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CREATE TABLE table_34728 ([Country] VARCHAR(MAX), [Skip] VARCHAR(MAX), [Third] VARCHAR(MAX), [Second] VARCHAR(MAX), [Lead] VARCHAR(MAX))

Which skip's lead is Gordon McDougall?

SELECT "Skip" FROM table_34728 WHERE "Lead" = 'gordon mcdougall'

SELECT [Skip] FROM [table_34728] WHERE [Lead] = 'gordon mcdougall'

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)) 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))

Return a pie chart about the proportion of ACC_Road and the sum of School_ID.

SELECT ACC_Road, SUM(School_ID) FROM basketball_match GROUP BY ACC_Road

SELECT [ACC_Road], SUM([School_ID]) FROM [basketball_match] GROUP BY [ACC_Road]

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 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))

what is admission time and procedure short title of subject id 2560?

SELECT demographic.admittime, procedures.short_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.subject_id = "2560"

SELECT [demographic].[admittime], [procedures].[short_title] FROM [demographic] JOIN [procedures] ON [demographic].[hadm_id] = [procedures].[hadm_id] WHERE [2560] = [demographic].[subject_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))

provide the number of patients whose admission year is less than 2194 and drug name is magnesium sulfate replacement (oncology)?

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admityear < "2194" AND prescriptions.drug = "Magnesium Sulfate Replacement (Oncology)"

SELECT COUNT(DISTINCT [demographic].[subject_id]) FROM [demographic] JOIN [prescriptions] ON [Magnesium Sulfate Replacement (Oncology)] = [prescriptions].[drug] AND [demographic].[hadm_id] = [prescriptions].[hadm_id] WHERE [2194] > [demographic].[admityear]

CREATE TABLE table_68216 ([Year] FLOAT, [Manufacturer] VARCHAR(MAX), [Start] FLOAT, [Finish] FLOAT, [Team] VARCHAR(MAX))

Name the year when start was 32

SELECT "Year" FROM table_68216 WHERE "Start" = '32'

SELECT [Year] FROM [table_68216] WHERE [Start] = '32'

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 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 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))

give me the number of patients whose death status is 0 and diagnoses icd9 code is 69514?

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.expire_flag = "0" AND diagnoses.icd9_code = "69514"

SELECT COUNT(DISTINCT [demographic].[subject_id]) FROM [demographic] JOIN [diagnoses] ON [69514] = [diagnoses].[icd9_code] AND [demographic].[hadm_id] = [diagnoses].[hadm_id] WHERE [0] = [demographic].[expire_flag]

CREATE TABLE table_34699 ([Date] VARCHAR(MAX), [Tournament] VARCHAR(MAX), [Location] VARCHAR(MAX), [Winner] VARCHAR(MAX), [Score] VARCHAR(MAX), [1st prize ( $ ) ] VARCHAR(MAX))

What is the tournament on Apr 6?

SELECT "Tournament" FROM table_34699 WHERE "Date" = 'apr 6'

SELECT [Tournament] FROM [table_34699] WHERE [Date] = 'apr 6'

CREATE TABLE election (Election_ID INTEGER, Counties_Represented VARCHAR(MAX), District INTEGER, Delegate VARCHAR(MAX), Party INTEGER, First_Elected FLOAT, Committee VARCHAR(MAX)) CREATE TABLE party (Party_ID INTEGER, Year FLOAT, Party VARCHAR(MAX), Governor VARCHAR(MAX), Lieutenant_Governor VARCHAR(MAX), Comptroller VARCHAR(MAX), Attorney_General VARCHAR(MAX), US_Senate VARCHAR(MAX)) CREATE TABLE county (County_Id INTEGER, County_name VARCHAR(MAX), Population FLOAT, Zip_code VARCHAR(MAX))

Show me population by county name in a histogram, rank bar in asc order.

SELECT County_name, Population FROM county ORDER BY County_name

SELECT [County_name], [Population] FROM [county] ORDER BY [County_name]

CREATE TABLE table_32608 ([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 venue features collingwood as the home side?

SELECT "Venue" FROM table_32608 WHERE "Home team" = 'collingwood'

SELECT [Venue] FROM [table_32608] WHERE [Home team] = 'collingwood'

CREATE TABLE table_20898602_1 (position VARCHAR, player VARCHAR)

howe many positions did wallace, mike mike wallace play for

SELECT COUNT(position) FROM table_20898602_1 WHERE player = "Wallace, Mike Mike Wallace"

SELECT COUNT([position]) FROM [table_20898602_1] WHERE [Wallace, Mike Mike Wallace] = [player]

CREATE TABLE table_43297 ([Name] VARCHAR(MAX), [Years] VARCHAR(MAX), [League a] VARCHAR(MAX), [FA Cup] VARCHAR(MAX), [League Cup] VARCHAR(MAX), [Other b] VARCHAR(MAX), [Total] VARCHAR(MAX))

What is the Total when the league shows 79 (221)?

SELECT "Total" FROM table_43297 WHERE "League a" = '79 (221)'

SELECT [Total] FROM [table_43297] WHERE [League a] = '79 (221)'

CREATE TABLE table_train_201 ([id] INTEGER, [blood_pressure_bilaterally] BIT, [creatinine_clearance_cl] FLOAT, [total_cholesterol] INTEGER, [smoking] BIT, [triglyceride_tg] FLOAT, [NOUSE] FLOAT)

able to have blood pressure taken bilaterally

SELECT * FROM table_train_201 WHERE blood_pressure_bilaterally = 1

SELECT * FROM [table_train_201] WHERE [blood_pressure_bilaterally] = 1

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 microlab (microlabid NUMERIC, patientunitstayid NUMERIC, culturesite VARCHAR(MAX), organism VARCHAR(MAX), culturetakentime TIME) CREATE TABLE allergy (allergyid NUMERIC, patientunitstayid NUMERIC, drugname VARCHAR(MAX), allergyname VARCHAR(MAX), allergytime TIME) 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 intakeoutput (intakeoutputid NUMERIC, patientunitstayid NUMERIC, cellpath VARCHAR(MAX), celllabel VARCHAR(MAX), cellvaluenumeric NUMERIC, intakeoutputtime TIME) CREATE TABLE medication (medicationid NUMERIC, patientunitstayid NUMERIC, drugname VARCHAR(MAX), dosage VARCHAR(MAX), routeadmin VARCHAR(MAX), drugstarttime TIME, drugstoptime 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 treatment (treatmentid NUMERIC, patientunitstayid NUMERIC, treatmentname VARCHAR(MAX), treatmenttime TIME) CREATE TABLE diagnosis (diagnosisid NUMERIC, patientunitstayid NUMERIC, diagnosisname VARCHAR(MAX), diagnosistime TIME, icd9code VARCHAR(MAX))

what is the price for the lorazepam inj?

SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'medication' AND cost.eventid IN (SELECT medication.medicationid FROM medication WHERE medication.drugname = 'lorazepam inj')

WITH [_u_0] AS (SELECT [medication].[medicationid] AS [medicationid] FROM [medication] WHERE [medication].[drugname] = 'lorazepam inj' GROUP BY [medicationid]) SELECT DISTINCT [cost].[cost] FROM [cost] LEFT JOIN [_u_0] AS [_u_0] ON [_u_0].[] = [cost].[eventid] WHERE [cost].[eventtype] = 'medication' AND NOT [_u_0].[] IS NULL

CREATE TABLE PostLinks (Id NUMERIC, CreationDate TIME, PostId NUMERIC, RelatedPostId NUMERIC, LinkTypeId NUMERIC) 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 PostHistoryTypes (Id NUMERIC, Name VARCHAR(MAX)) CREATE TABLE PostNotices (Id NUMERIC, PostId NUMERIC, PostNoticeTypeId NUMERIC, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body VARCHAR(MAX), OwnerUserId NUMERIC, DeletionUserId NUMERIC) CREATE TABLE Tags (Id NUMERIC, TagName VARCHAR(MAX), Count NUMERIC, ExcerptPostId NUMERIC, WikiPostId 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 ReviewTaskTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE Votes (Id NUMERIC, PostId NUMERIC, VoteTypeId NUMERIC, UserId NUMERIC, CreationDate TIME, BountyAmount NUMERIC) CREATE TABLE ReviewTaskStates (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) 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 ReviewRejectionReasons (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX), PostTypeId NUMERIC) CREATE TABLE Badges (Id NUMERIC, UserId NUMERIC, Name VARCHAR(MAX), Date TIME, Class NUMERIC, TagBased BIT) CREATE TABLE VoteTypes (Id NUMERIC, Name VARCHAR(MAX)) CREATE TABLE ReviewTaskResultTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE ReviewTaskResults (Id NUMERIC, ReviewTaskId NUMERIC, ReviewTaskResultTypeId NUMERIC, CreationDate TIME, RejectionReasonId NUMERIC, Comment VARCHAR(MAX)) CREATE TABLE CloseReasonTypes (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 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 PostTypes (Id NUMERIC, Name VARCHAR(MAX)) CREATE TABLE FlagTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) 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 PostTags (PostId NUMERIC, TagId 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 PendingFlags (Id NUMERIC, FlagTypeId NUMERIC, PostId NUMERIC, CreationDate TIME, CloseReasonTypeId NUMERIC, CloseAsOffTopicReasonTypeId NUMERIC, DuplicateOfQuestionId NUMERIC, BelongsOnBaseHostAddress VARCHAR(MAX)) CREATE TABLE PostFeedback (Id NUMERIC, PostId NUMERIC, IsAnonymous BIT, VoteTypeId NUMERIC, CreationDate TIME) CREATE TABLE PostNoticeTypes (Id NUMERIC, ClassId NUMERIC, Name VARCHAR(MAX), Body VARCHAR(MAX), IsHidden BIT, Predefined BIT, PostNoticeDurationId NUMERIC) CREATE TABLE ReviewTasks (Id NUMERIC, ReviewTaskTypeId NUMERIC, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMERIC, PostId NUMERIC, SuggestedEditId NUMERIC, CompletedByReviewTaskId NUMERIC) CREATE TABLE SuggestedEditVotes (Id NUMERIC, SuggestedEditId NUMERIC, UserId NUMERIC, VoteTypeId NUMERIC, CreationDate TIME, TargetUserId NUMERIC, TargetRepChange NUMERIC) 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))

Largest rep without having posts.

SELECT Id AS "user_link", Reputation AS Rep, * FROM Users WHERE Id NOT IN (SELECT OwnerUserId FROM Posts) ORDER BY Reputation DESC, Id LIMIT 100

SELECT TOP 100 [Id] AS [user_link], [Reputation] AS [Rep], * FROM [Users] WHERE NOT [Id] IN (SELECT [OwnerUserId] FROM [Posts]) ORDER BY [Reputation] DESC, [Id]

CREATE TABLE table_8640 ([Game] FLOAT, [Date] FLOAT, [Opponent] VARCHAR(MAX), [Score] VARCHAR(MAX), [Decision] VARCHAR(MAX), [Location/Attendance] VARCHAR(MAX), [Record] VARCHAR(MAX))

What is the location and attendance of the game with a game number greater than 7 and a record of 5-2-1?

SELECT "Location/Attendance" FROM table_8640 WHERE "Game" > '7' AND "Record" = '5-2-1'

SELECT [Location/Attendance] FROM [table_8640] WHERE [Game] > '7' AND [Record] = '5-2-1'

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 microlab (microlabid NUMERIC, patientunitstayid NUMERIC, culturesite VARCHAR(MAX), organism VARCHAR(MAX), culturetakentime TIME) CREATE TABLE lab (labid NUMERIC, patientunitstayid NUMERIC, labname VARCHAR(MAX), labresult NUMERIC, labresulttime TIME) CREATE TABLE cost (costid NUMERIC, uniquepid VARCHAR(MAX), patienthealthsystemstayid NUMERIC, eventtype VARCHAR(MAX), eventid NUMERIC, chargetime TIME, cost NUMERIC) CREATE TABLE medication (medicationid NUMERIC, patientunitstayid NUMERIC, drugname VARCHAR(MAX), dosage VARCHAR(MAX), routeadmin VARCHAR(MAX), drugstarttime TIME, drugstoptime 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 intakeoutput (intakeoutputid NUMERIC, patientunitstayid NUMERIC, cellpath VARCHAR(MAX), celllabel VARCHAR(MAX), cellvaluenumeric NUMERIC, intakeoutputtime TIME) CREATE TABLE allergy (allergyid NUMERIC, patientunitstayid NUMERIC, drugname VARCHAR(MAX), allergyname VARCHAR(MAX), allergytime TIME)

how many days have passed since the last time that patient 027-85328 stayed on the current hospital encounter in the ward 996?

SELECT 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', patient.unitadmittime)) FROM patient WHERE patient.uniquepid = '027-85328' AND patient.wardid = 996 AND patient.hospitaldischargetime IS NULL ORDER BY patient.unitadmittime DESC LIMIT 1

SELECT TOP 1 1 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', [patient].[unitadmittime])) FROM [patient] WHERE [patient].[hospitaldischargetime] IS NULL AND [patient].[uniquepid] = '027-85328' AND [patient].[wardid] = 996 ORDER BY [patient].[unitadmittime] DESC

CREATE TABLE table_204_636 (id NUMERIC, [season] VARCHAR(MAX), [tier] NUMERIC, [division] VARCHAR(MAX), [pos.] VARCHAR(MAX), [notes] VARCHAR(MAX))

how many seasons did someone get 3rd place ?

SELECT COUNT("season") FROM table_204_636 WHERE "pos." = 3

SELECT COUNT([season]) FROM [table_204_636] WHERE [pos.] = 3

CREATE TABLE table_66926 ([Ensemble] VARCHAR(MAX), [Gold Medals] FLOAT, [Silver Medals] FLOAT, [Bronze Medals] FLOAT, [Total Medals] FLOAT)

What is the lowest Total Medals that has madison independent and Bronze Medals larger than 0

SELECT MIN("Total Medals") FROM table_66926 WHERE "Ensemble" = 'madison independent' AND "Bronze Medals" > '0'

SELECT MIN([Total Medals]) FROM [table_66926] WHERE [Bronze Medals] > '0' AND [Ensemble] = 'madison independent'

CREATE TABLE table_46330 ([Round] FLOAT, [Pick #] FLOAT, [Player] VARCHAR(MAX), [Position] VARCHAR(MAX), [College] VARCHAR(MAX))

WHo is the Player got a Pick # smaller than 61, and a College of texas?

SELECT "Player" FROM table_46330 WHERE "Pick #" < '61' AND "College" = 'texas'

SELECT [Player] FROM [table_46330] WHERE [College] = 'texas' AND [Pick #] < '61'

CREATE TABLE table_name_24 (team VARCHAR, laps VARCHAR, driver VARCHAR)

What team had 10 Labs and the Driver was Alex Yoong?

SELECT team FROM table_name_24 WHERE laps = 10 AND driver = "alex yoong"

SELECT [team] FROM [table_name_24] WHERE [alex yoong] = [driver] AND [laps] = 10

CREATE TABLE company (Company_ID FLOAT, Name VARCHAR(MAX), Headquarters VARCHAR(MAX), Industry VARCHAR(MAX), Sales_in_Billion FLOAT, Profits_in_Billion FLOAT, Assets_in_Billion FLOAT, Market_Value_in_Billion FLOAT) CREATE TABLE people (People_ID INTEGER, Age INTEGER, Name VARCHAR(MAX), Nationality VARCHAR(MAX), Graduation_College VARCHAR(MAX)) CREATE TABLE employment (Company_ID INTEGER, People_ID INTEGER, Year_working INTEGER)

Stack bar chart of the number of headquarters vs Industry based on headquarters

SELECT Headquarters, COUNT(Headquarters) FROM company GROUP BY Industry, Headquarters

SELECT [Headquarters], COUNT([Headquarters]) FROM [company] GROUP BY [Industry], [Headquarters]

CREATE TABLE table_70501 ([Team 1] VARCHAR(MAX), [Agg.] VARCHAR(MAX), [Team 2] VARCHAR(MAX), [1st leg] VARCHAR(MAX), [2nd leg] VARCHAR(MAX))

Which Team 1 has an aggregate score of 1-1 1?

SELECT "Team 1" FROM table_70501 WHERE "Agg." = '1-1 1'

SELECT [Team 1] FROM [table_70501] WHERE [Agg.] = '1-1 1'

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 offering_instructor (offering_instructor_id INTEGER, offering_id INTEGER, instructor_id INTEGER) CREATE TABLE program_requirement (program_id INTEGER, category VARCHAR, min_credit INTEGER, additional_req VARCHAR) CREATE TABLE course_prerequisite (pre_course_id INTEGER, course_id INTEGER) CREATE TABLE program_course (program_id INTEGER, course_id INTEGER, workload INTEGER, category VARCHAR) CREATE TABLE area (course_id INTEGER, area VARCHAR) CREATE TABLE requirement (requirement_id INTEGER, requirement VARCHAR, college VARCHAR) CREATE TABLE semester (semester_id INTEGER, semester VARCHAR, year 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 jobs (job_id INTEGER, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INTEGER) 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) 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 gsi (course_offering_id INTEGER, student_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 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)

Could you tell me what classes Dr. Ashley Bisutti has taught before ?

SELECT DISTINCT course.department, course.name, course.number FROM course, course_offering, instructor, offering_instructor WHERE course_offering.semester < (SELECT SEMESTERalias0.semester_id FROM semester AS SEMESTERalias0 WHERE SEMESTERalias0.semester = 'WN' AND SEMESTERalias0.year = 2016) AND course.course_id = course_offering.course_id AND instructor.name LIKE '%Ashley Bisutti%' AND offering_instructor.instructor_id = instructor.instructor_id AND offering_instructor.offering_id = course_offering.offering_id

SELECT DISTINCT [course].[department], [course].[name], [course].[number] FROM [course] JOIN [course_offering] ON [course].[course_id] = [course_offering].[course_id] JOIN [semester] AS [SEMESTERalias0] ON [SEMESTERalias0].[semester] = 'WN' AND [SEMESTERalias0].[semester_id] > [course_offering].[semester] AND [SEMESTERalias0].[year] = 2016 JOIN [offering_instructor] ON [course_offering].[offering_id] = [offering_instructor].[offering_id] JOIN [instructor] ON [instructor].[instructor_id] = [offering_instructor].[instructor_id] AND [instructor].[name] LIKE '%Ashley Bisutti%'

CREATE TABLE table_37303 ([Medal] VARCHAR(MAX), [Name] VARCHAR(MAX), [Games] VARCHAR(MAX), [Sport] VARCHAR(MAX), [Event] VARCHAR(MAX))

At which games did Tunisia win a bronze in the men's 1500 m freestyle?

SELECT "Games" FROM table_37303 WHERE "Medal" = 'bronze' AND "Event" = 'men''s 1500 m freestyle'

SELECT [Games] FROM [table_37303] WHERE [Event] = 'men''s 1500 m freestyle' AND [Medal] = 'bronze'

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 microbiologyevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, charttime TIME, spec_type_desc VARCHAR(MAX), org_name 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 inputevents_cv (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, charttime TIME, itemid NUMERIC, amount NUMERIC) 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_icd_diagnoses (row_id NUMERIC, icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE procedures_icd (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icd9_code VARCHAR(MAX), charttime TIME) 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_items (row_id NUMERIC, itemid NUMERIC, label VARCHAR(MAX), linksto VARCHAR(MAX)) CREATE TABLE d_labitems (row_id NUMERIC, itemid NUMERIC, label 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 labevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, itemid NUMERIC, charttime TIME, valuenum NUMERIC, valueuom VARCHAR(MAX)) 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 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)

how many hours have elapsed since patient 49176 stayed in the careunit sicu for the first time on the current hospital visit?

SELECT 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', transfers.intime)) FROM transfers WHERE transfers.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 49176 AND admissions.dischtime IS NULL) AND transfers.careunit = 'sicu' ORDER BY transfers.intime LIMIT 1

WITH [_u_0] AS (SELECT [admissions].[hadm_id] AS [hadm_id] FROM [admissions] WHERE [admissions].[dischtime] IS NULL AND [admissions].[subject_id] = 49176 GROUP BY [hadm_id]) SELECT TOP 1 24 * (STRFTIME('%j', CURRENT_TIME()) - STRFTIME('%j', [transfers].[intime])) FROM [transfers] LEFT JOIN [_u_0] AS [_u_0] ON [_u_0].[] = [transfers].[hadm_id] WHERE [transfers].[careunit] = 'sicu' AND NOT [_u_0].[] IS NULL ORDER BY [transfers].[intime]

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 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 allergy (allergyid NUMERIC, patientunitstayid NUMERIC, drugname VARCHAR(MAX), allergyname VARCHAR(MAX), allergytime TIME) 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 treatment (treatmentid NUMERIC, patientunitstayid NUMERIC, treatmentname VARCHAR(MAX), treatmenttime TIME) CREATE TABLE intakeoutput (intakeoutputid NUMERIC, patientunitstayid NUMERIC, cellpath VARCHAR(MAX), celllabel VARCHAR(MAX), cellvaluenumeric NUMERIC, intakeoutputtime TIME) CREATE TABLE cost (costid NUMERIC, uniquepid VARCHAR(MAX), patienthealthsystemstayid NUMERIC, eventtype VARCHAR(MAX), eventid NUMERIC, chargetime TIME, cost NUMERIC) CREATE TABLE microlab (microlabid NUMERIC, patientunitstayid NUMERIC, culturesite VARCHAR(MAX), organism VARCHAR(MAX), culturetakentime TIME) CREATE TABLE medication (medicationid NUMERIC, patientunitstayid NUMERIC, drugname VARCHAR(MAX), dosage VARCHAR(MAX), routeadmin VARCHAR(MAX), drugstarttime TIME, drugstoptime TIME)

what were the top three most common diagnoses of patients aged 30s until 2102.

SELECT t1.diagnosisname FROM (SELECT diagnosis.diagnosisname, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM diagnosis WHERE diagnosis.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.age BETWEEN 30 AND 39) AND STRFTIME('%y', diagnosis.diagnosistime) <= '2102' GROUP BY diagnosis.diagnosisname) AS t1 WHERE t1.c1 <= 3

WITH [_u_0] AS (SELECT [patient].[patientunitstayid] AS [patientunitstayid] FROM [patient] WHERE [patient].[age] <= 39 AND [patient].[age] >= 30 GROUP BY [patientunitstayid]), [t1] AS (SELECT [diagnosis].[diagnosisname] AS [diagnosisname], DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS [c1] FROM [diagnosis] LEFT JOIN [_u_0] AS [_u_0] ON [_u_0].[] = [diagnosis].[patientunitstayid] WHERE NOT [_u_0].[] IS NULL AND STRFTIME('%y', [diagnosis].[diagnosistime]) <= '2102' GROUP BY [diagnosis].[diagnosisname]) SELECT [t1].[diagnosisname] FROM [t1] AS [t1] WHERE [t1].[c1] <= 3

CREATE TABLE table_18424435_5 (directed_by VARCHAR, us_air_date VARCHAR)

Who directed the episode that aired on July 29, 2011?

SELECT directed_by FROM table_18424435_5 WHERE us_air_date = "July 29, 2011"

SELECT [directed_by] FROM [table_18424435_5] WHERE [July 29, 2011] = [us_air_date]

CREATE TABLE table_name_66 (spectators INTEGER, time___cest__ VARCHAR, team__number2 VARCHAR)

Name the sum of spectators for time more than 20.05 and team #2 of estonia

SELECT SUM(spectators) FROM table_name_66 WHERE time___cest__ > 20.05 AND team__number2 = "estonia"

SELECT SUM([spectators]) FROM [table_name_66] WHERE [estonia] = [team__number2] AND [time___cest__] > 20.05

CREATE TABLE semester (semester_id INTEGER, semester VARCHAR, year INTEGER) CREATE TABLE instructor (instructor_id INTEGER, name VARCHAR, uniqname 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 comment_instructor (instructor_id INTEGER, student_id INTEGER, score INTEGER, comment_text VARCHAR) CREATE TABLE program_course (program_id INTEGER, course_id INTEGER, workload INTEGER, category 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 offering_instructor (offering_instructor_id INTEGER, offering_id INTEGER, instructor_id 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_requirement (program_id INTEGER, category VARCHAR, min_credit INTEGER, additional_req VARCHAR) CREATE TABLE course_prerequisite (pre_course_id INTEGER, course_id 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 gsi (course_offering_id INTEGER, student_id INTEGER) CREATE TABLE program (program_id INTEGER, name VARCHAR, college VARCHAR, introduction VARCHAR) CREATE TABLE ta (campus_job_id INTEGER, student_id INTEGER, location VARCHAR) 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 requirement (requirement_id INTEGER, requirement VARCHAR, college VARCHAR) CREATE TABLE area (course_id INTEGER, area VARCHAR)

Which classes both meet the PreMajor requirement and are offered in Spring or Summer ?

SELECT DISTINCT course.department, course.name, course.number, semester.semester FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester INNER JOIN program_course ON program_course.course_id = course_offering.course_id WHERE program_course.category LIKE '%PreMajor%' AND semester.semester IN ('SP', 'SS', 'SU') AND semester.year = 2016

SELECT DISTINCT [course].[department], [course].[name], [course].[number], [semester].[semester] FROM [course] JOIN [course_offering] ON [course].[course_id] = [course_offering].[course_id] JOIN [program_course] ON [course_offering].[course_id] = [program_course].[course_id] AND [program_course].[category] LIKE '%PreMajor%' JOIN [semester] ON [course_offering].[semester] = [semester].[semester_id] AND [semester].[semester] IN ('SP', 'SS', 'SU') AND [semester].[year] = 2016

CREATE TABLE table_name_50 (earnings__ INTEGER, wins VARCHAR, rank VARCHAR)

Which player has the lowest earnings and has at least 4 wins and is ranked higher than 4?

SELECT MIN(earnings__) AS $__ FROM table_name_50 WHERE wins = 4 AND rank > 4

SELECT MIN([earnings__]) AS [$__] FROM [table_name_50] WHERE [rank] > 4 AND [wins] = 4

CREATE TABLE table_63928 ([Call sign] VARCHAR(MAX), [Broadcast channel] FLOAT, [Digital PSIP] FLOAT, [Cable channel] FLOAT, [Network] VARCHAR(MAX))

What is the lowest Digital PSIP for channels over 29 with callsign CFTU-DT?

SELECT MIN("Digital PSIP") FROM table_63928 WHERE "Call sign" = 'cftu-dt' AND "Broadcast channel" > '29'

SELECT MIN([Digital PSIP]) FROM [table_63928] WHERE [Broadcast channel] > '29' AND [Call sign] = 'cftu-dt'

CREATE TABLE table_36088 ([Home ( 1st leg ) ] VARCHAR(MAX), [Home ( 2nd leg ) ] VARCHAR(MAX), [1st Leg] VARCHAR(MAX), [2nd leg] VARCHAR(MAX), [Aggregate] VARCHAR(MAX))

What aggregate has a 0-0 1st leg, and is from Instituto?

SELECT "Aggregate" FROM table_36088 WHERE "1st Leg" = '0-0' AND "Home (2nd leg)" = 'instituto'

SELECT [Aggregate] FROM [table_36088] WHERE [1st Leg] = '0-0' AND [Home (2nd leg)] = 'instituto'

CREATE TABLE table_66434 ([Rank] FLOAT, [Lane] FLOAT, [Name] VARCHAR(MAX), [Nationality] VARCHAR(MAX), [Time] VARCHAR(MAX))

What is the time of Yuliya Yefimova?

SELECT "Time" FROM table_66434 WHERE "Name" = 'yuliya yefimova'

SELECT [Time] FROM [table_66434] WHERE [Name] = 'yuliya yefimova'

CREATE TABLE table_38727 ([Res.] VARCHAR(MAX), [Record] VARCHAR(MAX), [Opponent] VARCHAR(MAX), [Method] VARCHAR(MAX), [Event] VARCHAR(MAX), [Round] FLOAT, [Time] VARCHAR(MAX), [Location] VARCHAR(MAX))

Which opponent has a time of 1:50?

SELECT "Opponent" FROM table_38727 WHERE "Time" = '1:50'

SELECT [Opponent] FROM [table_38727] WHERE [Time] = '1:50'

CREATE TABLE table_name_98 (event VARCHAR, location VARCHAR)

What bombing happened in Brighton, UK?

SELECT event FROM table_name_98 WHERE location = "brighton, uk"

SELECT [event] FROM [table_name_98] WHERE [brighton, uk] = [location]

CREATE TABLE table_name_67 (laps INTEGER, start VARCHAR, finish VARCHAR)

How many laps were completed with a start of 33, and a finish of 18?

SELECT MAX(laps) FROM table_name_67 WHERE start = "33" AND finish = "18"

SELECT MAX([laps]) FROM [table_name_67] WHERE [18] = [finish] AND [33] = [start]

CREATE TABLE table_78938 ([City] VARCHAR(MAX), [Country] VARCHAR(MAX), [Airport] VARCHAR(MAX), [IATA] VARCHAR(MAX), [ICAO] VARCHAR(MAX))

In what Country is Haugesund?

SELECT "Country" FROM table_78938 WHERE "City" = 'haugesund'

SELECT [Country] FROM [table_78938] WHERE [City] = 'haugesund'

CREATE TABLE table_name_28 (date VARCHAR, home VARCHAR)

What was the date of the Capitals game when Columbus was the home team?

SELECT date FROM table_name_28 WHERE home = "columbus"

SELECT [date] FROM [table_name_28] WHERE [columbus] = [home]

CREATE TABLE table_42000 ([District] FLOAT, [Incumbent] VARCHAR(MAX), [2008 Status] VARCHAR(MAX), [Democratic] VARCHAR(MAX), [Republican] VARCHAR(MAX))

Which incumbent's democratic candidate was mike carroll?

SELECT "Incumbent" FROM table_42000 WHERE "Democratic" = 'mike carroll'

SELECT [Incumbent] FROM [table_42000] WHERE [Democratic] = 'mike carroll'

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 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))

what is admission location and procedure icd9 code of subject id 2560?

SELECT demographic.admission_location, procedures.icd9_code FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.subject_id = "2560"

SELECT [demographic].[admission_location], [procedures].[icd9_code] FROM [demographic] JOIN [procedures] ON [demographic].[hadm_id] = [procedures].[hadm_id] WHERE [2560] = [demographic].[subject_id]

CREATE TABLE table_dev_2 ([id] INTEGER, [nutrient_absorption] BIT, [systolic_blood_pressure_sbp] INTEGER, [active_metabolic] BIT, [hepatic_disease] BIT, [surgery] BIT, [diastolic_blood_pressure_dbp] INTEGER, [gastrointestinal_disease] BIT, [organ_failure] BIT, [NOUSE] FLOAT)

subject states that he / she has end stage organ failure

SELECT * FROM table_dev_2 WHERE organ_failure = 1

SELECT * FROM [table_dev_2] WHERE [organ_failure] = 1

CREATE TABLE table_65990 ([Rank] VARCHAR(MAX), [Nation] VARCHAR(MAX), [Gold] FLOAT, [Silver] FLOAT, [Bronze] FLOAT, [Total] FLOAT)

Which Total has a Rank of 5, and a Bronze smaller than 0?

SELECT AVG("Total") FROM table_65990 WHERE "Rank" = '5' AND "Bronze" < '0'

SELECT AVG([Total]) FROM [table_65990] WHERE [Bronze] < '0' AND [Rank] = '5'

CREATE TABLE table_1341690_21 (party VARCHAR, candidates VARCHAR)

what is the party where the candidates are edward boland (d) unopposed?

SELECT party FROM table_1341690_21 WHERE candidates = "Edward Boland (D) Unopposed"

SELECT [party] FROM [table_1341690_21] WHERE [Edward Boland (D) Unopposed] = [candidates]

CREATE TABLE PostLinks (Id NUMERIC, CreationDate TIME, PostId NUMERIC, RelatedPostId NUMERIC, LinkTypeId 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 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 Badges (Id NUMERIC, UserId NUMERIC, Name VARCHAR(MAX), Date TIME, Class NUMERIC, TagBased BIT) CREATE TABLE SuggestedEditVotes (Id NUMERIC, SuggestedEditId NUMERIC, UserId NUMERIC, VoteTypeId NUMERIC, CreationDate TIME, TargetUserId NUMERIC, TargetRepChange NUMERIC) CREATE TABLE FlagTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE ReviewTaskTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE ReviewTaskResults (Id NUMERIC, ReviewTaskId NUMERIC, ReviewTaskResultTypeId NUMERIC, CreationDate TIME, RejectionReasonId NUMERIC, Comment 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 PostNoticeTypes (Id NUMERIC, ClassId NUMERIC, Name VARCHAR(MAX), Body VARCHAR(MAX), IsHidden BIT, Predefined BIT, PostNoticeDurationId NUMERIC) CREATE TABLE PostHistoryTypes (Id NUMERIC, Name VARCHAR(MAX)) CREATE TABLE Tags (Id NUMERIC, TagName VARCHAR(MAX), Count NUMERIC, ExcerptPostId NUMERIC, WikiPostId NUMERIC) 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 Comments (Id NUMERIC, PostId NUMERIC, Score NUMERIC, Text VARCHAR(MAX), CreationDate TIME, UserDisplayName VARCHAR(MAX), UserId NUMERIC, ContentLicense VARCHAR(MAX)) 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 PendingFlags (Id NUMERIC, FlagTypeId NUMERIC, PostId NUMERIC, CreationDate TIME, CloseReasonTypeId NUMERIC, CloseAsOffTopicReasonTypeId NUMERIC, DuplicateOfQuestionId NUMERIC, BelongsOnBaseHostAddress 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 CloseReasonTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE PostFeedback (Id NUMERIC, PostId NUMERIC, IsAnonymous BIT, VoteTypeId NUMERIC, CreationDate TIME) CREATE TABLE PostTypes (Id NUMERIC, Name 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 ReviewTaskResultTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE ReviewRejectionReasons (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX), PostTypeId NUMERIC) CREATE TABLE Votes (Id NUMERIC, PostId NUMERIC, VoteTypeId NUMERIC, UserId NUMERIC, CreationDate TIME, BountyAmount NUMERIC) CREATE TABLE ReviewTaskStates (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE PostTags (PostId NUMERIC, TagId NUMERIC) CREATE TABLE ReviewTasks (Id NUMERIC, ReviewTaskTypeId NUMERIC, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMERIC, PostId NUMERIC, SuggestedEditId NUMERIC, CompletedByReviewTaskId NUMERIC) CREATE TABLE VoteTypes (Id NUMERIC, Name VARCHAR(MAX)) 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)

Recent Java questions from higher-rep users.

SELECT DISTINCT A.Id, A.CreationDate, C.Reputation, A.Score, A.AcceptedAnswerId, A.Title, A.Body FROM Posts AS A INNER JOIN PostTypes AS B ON A.PostTypeId = B.Id INNER JOIN Users AS C ON A.OwnerUserId = C.Id INNER JOIN PostTags AS D ON A.Id = D.PostId INNER JOIN Tags AS E ON D.TagId = E.Id WHERE A.CreationDate > DATEADD(week, DATEDIFF(week, 0, GETDATE()) - 1, -1) AND B.Name = 'Question' AND C.Reputation > 100 AND E.TagName = 'javascript' ORDER BY A.CreationDate DESC

SELECT DISTINCT [A].[id], [A].[creationdate], [C].[reputation], [A].[score], [A].[acceptedanswerid], [A].[title], [A].[body] FROM [Posts] AS [A] JOIN [PostTypes] AS [B] ON [A].[posttypeid] = [B].[id] AND [B].[name] = 'Question' JOIN [Users] AS [C] ON [A].[owneruserid] = [C].[id] AND [C].[reputation] > 100 JOIN [PostTags] AS [D] ON [A].[id] = [D].[postid] JOIN [Tags] AS [E] ON [D].[tagid] = [E].[id] AND [E].[tagname] = 'javascript' WHERE [A].[creationdate] > DATEADD(WEEK, DATEDIFF(DAY, CAST('1900-01-01' AS DATETIME2), CAST([week] AS DATETIME2)) - 1, -1) ORDER BY [A].[creationdate] DESC

CREATE TABLE table_8032 ([Religion] VARCHAR(MAX), [Scheduled Caste] VARCHAR(MAX), [Scheduled Tribe] VARCHAR(MAX), [Other Backward Class] VARCHAR(MAX), [Forward caste] VARCHAR(MAX))

WHAT IS THE FORWARD CASTE WITH A SCHEDULED CASTE OF 0.80%?

SELECT "Forward caste" FROM table_8032 WHERE "Scheduled Caste" = '0.80%'

SELECT [Forward caste] FROM [table_8032] WHERE [Scheduled Caste] = '0.80%'

CREATE TABLE news_report (journalist_id NUMERIC, event_id NUMERIC, work_type VARCHAR(MAX)) CREATE TABLE journalist (journalist_id NUMERIC, name VARCHAR(MAX), nationality VARCHAR(MAX), age VARCHAR(MAX), years_working NUMERIC) CREATE TABLE event (event_id NUMERIC, date VARCHAR(MAX), venue VARCHAR(MAX), name VARCHAR(MAX), event_attendance NUMERIC)

Show the dates, places, and names of events in descending order of the attendance.

SELECT date, name, venue FROM event ORDER BY event_attendance DESC

SELECT [date], [name], [venue] FROM [event] ORDER BY [event_attendance] DESC

CREATE TABLE PendingFlags (Id NUMERIC, FlagTypeId NUMERIC, PostId NUMERIC, CreationDate TIME, CloseReasonTypeId NUMERIC, CloseAsOffTopicReasonTypeId NUMERIC, DuplicateOfQuestionId NUMERIC, BelongsOnBaseHostAddress VARCHAR(MAX)) CREATE TABLE Votes (Id NUMERIC, PostId NUMERIC, VoteTypeId NUMERIC, UserId NUMERIC, CreationDate TIME, BountyAmount NUMERIC) CREATE TABLE FlagTypes (Id NUMERIC, Name VARCHAR(MAX), Description 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 Tags (Id NUMERIC, TagName VARCHAR(MAX), Count NUMERIC, ExcerptPostId NUMERIC, WikiPostId 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 Badges (Id NUMERIC, UserId NUMERIC, Name VARCHAR(MAX), Date TIME, Class NUMERIC, TagBased BIT) 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 PostLinks (Id NUMERIC, CreationDate TIME, PostId NUMERIC, RelatedPostId NUMERIC, LinkTypeId NUMERIC) CREATE TABLE ReviewTaskStates (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE PostNoticeTypes (Id NUMERIC, ClassId NUMERIC, Name VARCHAR(MAX), Body VARCHAR(MAX), IsHidden BIT, Predefined BIT, PostNoticeDurationId NUMERIC) CREATE TABLE ReviewTaskResults (Id NUMERIC, ReviewTaskId NUMERIC, ReviewTaskResultTypeId NUMERIC, CreationDate TIME, RejectionReasonId NUMERIC, Comment VARCHAR(MAX)) CREATE TABLE PostHistoryTypes (Id NUMERIC, Name VARCHAR(MAX)) CREATE TABLE ReviewTaskTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE VoteTypes (Id NUMERIC, Name VARCHAR(MAX)) 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 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 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 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 PostTypes (Id NUMERIC, Name 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 PostFeedback (Id NUMERIC, PostId NUMERIC, IsAnonymous BIT, VoteTypeId NUMERIC, CreationDate TIME) CREATE TABLE ReviewTaskResultTypes (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 ReviewRejectionReasons (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX), PostTypeId NUMERIC) CREATE TABLE SuggestedEditVotes (Id NUMERIC, SuggestedEditId NUMERIC, UserId NUMERIC, VoteTypeId NUMERIC, CreationDate TIME, TargetUserId NUMERIC, TargetRepChange NUMERIC) 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)

Answers per day for a particular user.

SELECT TIME_TO_STR(CreationDate, '%d') AS "day", COUNT(Id) AS "count" FROM Posts WHERE PostTypeId = 2 AND OwnerUserId = '##UserID:int##' AND TIME_TO_STR(CreationDate, '%Y') = '##Year:int##' AND TIME_TO_STR(CreationDate, '%M') = '##Month:int##' AND CommunityOwnedDate IS NULL GROUP BY TIME_TO_STR(CreationDate, '%d') ORDER BY TIME_TO_STR(CreationDate, '%d')

SELECT FORMAT([CreationDate], 'dd') AS [day], COUNT([Id]) AS [count] FROM [Posts] WHERE [CommunityOwnedDate] IS NULL AND [OwnerUserId] = '##UserID:int##' AND [PostTypeId] = 2 AND FORMAT([CreationDate], 'mm') = '##Month:int##' AND FORMAT([CreationDate], 'yyyy') = '##Year:int##' GROUP BY FORMAT([CreationDate], 'dd') ORDER BY FORMAT([CreationDate], 'dd')

CREATE TABLE table_72692 ([Date] VARCHAR(MAX), [Cover model] VARCHAR(MAX), [Centerfold model] VARCHAR(MAX), [Interview subject] VARCHAR(MAX), [20 Questions] VARCHAR(MAX), [Pictorials] VARCHAR(MAX))

When was the Kymberly Paige the Centerfold?

SELECT "Date" FROM table_72692 WHERE "Centerfold model" = 'Kymberly Paige'

SELECT [Date] FROM [table_72692] WHERE [Centerfold model] = 'Kymberly Paige'

CREATE TABLE table_name_75 (incumbent VARCHAR, district VARCHAR, results VARCHAR, party VARCHAR)

What is Incumbent, when Results is 'Re-Elected', when Party is 'Democratic', and when District is 'Minnesota 7'?

SELECT incumbent FROM table_name_75 WHERE results = "re-elected" AND party = "democratic" AND district = "minnesota 7"

SELECT [incumbent] FROM [table_name_75] WHERE [democratic] = [party] AND [district] = [minnesota 7] AND [re-elected] = [results]

CREATE TABLE table_name_99 (record VARCHAR, year VARCHAR)

What's the record during 1925?

SELECT record FROM table_name_99 WHERE year = 1925

SELECT [record] FROM [table_name_99] WHERE [year] = 1925

CREATE TABLE table_66212 ([Rank] FLOAT, [Athlete] VARCHAR(MAX), [Country] VARCHAR(MAX), [Time] VARCHAR(MAX), [Notes] VARCHAR(MAX))

what is the country for fabiana beltrame?

SELECT "Country" FROM table_66212 WHERE "Athlete" = 'fabiana beltrame'

SELECT [Country] FROM [table_66212] WHERE [Athlete] = 'fabiana beltrame'

CREATE TABLE table_17605 ([#] FLOAT, [Nation] VARCHAR(MAX), [Winners] FLOAT, [Runners-up] FLOAT, [3rd Place] FLOAT, [4th Place] FLOAT)

how many maximum winners

SELECT MAX("Winners") FROM table_17605

SELECT MAX([Winners]) FROM [table_17605]

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 departments (DEPARTMENT_ID NUMERIC, DEPARTMENT_NAME VARCHAR, MANAGER_ID NUMERIC, LOCATION_ID NUMERIC) CREATE TABLE regions (REGION_ID NUMERIC, REGION_NAME VARCHAR) CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_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 jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY NUMERIC, MAX_SALARY 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, draw a bar chart about the distribution of hire_date and the average of employee_id bin hire_date by weekday.

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

SELECT [HIRE_DATE], AVG([EMPLOYEE_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_name_77 (overall INTEGER, pick__number VARCHAR, name VARCHAR)

What is the average overall of Ken Whisenhunt, who has a pick # of 5?

SELECT AVG(overall) FROM table_name_77 WHERE pick__number = 5 AND name = "ken whisenhunt"

SELECT AVG([overall]) FROM [table_name_77] WHERE [ken whisenhunt] = [name] AND [pick__number] = 5

CREATE TABLE table_name_4 (total INTEGER, nation VARCHAR, bronze VARCHAR)

Which Total has a Nation of united states, and a Bronze larger than 3?

SELECT MAX(total) FROM table_name_4 WHERE nation = "united states" AND bronze > 3

SELECT MAX([total]) FROM [table_name_4] WHERE [bronze] > 3 AND [nation] = [united states]

CREATE TABLE d_items (row_id NUMERIC, itemid NUMERIC, label VARCHAR(MAX), linksto VARCHAR(MAX)) CREATE TABLE d_icd_procedures (row_id NUMERIC, icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE d_icd_diagnoses (row_id NUMERIC, icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE outputevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, charttime TIME, itemid NUMERIC, value NUMERIC) CREATE TABLE procedures_icd (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icd9_code VARCHAR(MAX), charttime TIME) 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 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 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 diagnoses_icd (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icd9_code VARCHAR(MAX), charttime 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 d_labitems (row_id NUMERIC, itemid NUMERIC, label 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 cost (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, event_type VARCHAR(MAX), event_id NUMERIC, chargetime TIME, cost NUMERIC) CREATE TABLE patients (row_id NUMERIC, subject_id NUMERIC, gender VARCHAR(MAX), dob TIME, dod 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 inputevents_cv (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, charttime TIME, itemid NUMERIC, amount NUMERIC) CREATE TABLE labevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, itemid NUMERIC, charttime TIME, valuenum NUMERIC, valueuom VARCHAR(MAX))

what were the four most commonly ordered procedures for patients of the age of 20s?

SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM procedures_icd WHERE procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.age BETWEEN 20 AND 29) GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 <= 4)

WITH [_u_0] AS (SELECT [admissions].[hadm_id] AS [hadm_id] FROM [admissions] WHERE [admissions].[age] <= 29 AND [admissions].[age] >= 20 GROUP BY [hadm_id]), [t1] AS (SELECT [procedures_icd].[icd9_code] AS [icd9_code], DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS [c1] FROM [procedures_icd] LEFT JOIN [_u_0] AS [_u_0] ON [_u_0].[] = [procedures_icd].[hadm_id] WHERE NOT [_u_0].[] IS NULL GROUP BY [procedures_icd].[icd9_code]), [_u_1] AS (SELECT [t1].[icd9_code] AS [icd9_code] FROM [t1] AS [t1] WHERE [t1].[c1] <= 4 GROUP BY [icd9_code]) SELECT [d_icd_procedures].[short_title] FROM [d_icd_procedures] LEFT JOIN [_u_1] AS [_u_1] ON [_u_1].[] = [d_icd_procedures].[icd9_code] WHERE NOT [_u_1].[] IS NULL

CREATE TABLE music_festival (Date_of_ceremony VARCHAR, Category VARCHAR, RESULT VARCHAR)

What are the date of ceremony of music festivals with category 'Best Song' and result 'Awarded'?

SELECT Date_of_ceremony FROM music_festival WHERE Category = "Best Song" AND RESULT = "Awarded"

SELECT [Date_of_ceremony] FROM [music_festival] WHERE [Awarded] = [RESULT] AND [Best Song] = [Category]

CREATE TABLE Products (Code INTEGER, Name VARCHAR, Price NUMERIC, Manufacturer INTEGER) CREATE TABLE Manufacturers (Code INTEGER, Name VARCHAR, Headquarter VARCHAR, Founder VARCHAR, Revenue FLOAT)

For those records from the products and each product's manufacturer, return a bar chart about the distribution of name and revenue , and group by attribute founder, order in ascending by the X-axis.

SELECT T1.Name, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Founder, T1.Name ORDER BY T1.Name

SELECT [T1].[name], [T2].[revenue] FROM [Products] AS [T1] JOIN [Manufacturers] AS [T2] ON [T1].[manufacturer] = [T2].[code] GROUP BY [Founder], [T1].[name] ORDER BY [T1].[name]

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 diagnosis (diagnosisid NUMERIC, patientunitstayid NUMERIC, diagnosisname VARCHAR(MAX), diagnosistime TIME, icd9code VARCHAR(MAX)) 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 vitalperiodic (vitalperiodicid NUMERIC, patientunitstayid NUMERIC, temperature NUMERIC, sao2 NUMERIC, heartrate NUMERIC, respiration NUMERIC, systemicsystolic NUMERIC, systemicdiastolic NUMERIC, systemicmean NUMERIC, observationtime TIME) CREATE TABLE treatment (treatmentid NUMERIC, patientunitstayid NUMERIC, treatmentname VARCHAR(MAX), treatmenttime TIME) CREATE TABLE allergy (allergyid NUMERIC, patientunitstayid NUMERIC, drugname VARCHAR(MAX), allergyname VARCHAR(MAX), allergytime TIME) CREATE TABLE microlab (microlabid NUMERIC, patientunitstayid NUMERIC, culturesite VARCHAR(MAX), organism VARCHAR(MAX), culturetakentime TIME) CREATE TABLE lab (labid NUMERIC, patientunitstayid NUMERIC, labname VARCHAR(MAX), labresult NUMERIC, labresulttime TIME) CREATE TABLE medication (medicationid NUMERIC, patientunitstayid NUMERIC, drugname VARCHAR(MAX), dosage VARCHAR(MAX), routeadmin VARCHAR(MAX), drugstarttime TIME, drugstoptime TIME)

when was the last time patient 002-62161 was measured sao2 greater than 97.0 on the last intensive care unit visit?

SELECT vitalperiodic.observationtime FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '002-62161') AND NOT patient.unitdischargetime IS NULL ORDER BY patient.unitadmittime DESC LIMIT 1) AND vitalperiodic.sao2 > 97.0 AND NOT vitalperiodic.sao2 IS NULL ORDER BY vitalperiodic.observationtime DESC LIMIT 1

WITH [_u_0] AS (SELECT [patient].[patienthealthsystemstayid] AS [patienthealthsystemstayid] FROM [patient] WHERE [patient].[uniquepid] = '002-62161' GROUP BY [patienthealthsystemstayid]) SELECT TOP 1 [vitalperiodic].[observationtime] FROM [vitalperiodic] WHERE [vitalperiodic].[patientunitstayid] IN (SELECT TOP 1 [patient].[patientunitstayid] FROM [patient] LEFT JOIN [_u_0] AS [_u_0] ON [_u_0].[] = [patient].[patienthealthsystemstayid] WHERE NOT [_u_0].[] IS NULL AND NOT [patient].[unitdischargetime] IS NULL ORDER BY [patient].[unitadmittime] DESC) AND [vitalperiodic].[sao2] > 97.0 AND NOT [vitalperiodic].[sao2] IS NULL ORDER BY [vitalperiodic].[observationtime] DESC

CREATE TABLE table_1890 ([No. in series] FLOAT, [Title] VARCHAR(MAX), [Directed by] VARCHAR(MAX), [Written by] VARCHAR(MAX), [Original air date] VARCHAR(MAX), [Production code] VARCHAR(MAX), [U.S. viewers ( million ) ] VARCHAR(MAX))

Name the title for production code 2t6908

SELECT "Title" FROM table_1890 WHERE "Production code" = '2T6908'

SELECT [Title] FROM [table_1890] WHERE [Production code] = '2T6908'

CREATE TABLE table_name_54 (date VARCHAR, home_team VARCHAR)

What was the date of the game when Hawthorn was the home team?

SELECT date FROM table_name_54 WHERE home_team = "hawthorn"

SELECT [date] FROM [table_name_54] WHERE [hawthorn] = [home_team]

CREATE TABLE table_2528 ([Outcome] VARCHAR(MAX), [Year] FLOAT, [Championship] VARCHAR(MAX), [Surface] VARCHAR(MAX), [Partner] VARCHAR(MAX), [Opponents in the final] VARCHAR(MAX), [Score in the final] VARCHAR(MAX))

In what year was the partner Wesley Moodie?

SELECT MAX("Year") FROM table_2528 WHERE "Partner" = 'Wesley Moodie'

SELECT MAX([Year]) FROM [table_2528] WHERE [Partner] = 'Wesley Moodie'

CREATE TABLE table_1342198_25 (district VARCHAR, party VARCHAR)

What is the district with Republican party in place?

SELECT district FROM table_1342198_25 WHERE party = "Republican"

SELECT [district] FROM [table_1342198_25] WHERE [Republican] = [party]

CREATE TABLE d_icd_procedures (row_id NUMERIC, icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE d_icd_diagnoses (row_id NUMERIC, icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) 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 procedures_icd (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icd9_code VARCHAR(MAX), charttime TIME) CREATE TABLE outputevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, charttime TIME, itemid NUMERIC, value 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 chartevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, itemid NUMERIC, charttime TIME, valuenum NUMERIC, valueuom VARCHAR(MAX)) CREATE TABLE d_items (row_id NUMERIC, itemid NUMERIC, label VARCHAR(MAX), linksto VARCHAR(MAX)) CREATE TABLE inputevents_cv (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, charttime TIME, itemid NUMERIC, amount NUMERIC) 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 patients (row_id NUMERIC, subject_id NUMERIC, gender VARCHAR(MAX), dob TIME, dod TIME) CREATE TABLE diagnoses_icd (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icd9_code VARCHAR(MAX), charttime TIME) 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 cost (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, event_type VARCHAR(MAX), event_id NUMERIC, chargetime TIME, cost NUMERIC) CREATE TABLE d_labitems (row_id NUMERIC, itemid NUMERIC, label 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)

have tf residual ever been given on the last icu visit to patient 9241?

SELECT COUNT(*) > 0 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 = 9241) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime DESC LIMIT 1) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'tf residual' AND d_items.linksto = 'inputevents_cv')

WITH [_u_0] AS (SELECT [admissions].[hadm_id] AS [hadm_id] FROM [admissions] WHERE [admissions].[subject_id] = 9241 GROUP BY [hadm_id]), [_u_2] AS (SELECT [d_items].[itemid] AS [itemid] FROM [d_items] WHERE [d_items].[label] = 'tf residual' AND [d_items].[linksto] = 'inputevents_cv' GROUP BY [itemid]) SELECT COUNT(*) > 0 FROM [inputevents_cv] LEFT JOIN [_u_2] AS [_u_2] ON [_u_2].[] = [inputevents_cv].[itemid] WHERE [inputevents_cv].[icustay_id] IN (SELECT TOP 1 [icustays].[icustay_id] FROM [icustays] LEFT JOIN [_u_0] AS [_u_0] ON [_u_0].[] = [icustays].[hadm_id] WHERE NOT [_u_0].[] IS NULL AND NOT [icustays].[outtime] IS NULL ORDER BY [icustays].[intime] DESC) AND NOT [_u_2].[] IS NULL

CREATE TABLE people (People_ID INTEGER, Sex VARCHAR(MAX), Name VARCHAR(MAX), Date_of_Birth VARCHAR(MAX), Height FLOAT, Weight FLOAT) CREATE TABLE candidate (Candidate_ID INTEGER, People_ID INTEGER, Poll_Source VARCHAR(MAX), Date VARCHAR(MAX), Support_rate FLOAT, Consider_rate FLOAT, Oppose_rate FLOAT, Unsure_rate FLOAT)

Give me the comparison about the sum of Weight over the Sex , and group by attribute Sex, and could you show Sex in desc order?

SELECT Sex, SUM(Weight) FROM people GROUP BY Sex ORDER BY Sex DESC

SELECT [Sex], SUM([Weight]) FROM [people] GROUP BY [Sex] ORDER BY [Sex] DESC

CREATE TABLE d_labitems (row_id NUMERIC, itemid NUMERIC, label VARCHAR(MAX)) CREATE TABLE d_icd_procedures (row_id NUMERIC, icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE diagnoses_icd (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icd9_code VARCHAR(MAX), charttime TIME) CREATE TABLE procedures_icd (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icd9_code VARCHAR(MAX), charttime TIME) CREATE TABLE labevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, itemid NUMERIC, charttime TIME, valuenum NUMERIC, valueuom 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 d_icd_diagnoses (row_id NUMERIC, icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) 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 inputevents_cv (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, charttime TIME, itemid NUMERIC, amount NUMERIC) 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 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 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 patients (row_id NUMERIC, subject_id NUMERIC, gender VARCHAR(MAX), dob TIME, dod TIME) CREATE TABLE d_items (row_id NUMERIC, itemid NUMERIC, label VARCHAR(MAX), linksto 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))

what was the name of the output the last time patient 99647 had on the first intensive care unit visit?

SELECT d_items.label FROM d_items WHERE d_items.itemid IN (SELECT outputevents.itemid FROM outputevents WHERE outputevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 99647) AND NOT icustays.outtime IS NULL ORDER BY icustays.intime LIMIT 1) ORDER BY outputevents.charttime DESC LIMIT 1)

WITH [_u_0] AS (SELECT [admissions].[hadm_id] AS [hadm_id] FROM [admissions] WHERE [admissions].[subject_id] = 99647 GROUP BY [hadm_id]) SELECT [d_items].[label] FROM [d_items] WHERE [d_items].[itemid] IN (SELECT TOP 1 [outputevents].[itemid] FROM [outputevents] WHERE [outputevents].[icustay_id] IN (SELECT TOP 1 [icustays].[icustay_id] FROM [icustays] LEFT JOIN [_u_0] AS [_u_0] ON [_u_0].[] = [icustays].[hadm_id] WHERE NOT [_u_0].[] IS NULL AND NOT [icustays].[outtime] IS NULL ORDER BY [icustays].[intime]) ORDER BY [outputevents].[charttime] DESC)

CREATE TABLE trip (id INTEGER, duration INTEGER, start_date VARCHAR(MAX), start_station_name VARCHAR(MAX), start_station_id INTEGER, end_date VARCHAR(MAX), end_station_name VARCHAR(MAX), end_station_id INTEGER, bike_id INTEGER, subscription_type VARCHAR(MAX), zip_code INTEGER) CREATE TABLE status (station_id INTEGER, bikes_available INTEGER, docks_available INTEGER, time VARCHAR(MAX)) CREATE TABLE weather (date VARCHAR(MAX), max_temperature_f INTEGER, mean_temperature_f INTEGER, min_temperature_f INTEGER, max_dew_point_f INTEGER, mean_dew_point_f INTEGER, min_dew_point_f INTEGER, max_humidity INTEGER, mean_humidity INTEGER, min_humidity INTEGER, max_sea_level_pressure_inches NUMERIC, mean_sea_level_pressure_inches NUMERIC, min_sea_level_pressure_inches NUMERIC, max_visibility_miles INTEGER, mean_visibility_miles INTEGER, min_visibility_miles INTEGER, max_wind_Speed_mph INTEGER, mean_wind_speed_mph INTEGER, max_gust_speed_mph INTEGER, precipitation_inches INTEGER, cloud_cover INTEGER, events VARCHAR(MAX), wind_dir_degrees INTEGER, zip_code INTEGER) CREATE TABLE station (id INTEGER, name VARCHAR(MAX), lat NUMERIC, long NUMERIC, dock_count INTEGER, city VARCHAR(MAX), installation_date VARCHAR(MAX))

Show me the correlation about what are the ids of the trips that lasted the longest and how long did they last?

SELECT id, duration FROM trip ORDER BY duration DESC LIMIT 3

SELECT TOP 3 [id], [duration] FROM [trip] ORDER BY [duration] DESC

CREATE TABLE table_name_22 (president VARCHAR, date VARCHAR, year VARCHAR, location VARCHAR, type VARCHAR)

What is the President with a Location of justus lipsius building, brussels, and a Type with scheduled, and a Year larger than 2011, and a Date with 18 19 october?

SELECT president FROM table_name_22 WHERE location = "justus lipsius building, brussels" AND type = "scheduled" AND year > 2011 AND date = "18–19 october"

SELECT [president] FROM [table_name_22] WHERE [18–19 october] = [date] AND [justus lipsius building, brussels] = [location] AND [scheduled] = [type] AND [year] > 2011

CREATE TABLE table_name_20 (longitude VARCHAR, geo_id VARCHAR, ansi_code VARCHAR, water__sqmi_ VARCHAR)

What is the longitude for the Township that has a ANSI code less than 1036534, a water (sqmi) of 0, and a GEO ID greater than 3809959540?

SELECT COUNT(longitude) FROM table_name_20 WHERE ansi_code < 1036534 AND water__sqmi_ = 0 AND geo_id > 3809959540

SELECT COUNT([longitude]) FROM [table_name_20] WHERE [ansi_code] < 1036534 AND [geo_id] > 3809959540 AND [water__sqmi_] = 0

CREATE TABLE table_204_544 (id NUMERIC, [rank] NUMERIC, [name] VARCHAR(MAX), [nationality] VARCHAR(MAX), [time] VARCHAR(MAX), [notes] VARCHAR(MAX))

in the 2002 pan pacific swimming championships women 's 100 metre backstroke , how many swimmers finished above japan 's aya terakawa in the ranking ?

SELECT COUNT("name") FROM table_204_544 WHERE "rank" < (SELECT "rank" FROM table_204_544 WHERE "name" = 'aya terakawa')

SELECT COUNT([name]) FROM [table_204_544] WHERE [rank] < (SELECT [rank] FROM [table_204_544] WHERE [name] = 'aya terakawa')

CREATE TABLE table_3130 ([No.] FLOAT, [Date] VARCHAR(MAX), [Tournament] VARCHAR(MAX), [Winning score] VARCHAR(MAX), [To par] VARCHAR(MAX), [Margin of victory] VARCHAR(MAX), [Runner ( s ) -up] VARCHAR(MAX))

What were the shots below par when the winning score was 69-66-69-64=268?

SELECT "To par" FROM table_3130 WHERE "Winning score" = '69-66-69-64=268'

SELECT [To par] FROM [table_3130] WHERE [Winning score] = '69-66-69-64=268'

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 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 procedures (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX))

what is age and death status of subject name lue white?

SELECT demographic.age, demographic.expire_flag FROM demographic WHERE demographic.name = "Lue White"

SELECT [demographic].[age], [demographic].[expire_flag] FROM [demographic] WHERE [Lue White] = [demographic].[name]

CREATE TABLE church (church_id NUMERIC, name VARCHAR(MAX), organized_by VARCHAR(MAX), open_date NUMERIC, continuation_of VARCHAR(MAX)) CREATE TABLE wedding (church_id NUMERIC, male_id NUMERIC, female_id NUMERIC, year NUMERIC) CREATE TABLE people (people_id NUMERIC, name VARCHAR(MAX), country VARCHAR(MAX), is_male VARCHAR(MAX), age NUMERIC)

How many female people are older than 30 in our record?

SELECT COUNT(*) FROM people WHERE is_male = 'F' AND age > 30

SELECT COUNT(*) FROM [people] WHERE [age] > 30 AND [is_male] = 'F'

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 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 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))

mention the language of subject name stephanie suchan.

SELECT demographic.language FROM demographic WHERE demographic.name = "Stephanie Suchan"

SELECT [demographic].[language] FROM [demographic] WHERE [Stephanie Suchan] = [demographic].[name]

CREATE TABLE table_47914 ([Game] FLOAT, [Date] VARCHAR(MAX), [Opponent] VARCHAR(MAX), [Score/Time] VARCHAR(MAX), [High points] VARCHAR(MAX), [High rebounds] VARCHAR(MAX), [High assists] VARCHAR(MAX), [Arena/Attendance] VARCHAR(MAX), [Record] VARCHAR(MAX))

What was the date of game 21?

SELECT "Date" FROM table_47914 WHERE "Game" = '21'

SELECT [Date] FROM [table_47914] WHERE [Game] = '21'

CREATE TABLE table_name_31 (overs VARCHAR, ground VARCHAR, opponent VARCHAR)

How many overs occurred at Waca Ground against Queensland?

SELECT overs FROM table_name_31 WHERE ground = "waca ground" AND opponent = "queensland"

SELECT [overs] FROM [table_name_31] WHERE [ground] = [waca ground] AND [opponent] = [queensland]

CREATE TABLE table_39450 ([PRINT NAME] VARCHAR(MAX), [NICKNAME] VARCHAR(MAX), [NUMBER OF COLORS] VARCHAR(MAX), [FRAMED SIZE] VARCHAR(MAX), [DATE COMPLETED] VARCHAR(MAX))

When was the Little Tavern completed?

SELECT "DATE COMPLETED" FROM table_39450 WHERE "NICKNAME" = 'little tavern'

SELECT [DATE COMPLETED] FROM [table_39450] WHERE [NICKNAME] = 'little tavern'

CREATE TABLE table_name_79 (avg_g INTEGER, name VARCHAR, long VARCHAR)

What is the amount of Avg/G with a Name of blaine gabbert and a Long greater than 30?

SELECT SUM(avg_g) FROM table_name_79 WHERE name = "blaine gabbert" AND long > 30

SELECT SUM([avg_g]) FROM [table_name_79] WHERE [blaine gabbert] = [name] AND [long] > 30

CREATE TABLE table_5360 ([Player] VARCHAR(MAX), [Touchdowns] FLOAT, [Extra points] FLOAT, [Field goals] FLOAT, [Points] FLOAT)

What Player has less than 10 Touchdowns and 0 Extra points and more than 5 Points?

SELECT "Player" FROM table_5360 WHERE "Touchdowns" < '10' AND "Extra points" = '0' AND "Points" > '5'

SELECT [Player] FROM [table_5360] WHERE [Extra points] = '0' AND [Points] > '5' AND [Touchdowns] < '10'

CREATE TABLE table_name_37 (avoirdupois_value VARCHAR, russian VARCHAR)

What Avoirdupois value has a Russian of ?

SELECT avoirdupois_value FROM table_name_37 WHERE russian = "берковец"

SELECT [avoirdupois_value] FROM [table_name_37] WHERE [russian] = [берковец]

CREATE TABLE head (head_ID INTEGER, name VARCHAR(MAX), born_state VARCHAR(MAX), age FLOAT) CREATE TABLE department (Department_ID INTEGER, Name VARCHAR(MAX), Creation VARCHAR(MAX), Ranking INTEGER, Budget_in_Billions FLOAT, Num_Employees FLOAT) CREATE TABLE management (department_ID INTEGER, head_ID INTEGER, temporary_acting VARCHAR(MAX))

Show sum of budget in different year and group by department creation time with a line chart, and order x axis from high to low order.

SELECT Creation, SUM(Budget_in_Billions) FROM department GROUP BY Creation ORDER BY Creation DESC

SELECT [Creation], SUM([Budget_in_Billions]) FROM [department] GROUP BY [Creation] ORDER BY [Creation] DESC

CREATE TABLE city (City_ID INTEGER, County_ID INTEGER, Name VARCHAR(MAX), White FLOAT, Black FLOAT, Amerindian FLOAT, Asian FLOAT, Multiracial FLOAT, Hispanic FLOAT) CREATE TABLE county_public_safety (County_ID INTEGER, Name VARCHAR(MAX), Population INTEGER, Police_officers INTEGER, Residents_per_officer INTEGER, Case_burden INTEGER, Crime_rate FLOAT, Police_force VARCHAR(MAX), Location VARCHAR(MAX))

How many counties correspond to each police force, display y axis in desc order.

SELECT Police_force, COUNT(*) FROM county_public_safety GROUP BY Police_force ORDER BY COUNT(*) DESC

SELECT [Police_force], COUNT(*) FROM [county_public_safety] GROUP BY [Police_force] ORDER BY COUNT(*) DESC

CREATE TABLE table_203_416 (id NUMERIC, [school name] VARCHAR(MAX), [city] VARCHAR(MAX), [grades] VARCHAR(MAX), [establishment] NUMERIC, [charter] VARCHAR(MAX))

which public middle school in hawaii was established most closely after washington middle school ?

SELECT "school name" FROM table_203_416 WHERE "establishment" > (SELECT "establishment" FROM table_203_416 WHERE "school name" = 'washington middle school') ORDER BY "establishment" LIMIT 1

SELECT TOP 1 [school name] FROM [table_203_416] WHERE [establishment] > (SELECT [establishment] FROM [table_203_416] WHERE [school name] = 'washington middle school') ORDER BY [establishment]

CREATE TABLE table_22809 ([Episode title] VARCHAR(MAX), [Subject] VARCHAR(MAX), [Music by] VARCHAR(MAX), [Performed by] VARCHAR(MAX), [First aired] FLOAT)

When zachary sanders is the performer what is the lowerst first aired?

SELECT MIN("First aired") FROM table_22809 WHERE "Performed by" = 'Zachary Sanders'

SELECT MIN([First aired]) FROM [table_22809] WHERE [Performed by] = 'Zachary Sanders'

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

For those employees who did not have any job in the past, visualize a bar chart about the distribution of hire_date and the sum of department_id bin hire_date by weekday, I want to display by the sum department id in descending please.

SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY SUM(DEPARTMENT_ID) DESC

SELECT [HIRE_DATE], SUM([DEPARTMENT_ID]) FROM [employees] WHERE NOT [EMPLOYEE_ID] IN (SELECT [EMPLOYEE_ID] FROM [job_history]) ORDER BY SUM([DEPARTMENT_ID]) DESC

CREATE TABLE ReviewTaskStates (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 PostTypes (Id NUMERIC, Name VARCHAR(MAX)) CREATE TABLE PostTags (PostId NUMERIC, TagId NUMERIC) 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 ReviewTaskResults (Id NUMERIC, ReviewTaskId NUMERIC, ReviewTaskResultTypeId NUMERIC, CreationDate TIME, RejectionReasonId NUMERIC, Comment VARCHAR(MAX)) CREATE TABLE PostHistoryTypes (Id NUMERIC, Name VARCHAR(MAX)) CREATE TABLE PendingFlags (Id NUMERIC, FlagTypeId NUMERIC, PostId NUMERIC, CreationDate TIME, CloseReasonTypeId NUMERIC, CloseAsOffTopicReasonTypeId NUMERIC, DuplicateOfQuestionId NUMERIC, BelongsOnBaseHostAddress VARCHAR(MAX)) CREATE TABLE Votes (Id NUMERIC, PostId NUMERIC, VoteTypeId NUMERIC, UserId NUMERIC, CreationDate TIME, BountyAmount NUMERIC) CREATE TABLE SuggestedEditVotes (Id NUMERIC, SuggestedEditId NUMERIC, UserId NUMERIC, VoteTypeId NUMERIC, CreationDate TIME, TargetUserId NUMERIC, TargetRepChange 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 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 ReviewTasks (Id NUMERIC, ReviewTaskTypeId NUMERIC, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMERIC, PostId NUMERIC, SuggestedEditId NUMERIC, CompletedByReviewTaskId NUMERIC) CREATE TABLE PostFeedback (Id NUMERIC, PostId NUMERIC, IsAnonymous BIT, VoteTypeId NUMERIC, CreationDate TIME) 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 PostNoticeTypes (Id NUMERIC, ClassId NUMERIC, Name VARCHAR(MAX), Body VARCHAR(MAX), IsHidden BIT, Predefined BIT, PostNoticeDurationId 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 FlagTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE Tags (Id NUMERIC, TagName VARCHAR(MAX), Count NUMERIC, ExcerptPostId NUMERIC, WikiPostId NUMERIC) CREATE TABLE ReviewTaskTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE PostLinks (Id NUMERIC, CreationDate TIME, PostId NUMERIC, RelatedPostId NUMERIC, LinkTypeId NUMERIC) 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 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 Badges (Id NUMERIC, UserId NUMERIC, Name VARCHAR(MAX), Date TIME, Class NUMERIC, TagBased BIT) CREATE TABLE VoteTypes (Id NUMERIC, Name VARCHAR(MAX))

apex engineers that answered questions.

SELECT DISTINCT u.DisplayName, CONCAT('https://stackoverflow.com/users/', u.Id) AS "profile_link", u.Location, u.AboutMe, u.Reputation FROM Users AS u, Posts AS q, Posts AS a WHERE u.Id = a.OwnerUserId AND a.ParentId = q.Id AND a.PostTypeId = 2 AND u.AboutMe LIKE '%Oracle%apex%' AND q.PostTypeId = 1 AND (LOWER(u.Location) LIKE '%usa%' OR LOWER(u.Location) LIKE '%united states%' OR LOWER(u.Location) LIKE '%ca%' OR LOWER(u.Location) LIKE '%india%') ORDER BY u.Reputation DESC

SELECT DISTINCT [u].[displayname], CONCAT('https://stackoverflow.com/users/', [u].[id]) AS [profile_link], [u].[location], [u].[aboutme], [u].[reputation] FROM [Users] AS [u] JOIN [Posts] AS [a] ON [a].[owneruserid] = [u].[id] AND [a].[posttypeid] = 2 JOIN [Posts] AS [q] ON [a].[parentid] = [q].[id] AND [q].[posttypeid] = 1 WHERE [u].[aboutme] LIKE '%Oracle%apex%' AND (LOWER([u].[location]) LIKE '%ca%' OR LOWER([u].[location]) LIKE '%india%' OR LOWER([u].[location]) LIKE '%united states%' OR LOWER([u].[location]) LIKE '%usa%') ORDER BY [u].[reputation] DESC

CREATE TABLE allergy_type (allergy VARCHAR(MAX), allergytype VARCHAR(MAX)) CREATE TABLE has_allergy (stuid NUMERIC, allergy VARCHAR(MAX)) CREATE TABLE student (stuid NUMERIC, lname VARCHAR(MAX), fname VARCHAR(MAX), age NUMERIC, sex VARCHAR(MAX), major NUMERIC, advisor NUMERIC, city_code VARCHAR(MAX))

Which allergy has most number of students affected?

SELECT allergy FROM has_allergy GROUP BY allergy ORDER BY COUNT(*) DESC LIMIT 1

SELECT TOP 1 [allergy] FROM [has_allergy] GROUP BY [allergy] ORDER BY COUNT(*) DESC

CREATE TABLE PostTags (PostId NUMERIC, TagId NUMERIC) CREATE TABLE ReviewTaskTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE PostFeedback (Id NUMERIC, PostId NUMERIC, IsAnonymous BIT, VoteTypeId NUMERIC, CreationDate TIME) 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 PostTypes (Id NUMERIC, Name VARCHAR(MAX)) CREATE TABLE Comments (Id NUMERIC, PostId NUMERIC, Score NUMERIC, Text VARCHAR(MAX), CreationDate TIME, UserDisplayName VARCHAR(MAX), UserId NUMERIC, ContentLicense VARCHAR(MAX)) CREATE TABLE ReviewTaskStates (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE PendingFlags (Id NUMERIC, FlagTypeId NUMERIC, PostId NUMERIC, CreationDate TIME, CloseReasonTypeId NUMERIC, CloseAsOffTopicReasonTypeId NUMERIC, DuplicateOfQuestionId NUMERIC, BelongsOnBaseHostAddress VARCHAR(MAX)) CREATE TABLE PostHistoryTypes (Id NUMERIC, Name 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 SuggestedEditVotes (Id NUMERIC, SuggestedEditId NUMERIC, UserId NUMERIC, VoteTypeId NUMERIC, CreationDate TIME, TargetUserId NUMERIC, TargetRepChange 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 PostNoticeTypes (Id NUMERIC, ClassId NUMERIC, Name VARCHAR(MAX), Body VARCHAR(MAX), IsHidden BIT, Predefined BIT, PostNoticeDurationId NUMERIC) 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 ReviewTasks (Id NUMERIC, ReviewTaskTypeId NUMERIC, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMERIC, PostId NUMERIC, SuggestedEditId NUMERIC, CompletedByReviewTaskId NUMERIC) CREATE TABLE Tags (Id NUMERIC, TagName VARCHAR(MAX), Count NUMERIC, ExcerptPostId NUMERIC, WikiPostId NUMERIC) CREATE TABLE ReviewTaskResults (Id NUMERIC, ReviewTaskId NUMERIC, ReviewTaskResultTypeId NUMERIC, CreationDate TIME, RejectionReasonId NUMERIC, Comment VARCHAR(MAX)) CREATE TABLE PostNotices (Id NUMERIC, PostId NUMERIC, PostNoticeTypeId NUMERIC, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body VARCHAR(MAX), OwnerUserId NUMERIC, DeletionUserId NUMERIC) CREATE TABLE VoteTypes (Id NUMERIC, Name 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 ReviewRejectionReasons (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX), PostTypeId NUMERIC) CREATE TABLE CloseReasonTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE ReviewTaskResultTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE FlagTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) 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 Votes (Id NUMERIC, PostId NUMERIC, VoteTypeId NUMERIC, UserId NUMERIC, CreationDate TIME, BountyAmount NUMERIC) CREATE TABLE PostLinks (Id NUMERIC, CreationDate TIME, PostId NUMERIC, RelatedPostId NUMERIC, LinkTypeId 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 Badges (Id NUMERIC, UserId NUMERIC, Name VARCHAR(MAX), Date TIME, Class NUMERIC, TagBased BIT)

Number of questions concerning power apps development.

SELECT COUNT(*) FROM Posts WHERE Id IN (SELECT DISTINCT (PostId) FROM PostTags WHERE TagId IN (SELECT Id FROM Tags WHERE TagName LIKE '%powerapps%'))

SELECT COUNT(*) FROM [Posts] WHERE [Id] IN (SELECT DISTINCT [PostId] FROM [PostTags] WHERE [TagId] IN (SELECT [Id] FROM [Tags] WHERE [TagName] LIKE '%powerapps%'))

CREATE TABLE table_61102 ([Rider] VARCHAR(MAX), [Bike] VARCHAR(MAX), [Laps] FLOAT, [Time] VARCHAR(MAX), [Grid] FLOAT)

Who was the rider who went 14 laps on a Honda CBR1000rr, with a time of +1'04.877 on a grid larger than 23?

SELECT "Rider" FROM table_61102 WHERE "Laps" = '14' AND "Grid" > '23' AND "Bike" = 'honda cbr1000rr' AND "Time" = '+1''04.877'

SELECT [Rider] FROM [table_61102] WHERE [Bike] = 'honda cbr1000rr' AND [Grid] > '23' AND [Laps] = '14' AND [Time] = '+1''04.877'

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))

transplant self medication program is which type of drug?

SELECT prescriptions.drug_type FROM prescriptions WHERE prescriptions.drug = "Transplant Self Medication Program"

SELECT [prescriptions].[drug_type] FROM [prescriptions] WHERE [Transplant Self Medication Program] = [prescriptions].[drug]

CREATE TABLE table_42840 ([Team] VARCHAR(MAX), [Tries for] FLOAT, [Tries against] FLOAT, [Try diff] VARCHAR(MAX), [Points for] FLOAT, [Points against] FLOAT, [Points diff] VARCHAR(MAX))

How many points against has team Cardiff had when there were less than 7 tries?

SELECT COUNT("Points against") FROM table_42840 WHERE "Team" = 'cardiff' AND "Tries against" < '7'

SELECT COUNT([Points against]) FROM [table_42840] WHERE [Team] = 'cardiff' AND [Tries against] < '7'

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

For all employees who have the letters D or S in their first name, draw a bar chart about the distribution of hire_date and the sum of manager_id bin hire_date by time, sort Y-axis from high to low order.

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

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

CREATE TABLE table_24811 ([Tournament] FLOAT, [Conference] VARCHAR(MAX), [Championship Game Opponent] VARCHAR(MAX), [Score] VARCHAR(MAX), [Location] VARCHAR(MAX), [Head Coach] VARCHAR(MAX))

What is the conference when Ferris State is the championship game opponent?

SELECT "Conference" FROM table_24811 WHERE "Championship Game Opponent" = 'Ferris State'

SELECT [Conference] FROM [table_24811] WHERE [Championship Game Opponent] = 'Ferris State'

CREATE TABLE table_name_81 (_number_of_episodes VARCHAR, portrayed_by VARCHAR)

How many episodes were portrayed by Nick Jonas?

SELECT COUNT(_number_of_episodes) FROM table_name_81 WHERE portrayed_by = "nick jonas"

SELECT COUNT([_number_of_episodes]) FROM [table_name_81] WHERE [nick jonas] = [portrayed_by]

CREATE TABLE Guests (guest_id INTEGER, gender_code CHAR, guest_first_name VARCHAR, guest_last_name VARCHAR, date_of_birth DATETIME2) CREATE TABLE Apartment_Buildings (building_id INTEGER, building_short_name CHAR, building_full_name VARCHAR, building_description VARCHAR, building_address VARCHAR, building_manager VARCHAR, building_phone VARCHAR) CREATE TABLE Apartment_Facilities (apt_id INTEGER, facility_code CHAR) CREATE TABLE Apartment_Bookings (apt_booking_id INTEGER, apt_id INTEGER, guest_id INTEGER, booking_status_code CHAR, booking_start_date DATETIME2, booking_end_date DATETIME2) CREATE TABLE View_Unit_Status (apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME2, available_yn BIT) CREATE TABLE Apartments (apt_id INTEGER, building_id INTEGER, apt_type_code CHAR, apt_number CHAR, bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR)

What are the facility codes of the apartments with more than four bedrooms, and count them by a bar chart, and I want to display in ascending by the facility_code.

SELECT facility_code, COUNT(facility_code) FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4 GROUP BY facility_code ORDER BY facility_code

SELECT [facility_code], COUNT([facility_code]) FROM [Apartment_Facilities] AS [T1] JOIN [Apartments] AS [T2] ON [T1].[apt_id] = [T2].[apt_id] AND [T2].[bedroom_count] > 4 GROUP BY [facility_code] ORDER BY [facility_code]

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

For all employees who have the letters D or S in their first name, draw a bar chart about the distribution of job_id and the average of department_id , and group by attribute job_id, and list by the y-axis from high to low.

SELECT JOB_ID, AVG(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY AVG(DEPARTMENT_ID) DESC

SELECT [JOB_ID], AVG([DEPARTMENT_ID]) FROM [employees] WHERE [FIRST_NAME] LIKE '%D%' OR [FIRST_NAME] LIKE '%S%' GROUP BY [JOB_ID] ORDER BY AVG([DEPARTMENT_ID]) DESC

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 semester (semester_id INTEGER, semester VARCHAR, year 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 requirement (requirement_id INTEGER, requirement VARCHAR, college VARCHAR) CREATE TABLE program_course (program_id INTEGER, course_id INTEGER, workload INTEGER, category VARCHAR) CREATE TABLE ta (campus_job_id INTEGER, student_id INTEGER, location 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 jobs (job_id INTEGER, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip 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 offering_instructor (offering_instructor_id INTEGER, offering_id INTEGER, instructor_id INTEGER) CREATE TABLE area (course_id INTEGER, area VARCHAR) CREATE TABLE course_prerequisite (pre_course_id INTEGER, course_id INTEGER) CREATE TABLE gsi (course_offering_id INTEGER, student_id INTEGER) CREATE TABLE comment_instructor (instructor_id INTEGER, student_id INTEGER, score INTEGER, comment_text VARCHAR) CREATE TABLE instructor (instructor_id INTEGER, name VARCHAR, uniqname 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)

Can I take 532 some time in the next 2 years ?

SELECT DISTINCT semester.semester, semester.year FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'EECS' AND course.number = 532 AND semester.semester_id = course_offering.semester AND semester.year IN (2016, 2017)

SELECT DISTINCT [semester].[semester], [semester].[year] FROM [course] JOIN [course_offering] ON [course].[course_id] = [course_offering].[course_id] JOIN [semester] ON [course_offering].[semester] = [semester].[semester_id] AND [semester].[year] IN (2016, 2017) WHERE [course].[department] = 'EECS' AND [course].[number] = 532

CREATE TABLE table_54454 ([Pick] FLOAT, [Player] VARCHAR(MAX), [Country of origin*] VARCHAR(MAX), [PBA team] VARCHAR(MAX), [College] VARCHAR(MAX))

What pick number is Larry Fonacier?

SELECT "Pick" FROM table_54454 WHERE "Player" = 'larry fonacier'

SELECT [Pick] FROM [table_54454] WHERE [Player] = 'larry fonacier'

CREATE TABLE table_name_3 (league_cup INTEGER, total INTEGER)

Which League Cup has a Total smaller than 1?

SELECT SUM(league_cup) FROM table_name_3 WHERE total < 1

SELECT SUM([league_cup]) FROM [table_name_3] WHERE [total] < 1

CREATE TABLE media_types (id NUMERIC, name VARCHAR(MAX)) CREATE TABLE employees (id NUMERIC, last_name VARCHAR(MAX), first_name VARCHAR(MAX), title VARCHAR(MAX), reports_to NUMERIC, birth_date TIME, hire_date TIME, address VARCHAR(MAX), city VARCHAR(MAX), state VARCHAR(MAX), country VARCHAR(MAX), postal_code VARCHAR(MAX), phone VARCHAR(MAX), fax VARCHAR(MAX), email VARCHAR(MAX)) CREATE TABLE albums (id NUMERIC, title VARCHAR(MAX), artist_id NUMERIC) CREATE TABLE playlist_tracks (playlist_id NUMERIC, track_id NUMERIC) CREATE TABLE tracks (id NUMERIC, name VARCHAR(MAX), album_id NUMERIC, media_type_id NUMERIC, genre_id NUMERIC, composer VARCHAR(MAX), milliseconds NUMERIC, bytes NUMERIC, unit_price NUMERIC) CREATE TABLE invoice_lines (id NUMERIC, invoice_id NUMERIC, track_id NUMERIC, unit_price NUMERIC, quantity NUMERIC) CREATE TABLE sqlite_sequence (name VARCHAR(MAX), seq VARCHAR(MAX)) CREATE TABLE genres (id NUMERIC, name VARCHAR(MAX)) CREATE TABLE invoices (id NUMERIC, customer_id NUMERIC, invoice_date TIME, billing_address VARCHAR(MAX), billing_city VARCHAR(MAX), billing_state VARCHAR(MAX), billing_country VARCHAR(MAX), billing_postal_code VARCHAR(MAX), total NUMERIC) CREATE TABLE artists (id NUMERIC, name VARCHAR(MAX)) CREATE TABLE playlists (id NUMERIC, name VARCHAR(MAX)) CREATE TABLE customers (id NUMERIC, first_name VARCHAR(MAX), last_name VARCHAR(MAX), company VARCHAR(MAX), address VARCHAR(MAX), city VARCHAR(MAX), state VARCHAR(MAX), country VARCHAR(MAX), postal_code VARCHAR(MAX), phone VARCHAR(MAX), fax VARCHAR(MAX), email VARCHAR(MAX), support_rep_id NUMERIC)

List the top 5 genres by number of tracks. List genres name and total tracks.

SELECT T1.name, COUNT(*) FROM genres AS T1 JOIN tracks AS T2 ON T2.genre_id = T1.id GROUP BY T1.id ORDER BY COUNT(*) DESC LIMIT 5

SELECT TOP 5 [T1].[name], COUNT(*) FROM [genres] AS [T1] JOIN [tracks] AS [T2] ON [T1].[id] = [T2].[genre_id] GROUP BY [T1].[id] ORDER BY COUNT(*) DESC