTEGER, good_feedback INTEGER, tough_tests INTEGER, heavy_papers INTEGER, cares_for_students INTEGER, heavy_assignments INTEGER, respected INTEGER, participation INTEGER, heavy_reading INTEGER, tough_grader INTEGER, hilarious INTEGER, would_take_again INTEGER, good_lecture INTEGER, no_skip INTEGER) CREATE TABLE course_offering (offering_id INTEGER, course_id INTEGER, semester INTEGER, section_number INTEGER, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR) CREATE TABLE comment_instructor (instructor_id INTEGER, student_id INTEGER, score INTEGER, comment_text VARCHAR) CREATE TABLE area (course_id INTEGER, area VARCHAR) CREATE TABLE program_requirement (program_id INTEGER, category VARCHAR, min_credit INTEGER, additional_req VARCHAR) CREATE TABLE program_course (program_id INTEGER, course_id INTEGER, workload INTEGER, category VARCHAR) CREATE TABLE student (student_id INTEGER, lastname VARCHAR, firstname VARCHAR, program_id INTEGER, declare_major VARCHAR, total_credit INTEGER, total_gpa FLOAT, entered_as VARCHAR, admit_term INTEGER, predicted_graduation_semester INTEGER, degree VARCHAR, minor VARCHAR, internship VARCHAR) CREATE TABLE program (program_id INTEGER, name VARCHAR, college VARCHAR, introduction VARCHAR) CREATE TABLE instructor (instructor_id INTEGER, name VARCHAR, uniqname VARCHAR)

Which courses for Applied Economics are worth 16 credits ?

SELECT DISTINCT department, name, number FROM course WHERE (description LIKE '%Applied Economics%' OR name LIKE '%Applied Economics%') AND credits = 16

SELECT DISTINCT [department], [name], [number] FROM [course] WHERE [credits] = 16 AND ([description] LIKE '%Applied Economics%' OR [name] LIKE '%Applied Economics%')

CREATE TABLE table_29825 ([Game] FLOAT, [Date] VARCHAR(MAX), [Team] VARCHAR(MAX), [Score] VARCHAR(MAX), [High points] VARCHAR(MAX), [High rebounds] VARCHAR(MAX), [High assists] VARCHAR(MAX), [Location Attendance] VARCHAR(MAX), [Record] VARCHAR(MAX))

What is the record for the game on november 25?

SELECT "Record" FROM table_29825 WHERE "Date" = 'November 25'

SELECT [Record] FROM [table_29825] WHERE [Date] = 'November 25'

CREATE TABLE table_7448 ([Player] VARCHAR(MAX), [Nationality] VARCHAR(MAX), [Position] VARCHAR(MAX), [Years in Orlando] VARCHAR(MAX), [School/Club Team] VARCHAR(MAX))

Which Player has a Nationality of united states, a Position of forward, and a School/Club Team of notre dame?

SELECT "Player" FROM table_7448 WHERE "Nationality" = 'united states' AND "Position" = 'forward' AND "School/Club Team" = 'notre dame'

SELECT [Player] FROM [table_7448] WHERE [Nationality] = 'united states' AND [Position] = 'forward' AND [School/Club Team] = 'notre dame'

CREATE TABLE table_2380212_1 (league VARCHAR, avg_attendance VARCHAR)

How many different Leagues had average attendance of 3589?

SELECT COUNT(league) FROM table_2380212_1 WHERE avg_attendance = 3589

SELECT COUNT([league]) FROM [table_2380212_1] WHERE [avg_attendance] = 3589

CREATE TABLE table_35423 ([Name] VARCHAR(MAX), [Innhabitants] FLOAT, [Area] FLOAT, [Mayor] VARCHAR(MAX), [Party] VARCHAR(MAX), [Municipal code] FLOAT, [Language form] VARCHAR(MAX))

How many people does the KRF Party preside over?

SELECT AVG("Innhabitants") FROM table_35423 WHERE "Party" = 'krf'

SELECT AVG([Innhabitants]) FROM [table_35423] WHERE [Party] = 'krf'

CREATE TABLE demographic (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), name VARCHAR(MAX), marital_status VARCHAR(MAX), age VARCHAR(MAX), dob VARCHAR(MAX), gender VARCHAR(MAX), language VARCHAR(MAX), religion VARCHAR(MAX), admission_type VARCHAR(MAX), days_stay VARCHAR(MAX), insurance VARCHAR(MAX), ethnicity VARCHAR(MAX), expire_flag VARCHAR(MAX), admission_location VARCHAR(MAX), discharge_location VARCHAR(MAX), diagnosis VARCHAR(MAX), dod VARCHAR(MAX), dob_year VARCHAR(MAX), dod_year VARCHAR(MAX), admittime VARCHAR(MAX), dischtime VARCHAR(MAX), admityear VARCHAR(MAX)) CREATE TABLE diagnoses (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE lab (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), itemid VARCHAR(MAX), charttime VARCHAR(MAX), flag VARCHAR(MAX), value_unit VARCHAR(MAX), label VARCHAR(MAX), fluid VARCHAR(MAX)) CREATE TABLE procedures (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE prescriptions (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icustay_id VARCHAR(MAX), drug_type VARCHAR(MAX), drug VARCHAR(MAX), formulary_drug_cd VARCHAR(MAX), route VARCHAR(MAX), drug_dose VARCHAR(MAX))

what is the number of patients whose admission year is less than 2170 and drug name is clopidogrel bisulfate?

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admityear < "2170" AND prescriptions.drug = "Clopidogrel Bisulfate"

SELECT COUNT(DISTINCT [demographic].[subject_id]) FROM [demographic] JOIN [prescriptions] ON [Clopidogrel Bisulfate] = [prescriptions].[drug] AND [demographic].[hadm_id] = [prescriptions].[hadm_id] WHERE [2170] > [demographic].[admityear]

CREATE TABLE vitalperiodic (vitalperiodicid NUMERIC, patientunitstayid NUMERIC, temperature NUMERIC, sao2 NUMERIC, heartrate NUMERIC, respiration NUMERIC, systemicsystolic NUMERIC, systemicdiastolic NUMERIC, systemicmean NUMERIC, observationtime TIME) CREATE TABLE cost (costid NUMERIC, uniquepid VARCHAR(MAX), patienthealthsystemstayid NUMERIC, eventtype VARCHAR(MAX), eventid NUMERIC, chargetime TIME, cost NUMERIC) CREATE TABLE intakeoutput (intakeoutputid NUMERIC, patientunitstayid NUMERIC, cellpath VARCHAR(MAX), celllabel VARCHAR(MAX), cellvaluenumeric NUMERIC, intakeoutputtime TIME) CREATE TABLE lab (labid NUMERIC, patientunitstayid NUMERIC, labname VARCHAR(MAX), labresult NUMERIC, labresulttime TIME) CREATE TABLE diagnosis (diagnosisid NUMERIC, patientunitstayid NUMERIC, diagnosisname VARCHAR(MAX), diagnosistime TIME, icd9code VARCHAR(MAX)) CREATE TABLE treatment (treatmentid NUMERIC, patientunitstayid NUMERIC, treatmentname VARCHAR(MAX), treatmenttime TIME) CREATE TABLE patient (uniquepid VARCHAR(MAX), patienthealthsystemstayid NUMERIC, patientunitstayid NUMERIC, gender VARCHAR(MAX), age VARCHAR(MAX), ethnicity VARCHAR(MAX), hospitalid NUMERIC, wardid NUMERIC, admissionheight NUMERIC, admissionweight NUMERIC, dischargeweight NUMERIC, hospitaladmittime TIME, hospitaladmitsource VARCHAR(MAX), unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus VARCHAR(MAX)) CREATE TABLE allergy (allergyid NUMERIC, patientunitstayid NUMERIC, drugname VARCHAR(MAX), allergyname VARCHAR(MAX), allergytime TIME) CREATE TABLE medication (medicationid NUMERIC, patientunitstayid NUMERIC, drugname VARCHAR(MAX), dosage VARCHAR(MAX), routeadmin VARCHAR(MAX), drugstarttime TIME, drugstoptime TIME) CREATE TABLE microlab (microlabid NUMERIC, patientunitstayid NUMERIC, culturesite VARCHAR(MAX), organism VARCHAR(MAX), culturetakentime TIME)

was patient 018-118331 on a analgesics - non-narcotoc analgesic this year?

SELECT COUNT(*) > 0 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '018-118331')) AND treatment.treatmentname = 'analgesics - non-narcotoc analgesic' AND DATETIME(treatment.treatmenttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year')

WITH [_u_0] AS (SELECT [patient].[patienthealthsystemstayid] AS [patienthealthsystemstayid] FROM [patient] WHERE [patient].[uniquepid] = '018-118331' GROUP BY [patienthealthsystemstayid]), [_u_1] AS (SELECT [patient].[patientunitstayid] AS [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 [treatment] LEFT JOIN [_u_1] AS [_u_1] ON [_u_1].[] = [treatment].[patientunitstayid] WHERE [treatment].[treatmentname] = 'analgesics - non-narcotoc analgesic' AND DATETIME([treatment].[treatmenttime], 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') AND NOT [_u_1].[] IS NULL

CREATE TABLE table_43505 ([Tournament] VARCHAR(MAX), [1978] VARCHAR(MAX), [1979] VARCHAR(MAX), [1980] VARCHAR(MAX), [1982] VARCHAR(MAX), [1983] VARCHAR(MAX), [1984] VARCHAR(MAX), [1985] VARCHAR(MAX), [1986] VARCHAR(MAX), [1987] VARCHAR(MAX), [1988] VARCHAR(MAX), [1989] VARCHAR(MAX), [1990] VARCHAR(MAX), [1991] VARCHAR(MAX), [1992] VARCHAR(MAX), [Career SR] VARCHAR(MAX))

What is 1982, when 1978 is 'A', when 1985 is '4R', and when 1991 is '1R'?

SELECT "1982" FROM table_43505 WHERE "1978" = 'a' AND "1985" = '4r' AND "1991" = '1r'

SELECT [1982] FROM [table_43505] WHERE [1978] = 'a' AND [1985] = '4r' AND [1991] = '1r'

CREATE TABLE entrepreneur (entrepreneur_id NUMERIC, people_id NUMERIC, company VARCHAR(MAX), money_requested NUMERIC, investor VARCHAR(MAX)) CREATE TABLE people (people_id NUMERIC, name VARCHAR(MAX), height NUMERIC, weight NUMERIC, date_of_birth VARCHAR(MAX))

What is the name of the entrepreneur with the greatest weight?

SELECT T2.name FROM entrepreneur AS T1 JOIN people AS T2 ON T1.people_id = T2.people_id ORDER BY T2.weight DESC LIMIT 1

SELECT TOP 1 [T2].[name] FROM [entrepreneur] AS [T1] JOIN [people] AS [T2] ON [T1].[people_id] = [T2].[people_id] ORDER BY [T2].[weight] DESC

CREATE TABLE SuggestedEditVotes (Id NUMERIC, SuggestedEditId NUMERIC, UserId NUMERIC, VoteTypeId NUMERIC, CreationDate TIME, TargetUserId NUMERIC, TargetRepChange NUMERIC) CREATE TABLE PostFeedback (Id NUMERIC, PostId NUMERIC, IsAnonymous BIT, VoteTypeId NUMERIC, CreationDate TIME) CREATE TABLE Users (Id NUMERIC, Reputation NUMERIC, CreationDate TIME, DisplayName VARCHAR(MAX), LastAccessDate TIME, WebsiteUrl VARCHAR(MAX), Location VARCHAR(MAX), AboutMe VARCHAR(MAX), Views NUMERIC, UpVotes NUMERIC, DownVotes NUMERIC, ProfileImageUrl VARCHAR(MAX), EmailHash VARCHAR(MAX), AccountId NUMERIC) CREATE TABLE PostHistoryTypes (Id NUMERIC, Name VARCHAR(MAX)) CREATE TABLE Badges (Id NUMERIC, UserId NUMERIC, Name VARCHAR(MAX), Date TIME, Class NUMERIC, TagBased BIT) CREATE TABLE PendingFlags (Id NUMERIC, FlagTypeId NUMERIC, PostId NUMERIC, CreationDate TIME, CloseReasonTypeId NUMERIC, CloseAsOffTopicReasonTypeId NUMERIC, DuplicateOfQuestionId NUMERIC, BelongsOnBaseHostAddress VARCHAR(MAX)) CREATE TABLE PostHistory (Id NUMERIC, PostHistoryTypeId NUMERIC, PostId NUMERIC, RevisionGUID other, CreationDate TIME, UserId NUMERIC, UserDisplayName VARCHAR(MAX), Comment VARCHAR(MAX), Text VARCHAR(MAX), ContentLicense VARCHAR(MAX)) CREATE TABLE ReviewTaskResults (Id NUMERIC, ReviewTaskId NUMERIC, ReviewTaskResultTypeId NUMERIC, CreationDate TIME, RejectionReasonId NUMERIC, Comment VARCHAR(MAX)) CREATE TABLE PostTags (PostId NUMERIC, TagId NUMERIC) CREATE TABLE Votes (Id NUMERIC, PostId NUMERIC, VoteTypeId NUMERIC, UserId NUMERIC, CreationDate TIME, BountyAmount NUMERIC) CREATE TABLE PostNotices (Id NUMERIC, PostId NUMERIC, PostNoticeTypeId NUMERIC, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body VARCHAR(MAX), OwnerUserId NUMERIC, DeletionUserId NUMERIC) CREATE TABLE ReviewTaskStates (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE PostsWithDeleted (Id NUMERIC, PostTypeId NUMERIC, AcceptedAnswerId NUMERIC, ParentId NUMERIC, CreationDate TIME, DeletionDate TIME, Score NUMERIC, ViewCount NUMERIC, Body VARCHAR(MAX), OwnerUserId NUMERIC, OwnerDisplayName VARCHAR(MAX), LastEditorUserId NUMERIC, LastEditorDisplayName VARCHAR(MAX), LastEditDate TIME, LastActivityDate TIME, Title VARCHAR(MAX), Tags VARCHAR(MAX), AnswerCount NUMERIC, CommentCount NUMERIC, FavoriteCount NUMERIC, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense VARCHAR(MAX)) CREATE TABLE ReviewTaskTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE ReviewTasks (Id NUMERIC, ReviewTaskTypeId NUMERIC, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMERIC, PostId NUMERIC, SuggestedEditId NUMERIC, CompletedByReviewTaskId NUMERIC) CREATE TABLE CloseReasonTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE Tags (Id NUMERIC, TagName VARCHAR(MAX), Count NUMERIC, ExcerptPostId NUMERIC, WikiPostId NUMERIC) CREATE TABLE FlagTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE SuggestedEdits (Id NUMERIC, PostId NUMERIC, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId NUMERIC, Comment VARCHAR(MAX), Text VARCHAR(MAX), Title VARCHAR(MAX), Tags VARCHAR(MAX), RevisionGUID other) CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMERIC, IsUniversal BIT, InputTitle VARCHAR(MAX), MarkdownInputGuidance VARCHAR(MAX), MarkdownPostOwnerGuidance VARCHAR(MAX), MarkdownPrivilegedUserGuidance VARCHAR(MAX), MarkdownConcensusDescription VARCHAR(MAX), CreationDate TIME, CreationModeratorId NUMERIC, ApprovalDate TIME, ApprovalModeratorId NUMERIC, DeactivationDate TIME, DeactivationModeratorId NUMERIC) CREATE TABLE PostNoticeTypes (Id NUMERIC, ClassId NUMERIC, Name VARCHAR(MAX), Body VARCHAR(MAX), IsHidden BIT, Predefined BIT, PostNoticeDurationId NUMERIC) CREATE TABLE Comments (Id NUMERIC, PostId NUMERIC, Score NUMERIC, Text VARCHAR(MAX), CreationDate TIME, UserDisplayName VARCHAR(MAX), UserId NUMERIC, ContentLicense VARCHAR(MAX)) CREATE TABLE VoteTypes (Id NUMERIC, Name VARCHAR(MAX)) CREATE TABLE ReviewTaskResultTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE Posts (Id NUMERIC, PostTypeId NUMERIC, AcceptedAnswerId NUMERIC, ParentId NUMERIC, CreationDate TIME, DeletionDate TIME, Score NUMERIC, ViewCount NUMERIC, Body VARCHAR(MAX), OwnerUserId NUMERIC, OwnerDisplayName VARCHAR(MAX), LastEditorUserId NUMERIC, LastEditorDisplayName VARCHAR(MAX), LastEditDate TIME, LastActivityDate TIME, Title VARCHAR(MAX), Tags VARCHAR(MAX), AnswerCount NUMERIC, CommentCount NUMERIC, FavoriteCount NUMERIC, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense VARCHAR(MAX)) CREATE TABLE ReviewRejectionReasons (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX), PostTypeId NUMERIC) CREATE TABLE PostTypes (Id NUMERIC, Name VARCHAR(MAX)) CREATE TABLE PostLinks (Id NUMERIC, CreationDate TIME, PostId NUMERIC, RelatedPostId NUMERIC, LinkTypeId NUMERIC) CREATE TABLE TagSynonyms (Id NUMERIC, SourceTagName VARCHAR(MAX), TargetTagName VARCHAR(MAX), CreationDate TIME, OwnerUserId NUMERIC, AutoRenameCount NUMERIC, LastAutoRename TIME, Score NUMERIC, ApprovedByUserId NUMERIC, ApprovalDate TIME)

Score vs. Number of bookmarks.

SELECT COUNT(*) AS "Total questions", SUM(CASE WHEN Score > COALESCE(FavoriteCount, 0) THEN 1 ELSE 0 END) AS "Score > Bookmarks", SUM(CASE WHEN Score = COALESCE(FavoriteCount, 0) THEN 1 ELSE 0 END) AS "Score = Bookmarks", SUM(CASE WHEN Score < COALESCE(FavoriteCount, 0) THEN 1 ELSE 0 END) AS "Score < Bookmarks" FROM Posts WHERE PostTypeId = 1

SELECT COUNT(*) AS [Total questions], SUM(CASE WHEN [Score] > COALESCE([FavoriteCount], 0) THEN 1 ELSE 0 END) AS [Score > Bookmarks], SUM(CASE WHEN [Score] = COALESCE([FavoriteCount], 0) THEN 1 ELSE 0 END) AS [Score = Bookmarks], SUM(CASE WHEN [Score] < COALESCE([FavoriteCount], 0) THEN 1 ELSE 0 END) AS [Score < Bookmarks] FROM [Posts] WHERE [PostTypeId] = 1

CREATE TABLE Ref_Calendar (Calendar_Date DATETIME2, Day_Number INTEGER) CREATE TABLE Ref_Locations (Location_Code CHAR, Location_Name VARCHAR, Location_Description VARCHAR) CREATE TABLE Documents_to_be_Destroyed (Document_ID INTEGER, Destruction_Authorised_by_Employee_ID INTEGER, Destroyed_by_Employee_ID INTEGER, Planned_Destruction_Date DATETIME2, Actual_Destruction_Date DATETIME2, Other_Details VARCHAR) CREATE TABLE Employees (Employee_ID INTEGER, Role_Code CHAR, Employee_Name VARCHAR, Gender_MFU CHAR, Date_of_Birth DATETIME2, Other_Details VARCHAR) CREATE TABLE All_Documents (Document_ID INTEGER, Date_Stored DATETIME2, Document_Type_Code CHAR, Document_Name CHAR, Document_Description CHAR, Other_Details VARCHAR) CREATE TABLE Roles (Role_Code CHAR, Role_Name VARCHAR, Role_Description VARCHAR) CREATE TABLE Document_Locations (Document_ID INTEGER, Location_Code CHAR, Date_in_Location_From DATETIME2, Date_in_Locaton_To DATETIME2) CREATE TABLE Ref_Document_Types (Document_Type_Code CHAR, Document_Type_Name VARCHAR, Document_Type_Description VARCHAR)

Plot calendar date by how many calendar date as a line chart

SELECT Calendar_Date, COUNT(Calendar_Date) FROM Ref_Calendar

SELECT [Calendar_Date], COUNT([Calendar_Date]) FROM [Ref_Calendar]

CREATE TABLE table_2818164_4 (original_air_date VARCHAR, production_code VARCHAR)

What was the air date of the episode with the production code of 322?

SELECT original_air_date FROM table_2818164_4 WHERE production_code = 322

SELECT [original_air_date] FROM [table_2818164_4] WHERE [production_code] = 322

CREATE TABLE table_23607 ([Institution] VARCHAR(MAX), [Team Name] VARCHAR(MAX), [Location ( Population ) ] VARCHAR(MAX), [Team Started] FLOAT, [Affiliation] VARCHAR(MAX), [Enrollment] FLOAT, [Mascot] VARCHAR(MAX), [Divisional Titles] FLOAT, [Big 12 Titles] FLOAT, [National Titles] FLOAT)

What is the minimum enrollment of the cyclones?

SELECT MIN("Enrollment") FROM table_23607 WHERE "Team Name" = 'Cyclones'

SELECT MIN([Enrollment]) FROM [table_23607] WHERE [Team Name] = 'Cyclones'

CREATE TABLE lab (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), itemid VARCHAR(MAX), charttime VARCHAR(MAX), flag VARCHAR(MAX), value_unit VARCHAR(MAX), label VARCHAR(MAX), fluid VARCHAR(MAX)) CREATE TABLE procedures (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE diagnoses (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE demographic (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), name VARCHAR(MAX), marital_status VARCHAR(MAX), age VARCHAR(MAX), dob VARCHAR(MAX), gender VARCHAR(MAX), language VARCHAR(MAX), religion VARCHAR(MAX), admission_type VARCHAR(MAX), days_stay VARCHAR(MAX), insurance VARCHAR(MAX), ethnicity VARCHAR(MAX), expire_flag VARCHAR(MAX), admission_location VARCHAR(MAX), discharge_location VARCHAR(MAX), diagnosis VARCHAR(MAX), dod VARCHAR(MAX), dob_year VARCHAR(MAX), dod_year VARCHAR(MAX), admittime VARCHAR(MAX), dischtime VARCHAR(MAX), admityear VARCHAR(MAX)) CREATE TABLE prescriptions (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icustay_id VARCHAR(MAX), drug_type VARCHAR(MAX), drug VARCHAR(MAX), formulary_drug_cd VARCHAR(MAX), route VARCHAR(MAX), drug_dose VARCHAR(MAX))

How many patients below 67 years of age have stayed in the hospital for more than 34 days?

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.age < "67" AND demographic.days_stay > "34"

SELECT COUNT(DISTINCT [demographic].[subject_id]) FROM [demographic] WHERE [34] < [demographic].[days_stay] AND [67] > [demographic].[age]

CREATE TABLE table_name_55 (total INTEGER, nation VARCHAR, silver VARCHAR)

Which Total has a Nation of japan, and a Silver larger than 2?

SELECT MIN(total) FROM table_name_55 WHERE nation = "japan" AND silver > 2

SELECT MIN([total]) FROM [table_name_55] WHERE [japan] = [nation] AND [silver] > 2

CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR) CREATE TABLE time_zone (time_zone_code VARCHAR(MAX), time_zone_name VARCHAR(MAX), hours_from_gmt INTEGER) CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR) CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR) CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INTEGER, high_flight_number INTEGER, dual_airline VARCHAR, service_name VARCHAR(MAX)) CREATE TABLE fare (fare_id INTEGER, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code VARCHAR(MAX), fare_airline VARCHAR(MAX), restriction_code VARCHAR(MAX), one_direction_cost INTEGER, round_trip_cost INTEGER, round_trip_required VARCHAR) CREATE TABLE date_day (month_number INTEGER, day_number INTEGER, year INTEGER, day_name VARCHAR) CREATE TABLE code_description (code VARCHAR, description VARCHAR(MAX)) CREATE TABLE class_of_service (booking_class VARCHAR, rank INTEGER, class_description VARCHAR(MAX)) CREATE TABLE airport (airport_code VARCHAR, airport_name VARCHAR(MAX), airport_location VARCHAR(MAX), state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INTEGER) CREATE TABLE flight_fare (flight_id INTEGER, fare_id INTEGER) CREATE TABLE fare_basis (fare_basis_code VARCHAR(MAX), booking_class VARCHAR(MAX), class_type VARCHAR(MAX), premium VARCHAR(MAX), economy VARCHAR(MAX), discounted VARCHAR(MAX), night VARCHAR(MAX), season VARCHAR(MAX), basis_days VARCHAR(MAX)) CREATE TABLE time_interval (period VARCHAR(MAX), begin_time INTEGER, end_time INTEGER) CREATE TABLE restriction (restriction_code VARCHAR(MAX), advance_purchase INTEGER, stopovers VARCHAR(MAX), saturday_stay_required VARCHAR(MAX), minimum_stay INTEGER, maximum_stay INTEGER, application VARCHAR(MAX), no_discounts VARCHAR(MAX)) CREATE TABLE ground_service (city_code VARCHAR(MAX), airport_code VARCHAR(MAX), transport_type VARCHAR(MAX), ground_fare INTEGER) CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INTEGER, direction VARCHAR, minutes_distant INTEGER) CREATE TABLE flight_leg (flight_id INTEGER, leg_number INTEGER, leg_flight INTEGER) CREATE TABLE days (days_code VARCHAR, day_name VARCHAR) CREATE TABLE food_service (meal_code VARCHAR(MAX), meal_number INTEGER, compartment VARCHAR(MAX), meal_description VARCHAR) CREATE TABLE airline (airline_code VARCHAR, airline_name VARCHAR(MAX), note VARCHAR(MAX)) CREATE TABLE flight_stop (flight_id INTEGER, stop_number INTEGER, stop_days VARCHAR(MAX), stop_airport VARCHAR(MAX), arrival_time INTEGER, arrival_airline VARCHAR(MAX), arrival_flight_number INTEGER, departure_time INTEGER, departure_airline VARCHAR(MAX), departure_flight_number INTEGER, stop_time INTEGER) CREATE TABLE month (month_number INTEGER, month_name VARCHAR(MAX)) CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INTEGER, propulsion VARCHAR, wide_body VARCHAR, wing_span INTEGER, length INTEGER, weight INTEGER, capacity INTEGER, pay_load INTEGER, cruising_speed INTEGER, range_miles INTEGER, pressurized VARCHAR) CREATE TABLE flight (aircraft_code_sequence VARCHAR(MAX), airline_code VARCHAR, airline_flight VARCHAR(MAX), arrival_time INTEGER, connections INTEGER, departure_time INTEGER, dual_carrier VARCHAR(MAX), flight_days VARCHAR(MAX), flight_id INTEGER, flight_number INTEGER, from_airport VARCHAR, meal_code VARCHAR(MAX), stops INTEGER, time_elapsed INTEGER, to_airport VARCHAR) CREATE TABLE state (state_code VARCHAR(MAX), state_name VARCHAR(MAX), country_name VARCHAR(MAX))

please give me all flights from DALLAS to OAKLAND before 1200

SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'OAKLAND' AND flight.departure_time < 1200 AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DALLAS' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code

SELECT DISTINCT [flight].[flight_id] FROM [airport_service] AS [AIRPORT_SERVICE_0] JOIN [city] AS [CITY_0] ON [AIRPORT_SERVICE_0].[city_code] = [CITY_0].[city_code] AND [CITY_0].[city_name] = 'DALLAS' JOIN [flight] ON [AIRPORT_SERVICE_0].[airport_code] = [flight].[from_airport] AND [flight].[departure_time] < 1200 JOIN [airport_service] AS [AIRPORT_SERVICE_1] ON [AIRPORT_SERVICE_1].[airport_code] = [flight].[to_airport] JOIN [city] AS [CITY_1] ON [AIRPORT_SERVICE_1].[city_code] = [CITY_1].[city_code] AND [CITY_1].[city_name] = 'OAKLAND'

CREATE TABLE table_36701 ([Conference] VARCHAR(MAX), [Division] VARCHAR(MAX), [Team] VARCHAR(MAX), [City] VARCHAR(MAX), [Home Stadium] VARCHAR(MAX))

What is the name of the Home Stadium in which the Division is in the south, and Conference is national, as well as being in the city named charlotte, North Carolina?

SELECT "Home Stadium" FROM table_36701 WHERE "Division" = 'south' AND "Conference" = 'national' AND "City" = 'charlotte, north carolina'

SELECT [Home Stadium] FROM [table_36701] WHERE [City] = 'charlotte, north carolina' AND [Conference] = 'national' AND [Division] = 'south'

CREATE TABLE code_description (code VARCHAR, description VARCHAR(MAX)) CREATE TABLE restriction (restriction_code VARCHAR(MAX), advance_purchase INTEGER, stopovers VARCHAR(MAX), saturday_stay_required VARCHAR(MAX), minimum_stay INTEGER, maximum_stay INTEGER, application VARCHAR(MAX), no_discounts VARCHAR(MAX)) CREATE TABLE time_interval (period VARCHAR(MAX), begin_time INTEGER, end_time INTEGER) CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INTEGER, high_flight_number INTEGER, dual_airline VARCHAR, service_name VARCHAR(MAX)) CREATE TABLE airline (airline_code VARCHAR, airline_name VARCHAR(MAX), note VARCHAR(MAX)) CREATE TABLE airport (airport_code VARCHAR, airport_name VARCHAR(MAX), airport_location VARCHAR(MAX), state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INTEGER) CREATE TABLE flight_fare (flight_id INTEGER, fare_id INTEGER) CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INTEGER, direction VARCHAR, minutes_distant INTEGER) CREATE TABLE time_zone (time_zone_code VARCHAR(MAX), time_zone_name VARCHAR(MAX), hours_from_gmt INTEGER) CREATE TABLE food_service (meal_code VARCHAR(MAX), meal_number INTEGER, compartment VARCHAR(MAX), meal_description VARCHAR) CREATE TABLE date_day (month_number INTEGER, day_number INTEGER, year INTEGER, day_name VARCHAR) CREATE TABLE fare (fare_id INTEGER, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code VARCHAR(MAX), fare_airline VARCHAR(MAX), restriction_code VARCHAR(MAX), one_direction_cost INTEGER, round_trip_cost INTEGER, round_trip_required VARCHAR) CREATE TABLE state (state_code VARCHAR(MAX), state_name VARCHAR(MAX), country_name VARCHAR(MAX)) CREATE TABLE flight (aircraft_code_sequence VARCHAR(MAX), airline_code VARCHAR, airline_flight VARCHAR(MAX), arrival_time INTEGER, connections INTEGER, departure_time INTEGER, dual_carrier VARCHAR(MAX), flight_days VARCHAR(MAX), flight_id INTEGER, flight_number INTEGER, from_airport VARCHAR, meal_code VARCHAR(MAX), stops INTEGER, time_elapsed INTEGER, to_airport VARCHAR) CREATE TABLE ground_service (city_code VARCHAR(MAX), airport_code VARCHAR(MAX), transport_type VARCHAR(MAX), ground_fare INTEGER) CREATE TABLE days (days_code VARCHAR, day_name VARCHAR) CREATE TABLE flight_leg (flight_id INTEGER, leg_number INTEGER, leg_flight INTEGER) CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INTEGER, propulsion VARCHAR, wide_body VARCHAR, wing_span INTEGER, length INTEGER, weight INTEGER, capacity INTEGER, pay_load INTEGER, cruising_speed INTEGER, range_miles INTEGER, pressurized VARCHAR) CREATE TABLE fare_basis (fare_basis_code VARCHAR(MAX), booking_class VARCHAR(MAX), class_type VARCHAR(MAX), premium VARCHAR(MAX), economy VARCHAR(MAX), discounted VARCHAR(MAX), night VARCHAR(MAX), season VARCHAR(MAX), basis_days VARCHAR(MAX)) CREATE TABLE month (month_number INTEGER, month_name VARCHAR(MAX)) CREATE TABLE class_of_service (booking_class VARCHAR, rank INTEGER, class_description VARCHAR(MAX)) CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR) CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR) CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR) CREATE TABLE flight_stop (flight_id INTEGER, stop_number INTEGER, stop_days VARCHAR(MAX), stop_airport VARCHAR(MAX), arrival_time INTEGER, arrival_airline VARCHAR(MAX), arrival_flight_number INTEGER, departure_time INTEGER, departure_airline VARCHAR(MAX), departure_flight_number INTEGER, stop_time INTEGER)

what are the flights from BOSTON to PHILADELPHIA

SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'PHILADELPHIA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code

SELECT DISTINCT [flight].[flight_id] FROM [airport_service] AS [AIRPORT_SERVICE_0] JOIN [city] AS [CITY_0] ON [AIRPORT_SERVICE_0].[city_code] = [CITY_0].[city_code] AND [CITY_0].[city_name] = 'BOSTON' JOIN [flight] ON [AIRPORT_SERVICE_0].[airport_code] = [flight].[from_airport] JOIN [airport_service] AS [AIRPORT_SERVICE_1] ON [AIRPORT_SERVICE_1].[airport_code] = [flight].[to_airport] JOIN [city] AS [CITY_1] ON [AIRPORT_SERVICE_1].[city_code] = [CITY_1].[city_code] AND [CITY_1].[city_name] = 'PHILADELPHIA'

CREATE TABLE table_name_39 (lost VARCHAR, points VARCHAR, drawn VARCHAR)

Which Lost has Points smaller than 12, and a Drawn larger than 1?

SELECT COUNT(lost) FROM table_name_39 WHERE points < 12 AND drawn > 1

SELECT COUNT([lost]) FROM [table_name_39] WHERE [drawn] > 1 AND [points] < 12

CREATE TABLE procedures (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE diagnoses (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE lab (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), itemid VARCHAR(MAX), charttime VARCHAR(MAX), flag VARCHAR(MAX), value_unit VARCHAR(MAX), label VARCHAR(MAX), fluid VARCHAR(MAX)) CREATE TABLE prescriptions (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icustay_id VARCHAR(MAX), drug_type VARCHAR(MAX), drug VARCHAR(MAX), formulary_drug_cd VARCHAR(MAX), route VARCHAR(MAX), drug_dose VARCHAR(MAX)) CREATE TABLE demographic (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), name VARCHAR(MAX), marital_status VARCHAR(MAX), age VARCHAR(MAX), dob VARCHAR(MAX), gender VARCHAR(MAX), language VARCHAR(MAX), religion VARCHAR(MAX), admission_type VARCHAR(MAX), days_stay VARCHAR(MAX), insurance VARCHAR(MAX), ethnicity VARCHAR(MAX), expire_flag VARCHAR(MAX), admission_location VARCHAR(MAX), discharge_location VARCHAR(MAX), diagnosis VARCHAR(MAX), dod VARCHAR(MAX), dob_year VARCHAR(MAX), dod_year VARCHAR(MAX), admittime VARCHAR(MAX), dischtime VARCHAR(MAX), admityear VARCHAR(MAX))

find the number of patients younger than 31 years who had hematology lab test.

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "31" AND lab."CATEGORY" = "Hematology"

SELECT COUNT(DISTINCT [demographic].[subject_id]) FROM [demographic] JOIN [lab] ON [Hematology] = [lab].[category] AND [demographic].[hadm_id] = [lab].[hadm_id] WHERE [31] > [demographic].[age]

CREATE TABLE table_203_469 (id NUMERIC, [year] VARCHAR(MAX), [round] VARCHAR(MAX), [position] NUMERIC, [matches] NUMERIC, [wins] NUMERIC, [draws] NUMERIC, [losses] NUMERIC, [gf] NUMERIC, [ga] NUMERIC)

how many total goals have been scored against croatia in the world cup ?

SELECT SUM("ga") FROM table_203_469

SELECT SUM([ga]) FROM [table_203_469]

CREATE TABLE lab (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), itemid VARCHAR(MAX), charttime VARCHAR(MAX), flag VARCHAR(MAX), value_unit VARCHAR(MAX), label VARCHAR(MAX), fluid VARCHAR(MAX)) CREATE TABLE diagnoses (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE demographic (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), name VARCHAR(MAX), marital_status VARCHAR(MAX), age VARCHAR(MAX), dob VARCHAR(MAX), gender VARCHAR(MAX), language VARCHAR(MAX), religion VARCHAR(MAX), admission_type VARCHAR(MAX), days_stay VARCHAR(MAX), insurance VARCHAR(MAX), ethnicity VARCHAR(MAX), expire_flag VARCHAR(MAX), admission_location VARCHAR(MAX), discharge_location VARCHAR(MAX), diagnosis VARCHAR(MAX), dod VARCHAR(MAX), dob_year VARCHAR(MAX), dod_year VARCHAR(MAX), admittime VARCHAR(MAX), dischtime VARCHAR(MAX), admityear VARCHAR(MAX)) CREATE TABLE procedures (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE prescriptions (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icustay_id VARCHAR(MAX), drug_type VARCHAR(MAX), drug VARCHAR(MAX), formulary_drug_cd VARCHAR(MAX), route VARCHAR(MAX), drug_dose VARCHAR(MAX))

for how many days did steven sepulveda stay in the hospital.

SELECT demographic.days_stay FROM demographic WHERE demographic.name = "Steven Sepulveda"

SELECT [demographic].[days_stay] FROM [demographic] WHERE [Steven Sepulveda] = [demographic].[name]

CREATE TABLE lab (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), itemid VARCHAR(MAX), charttime VARCHAR(MAX), flag VARCHAR(MAX), value_unit VARCHAR(MAX), label VARCHAR(MAX), fluid VARCHAR(MAX)) CREATE TABLE diagnoses (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE prescriptions (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icustay_id VARCHAR(MAX), drug_type VARCHAR(MAX), drug VARCHAR(MAX), formulary_drug_cd VARCHAR(MAX), route VARCHAR(MAX), drug_dose VARCHAR(MAX)) CREATE TABLE demographic (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), name VARCHAR(MAX), marital_status VARCHAR(MAX), age VARCHAR(MAX), dob VARCHAR(MAX), gender VARCHAR(MAX), language VARCHAR(MAX), religion VARCHAR(MAX), admission_type VARCHAR(MAX), days_stay VARCHAR(MAX), insurance VARCHAR(MAX), ethnicity VARCHAR(MAX), expire_flag VARCHAR(MAX), admission_location VARCHAR(MAX), discharge_location VARCHAR(MAX), diagnosis VARCHAR(MAX), dod VARCHAR(MAX), dob_year VARCHAR(MAX), dod_year VARCHAR(MAX), admittime VARCHAR(MAX), dischtime VARCHAR(MAX), admityear VARCHAR(MAX)) CREATE TABLE procedures (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX))

provide the number of patients whose age is less than 76 and days of hospital stay is greater than 27?

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.age < "76" AND demographic.days_stay > "27"

SELECT COUNT(DISTINCT [demographic].[subject_id]) FROM [demographic] WHERE [27] < [demographic].[days_stay] AND [76] > [demographic].[age]

CREATE TABLE table_51578 ([Club] VARCHAR(MAX), [Leagues] VARCHAR(MAX), [Venue] VARCHAR(MAX), [Location] VARCHAR(MAX), [Capacity] FLOAT, [Established] FLOAT)

What is the capacity at the nop aquatic centre, established after 1929?

SELECT COUNT("Capacity") FROM table_51578 WHERE "Venue" = 'nop aquatic centre' AND "Established" > '1929'

SELECT COUNT([Capacity]) FROM [table_51578] WHERE [Established] > '1929' AND [Venue] = 'nop aquatic centre'

CREATE TABLE table_32936 ([Home team] VARCHAR(MAX), [Home team score] VARCHAR(MAX), [Away team] VARCHAR(MAX), [Away team score] VARCHAR(MAX), [Venue] VARCHAR(MAX), [Crowd] FLOAT, [Date] VARCHAR(MAX))

Which venue hosted South Melbourne?

SELECT "Venue" FROM table_32936 WHERE "Away team" = 'south melbourne'

SELECT [Venue] FROM [table_32936] WHERE [Away team] = 'south melbourne'

CREATE TABLE table_name_71 (channel VARCHAR, play_by_play VARCHAR)

Which channel has Joel Meyers as the Play by play commentator?

SELECT channel FROM table_name_71 WHERE play_by_play = "joel meyers"

SELECT [channel] FROM [table_name_71] WHERE [joel meyers] = [play_by_play]

CREATE TABLE table_57242 ([Round] FLOAT, [Grand Prix] VARCHAR(MAX), [Pole Position] VARCHAR(MAX), [Fastest Lap] VARCHAR(MAX), [Winning Driver] VARCHAR(MAX), [Winning Constructor] VARCHAR(MAX), [Report] VARCHAR(MAX))

What is the grand prix with Gerhard Berger as the fastest lap and Michael Schumacher as the pole position?

SELECT "Grand Prix" FROM table_57242 WHERE "Fastest Lap" = 'gerhard berger' AND "Pole Position" = 'michael schumacher'

SELECT [Grand Prix] FROM [table_57242] WHERE [Fastest Lap] = 'gerhard berger' AND [Pole Position] = 'michael schumacher'

CREATE TABLE table_49143 ([Res.] VARCHAR(MAX), [Record] VARCHAR(MAX), [Opponent] VARCHAR(MAX), [Method] VARCHAR(MAX), [Event] VARCHAR(MAX), [Round] FLOAT, [Time] VARCHAR(MAX), [Location] VARCHAR(MAX))

The tko (doctor stoppage) method was used in a loss against which opponent?

SELECT "Opponent" FROM table_49143 WHERE "Method" = 'tko (doctor stoppage)' AND "Res." = 'loss'

SELECT [Opponent] FROM [table_49143] WHERE [Method] = 'tko (doctor stoppage)' AND [Res.] = 'loss'

CREATE TABLE League (name VARCHAR, country_id VARCHAR) CREATE TABLE Country (name VARCHAR, id VARCHAR)

List all country and league names.

SELECT T1.name, T2.name FROM Country AS T1 JOIN League AS T2 ON T1.id = T2.country_id

SELECT [T1].[name], [T2].[name] FROM [Country] AS [T1] JOIN [League] AS [T2] ON [T1].[id] = [T2].[country_id]

CREATE TABLE diagnoses (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE procedures (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE demographic (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), name VARCHAR(MAX), marital_status VARCHAR(MAX), age VARCHAR(MAX), dob VARCHAR(MAX), gender VARCHAR(MAX), language VARCHAR(MAX), religion VARCHAR(MAX), admission_type VARCHAR(MAX), days_stay VARCHAR(MAX), insurance VARCHAR(MAX), ethnicity VARCHAR(MAX), expire_flag VARCHAR(MAX), admission_location VARCHAR(MAX), discharge_location VARCHAR(MAX), diagnosis VARCHAR(MAX), dod VARCHAR(MAX), dob_year VARCHAR(MAX), dod_year VARCHAR(MAX), admittime VARCHAR(MAX), dischtime VARCHAR(MAX), admityear VARCHAR(MAX)) CREATE TABLE lab (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), itemid VARCHAR(MAX), charttime VARCHAR(MAX), flag VARCHAR(MAX), value_unit VARCHAR(MAX), label VARCHAR(MAX), fluid VARCHAR(MAX)) CREATE TABLE prescriptions (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icustay_id VARCHAR(MAX), drug_type VARCHAR(MAX), drug VARCHAR(MAX), formulary_drug_cd VARCHAR(MAX), route VARCHAR(MAX), drug_dose VARCHAR(MAX))

what is the number of patients whose year of birth is less than 2064 and procedure icd9 code is 3142?

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dob_year < "2064" AND procedures.icd9_code = "3142"

SELECT COUNT(DISTINCT [demographic].[subject_id]) FROM [demographic] JOIN [procedures] ON [3142] = [procedures].[icd9_code] AND [demographic].[hadm_id] = [procedures].[hadm_id] WHERE [2064] > [demographic].[dob_year]

CREATE TABLE table_name_4 (week VARCHAR, result VARCHAR)

Which Week has a Result of l 21-19?

SELECT COUNT(week) FROM table_name_4 WHERE result = "l 21-19"

SELECT COUNT([week]) FROM [table_name_4] WHERE [l 21-19] = [result]

CREATE TABLE basketball_match (Team_ID INTEGER, School_ID INTEGER, Team_Name VARCHAR(MAX), ACC_Regular_Season VARCHAR(MAX), ACC_Percent VARCHAR(MAX), ACC_Home VARCHAR(MAX), ACC_Road VARCHAR(MAX), All_Games VARCHAR(MAX), All_Games_Percent INTEGER, All_Home VARCHAR(MAX), All_Road VARCHAR(MAX), All_Neutral VARCHAR(MAX)) CREATE TABLE university (School_ID INTEGER, School VARCHAR(MAX), Location VARCHAR(MAX), Founded FLOAT, Affiliation VARCHAR(MAX), Enrollment FLOAT, Nickname VARCHAR(MAX), Primary_conference VARCHAR(MAX))

Return a bar chart about the distribution of Team_Name and All_Games_Percent , and sort Y in desc order.

SELECT Team_Name, All_Games_Percent FROM basketball_match ORDER BY All_Games_Percent DESC

SELECT [Team_Name], [All_Games_Percent] FROM [basketball_match] ORDER BY [All_Games_Percent] DESC

CREATE TABLE table_10121127_1 (dates_of_australian_involvement VARCHAR, number_of_australians_involved VARCHAR)

When was it where 65 Australians were involved in the UN?

SELECT dates_of_australian_involvement FROM table_10121127_1 WHERE number_of_australians_involved = "65"

SELECT [dates_of_australian_involvement] FROM [table_10121127_1] WHERE [65] = [number_of_australians_involved]

CREATE TABLE table_203_621 (id NUMERIC, [player] VARCHAR(MAX), [games played] NUMERIC, [minutes played] NUMERIC, [minutes played per game] NUMERIC, [rebounds] NUMERIC, [rebounds per game] NUMERIC, [assists] NUMERIC, [assists per game] NUMERIC, [field goal %] NUMERIC, [free throw %] NUMERIC, [3-point %] NUMERIC, [points] NUMERIC, [points per game] NUMERIC)

how many more games did allan houston play than mark jackson ?

SELECT (SELECT "games played" FROM table_203_621 WHERE "player" = 'allan houston') - (SELECT "games played" FROM table_203_621 WHERE "player" = 'mark jackson')

SELECT (SELECT [games played] FROM [table_203_621] WHERE [player] = 'allan houston') - (SELECT [games played] FROM [table_203_621] WHERE [player] = 'mark jackson')

CREATE TABLE table_27087 ([Rank] VARCHAR(MAX), [Player] VARCHAR(MAX), [Nationality] VARCHAR(MAX), [Team] VARCHAR(MAX), [Opponent] VARCHAR(MAX), [Score] VARCHAR(MAX), [Competition] VARCHAR(MAX), [Vote percentage] VARCHAR(MAX))

What's the name of the competition where the nationality is Brazil and the voting percentage is n/a?

SELECT "Competition" FROM table_27087 WHERE "Vote percentage" = 'N/A' AND "Nationality" = 'Brazil'

SELECT [Competition] FROM [table_27087] WHERE [Nationality] = 'Brazil' AND [Vote percentage] = 'N/A'

CREATE TABLE course (course_id INTEGER, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INTEGER, num_enrolled INTEGER, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INTEGER, clarity_score INTEGER, easiness_score INTEGER, helpfulness_score INTEGER) CREATE TABLE course_offering (offering_id INTEGER, course_id INTEGER, semester INTEGER, section_number INTEGER, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR) CREATE TABLE program (program_id INTEGER, name VARCHAR, college VARCHAR, introduction VARCHAR) CREATE TABLE student_record (student_id INTEGER, course_id INTEGER, semester INTEGER, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR) CREATE TABLE program_requirement (program_id INTEGER, category VARCHAR, min_credit INTEGER, additional_req VARCHAR) CREATE TABLE jobs (job_id INTEGER, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INTEGER) CREATE TABLE gsi (course_offering_id INTEGER, student_id INTEGER) CREATE TABLE course_prerequisite (pre_course_id INTEGER, course_id INTEGER) CREATE TABLE offering_instructor (offering_instructor_id INTEGER, offering_id INTEGER, instructor_id INTEGER) CREATE TABLE program_course (program_id INTEGER, course_id INTEGER, workload INTEGER, category VARCHAR) CREATE TABLE semester (semester_id INTEGER, semester VARCHAR, year INTEGER) CREATE TABLE course_tags_count (course_id INTEGER, clear_grading INTEGER, pop_quiz INTEGER, group_projects INTEGER, inspirational INTEGER, long_lectures INTEGER, extra_credit INTEGER, few_tests INTEGER, good_feedback INTEGER, tough_tests INTEGER, heavy_papers INTEGER, cares_for_students INTEGER, heavy_assignments INTEGER, respected INTEGER, participation INTEGER, heavy_reading INTEGER, tough_grader INTEGER, hilarious INTEGER, would_take_again INTEGER, good_lecture INTEGER, no_skip INTEGER) CREATE TABLE requirement (requirement_id INTEGER, requirement VARCHAR, college VARCHAR) CREATE TABLE area (course_id INTEGER, area VARCHAR) CREATE TABLE comment_instructor (instructor_id INTEGER, student_id INTEGER, score INTEGER, comment_text VARCHAR) CREATE TABLE ta (campus_job_id INTEGER, student_id INTEGER, location VARCHAR) CREATE TABLE student (student_id INTEGER, lastname VARCHAR, firstname VARCHAR, program_id INTEGER, declare_major VARCHAR, total_credit INTEGER, total_gpa FLOAT, entered_as VARCHAR, admit_term INTEGER, predicted_graduation_semester INTEGER, degree VARCHAR, minor VARCHAR, internship VARCHAR) CREATE TABLE instructor (instructor_id INTEGER, name VARCHAR, uniqname VARCHAR)

Any morning classes for ARMENIAN 171 ?

SELECT COUNT(*) > 0 FROM course, course_offering, semester WHERE course_offering.start_time < '12:00:00' AND course_offering.start_time >= '08:00:00' AND course.course_id = course_offering.course_id AND course.department = 'ARMENIAN' AND course.number = 171 AND semester.semester = 'WN' AND semester.semester_id = course_offering.semester AND semester.year = 2016

SELECT COUNT(*) > 0 FROM [course] JOIN [course_offering] ON [course].[course_id] = [course_offering].[course_id] AND [course_offering].[start_time] < '12:00:00' AND [course_offering].[start_time] >= '08:00:00' JOIN [semester] ON [course_offering].[semester] = [semester].[semester_id] AND [semester].[semester] = 'WN' AND [semester].[year] = 2016 WHERE [course].[department] = 'ARMENIAN' AND [course].[number] = 171

CREATE TABLE table_54738 ([Date] FLOAT, [Country] VARCHAR(MAX), [Place] VARCHAR(MAX), [Building] VARCHAR(MAX), [Size] VARCHAR(MAX))

Name the size which is past 2000

SELECT "Size" FROM table_54738 WHERE "Date" > '2000'

SELECT [Size] FROM [table_54738] WHERE [Date] > '2000'

CREATE TABLE table_name_80 (year INTEGER, competition VARCHAR, venue VARCHAR)

Which Year has a Competition of european indoor championships, and a Venue of budapest , hungary?

SELECT SUM(year) FROM table_name_80 WHERE competition = "european indoor championships" AND venue = "budapest , hungary"

SELECT SUM([year]) FROM [table_name_80] WHERE [budapest , hungary] = [venue] AND [competition] = [european indoor championships]

CREATE TABLE Sportsinfo (sportname VARCHAR)

How many sports do we have?

SELECT COUNT(DISTINCT sportname) FROM Sportsinfo

SELECT COUNT(DISTINCT [sportname]) FROM [Sportsinfo]

CREATE TABLE table_name_37 (ground VARCHAR, figures VARCHAR)

At which ground did Dirk Nannes have a figure of 4/23?

SELECT ground FROM table_name_37 WHERE figures = "4/23"

SELECT [ground] FROM [table_name_37] WHERE [4/23] = [figures]

CREATE TABLE table_63105 ([Rank] FLOAT, [Lane] FLOAT, [Name] VARCHAR(MAX), [Nationality] VARCHAR(MAX), [Time] FLOAT)

Which Time has a Lane smaller than 4, and a Rank larger than 6?

SELECT AVG("Time") FROM table_63105 WHERE "Lane" < '4' AND "Rank" > '6'

SELECT AVG([Time]) FROM [table_63105] WHERE [Lane] < '4' AND [Rank] > '6'

CREATE TABLE table_name_82 (record VARCHAR, visitor VARCHAR)

What is the record when the visitor was Nashville?

SELECT record FROM table_name_82 WHERE visitor = "nashville"

SELECT [record] FROM [table_name_82] WHERE [nashville] = [visitor]

CREATE TABLE diagnoses (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE lab (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), itemid VARCHAR(MAX), charttime VARCHAR(MAX), flag VARCHAR(MAX), value_unit VARCHAR(MAX), label VARCHAR(MAX), fluid VARCHAR(MAX)) CREATE TABLE demographic (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), name VARCHAR(MAX), marital_status VARCHAR(MAX), age VARCHAR(MAX), dob VARCHAR(MAX), gender VARCHAR(MAX), language VARCHAR(MAX), religion VARCHAR(MAX), admission_type VARCHAR(MAX), days_stay VARCHAR(MAX), insurance VARCHAR(MAX), ethnicity VARCHAR(MAX), expire_flag VARCHAR(MAX), admission_location VARCHAR(MAX), discharge_location VARCHAR(MAX), diagnosis VARCHAR(MAX), dod VARCHAR(MAX), dob_year VARCHAR(MAX), dod_year VARCHAR(MAX), admittime VARCHAR(MAX), dischtime VARCHAR(MAX), admityear VARCHAR(MAX)) CREATE TABLE procedures (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE prescriptions (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icustay_id VARCHAR(MAX), drug_type VARCHAR(MAX), drug VARCHAR(MAX), formulary_drug_cd VARCHAR(MAX), route VARCHAR(MAX), drug_dose VARCHAR(MAX))

provide the number of patients with elective admission type who had procedure under icd9 code 4632.

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND procedures.icd9_code = "4632"

SELECT COUNT(DISTINCT [demographic].[subject_id]) FROM [demographic] JOIN [procedures] ON [4632] = [procedures].[icd9_code] AND [demographic].[hadm_id] = [procedures].[hadm_id] WHERE [ELECTIVE] = [demographic].[admission_type]

CREATE TABLE table_59786 ([Parish ( Prestegjeld ) ] VARCHAR(MAX), [Sub-Parish ( Sogn ) ] VARCHAR(MAX), [Church Name] VARCHAR(MAX), [Year Built] FLOAT, [Location of the Church] VARCHAR(MAX))

Which Sub-Parish (Sogn) was built after 1894 in the Parish (Prestegjeld) of jostedal parish?

SELECT "Sub-Parish (Sogn)" FROM table_59786 WHERE "Year Built" > '1894' AND "Parish (Prestegjeld)" = 'jostedal parish'

SELECT [Sub-Parish (Sogn)] FROM [table_59786] WHERE [Parish (Prestegjeld)] = 'jostedal parish' AND [Year Built] > '1894'

CREATE TABLE instructor (instructor_id INTEGER, name VARCHAR, uniqname VARCHAR) CREATE TABLE course_tags_count (course_id INTEGER, clear_grading INTEGER, pop_quiz INTEGER, group_projects INTEGER, inspirational INTEGER, long_lectures INTEGER, extra_credit INTEGER, few_tests INTEGER, good_feedback INTEGER, tough_tests INTEGER, heavy_papers INTEGER, cares_for_students INTEGER, heavy_assignments INTEGER, respected INTEGER, participation INTEGER, heavy_reading INTEGER, tough_grader INTEGER, hilarious INTEGER, would_take_again INTEGER, good_lecture INTEGER, no_skip INTEGER) CREATE TABLE program_course (program_id INTEGER, course_id INTEGER, workload INTEGER, category VARCHAR) CREATE TABLE program_requirement (program_id INTEGER, category VARCHAR, min_credit INTEGER, additional_req VARCHAR) CREATE TABLE student (student_id INTEGER, lastname VARCHAR, firstname VARCHAR, program_id INTEGER, declare_major VARCHAR, total_credit INTEGER, total_gpa FLOAT, entered_as VARCHAR, admit_term INTEGER, predicted_graduation_semester INTEGER, degree VARCHAR, minor VARCHAR, internship VARCHAR) CREATE TABLE gsi (course_offering_id INTEGER, student_id INTEGER) CREATE TABLE ta (campus_job_id INTEGER, student_id INTEGER, location VARCHAR) CREATE TABLE course (course_id INTEGER, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INTEGER, num_enrolled INTEGER, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INTEGER, clarity_score INTEGER, easiness_score INTEGER, helpfulness_score INTEGER) CREATE TABLE jobs (job_id INTEGER, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INTEGER) CREATE TABLE requirement (requirement_id INTEGER, requirement VARCHAR, college VARCHAR) CREATE TABLE program (program_id INTEGER, name VARCHAR, college VARCHAR, introduction VARCHAR) CREATE TABLE semester (semester_id INTEGER, semester VARCHAR, year INTEGER) CREATE TABLE course_prerequisite (pre_course_id INTEGER, course_id INTEGER) CREATE TABLE comment_instructor (instructor_id INTEGER, student_id INTEGER, score INTEGER, comment_text VARCHAR) CREATE TABLE student_record (student_id INTEGER, course_id INTEGER, semester INTEGER, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR) CREATE TABLE course_offering (offering_id INTEGER, course_id INTEGER, semester INTEGER, section_number INTEGER, 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 offering_instructor (offering_instructor_id INTEGER, offering_id INTEGER, instructor_id INTEGER) CREATE TABLE area (course_id INTEGER, area VARCHAR)

What classes are necessary to declare a major in MODGREEK ?

SELECT DISTINCT course.department, course.name, course.number FROM course, program_course WHERE course.department LIKE '%MODGREEK%' AND program_course.category LIKE 'PreMajor' AND program_course.course_id = course.course_id

SELECT DISTINCT [course].[department], [course].[name], [course].[number] FROM [course] JOIN [program_course] ON [course].[course_id] = [program_course].[course_id] AND [program_course].[category] LIKE 'PreMajor' WHERE [course].[department] LIKE '%MODGREEK%'

CREATE TABLE college (college_id VARCHAR(MAX), name_full VARCHAR(MAX), city VARCHAR(MAX), state VARCHAR(MAX), country VARCHAR(MAX)) CREATE TABLE manager_half (player_id VARCHAR(MAX), year INTEGER, team_id VARCHAR(MAX), league_id VARCHAR(MAX), inseason INTEGER, half INTEGER, g INTEGER, w INTEGER, l INTEGER, rank INTEGER) CREATE TABLE batting (player_id VARCHAR(MAX), year INTEGER, stint INTEGER, team_id VARCHAR(MAX), league_id VARCHAR(MAX), g INTEGER, ab NUMERIC, r NUMERIC, h NUMERIC, double NUMERIC, triple NUMERIC, hr NUMERIC, rbi NUMERIC, sb NUMERIC, cs NUMERIC, bb NUMERIC, so NUMERIC, ibb NUMERIC, hbp NUMERIC, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) CREATE TABLE batting_postseason (year INTEGER, round VARCHAR(MAX), player_id VARCHAR(MAX), team_id VARCHAR(MAX), league_id VARCHAR(MAX), g INTEGER, ab INTEGER, r INTEGER, h INTEGER, double INTEGER, triple INTEGER, hr INTEGER, rbi INTEGER, sb INTEGER, cs NUMERIC, bb INTEGER, so INTEGER, ibb NUMERIC, hbp NUMERIC, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) CREATE TABLE park (park_id VARCHAR(MAX), park_name VARCHAR(MAX), park_alias VARCHAR(MAX), city VARCHAR(MAX), state VARCHAR(MAX), country VARCHAR(MAX)) CREATE TABLE pitching_postseason (player_id VARCHAR(MAX), year INTEGER, round VARCHAR(MAX), team_id VARCHAR(MAX), league_id VARCHAR(MAX), w INTEGER, l INTEGER, g INTEGER, gs INTEGER, cg INTEGER, sho INTEGER, sv INTEGER, ipouts INTEGER, h INTEGER, er INTEGER, hr INTEGER, bb INTEGER, so INTEGER, baopp VARCHAR(MAX), era NUMERIC, ibb NUMERIC, wp NUMERIC, hbp NUMERIC, bk NUMERIC, bfp NUMERIC, gf INTEGER, r INTEGER, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) CREATE TABLE player_award (player_id VARCHAR(MAX), award_id VARCHAR(MAX), year INTEGER, league_id VARCHAR(MAX), tie VARCHAR(MAX), notes VARCHAR(MAX)) CREATE TABLE team_half (year INTEGER, league_id VARCHAR(MAX), team_id VARCHAR(MAX), half INTEGER, div_id VARCHAR(MAX), div_win VARCHAR(MAX), rank INTEGER, g INTEGER, w INTEGER, l INTEGER) CREATE TABLE manager_award_vote (award_id VARCHAR(MAX), year INTEGER, league_id VARCHAR(MAX), player_id VARCHAR(MAX), points_won INTEGER, points_max INTEGER, votes_first INTEGER) CREATE TABLE team_franchise (franchise_id VARCHAR(MAX), franchise_name VARCHAR(MAX), active VARCHAR(MAX), na_assoc VARCHAR(MAX)) CREATE TABLE fielding (player_id VARCHAR(MAX), year INTEGER, stint INTEGER, team_id VARCHAR(MAX), league_id VARCHAR(MAX), pos VARCHAR(MAX), g INTEGER, gs NUMERIC, inn_outs NUMERIC, po NUMERIC, a NUMERIC, e NUMERIC, dp NUMERIC, pb NUMERIC, wp NUMERIC, sb NUMERIC, cs NUMERIC, zr NUMERIC) CREATE TABLE salary (year INTEGER, team_id VARCHAR(MAX), league_id VARCHAR(MAX), player_id VARCHAR(MAX), salary INTEGER) CREATE TABLE pitching (player_id VARCHAR(MAX), year INTEGER, stint INTEGER, team_id VARCHAR(MAX), league_id VARCHAR(MAX), w INTEGER, l INTEGER, g INTEGER, gs INTEGER, cg INTEGER, sho INTEGER, sv INTEGER, ipouts NUMERIC, h INTEGER, er INTEGER, hr INTEGER, bb INTEGER, so INTEGER, baopp NUMERIC, era NUMERIC, ibb NUMERIC, wp NUMERIC, hbp NUMERIC, bk INTEGER, bfp NUMERIC, gf NUMERIC, r INTEGER, sh NUMERIC, sf NUMERIC, g_idp NUMERIC) CREATE TABLE postseason (year INTEGER, round VARCHAR(MAX), team_id_winner VARCHAR(MAX), league_id_winner VARCHAR(MAX), team_id_loser VARCHAR(MAX), league_id_loser VARCHAR(MAX), wins INTEGER, losses INTEGER, ties INTEGER) CREATE TABLE fielding_outfield (player_id VARCHAR(MAX), year INTEGER, stint INTEGER, glf NUMERIC, gcf NUMERIC, grf NUMERIC) CREATE TABLE appearances (year INTEGER, team_id VARCHAR(MAX), league_id VARCHAR(MAX), player_id VARCHAR(MAX), g_all NUMERIC, gs NUMERIC, g_batting INTEGER, g_defense NUMERIC, g_p INTEGER, g_c INTEGER, g_1b INTEGER, g_2b INTEGER, g_3b INTEGER, g_ss INTEGER, g_lf INTEGER, g_cf INTEGER, g_rf INTEGER, g_of INTEGER, g_dh NUMERIC, g_ph NUMERIC, g_pr NUMERIC) CREATE TABLE fielding_postseason (player_id VARCHAR(MAX), year INTEGER, team_id VARCHAR(MAX), league_id VARCHAR(MAX), round VARCHAR(MAX), pos VARCHAR(MAX), g INTEGER, gs NUMERIC, inn_outs NUMERIC, po INTEGER, a INTEGER, e INTEGER, dp INTEGER, tp INTEGER, pb NUMERIC, sb NUMERIC, cs NUMERIC) CREATE TABLE manager_award (player_id VARCHAR(MAX), award_id VARCHAR(MAX), year INTEGER, league_id VARCHAR(MAX), tie VARCHAR(MAX), notes NUMERIC) CREATE TABLE player_college (player_id VARCHAR(MAX), college_id VARCHAR(MAX), year INTEGER) CREATE TABLE hall_of_fame (player_id VARCHAR(MAX), yearid INTEGER, votedby VARCHAR(MAX), ballots NUMERIC, needed NUMERIC, votes NUMERIC, inducted VARCHAR(MAX), category VARCHAR(MAX), needed_note VARCHAR(MAX)) CREATE TABLE team (year INTEGER, league_id VARCHAR(MAX), team_id VARCHAR(MAX), franchise_id VARCHAR(MAX), div_id VARCHAR(MAX), rank INTEGER, g INTEGER, ghome NUMERIC, w INTEGER, l INTEGER, div_win VARCHAR(MAX), wc_win VARCHAR(MAX), lg_win VARCHAR(MAX), ws_win VARCHAR(MAX), r INTEGER, ab INTEGER, h INTEGER, double INTEGER, triple INTEGER, hr INTEGER, bb INTEGER, so NUMERIC, sb NUMERIC, cs NUMERIC, hbp NUMERIC, sf NUMERIC, ra INTEGER, er INTEGER, era NUMERIC, cg INTEGER, sho INTEGER, sv INTEGER, ipouts INTEGER, ha INTEGER, hra INTEGER, bba INTEGER, soa INTEGER, e INTEGER, dp NUMERIC, fp NUMERIC, name VARCHAR(MAX), park VARCHAR(MAX), attendance NUMERIC, bpf INTEGER, ppf INTEGER, team_id_br VARCHAR(MAX), team_id_lahman45 VARCHAR(MAX), team_id_retro VARCHAR(MAX)) CREATE TABLE player_award_vote (award_id VARCHAR(MAX), year INTEGER, league_id VARCHAR(MAX), player_id VARCHAR(MAX), points_won NUMERIC, points_max INTEGER, votes_first NUMERIC) CREATE TABLE home_game (year INTEGER, league_id VARCHAR(MAX), team_id VARCHAR(MAX), park_id VARCHAR(MAX), span_first VARCHAR(MAX), span_last VARCHAR(MAX), games INTEGER, openings INTEGER, attendance INTEGER) CREATE TABLE all_star (player_id VARCHAR(MAX), year INTEGER, game_num INTEGER, game_id VARCHAR(MAX), team_id VARCHAR(MAX), league_id VARCHAR(MAX), gp NUMERIC, starting_pos NUMERIC) CREATE TABLE player (player_id VARCHAR(MAX), birth_year NUMERIC, birth_month NUMERIC, birth_day NUMERIC, birth_country VARCHAR(MAX), birth_state VARCHAR(MAX), birth_city VARCHAR(MAX), death_year NUMERIC, death_month NUMERIC, death_day NUMERIC, death_country VARCHAR(MAX), death_state VARCHAR(MAX), death_city VARCHAR(MAX), name_first VARCHAR(MAX), name_last VARCHAR(MAX), name_given VARCHAR(MAX), weight NUMERIC, height NUMERIC, bats VARCHAR(MAX), throws VARCHAR(MAX), debut VARCHAR(MAX), final_game VARCHAR(MAX), retro_id VARCHAR(MAX), bbref_id VARCHAR(MAX)) CREATE TABLE manager (player_id VARCHAR(MAX), year INTEGER, team_id VARCHAR(MAX), league_id VARCHAR(MAX), inseason INTEGER, g INTEGER, w INTEGER, l INTEGER, rank NUMERIC, plyr_mgr VARCHAR(MAX))

Show the trend about the number of attendance at home games change over the years, bin year into year interval, could you sort X in asc order?

SELECT year, SUM(attendance) FROM home_game ORDER BY year

SELECT [year], SUM([attendance]) FROM [home_game] ORDER BY [year]

CREATE TABLE table_name_94 (haat VARCHAR, city_of_license VARCHAR)

what is the HAAT of devils lake

SELECT haat FROM table_name_94 WHERE city_of_license = "devils lake"

SELECT [haat] FROM [table_name_94] WHERE [city_of_license] = [devils lake]

CREATE TABLE table_name_68 (callsign VARCHAR, icao VARCHAR)

Who is the callsign that has ICAO of SCO?

SELECT callsign FROM table_name_68 WHERE icao = "sco"

SELECT [callsign] FROM [table_name_68] WHERE [icao] = [sco]

CREATE TABLE table_name_7 (grid INTEGER, time VARCHAR, laps VARCHAR)

What grid has an average time of +22.505 and laps larger than 23?

SELECT AVG(grid) FROM table_name_7 WHERE time = "+22.505" AND laps > 23

SELECT AVG([grid]) FROM [table_name_7] WHERE [+22.505] = [time] AND [laps] > 23

CREATE TABLE table_name_90 (top_5 INTEGER, wins INTEGER)

What is the fewest number of top-5s for events with more than 1 win?

SELECT MIN(top_5) FROM table_name_90 WHERE wins > 1

SELECT MIN([top_5]) FROM [table_name_90] WHERE [wins] > 1

CREATE TABLE table_name_19 (status VARCHAR, against VARCHAR)

What is the status of the match with 24 against?

SELECT status FROM table_name_19 WHERE against = 24

SELECT [status] FROM [table_name_19] WHERE [against] = 24

CREATE TABLE procedures (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE diagnoses (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE prescriptions (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icustay_id VARCHAR(MAX), drug_type VARCHAR(MAX), drug VARCHAR(MAX), formulary_drug_cd VARCHAR(MAX), route VARCHAR(MAX), drug_dose VARCHAR(MAX)) CREATE TABLE lab (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), itemid VARCHAR(MAX), charttime VARCHAR(MAX), flag VARCHAR(MAX), value_unit VARCHAR(MAX), label VARCHAR(MAX), fluid VARCHAR(MAX)) CREATE TABLE demographic (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), name VARCHAR(MAX), marital_status VARCHAR(MAX), age VARCHAR(MAX), dob VARCHAR(MAX), gender VARCHAR(MAX), language VARCHAR(MAX), religion VARCHAR(MAX), admission_type VARCHAR(MAX), days_stay VARCHAR(MAX), insurance VARCHAR(MAX), ethnicity VARCHAR(MAX), expire_flag VARCHAR(MAX), admission_location VARCHAR(MAX), discharge_location VARCHAR(MAX), diagnosis VARCHAR(MAX), dod VARCHAR(MAX), dob_year VARCHAR(MAX), dod_year VARCHAR(MAX), admittime VARCHAR(MAX), dischtime VARCHAR(MAX), admityear VARCHAR(MAX))

what is ethnicity of subject id 2560?

SELECT demographic.ethnicity FROM demographic WHERE demographic.subject_id = "2560"

SELECT [demographic].[ethnicity] FROM [demographic] WHERE [2560] = [demographic].[subject_id]

CREATE TABLE table_name_3 (club VARCHAR, captain VARCHAR)

In which club is Ledley King a captain?

SELECT club FROM table_name_3 WHERE captain = "ledley king"

SELECT [club] FROM [table_name_3] WHERE [captain] = [ledley king]

CREATE TABLE demographic (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), name VARCHAR(MAX), marital_status VARCHAR(MAX), age VARCHAR(MAX), dob VARCHAR(MAX), gender VARCHAR(MAX), language VARCHAR(MAX), religion VARCHAR(MAX), admission_type VARCHAR(MAX), days_stay VARCHAR(MAX), insurance VARCHAR(MAX), ethnicity VARCHAR(MAX), expire_flag VARCHAR(MAX), admission_location VARCHAR(MAX), discharge_location VARCHAR(MAX), diagnosis VARCHAR(MAX), dod VARCHAR(MAX), dob_year VARCHAR(MAX), dod_year VARCHAR(MAX), admittime VARCHAR(MAX), dischtime VARCHAR(MAX), admityear VARCHAR(MAX)) CREATE TABLE prescriptions (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icustay_id VARCHAR(MAX), drug_type VARCHAR(MAX), drug VARCHAR(MAX), formulary_drug_cd VARCHAR(MAX), route VARCHAR(MAX), drug_dose VARCHAR(MAX)) CREATE TABLE diagnoses (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE lab (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), itemid VARCHAR(MAX), charttime VARCHAR(MAX), flag VARCHAR(MAX), value_unit VARCHAR(MAX), label VARCHAR(MAX), fluid VARCHAR(MAX)) CREATE TABLE procedures (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX))

how many patients whose marital status is married and procedure short title is dx ultrasound-heart?

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.marital_status = "MARRIED" AND procedures.short_title = "Dx ultrasound-heart"

SELECT COUNT(DISTINCT [demographic].[subject_id]) FROM [demographic] JOIN [procedures] ON [Dx ultrasound-heart] = [procedures].[short_title] AND [demographic].[hadm_id] = [procedures].[hadm_id] WHERE [MARRIED] = [demographic].[marital_status]

CREATE TABLE table_52156 ([Rank] FLOAT, [List] VARCHAR(MAX), [Candidate name] VARCHAR(MAX), [Gender] VARCHAR(MAX), [Religion] VARCHAR(MAX), [Votes] FLOAT)

What is the average rank for antun salman?

SELECT AVG("Rank") FROM table_52156 WHERE "Candidate name" = 'antun salman'

SELECT AVG([Rank]) FROM [table_52156] WHERE [Candidate name] = 'antun salman'

CREATE TABLE flight_stop (flight_id INTEGER, stop_number INTEGER, stop_days VARCHAR(MAX), stop_airport VARCHAR(MAX), arrival_time INTEGER, arrival_airline VARCHAR(MAX), arrival_flight_number INTEGER, departure_time INTEGER, departure_airline VARCHAR(MAX), departure_flight_number INTEGER, stop_time INTEGER) CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INTEGER, high_flight_number INTEGER, dual_airline VARCHAR, service_name VARCHAR(MAX)) CREATE TABLE state (state_code VARCHAR(MAX), state_name VARCHAR(MAX), country_name VARCHAR(MAX)) CREATE TABLE flight_fare (flight_id INTEGER, fare_id INTEGER) CREATE TABLE ground_service (city_code VARCHAR(MAX), airport_code VARCHAR(MAX), transport_type VARCHAR(MAX), ground_fare INTEGER) CREATE TABLE code_description (code VARCHAR, description VARCHAR(MAX)) CREATE TABLE month (month_number INTEGER, month_name VARCHAR(MAX)) CREATE TABLE airline (airline_code VARCHAR, airline_name VARCHAR(MAX), note VARCHAR(MAX)) CREATE TABLE flight_leg (flight_id INTEGER, leg_number INTEGER, leg_flight INTEGER) CREATE TABLE flight (aircraft_code_sequence VARCHAR(MAX), airline_code VARCHAR, airline_flight VARCHAR(MAX), arrival_time INTEGER, connections INTEGER, departure_time INTEGER, dual_carrier VARCHAR(MAX), flight_days VARCHAR(MAX), flight_id INTEGER, flight_number INTEGER, from_airport VARCHAR, meal_code VARCHAR(MAX), stops INTEGER, time_elapsed INTEGER, to_airport VARCHAR) CREATE TABLE days (days_code VARCHAR, day_name VARCHAR) CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR) CREATE TABLE fare_basis (fare_basis_code VARCHAR(MAX), booking_class VARCHAR(MAX), class_type VARCHAR(MAX), premium VARCHAR(MAX), economy VARCHAR(MAX), discounted VARCHAR(MAX), night VARCHAR(MAX), season VARCHAR(MAX), basis_days VARCHAR(MAX)) CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INTEGER, propulsion VARCHAR, wide_body VARCHAR, wing_span INTEGER, length INTEGER, weight INTEGER, capacity INTEGER, pay_load INTEGER, cruising_speed INTEGER, range_miles INTEGER, pressurized VARCHAR) CREATE TABLE time_zone (time_zone_code VARCHAR(MAX), time_zone_name VARCHAR(MAX), hours_from_gmt INTEGER) CREATE TABLE fare (fare_id INTEGER, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code VARCHAR(MAX), fare_airline VARCHAR(MAX), restriction_code VARCHAR(MAX), one_direction_cost INTEGER, round_trip_cost INTEGER, round_trip_required VARCHAR) CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INTEGER, direction VARCHAR, minutes_distant INTEGER) CREATE TABLE restriction (restriction_code VARCHAR(MAX), advance_purchase INTEGER, stopovers VARCHAR(MAX), saturday_stay_required VARCHAR(MAX), minimum_stay INTEGER, maximum_stay INTEGER, application VARCHAR(MAX), no_discounts VARCHAR(MAX)) CREATE TABLE food_service (meal_code VARCHAR(MAX), meal_number INTEGER, compartment VARCHAR(MAX), meal_description VARCHAR) CREATE TABLE time_interval (period VARCHAR(MAX), begin_time INTEGER, end_time INTEGER) CREATE TABLE class_of_service (booking_class VARCHAR, rank INTEGER, class_description VARCHAR(MAX)) CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR) CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR) CREATE TABLE airport (airport_code VARCHAR, airport_name VARCHAR(MAX), airport_location VARCHAR(MAX), state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INTEGER) CREATE TABLE date_day (month_number INTEGER, day_number INTEGER, year INTEGER, day_name VARCHAR)

all right what US flights leave from INDIANAPOLIS to SAN DIEGO after 1330 in the afternoon

SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE ((CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'SAN DIEGO' AND flight.departure_time > 1330 AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'INDIANAPOLIS' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code) AND flight.airline_code = 'US'

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] = 'INDIANAPOLIS' JOIN [flight] ON [AIRPORT_SERVICE_0].[airport_code] = [flight].[from_airport] AND [flight].[airline_code] = 'US' AND [flight].[departure_time] > 1330 JOIN [airport_service] AS [AIRPORT_SERVICE_1] ON [AIRPORT_SERVICE_1].[airport_code] = [flight].[to_airport] JOIN [city] AS [CITY_1] ON [AIRPORT_SERVICE_1].[city_code] = [CITY_1].[city_code] AND [CITY_1].[city_name] = 'SAN DIEGO'

CREATE TABLE table_12687 ([Season] VARCHAR(MAX), [GP/MP] VARCHAR(MAX), [Kills] FLOAT, [K/Game] FLOAT, [Errors] FLOAT, [Total Attempts] FLOAT, [Percentage] FLOAT, [Assists] FLOAT, [Service Aces] FLOAT, [Digs] FLOAT, [Solo Blocks] FLOAT, [Block Assists] FLOAT, [Total Blocks] FLOAT)

When the percentage is 0.34900000000000003 with more than 13 solo blocks and less than 4713 total attempts, what is the greatest assists?

SELECT MAX("Assists") FROM table_12687 WHERE "Percentage" < '0.34900000000000003' AND "Solo Blocks" > '13' AND "Total Attempts" < '4713'

SELECT MAX([Assists]) FROM [table_12687] WHERE [Percentage] < '0.34900000000000003' AND [Solo Blocks] > '13' AND [Total Attempts] < '4713'

CREATE TABLE table_name_98 (college VARCHAR, year VARCHAR, position VARCHAR)

Which College has a Year smaller than 1962, and a Position of rb?

SELECT college FROM table_name_98 WHERE year < 1962 AND position = "rb"

SELECT [college] FROM [table_name_98] WHERE [position] = [rb] AND [year] < 1962

CREATE TABLE table_name_60 (november INTEGER, record VARCHAR)

What is the latest day in November of the game with a 15-5-2 record?

SELECT MAX(november) FROM table_name_60 WHERE record = "15-5-2"

SELECT MAX([november]) FROM [table_name_60] WHERE [15-5-2] = [record]