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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 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 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 lab (labid NUMERIC, patientunitstayid NUMERIC, labname VARCHAR(MAX), labresult NUMERIC, labresulttime TIME) CREATE TABLE patient (uniquepid VARCHAR(MAX), patienthealthsystemstayid NUMERIC, patientunitstayid NUMERIC, gender VARCHAR(MAX), age VARCHAR(MAX), ethnicity VARCHAR(MAX), hospitalid NUMERIC, wardid NUMERIC, admissionheight NUMERIC, admissionweight NUMERIC, dischargeweight NUMERIC, hospitaladmittime TIME, hospitaladmitsource VARCHAR(MAX), unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus VARCHAR(MAX)) CREATE TABLE intakeoutput (intakeoutputid NUMERIC, patientunitstayid NUMERIC, cellpath VARCHAR(MAX), celllabel VARCHAR(MAX), cellvaluenumeric NUMERIC, intakeoutputtime TIME)

how many drugs were prescribed until 4 years ago for patient 025-50079?

SELECT COUNT(*) FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '025-50079')) AND DATETIME(medication.drugstarttime) <= DATETIME(CURRENT_TIME(), '-4 year')

WITH [_u_0] AS (SELECT [patient].[patienthealthsystemstayid] AS [patienthealthsystemstayid] FROM [patient] WHERE [patient].[uniquepid] = '025-50079' GROUP BY [patienthealthsystemstayid]), [_u_1] AS (SELECT [patient].[patientunitstayid] AS [patientunitstayid] FROM [patient] LEFT JOIN [_u_0] AS [_u_0] ON [_u_0].[] = [patient].[patienthealthsystemstayid] WHERE NOT [_u_0].[] IS NULL GROUP BY [patientunitstayid]) SELECT COUNT(*) FROM [medication] LEFT JOIN [_u_1] AS [_u_1] ON [_u_1].[] = [medication].[patientunitstayid] WHERE DATETIME([medication].[drugstarttime]) <= DATETIME(CURRENT_TIME(), '-4 year') AND NOT [_u_1].[] IS NULL

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

what is the number of patients whose discharge location is disc-tran cancer/chldrn h and lab test name is basophils?

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.discharge_location = "DISC-TRAN CANCER/CHLDRN H" AND lab.label = "Basophils"

SELECT COUNT(DISTINCT [demographic].[subject_id]) FROM [demographic] JOIN [lab] ON [Basophils] = [lab].[label] AND [demographic].[hadm_id] = [lab].[hadm_id] WHERE [DISC-TRAN CANCER/CHLDRN H] = [demographic].[discharge_location]

CREATE TABLE intakeoutput (intakeoutputid NUMERIC, patientunitstayid NUMERIC, cellpath VARCHAR(MAX), celllabel VARCHAR(MAX), cellvaluenumeric NUMERIC, intakeoutputtime 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 medication (medicationid NUMERIC, patientunitstayid NUMERIC, drugname VARCHAR(MAX), dosage VARCHAR(MAX), routeadmin VARCHAR(MAX), drugstarttime TIME, drugstoptime 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 vitalperiodic (vitalperiodicid NUMERIC, patientunitstayid NUMERIC, temperature NUMERIC, sao2 NUMERIC, heartrate NUMERIC, respiration NUMERIC, systemicsystolic NUMERIC, systemicdiastolic NUMERIC, systemicmean NUMERIC, observationtime TIME) CREATE TABLE diagnosis (diagnosisid NUMERIC, patientunitstayid NUMERIC, diagnosisname VARCHAR(MAX), diagnosistime TIME, icd9code VARCHAR(MAX)) 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 microlab (microlabid NUMERIC, patientunitstayid NUMERIC, culturesite VARCHAR(MAX), organism VARCHAR(MAX), culturetakentime TIME)

in 07/last year was nss infusion prescribed to patient 004-2373?

SELECT COUNT(*) > 0 FROM medication WHERE medication.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '004-2373')) AND medication.drugname = 'nss infusion' AND DATETIME(medication.drugstarttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', medication.drugstarttime) = '07'

WITH [_u_0] AS (SELECT [patient].[patienthealthsystemstayid] AS [patienthealthsystemstayid] FROM [patient] WHERE [patient].[uniquepid] = '004-2373' GROUP BY [patienthealthsystemstayid]), [_u_1] AS (SELECT [patient].[patientunitstayid] AS [patientunitstayid] FROM [patient] LEFT JOIN [_u_0] AS [_u_0] ON [_u_0].[] = [patient].[patienthealthsystemstayid] WHERE NOT [_u_0].[] IS NULL GROUP BY [patientunitstayid]) SELECT COUNT(*) > 0 FROM [medication] LEFT JOIN [_u_1] AS [_u_1] ON [_u_1].[] = [medication].[patientunitstayid] WHERE [medication].[drugname] = 'nss infusion' AND DATETIME([medication].[drugstarttime], 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT [_u_1].[] IS NULL AND STRFTIME('%m', [medication].[drugstarttime]) = '07'

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)) CREATE TABLE lab (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), itemid VARCHAR(MAX), charttime VARCHAR(MAX), flag VARCHAR(MAX), value_unit VARCHAR(MAX), label VARCHAR(MAX), fluid VARCHAR(MAX)) CREATE TABLE demographic (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), name VARCHAR(MAX), marital_status VARCHAR(MAX), age VARCHAR(MAX), dob VARCHAR(MAX), gender VARCHAR(MAX), language VARCHAR(MAX), religion VARCHAR(MAX), admission_type VARCHAR(MAX), days_stay VARCHAR(MAX), insurance VARCHAR(MAX), ethnicity VARCHAR(MAX), expire_flag VARCHAR(MAX), admission_location VARCHAR(MAX), discharge_location VARCHAR(MAX), diagnosis VARCHAR(MAX), dod VARCHAR(MAX), dob_year VARCHAR(MAX), dod_year VARCHAR(MAX), admittime VARCHAR(MAX), dischtime VARCHAR(MAX), admityear VARCHAR(MAX))

what is the average age of patients with gastrointestinal bleed admitted in or after 2105?

SELECT AVG(demographic.age) FROM demographic WHERE demographic.diagnosis = "GASTROINTESTINAL BLEED" AND demographic.admityear >= "2105"

SELECT AVG([demographic].[age]) FROM [demographic] WHERE [2105] <= [demographic].[admityear] AND [GASTROINTESTINAL BLEED] = [demographic].[diagnosis]

CREATE TABLE table_23787 ([Tournament] VARCHAR(MAX), [Also currently known as] VARCHAR(MAX), [City ( s ) ] VARCHAR(MAX), [Country] VARCHAR(MAX), [Court surface] VARCHAR(MAX), [Tier IV in] VARCHAR(MAX), [Years] FLOAT)

What is the tier IV year for the tournament held in Tampa?

SELECT "Tier IV in" FROM table_23787 WHERE "Tournament" = 'Tampa'

SELECT [Tier IV in] FROM [table_23787] WHERE [Tournament] = 'Tampa'

CREATE TABLE head (head_id NUMERIC, name VARCHAR(MAX), born_state VARCHAR(MAX), age NUMERIC) CREATE TABLE department (department_id NUMERIC, name VARCHAR(MAX), creation VARCHAR(MAX), ranking NUMERIC, budget_in_billions NUMERIC, num_employees NUMERIC) CREATE TABLE management (department_id NUMERIC, head_id NUMERIC, temporary_acting VARCHAR(MAX))

What are the names of the heads who are born outside the California state?

SELECT name FROM head WHERE born_state <> 'California'

SELECT [name] FROM [head] WHERE [born_state] <> 'California'

CREATE TABLE job_history (EMPLOYEE_ID NUMERIC, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID NUMERIC) CREATE TABLE locations (LOCATION_ID NUMERIC, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR) CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID NUMERIC) CREATE TABLE departments (DEPARTMENT_ID NUMERIC, DEPARTMENT_NAME VARCHAR, MANAGER_ID NUMERIC, LOCATION_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 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 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, return a bar chart about the distribution of hire_date and the sum of salary bin hire_date by time, and I want to display by the total number of salary in ascending.

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

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

CREATE TABLE VoteTypes (Id NUMERIC, Name VARCHAR(MAX)) CREATE TABLE SuggestedEditVotes (Id NUMERIC, SuggestedEditId NUMERIC, UserId NUMERIC, VoteTypeId NUMERIC, CreationDate TIME, TargetUserId NUMERIC, TargetRepChange NUMERIC) CREATE TABLE Badges (Id NUMERIC, UserId NUMERIC, Name VARCHAR(MAX), Date TIME, Class NUMERIC, TagBased BIT) CREATE TABLE PostTags (PostId NUMERIC, TagId NUMERIC) CREATE TABLE Tags (Id NUMERIC, TagName VARCHAR(MAX), Count NUMERIC, ExcerptPostId NUMERIC, WikiPostId NUMERIC) CREATE TABLE PostNoticeTypes (Id NUMERIC, ClassId NUMERIC, Name VARCHAR(MAX), Body VARCHAR(MAX), IsHidden BIT, Predefined BIT, PostNoticeDurationId NUMERIC) 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 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 ReviewTaskResultTypes (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 Votes (Id NUMERIC, PostId NUMERIC, VoteTypeId NUMERIC, UserId NUMERIC, CreationDate TIME, BountyAmount NUMERIC) CREATE TABLE ReviewRejectionReasons (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX), PostTypeId NUMERIC) CREATE TABLE PostFeedback (Id NUMERIC, PostId NUMERIC, IsAnonymous BIT, VoteTypeId NUMERIC, CreationDate TIME) CREATE TABLE PostTypes (Id NUMERIC, Name 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 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 ReviewTaskResults (Id NUMERIC, ReviewTaskId NUMERIC, ReviewTaskResultTypeId NUMERIC, CreationDate TIME, RejectionReasonId NUMERIC, Comment 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 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 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 Comments (Id NUMERIC, PostId NUMERIC, Score NUMERIC, Text VARCHAR(MAX), CreationDate TIME, UserDisplayName VARCHAR(MAX), UserId NUMERIC, ContentLicense VARCHAR(MAX)) CREATE TABLE FlagTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE CloseReasonTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE PostsWithDeleted (Id NUMERIC, PostTypeId NUMERIC, AcceptedAnswerId NUMERIC, ParentId NUMERIC, CreationDate TIME, DeletionDate TIME, Score NUMERIC, ViewCount NUMERIC, Body VARCHAR(MAX), OwnerUserId NUMERIC, OwnerDisplayName VARCHAR(MAX), LastEditorUserId NUMERIC, LastEditorDisplayName VARCHAR(MAX), LastEditDate TIME, LastActivityDate TIME, Title VARCHAR(MAX), Tags VARCHAR(MAX), AnswerCount NUMERIC, CommentCount NUMERIC, FavoriteCount NUMERIC, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense VARCHAR(MAX)) CREATE TABLE ReviewTaskTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE PostHistoryTypes (Id NUMERIC, Name VARCHAR(MAX))

Top Viewed Question By Tag.

WITH ViewsByTag AS (SELECT pt.TagId, p.ViewCount, ROW_NUMBER() OVER (PARTITION BY pt.TagId ORDER BY p.ViewCount DESC) AS "rank" FROM Posts AS p INNER JOIN PostTags AS pt ON pt.PostId = p.Id) SELECT RANK() OVER (ORDER BY vt.ViewCount DESC) AS "rank", t.TagName, vt.ViewCount FROM ViewsByTag AS vt INNER JOIN Tags AS t ON vt.TagId = t.Id WHERE vt.Rank = 1 ORDER BY vt.ViewCount DESC

SELECT RANK() OVER (ORDER BY [p].[viewcount] DESC) AS [rank], [t].[tagname], [p].[viewcount] FROM [Posts] AS [p] JOIN [PostTags] AS [pt] ON [p].[id] = [pt].[postid] JOIN [Tags] AS [t] ON [pt].[tagid] = [t].[id] WHERE [vt].[Rank] = 1 ORDER BY [p].[viewcount] DESC

CREATE TABLE table_name_59 (attendance INTEGER, result VARCHAR)

What is the lowest attendance of a game that has the result of 2-0?

SELECT MIN(attendance) FROM table_name_59 WHERE result = "2-0"

SELECT MIN([attendance]) FROM [table_name_59] WHERE [2-0] = [result]

CREATE TABLE table_7017 ([Year] VARCHAR(MAX), [Team] VARCHAR(MAX), [SckY] VARCHAR(MAX), [Int%] VARCHAR(MAX), [Rate] VARCHAR(MAX), [RAtt] VARCHAR(MAX), [RYds] VARCHAR(MAX), [RAvg] VARCHAR(MAX), [RLng] VARCHAR(MAX), [R1st] VARCHAR(MAX))

What team had a Ravg of 3.4?

SELECT "Team" FROM table_7017 WHERE "RAvg" = '3.4'

SELECT [Team] FROM [table_7017] WHERE [RAvg] = '3.4'

CREATE TABLE table_name_50 (frequency_mhz VARCHAR, erp_w VARCHAR, city_of_license VARCHAR)

What is the frequency MHz in tremonton, utah with a ERP W larger than 30?

SELECT frequency_mhz FROM table_name_50 WHERE erp_w > 30 AND city_of_license = "tremonton, utah"

SELECT [frequency_mhz] FROM [table_name_50] WHERE [city_of_license] = [tremonton, utah] AND [erp_w] > 30

CREATE TABLE table_5113 ([Series Ep.] VARCHAR(MAX), [Episode] FLOAT, [Segment A] VARCHAR(MAX), [Segment B] VARCHAR(MAX), [Segment C] VARCHAR(MAX), [Segment D] VARCHAR(MAX))

What is Segment D of 20-08 series Ep.?

SELECT "Segment D" FROM table_5113 WHERE "Series Ep." = '20-08'

SELECT [Segment D] FROM [table_5113] WHERE [Series Ep.] = '20-08'

CREATE TABLE table_52986 ([Driver] VARCHAR(MAX), [Constructor] VARCHAR(MAX), [Laps] FLOAT, [Time/Retired] VARCHAR(MAX), [Grid] FLOAT)

Which Grid did Alain Prost drive on?

SELECT SUM("Grid") FROM table_52986 WHERE "Driver" = 'alain prost'

SELECT SUM([Grid]) FROM [table_52986] WHERE [Driver] = 'alain prost'

CREATE TABLE table_name_46 (rank VARCHAR, athletes VARCHAR)

What is the rank of Manuel Cortina Mart nez?

SELECT rank FROM table_name_46 WHERE athletes = "manuel cortina martínez"

SELECT [rank] FROM [table_name_46] WHERE [athletes] = [manuel cortina martínez]

CREATE TABLE table_name_78 (type VARCHAR, tunnel VARCHAR)

What Type of Tunnel is the Downhill Tunnel?

SELECT type FROM table_name_78 WHERE tunnel = "downhill"

SELECT [type] FROM [table_name_78] WHERE [downhill] = [tunnel]

CREATE TABLE table_48981 ([Region] VARCHAR(MAX), [1950] FLOAT, [1960] FLOAT, [1970] FLOAT, [1980] FLOAT, [1990] FLOAT, [2000] FLOAT)

What is the average value for 1970, when the Region is East Europe (7 Economies), and when 2000 has a value greater than 2?

SELECT AVG("1970") FROM table_48981 WHERE "Region" = 'east europe (7 economies)' AND "2000" > '2'

SELECT AVG([1970]) FROM [table_48981] WHERE [2000] > '2' AND [Region] = 'east europe (7 economies)'

CREATE TABLE table_204_37 (id NUMERIC, [#] NUMERIC, [wrestlers] VARCHAR(MAX), [reign] NUMERIC, [date] VARCHAR(MAX), [days\ held] NUMERIC, [location] VARCHAR(MAX), [event] VARCHAR(MAX), [notes] VARCHAR(MAX))

tell me the date of the last event held in greensboro , north carolina .

SELECT "date" FROM table_204_37 WHERE "location" = 'greensboro, north carolina' ORDER BY "date" DESC LIMIT 1

SELECT TOP 1 [date] FROM [table_204_37] WHERE [location] = 'greensboro, north carolina' ORDER BY [date] DESC

CREATE TABLE table_31969 ([Heat Rank] FLOAT, [Lane] FLOAT, [Swimmer] VARCHAR(MAX), [Country] VARCHAR(MAX), [Time] FLOAT, [Overall Rank] VARCHAR(MAX))

In heat rank 7, what is the sum of lanes?

SELECT SUM("Lane") FROM table_31969 WHERE "Heat Rank" = '7'

SELECT SUM([Lane]) FROM [table_31969] WHERE [Heat Rank] = '7'

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

list all flights from MEMPHIS to SEATTLE

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

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

CREATE TABLE table_3984 ([Series #] FLOAT, [Season #] FLOAT, [Title] VARCHAR(MAX), [Directed by] VARCHAR(MAX), [Written by] VARCHAR(MAX), [Original air date] VARCHAR(MAX), [Production code] VARCHAR(MAX))

Who wrote episode with production code 1.01?

SELECT "Written by" FROM table_3984 WHERE "Production code" = '1.01'

SELECT [Written by] FROM [table_3984] WHERE [Production code] = '1.01'

CREATE TABLE Ref_Address_Types (address_type_code VARCHAR, address_type_description VARCHAR) CREATE TABLE Students_in_Detention (student_id INTEGER, detention_id INTEGER, incident_id INTEGER) CREATE TABLE Detention (detention_id INTEGER, detention_type_code VARCHAR, teacher_id INTEGER, datetime_detention_start DATETIME2, datetime_detention_end DATETIME2, detention_summary VARCHAR, other_details VARCHAR) CREATE TABLE Student_Addresses (student_id INTEGER, address_id INTEGER, date_address_from DATETIME2, date_address_to DATETIME2, monthly_rental NUMERIC, other_details VARCHAR) CREATE TABLE Assessment_Notes (notes_id INTEGER, student_id INTEGER, teacher_id INTEGER, date_of_notes DATETIME2, text_of_notes VARCHAR, other_details VARCHAR) CREATE TABLE Students (student_id INTEGER, address_id INTEGER, first_name VARCHAR, middle_name VARCHAR, last_name VARCHAR, cell_mobile_number VARCHAR, email_address VARCHAR, date_first_rental DATETIME2, date_left_university DATETIME2, other_student_details VARCHAR) CREATE TABLE Ref_Detention_Type (detention_type_code VARCHAR, detention_type_description VARCHAR) CREATE TABLE Teachers (teacher_id INTEGER, address_id INTEGER, first_name VARCHAR, middle_name VARCHAR, last_name VARCHAR, gender VARCHAR, cell_mobile_number VARCHAR, email_address VARCHAR, other_details VARCHAR) CREATE TABLE Behavior_Incident (incident_id INTEGER, incident_type_code VARCHAR, student_id INTEGER, date_incident_start DATETIME2, date_incident_end DATETIME2, incident_summary VARCHAR, recommendations VARCHAR, other_details VARCHAR) CREATE TABLE Ref_Incident_Type (incident_type_code VARCHAR, incident_type_description VARCHAR) CREATE TABLE Addresses (address_id INTEGER, line_1 VARCHAR, line_2 VARCHAR, line_3 VARCHAR, city VARCHAR, zip_postcode VARCHAR, state_province_county VARCHAR, country VARCHAR, other_address_details VARCHAR)

Return a bar chart about the distribution of other_details and the sum of monthly_rental , and group by attribute other_details.

SELECT other_details, SUM(monthly_rental) FROM Student_Addresses GROUP BY other_details ORDER BY monthly_rental DESC

SELECT [other_details], SUM([monthly_rental]) FROM [Student_Addresses] GROUP BY [other_details] ORDER BY [monthly_rental] DESC

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

For those employees who did not have any job in the past, draw a bar chart about the distribution of hire_date and the sum of manager_id bin hire_date by time, and rank from high to low by the Y.

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

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

CREATE TABLE domain_keyword (did INTEGER, kid INTEGER) CREATE TABLE cite (cited INTEGER, citing INTEGER) CREATE TABLE publication (abstract VARCHAR, cid INTEGER, citation_num INTEGER, jid INTEGER, pid INTEGER, reference_num INTEGER, title VARCHAR, year INTEGER) CREATE TABLE domain (did INTEGER, name VARCHAR) CREATE TABLE writes (aid INTEGER, pid INTEGER) CREATE TABLE author (aid INTEGER, homepage VARCHAR, name VARCHAR, oid INTEGER) CREATE TABLE organization (continent VARCHAR, homepage VARCHAR, name VARCHAR, oid INTEGER) CREATE TABLE domain_author (aid INTEGER, did INTEGER) CREATE TABLE domain_journal (did INTEGER, jid INTEGER) CREATE TABLE domain_conference (cid INTEGER, did INTEGER) CREATE TABLE publication_keyword (kid INTEGER, pid INTEGER) CREATE TABLE conference (cid INTEGER, homepage VARCHAR, name VARCHAR) CREATE TABLE journal (homepage VARCHAR, jid INTEGER, name VARCHAR) CREATE TABLE domain_publication (did INTEGER, pid INTEGER) CREATE TABLE keyword (keyword VARCHAR, kid INTEGER)

return me the authors who have papers in PVLDB 2010 .

SELECT author.name FROM author, journal, publication, writes WHERE journal.name = 'PVLDB' AND publication.jid = journal.jid AND publication.year = 2010 AND writes.aid = author.aid AND writes.pid = publication.pid

SELECT [author].[name] FROM [author] JOIN [journal] ON [journal].[name] = 'PVLDB' JOIN [publication] ON [journal].[jid] = [publication].[jid] AND [publication].[year] = 2010 JOIN [writes] ON [author].[aid] = [writes].[aid] AND [publication].[pid] = [writes].[pid]

CREATE TABLE diagnosis (diagnosisid NUMERIC, patientunitstayid NUMERIC, diagnosisname VARCHAR(MAX), diagnosistime TIME, icd9code VARCHAR(MAX)) CREATE TABLE microlab (microlabid NUMERIC, patientunitstayid NUMERIC, culturesite VARCHAR(MAX), organism VARCHAR(MAX), culturetakentime 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 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 cost (costid NUMERIC, uniquepid VARCHAR(MAX), patienthealthsystemstayid NUMERIC, eventtype VARCHAR(MAX), eventid NUMERIC, chargetime TIME, cost NUMERIC) CREATE TABLE allergy (allergyid NUMERIC, patientunitstayid NUMERIC, drugname VARCHAR(MAX), allergyname VARCHAR(MAX), allergytime TIME) CREATE TABLE medication (medicationid NUMERIC, patientunitstayid NUMERIC, drugname VARCHAR(MAX), dosage VARCHAR(MAX), routeadmin VARCHAR(MAX), drugstarttime TIME, drugstoptime TIME) CREATE TABLE lab (labid NUMERIC, patientunitstayid NUMERIC, labname VARCHAR(MAX), labresult NUMERIC, labresulttime TIME)

have patient 013-28507 received a vte prophylaxis - compression stockings since 4 years ago?

SELECT COUNT(*) > 0 FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '013-28507')) AND treatment.treatmentname = 'vte prophylaxis - compression stockings' AND DATETIME(treatment.treatmenttime) >= DATETIME(CURRENT_TIME(), '-4 year')

WITH [_u_0] AS (SELECT [patient].[patienthealthsystemstayid] AS [patienthealthsystemstayid] FROM [patient] WHERE [patient].[uniquepid] = '013-28507' GROUP BY [patienthealthsystemstayid]), [_u_1] AS (SELECT [patient].[patientunitstayid] AS [patientunitstayid] FROM [patient] LEFT JOIN [_u_0] AS [_u_0] ON [_u_0].[] = [patient].[patienthealthsystemstayid] WHERE NOT [_u_0].[] IS NULL GROUP BY [patientunitstayid]) SELECT COUNT(*) > 0 FROM [treatment] LEFT JOIN [_u_1] AS [_u_1] ON [_u_1].[] = [treatment].[patientunitstayid] WHERE [treatment].[treatmentname] = 'vte prophylaxis - compression stockings' AND DATETIME([treatment].[treatmenttime]) >= DATETIME(CURRENT_TIME(), '-4 year') AND NOT [_u_1].[] IS NULL

CREATE TABLE prescriptions (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icustay_id VARCHAR(MAX), drug_type VARCHAR(MAX), drug VARCHAR(MAX), formulary_drug_cd VARCHAR(MAX), route VARCHAR(MAX), drug_dose VARCHAR(MAX)) CREATE TABLE diagnoses (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE 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 procedures (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX))

Calculate the total number of patients admitted before 2123, who had a lab test for clinical chemistry.

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2123" AND lab."CATEGORY" = "Chemistry"

SELECT COUNT(DISTINCT [demographic].[subject_id]) FROM [demographic] JOIN [lab] ON [Chemistry] = [lab].[category] AND [demographic].[hadm_id] = [lab].[hadm_id] WHERE [2123] > [demographic].[admityear]

CREATE TABLE table_name_44 (result VARCHAR, date VARCHAR)

What is the result of the match on January 26, 2006?

SELECT result FROM table_name_44 WHERE date = "january 26, 2006"

SELECT [result] FROM [table_name_44] WHERE [date] = [january 26, 2006]

CREATE TABLE table_2908 ([Episode] VARCHAR(MAX), [First broadcast] VARCHAR(MAX), [Davids team] VARCHAR(MAX), [Lees team] VARCHAR(MAX), [Scores] VARCHAR(MAX))

Who is on the David's Team for the episode with the Lees Team of Jack Dee and Peter Serafinowicz

SELECT "Davids team" FROM table_2908 WHERE "Lees team" = 'Jack Dee and Peter Serafinowicz'

SELECT [Davids team] FROM [table_2908] WHERE [Lees team] = 'Jack Dee and Peter Serafinowicz'

CREATE TABLE table_21114902_1 (knockouts_of_the_night VARCHAR, fighter VARCHAR)

How many knockout of the night occurred when joe lauzon fought.

SELECT knockouts_of_the_night FROM table_21114902_1 WHERE fighter = "Joe Lauzon"

SELECT [knockouts_of_the_night] FROM [table_21114902_1] WHERE [Joe Lauzon] = [fighter]

CREATE TABLE table_name_13 (result VARCHAR, rank VARCHAR)

what is the result when the rank is 12?

SELECT result FROM table_name_13 WHERE rank = 12

SELECT [result] FROM [table_name_13] WHERE [rank] = 12

CREATE TABLE table_56077 ([Round] FLOAT, [Overall] VARCHAR(MAX), [Player] VARCHAR(MAX), [Position] VARCHAR(MAX), [Nationality] VARCHAR(MAX), [Club team] VARCHAR(MAX))

Who is the player from Sweden from a round after 3?

SELECT "Player" FROM table_56077 WHERE "Nationality" = 'sweden' AND "Round" > '3'

SELECT [Player] FROM [table_56077] WHERE [Nationality] = 'sweden' AND [Round] > '3'

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

let me know the age and marital status of patient with patient id 76446.

SELECT demographic.marital_status, demographic.age FROM demographic WHERE demographic.subject_id = "76446"

SELECT [demographic].[marital_status], [demographic].[age] FROM [demographic] WHERE [76446] = [demographic].[subject_id]

CREATE TABLE appellations (No INTEGER, Appelation VARCHAR(MAX), County VARCHAR(MAX), State VARCHAR(MAX), Area VARCHAR(MAX), isAVA VARCHAR(MAX)) CREATE TABLE wine (No INTEGER, Grape VARCHAR(MAX), Winery VARCHAR(MAX), Appelation VARCHAR(MAX), State VARCHAR(MAX), Name VARCHAR(MAX), Year INTEGER, Price INTEGER, Score INTEGER, Cases INTEGER, Drink VARCHAR(MAX)) CREATE TABLE grapes (ID INTEGER, Grape VARCHAR(MAX), Color VARCHAR(MAX))

Give the neames of wines with prices below 50 and with appelations in Monterey county, and count them by a bar chart, show in asc by the Y.

SELECT Name, COUNT(Name) FROM appellations AS T1 JOIN wine AS T2 ON T1.Appelation = T2.Appelation WHERE T1.County = "Monterey" AND T2.Price < 50 GROUP BY Name ORDER BY COUNT(Name)

SELECT [Name], COUNT([Name]) FROM [appellations] AS [T1] JOIN [wine] AS [T2] ON [T1].[appelation] = [T2].[appelation] AND [T2].[price] < 50 WHERE [Monterey] = [T1].[county] GROUP BY [Name] ORDER BY COUNT([Name])

CREATE TABLE table_name_50 (record VARCHAR, visitor VARCHAR)

What is the record of the game where the visitor team is the Edmonton Oilers?

SELECT record FROM table_name_50 WHERE visitor = "edmonton oilers"

SELECT [record] FROM [table_name_50] WHERE [edmonton oilers] = [visitor]

CREATE TABLE table_20093 ([Name] VARCHAR(MAX), [Position] VARCHAR(MAX), [Number] FLOAT, [School/Club Team] VARCHAR(MAX), [Season] VARCHAR(MAX), [Acquisition via] VARCHAR(MAX))

How many school/club teams have a player named Manuel Luis Quezon?

SELECT COUNT("Number") FROM table_20093 WHERE "School/Club Team" = 'Manuel Luis Quezon'

SELECT COUNT([Number]) FROM [table_20093] WHERE [School/Club Team] = 'Manuel Luis Quezon'

CREATE TABLE table_56328 ([Round] VARCHAR(MAX), [Pick] VARCHAR(MAX), [Player] VARCHAR(MAX), [Position] VARCHAR(MAX), [Nationality] VARCHAR(MAX), [Team] VARCHAR(MAX), [College] VARCHAR(MAX))

Who is the player that plays position f from Fort Wayne Pistons?

SELECT "Player" FROM table_56328 WHERE "Team" = 'fort wayne pistons' AND "Position" = 'f'

SELECT [Player] FROM [table_56328] WHERE [Position] = 'f' AND [Team] = 'fort wayne pistons'

CREATE TABLE table_203_38 (id NUMERIC, [#] NUMERIC, [title] VARCHAR(MAX), [producer ( s ) ] VARCHAR(MAX), [performer ( s ) ] VARCHAR(MAX), [length] VARCHAR(MAX))

who produced the last track of the album ?

SELECT "producer(s)" FROM table_203_38 ORDER BY "#" DESC LIMIT 1

SELECT TOP 1 [producer(s)] FROM [table_203_38] ORDER BY [#] DESC

CREATE TABLE table_49231 ([Tournament] VARCHAR(MAX), [Surface] VARCHAR(MAX), [Week] VARCHAR(MAX), [Winner and score] VARCHAR(MAX), [Finalist] VARCHAR(MAX), [Semifinalists] VARCHAR(MAX))

What is the finalist in the week of March 12?

SELECT "Finalist" FROM table_49231 WHERE "Week" = 'march 12'

SELECT [Finalist] FROM [table_49231] WHERE [Week] = 'march 12'

CREATE TABLE table_1140111_5 (constructor VARCHAR, circuit VARCHAR)

Who constructed the Syracuse circuit?

SELECT constructor FROM table_1140111_5 WHERE circuit = "Syracuse"

SELECT [constructor] FROM [table_1140111_5] WHERE [Syracuse] = [circuit]

CREATE TABLE customers_policies (date_opened VARCHAR, date_closed VARCHAR, customer_id VARCHAR) CREATE TABLE customers (customer_id VARCHAR, customer_name VARCHAR)

Retrieve the open and close dates of all the policies associated with the customer whose name contains 'Diana

SELECT t2.date_opened, t2.date_closed FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name LIKE "%Diana%"

SELECT [t2].[date_opened], [t2].[date_closed] FROM [customers] AS [t1] JOIN [customers_policies] AS [t2] ON [t1].[customer_id] = [t2].[customer_id] WHERE [t1].[customer_name] LIKE [%Diana%]

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 lab (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), itemid VARCHAR(MAX), charttime VARCHAR(MAX), flag VARCHAR(MAX), value_unit VARCHAR(MAX), label VARCHAR(MAX), fluid VARCHAR(MAX)) CREATE TABLE procedures (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE diagnoses (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX))

count the number of patients whose discharge location is left against medical advi and procedure short title is drug detoxification?

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "LEFT AGAINST MEDICAL ADVI" AND procedures.short_title = "Drug detoxification"

SELECT COUNT(DISTINCT [demographic].[subject_id]) FROM [demographic] JOIN [procedures] ON [Drug detoxification] = [procedures].[short_title] AND [demographic].[hadm_id] = [procedures].[hadm_id] WHERE [LEFT AGAINST MEDICAL ADVI] = [demographic].[discharge_location]

CREATE TABLE table_58070 ([Tournament] VARCHAR(MAX), [Winner] VARCHAR(MAX), [Runner-up] VARCHAR(MAX), [Score] VARCHAR(MAX), [Third Place] VARCHAR(MAX))

what was the score when goran ivani evi was runner up and the tournament was in algarve?

SELECT "Score" FROM table_58070 WHERE "Runner-up" = 'goran ivanišević' AND "Tournament" = 'algarve'

SELECT [Score] FROM [table_58070] WHERE [Runner-up] = 'goran ivanišević' AND [Tournament] = 'algarve'

CREATE TABLE table_name_5 (date VARCHAR, decision VARCHAR, home VARCHAR)

Name the date for turco decision and home of st. louis

SELECT date FROM table_name_5 WHERE decision = "turco" AND home = "st. louis"

SELECT [date] FROM [table_name_5] WHERE [decision] = [turco] AND [home] = [st. louis]

CREATE TABLE table_name_59 (played INTEGER, points VARCHAR, against VARCHAR)

What is the number of games played for the team with 12 points and an against smaller than 52?

SELECT AVG(played) FROM table_name_59 WHERE points = 12 AND against < 52

SELECT AVG([played]) FROM [table_name_59] WHERE [against] < 52 AND [points] = 12

CREATE TABLE table_34631 ([Spacecraft] VARCHAR(MAX), [Destination] VARCHAR(MAX), [Launched] VARCHAR(MAX), [Closest approach] VARCHAR(MAX), [Time elapsed] VARCHAR(MAX))

What Launched has Time elapsed of 1991 days (5 yr, 5 mo, 12 d)?

SELECT "Launched" FROM table_34631 WHERE "Time elapsed" = '1991 days (5 yr, 5 mo, 12 d)'

SELECT [Launched] FROM [table_34631] WHERE [Time elapsed] = '1991 days (5 yr, 5 mo, 12 d)'

CREATE TABLE table_204_800 (id NUMERIC, [rank] NUMERIC, [nation] VARCHAR(MAX), [gold] NUMERIC, [silver] NUMERIC, [bronze] NUMERIC, [total] NUMERIC)

which nations did not win any silver medals ?

SELECT "nation" FROM table_204_800 WHERE "silver" = 0

SELECT [nation] FROM [table_204_800] WHERE [silver] = 0

CREATE TABLE table_34419 ([Date] FLOAT, [Opponent] VARCHAR(MAX), [Venue] VARCHAR(MAX), [Result] VARCHAR(MAX), [Attendance] FLOAT, [Competition] VARCHAR(MAX))

Which Venue has a Result of won 5-4?

SELECT "Venue" FROM table_34419 WHERE "Result" = 'won 5-4'

SELECT [Venue] FROM [table_34419] WHERE [Result] = 'won 5-4'

CREATE TABLE table_4665 ([Player] VARCHAR(MAX), [Nationality] VARCHAR(MAX), [Position] VARCHAR(MAX), [From] VARCHAR(MAX), [School/Country] VARCHAR(MAX))

What nationality is the guard from ucla?

SELECT "Nationality" FROM table_4665 WHERE "Position" = 'guard' AND "School/Country" = 'ucla'

SELECT [Nationality] FROM [table_4665] WHERE [Position] = 'guard' AND [School/Country] = 'ucla'

CREATE TABLE table_name_7 (district VARCHAR, first_elected VARCHAR, towns_represented VARCHAR)

Which district had first elected earlier than 2006 for representation of Broken Arrow, Tulsa?

SELECT district FROM table_name_7 WHERE first_elected < 2006 AND towns_represented = "broken arrow, tulsa"

SELECT [district] FROM [table_name_7] WHERE [broken arrow, tulsa] = [towns_represented] AND [first_elected] < 2006

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 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 microbiologyevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, charttime TIME, spec_type_desc VARCHAR(MAX), org_name VARCHAR(MAX)) CREATE TABLE d_labitems (row_id NUMERIC, itemid NUMERIC, label VARCHAR(MAX)) CREATE TABLE labevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, itemid NUMERIC, charttime TIME, valuenum NUMERIC, valueuom 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 transfers (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, eventtype VARCHAR(MAX), careunit VARCHAR(MAX), wardid NUMERIC, intime TIME, outtime TIME) CREATE TABLE outputevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, charttime TIME, itemid NUMERIC, value NUMERIC) CREATE TABLE chartevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_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 patients (row_id NUMERIC, subject_id NUMERIC, gender VARCHAR(MAX), dob TIME, dod 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_icd_diagnoses (row_id NUMERIC, icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE inputevents_cv (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, charttime TIME, itemid NUMERIC, amount NUMERIC)

was patient 29971 given a rt/left heart card cath treatment?

SELECT COUNT(*) > 0 FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'rt/left heart card cath') AND procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 29971)

WITH [_u_1] AS (SELECT [admissions].[hadm_id] AS [hadm_id] FROM [admissions] WHERE [admissions].[subject_id] = 29971 GROUP BY [hadm_id]) SELECT COUNT(*) > 0 FROM [procedures_icd] JOIN [d_icd_procedures] ON [d_icd_procedures].[icd9_code] = [procedures_icd].[icd9_code] AND [d_icd_procedures].[short_title] = 'rt/left heart card cath' LEFT JOIN [_u_1] AS [_u_1] ON [_u_1].[] = [procedures_icd].[hadm_id] WHERE NOT [_u_1].[] IS NULL

CREATE TABLE microbiologyevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, charttime TIME, spec_type_desc VARCHAR(MAX), org_name VARCHAR(MAX)) CREATE TABLE d_icd_diagnoses (row_id NUMERIC, icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title 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 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_icd_procedures (row_id NUMERIC, icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title 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 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 d_labitems (row_id NUMERIC, itemid NUMERIC, label VARCHAR(MAX)) 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 procedures_icd (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icd9_code VARCHAR(MAX), charttime 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 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 labevents (row_id NUMERIC, subject_id NUMERIC, hadm_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 outputevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, charttime TIME, itemid NUMERIC, value NUMERIC)

what were the three most frequently prescribed drugs to patients who previously received temporary colostomy within 2 months until 1 year ago?

SELECT t3.drug FROM (SELECT t2.drug, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM (SELECT admissions.subject_id, procedures_icd.charttime FROM procedures_icd JOIN admissions ON procedures_icd.hadm_id = admissions.hadm_id WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'temporary colostomy') AND DATETIME(procedures_icd.charttime) <= DATETIME(CURRENT_TIME(), '-1 year')) AS t1 JOIN (SELECT admissions.subject_id, prescriptions.drug, prescriptions.startdate FROM prescriptions JOIN admissions ON prescriptions.hadm_id = admissions.hadm_id WHERE DATETIME(prescriptions.startdate) <= DATETIME(CURRENT_TIME(), '-1 year')) AS t2 ON t1.subject_id = t2.subject_id WHERE t1.charttime < t2.startdate AND DATETIME(t2.startdate) BETWEEN DATETIME(t1.charttime) AND DATETIME(t1.charttime, '+2 month') GROUP BY t2.drug) AS t3 WHERE t3.c1 <= 3

WITH [t2] AS (SELECT [admissions].[subject_id] AS [subject_id], [prescriptions].[drug] AS [drug], [prescriptions].[startdate] AS [startdate] FROM [prescriptions] JOIN [admissions] ON [admissions].[hadm_id] = [prescriptions].[hadm_id] WHERE DATETIME([prescriptions].[startdate]) <= DATETIME(CURRENT_TIME(), '-1 year')), [t3] AS (SELECT [t2].[drug] AS [drug], DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS [c1] FROM [procedures_icd] JOIN [d_icd_procedures] ON [d_icd_procedures].[icd9_code] = [procedures_icd].[icd9_code] AND [d_icd_procedures].[short_title] = 'temporary colostomy' JOIN [admissions] ON [admissions].[hadm_id] = [procedures_icd].[hadm_id] JOIN [t2] AS [t2] ON [admissions].[subject_id] = [t2].[subject_id] AND [procedures_icd].[charttime] < [t2].[startdate] AND DATETIME([procedures_icd].[charttime]) <= DATETIME([t2].[startdate]) AND DATETIME([procedures_icd].[charttime], '+2 month') >= DATETIME([t2].[startdate]) WHERE DATETIME([procedures_icd].[charttime]) <= DATETIME(CURRENT_TIME(), '-1 year') GROUP BY [t2].[drug]) SELECT [t3].[drug] FROM [t3] AS [t3] WHERE [t3].[c1] <= 3

CREATE TABLE Mailshot_Customers (mailshot_id INTEGER, customer_id INTEGER, outcome_code VARCHAR, mailshot_customer_date DATETIME2) CREATE TABLE Products (product_id INTEGER, product_category VARCHAR, product_name VARCHAR) CREATE TABLE Customer_Orders (order_id INTEGER, customer_id INTEGER, order_status_code VARCHAR, shipping_method_code VARCHAR, order_placed_datetime DATETIME2, order_delivered_datetime DATETIME2, order_shipping_charges VARCHAR) CREATE TABLE Premises (premise_id INTEGER, premises_type VARCHAR, premise_details VARCHAR) CREATE TABLE Customers (customer_id INTEGER, payment_method VARCHAR, customer_name VARCHAR, customer_phone VARCHAR, customer_email VARCHAR, customer_address VARCHAR, customer_login VARCHAR, customer_password VARCHAR) CREATE TABLE Mailshot_Campaigns (mailshot_id INTEGER, product_category VARCHAR, mailshot_name VARCHAR, mailshot_start_date DATETIME2, mailshot_end_date DATETIME2) CREATE TABLE Customer_Addresses (customer_id INTEGER, premise_id INTEGER, date_address_from DATETIME2, address_type_code VARCHAR, date_address_to DATETIME2) CREATE TABLE Order_Items (item_id INTEGER, order_item_status_code VARCHAR, order_id INTEGER, product_id INTEGER, item_status_code VARCHAR, item_delivered_datetime DATETIME2, item_order_quantity VARCHAR)

Show each premise type and the number of premises in that type with a bar chart.

SELECT premises_type, COUNT(*) FROM Premises GROUP BY premises_type

SELECT [premises_type], COUNT(*) FROM [Premises] GROUP BY [premises_type]

CREATE TABLE table_9961 ([Rank] VARCHAR(MAX), [Nation] VARCHAR(MAX), [Gold] FLOAT, [Silver] FLOAT, [Bronze] FLOAT, [Total] FLOAT)

How many Gold for the Nation in Rank 15 with 0 Silver?

SELECT MAX("Gold") FROM table_9961 WHERE "Rank" = '15' AND "Silver" > '0'

SELECT MAX([Gold]) FROM [table_9961] WHERE [Rank] = '15' AND [Silver] > '0'

CREATE TABLE table_name_93 (position VARCHAR, nationality VARCHAR)

What is the position of the player from Sweden?

SELECT position FROM table_name_93 WHERE nationality = "sweden"

SELECT [position] FROM [table_name_93] WHERE [nationality] = [sweden]

CREATE TABLE table_name_30 (silver INTEGER, gold VARCHAR, nation VARCHAR)

What is the low silver total for switzerland with over 0 golds?

SELECT MIN(silver) FROM table_name_30 WHERE gold > 0 AND nation = "switzerland"

SELECT MIN([silver]) FROM [table_name_30] WHERE [gold] > 0 AND [nation] = [switzerland]

CREATE TABLE table_name_97 (event VARCHAR, position VARCHAR, year VARCHAR)

What is Event, when Position is 6th, and when Year is after 2006?

SELECT event FROM table_name_97 WHERE position = "6th" AND year > 2006

SELECT [event] FROM [table_name_97] WHERE [6th] = [position] AND [year] > 2006

CREATE TABLE table_61427 ([County] VARCHAR(MAX), [Precincts] VARCHAR(MAX), [C. Abate] VARCHAR(MAX), [R. Bacon] VARCHAR(MAX), [D. Shulman] VARCHAR(MAX))

What is the number for D. Shulman if C. Abate has 728 (43%)

SELECT "D. Shulman" FROM table_61427 WHERE "C. Abate" = '728 (43%)'

SELECT [D. Shulman] FROM [table_61427] WHERE [C. Abate] = '728 (43%)'

CREATE TABLE table_23819979_3 (final_place VARCHAR, last_match VARCHAR)

Name the final place for july 25, 2009

SELECT final_place FROM table_23819979_3 WHERE last_match = "July 25, 2009"

SELECT [final_place] FROM [table_23819979_3] WHERE [July 25, 2009] = [last_match]

CREATE TABLE table_767 ([District] VARCHAR(MAX), [Incumbent] VARCHAR(MAX), [Party] VARCHAR(MAX), [First elected] VARCHAR(MAX), [Result] VARCHAR(MAX), [Candidates] VARCHAR(MAX))

Name the first elected for lost renomination democratic loss

SELECT "First elected" FROM table_767 WHERE "Result" = 'Lost renomination Democratic loss'

SELECT [First elected] FROM [table_767] WHERE [Result] = 'Lost renomination Democratic loss'

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 prescriptions (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icustay_id VARCHAR(MAX), drug_type VARCHAR(MAX), drug VARCHAR(MAX), formulary_drug_cd VARCHAR(MAX), route VARCHAR(MAX), drug_dose VARCHAR(MAX)) CREATE TABLE diagnoses (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE procedures (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX))

what is minimum age of patients whose insurance is self pay and primary disease is hypertension;rule out coronary artery disease\cardiac cath?

SELECT MIN(demographic.age) FROM demographic WHERE demographic.insurance = "Self Pay" AND demographic.diagnosis = "HYPERTENSION;RULE OUT CORONARY ARTERY DISEASE\CARDIAC CATH"

SELECT MIN([demographic].[age]) FROM [demographic] WHERE [HYPERTENSION;RULE OUT CORONARY ARTERY DISEASE\CARDIAC CATH] = [demographic].[diagnosis] AND [Self Pay] = [demographic].[insurance]

CREATE TABLE table_35425 ([Round] FLOAT, [Overall] FLOAT, [Player] VARCHAR(MAX), [Position] VARCHAR(MAX), [College] VARCHAR(MAX))

What position was Jafus White who was picked after round 1?

SELECT "Position" FROM table_35425 WHERE "Round" > '1' AND "Player" = 'jafus white'

SELECT [Position] FROM [table_35425] WHERE [Player] = 'jafus white' AND [Round] > '1'

CREATE TABLE table_33321 ([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))

At which venue did the away team score 7.7 (49)?

SELECT "Venue" FROM table_33321 WHERE "Away team score" = '7.7 (49)'

SELECT [Venue] FROM [table_33321] WHERE [Away team score] = '7.7 (49)'

CREATE TABLE inputevents_cv (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, charttime TIME, itemid NUMERIC, amount NUMERIC) CREATE TABLE diagnoses_icd (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icd9_code VARCHAR(MAX), charttime TIME) CREATE TABLE cost (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, event_type VARCHAR(MAX), event_id NUMERIC, chargetime TIME, cost NUMERIC) CREATE TABLE labevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, itemid NUMERIC, charttime TIME, valuenum NUMERIC, valueuom 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 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_icd_diagnoses (row_id NUMERIC, icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE d_items (row_id NUMERIC, itemid NUMERIC, label VARCHAR(MAX), linksto VARCHAR(MAX)) CREATE TABLE patients (row_id NUMERIC, subject_id NUMERIC, gender VARCHAR(MAX), dob TIME, dod TIME) CREATE TABLE d_labitems (row_id NUMERIC, itemid NUMERIC, label VARCHAR(MAX)) CREATE TABLE microbiologyevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, charttime TIME, spec_type_desc VARCHAR(MAX), org_name VARCHAR(MAX)) CREATE TABLE procedures_icd (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icd9_code VARCHAR(MAX), charttime TIME) CREATE TABLE transfers (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, eventtype VARCHAR(MAX), careunit VARCHAR(MAX), wardid NUMERIC, intime TIME, outtime TIME) CREATE TABLE chartevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, itemid NUMERIC, charttime TIME, valuenum NUMERIC, valueuom VARCHAR(MAX)) 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 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 d_icd_procedures (row_id NUMERIC, icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX))

has patient 8016's arterial bp [diastolic] been greater than 68.0 degrees the last month?

SELECT COUNT(*) > 0 FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 8016)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'arterial bp [diastolic]' AND d_items.linksto = 'chartevents') AND chartevents.valuenum > 68.0 AND DATETIME(chartevents.charttime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month')

WITH [_u_0] AS (SELECT [admissions].[hadm_id] AS [hadm_id] FROM [admissions] WHERE [admissions].[subject_id] = 8016 GROUP BY [hadm_id]), [_u_1] AS (SELECT [icustays].[icustay_id] AS [icustay_id] FROM [icustays] LEFT JOIN [_u_0] AS [_u_0] ON [_u_0].[] = [icustays].[hadm_id] WHERE NOT [_u_0].[] IS NULL GROUP BY [icustay_id]), [_u_2] AS (SELECT [d_items].[itemid] AS [itemid] FROM [d_items] WHERE [d_items].[label] = 'arterial bp [diastolic]' AND [d_items].[linksto] = 'chartevents' GROUP BY [itemid]) SELECT COUNT(*) > 0 FROM [chartevents] LEFT JOIN [_u_1] AS [_u_1] ON [_u_1].[] = [chartevents].[icustay_id] LEFT JOIN [_u_2] AS [_u_2] ON [_u_2].[] = [chartevents].[itemid] WHERE [chartevents].[valuenum] > 68.0 AND DATETIME([chartevents].[charttime], 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-1 month') AND NOT [_u_1].[] IS NULL AND NOT [_u_2].[] IS NULL

CREATE TABLE table_68148 ([Championship] VARCHAR(MAX), [Champion ( s ) ] VARCHAR(MAX), [Previous champion ( s ) ] VARCHAR(MAX), [Date Won] VARCHAR(MAX), [Location] VARCHAR(MAX))

Who is the champion of the title previously held by Lash?

SELECT "Champion(s)" FROM table_68148 WHERE "Previous champion(s)" = 'lash'

SELECT [Champion(s)] FROM [table_68148] WHERE [Previous champion(s)] = 'lash'

CREATE TABLE grapes (ID INTEGER, Grape VARCHAR(MAX), Color VARCHAR(MAX)) CREATE TABLE wine (No INTEGER, Grape VARCHAR(MAX), Winery VARCHAR(MAX), Appelation VARCHAR(MAX), State VARCHAR(MAX), Name VARCHAR(MAX), Year INTEGER, Price INTEGER, Score INTEGER, Cases INTEGER, Drink VARCHAR(MAX)) CREATE TABLE appellations (No INTEGER, Appelation VARCHAR(MAX), County VARCHAR(MAX), State VARCHAR(MAX), Area VARCHAR(MAX), isAVA VARCHAR(MAX))

Bar chart x axis year y axis total number of avg(price)

SELECT Year, SUM(AVG(Price)) FROM wine

SELECT [Year], SUM(AVG([Price])) FROM [wine]

CREATE TABLE actor (Actor_ID INTEGER, Name VARCHAR(MAX), Musical_ID INTEGER, Character VARCHAR(MAX), Duration VARCHAR(MAX), age INTEGER) CREATE TABLE musical (Musical_ID INTEGER, Name VARCHAR(MAX), Year INTEGER, Award VARCHAR(MAX), Category VARCHAR(MAX), Nominee VARCHAR(MAX), Result VARCHAR(MAX))

How many musicals has each nominee been nominated for Plot them as bar chart, and display from low to high by the x axis.

SELECT Nominee, COUNT(*) FROM musical GROUP BY Nominee ORDER BY Nominee

SELECT [Nominee], COUNT(*) FROM [musical] GROUP BY [Nominee] ORDER BY [Nominee]

CREATE TABLE table_17156199_1 (year__ceremony_ VARCHAR, original_title VARCHAR)

How many years was the original title was (swopnodanay)?

SELECT COUNT(year__ceremony_) FROM table_17156199_1 WHERE original_title = "স্বপ্নডানায় (Swopnodanay)"

SELECT COUNT([year__ceremony_]) FROM [table_17156199_1] WHERE [original_title] = [স্বপ্নডানায় (Swopnodanay)]

CREATE TABLE table_10661 ([Round] FLOAT, [Overall] VARCHAR(MAX), [Player] VARCHAR(MAX), [Position] VARCHAR(MAX), [Nationality] VARCHAR(MAX), [Club team] VARCHAR(MAX))

The Position of Centre is what Player?

SELECT "Player" FROM table_10661 WHERE "Position" = 'centre'

SELECT [Player] FROM [table_10661] WHERE [Position] = 'centre'

CREATE TABLE table_29839 ([Game] FLOAT, [Date] VARCHAR(MAX), [Team] VARCHAR(MAX), [Score] VARCHAR(MAX), [High points] VARCHAR(MAX), [High rebounds] VARCHAR(MAX), [High assists] VARCHAR(MAX), [Location Attendance] VARCHAR(MAX), [Record] VARCHAR(MAX))

Name the record for w 101 93 (ot)

SELECT "Record" FROM table_29839 WHERE "Score" = 'W 101–93 (OT)'

SELECT [Record] FROM [table_29839] WHERE [Score] = 'W 101–93 (OT)'

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 lab (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), itemid VARCHAR(MAX), charttime VARCHAR(MAX), flag VARCHAR(MAX), value_unit VARCHAR(MAX), label VARCHAR(MAX), fluid VARCHAR(MAX)) CREATE TABLE prescriptions (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icustay_id VARCHAR(MAX), drug_type VARCHAR(MAX), drug VARCHAR(MAX), formulary_drug_cd VARCHAR(MAX), route VARCHAR(MAX), drug_dose VARCHAR(MAX)) CREATE TABLE procedures (subject_id VARCHAR(MAX), hadm_id VARCHAR(MAX), icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX))

what is the number of patients whose ethnicity is black/cape verdean and age is less than 27?

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/CAPE VERDEAN" AND demographic.age < "27"

SELECT COUNT(DISTINCT [demographic].[subject_id]) FROM [demographic] WHERE [27] > [demographic].[age] AND [BLACK/CAPE VERDEAN] = [demographic].[ethnicity]

CREATE TABLE table_77767 ([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 was the lowest Crowd during the Away Team Score of 10.11 (71)?

SELECT MIN("Crowd") FROM table_77767 WHERE "Away team score" = '10.11 (71)'

SELECT MIN([Crowd]) FROM [table_77767] WHERE [Away team score] = '10.11 (71)'

CREATE TABLE table_74433 ([Pick #] FLOAT, [MLS team] VARCHAR(MAX), [Player] VARCHAR(MAX), [Position] VARCHAR(MAX), [Affiliation] VARCHAR(MAX))

What pick number is Kevan George?

SELECT "Pick #" FROM table_74433 WHERE "Player" = 'Kevan George'

SELECT [Pick #] FROM [table_74433] WHERE [Player] = 'Kevan George'

CREATE TABLE table_name_46 (best_score INTEGER, worst_score VARCHAR)

What's the best average score with a bad score of 15?

SELECT AVG(best_score) FROM table_name_46 WHERE worst_score = 15

SELECT AVG([best_score]) FROM [table_name_46] WHERE [worst_score] = 15

CREATE TABLE table_26638600_3 (lites_2_race_two_winning_team VARCHAR, lites_1_race_one_winning_team VARCHAR)

Who was the lights 2 race two winning team when the lites 1 race one winning team was #13 Inspire Motorsports?

SELECT lites_2_race_two_winning_team FROM table_26638600_3 WHERE lites_1_race_one_winning_team = "#13 Inspire Motorsports"

SELECT [lites_2_race_two_winning_team] FROM [table_26638600_3] WHERE [#13 Inspire Motorsports] = [lites_1_race_one_winning_team]

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

how many patients whose drug type is main and lab test name is ld, body fluid?

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.drug_type = "MAIN" AND lab.label = "LD, Body Fluid"

SELECT COUNT(DISTINCT [demographic].[subject_id]) FROM [demographic] JOIN [lab] ON [LD, Body Fluid] = [lab].[label] AND [demographic].[hadm_id] = [lab].[hadm_id] JOIN [prescriptions] ON [MAIN] = [prescriptions].[drug_type] AND [demographic].[hadm_id] = [prescriptions].[hadm_id]

CREATE TABLE table_273617_6 (status VARCHAR)

What is the 2011 number (,000) when the status is separated?

SELECT 2011 AS _number__, 000 AS _ FROM table_273617_6 WHERE status = "Separated"

SELECT 2011 AS [_number__], 000 AS [_] FROM [table_273617_6] WHERE [Separated] = [status]

CREATE TABLE table_name_2 (january INTEGER, game VARCHAR)

Which January has a Game of 50?

SELECT AVG(january) FROM table_name_2 WHERE game = 50

SELECT AVG([january]) FROM [table_name_2] WHERE [game] = 50

CREATE TABLE Users (Id NUMERIC, Reputation NUMERIC, CreationDate TIME, DisplayName VARCHAR(MAX), LastAccessDate TIME, WebsiteUrl VARCHAR(MAX), Location VARCHAR(MAX), AboutMe VARCHAR(MAX), Views NUMERIC, UpVotes NUMERIC, DownVotes NUMERIC, ProfileImageUrl VARCHAR(MAX), EmailHash VARCHAR(MAX), AccountId NUMERIC) CREATE TABLE PostLinks (Id NUMERIC, CreationDate TIME, PostId NUMERIC, RelatedPostId NUMERIC, LinkTypeId NUMERIC) 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 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 ReviewTaskTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE ReviewTaskStates (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE FlagTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE 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 PostHistoryTypes (Id NUMERIC, Name VARCHAR(MAX)) CREATE TABLE PostTypes (Id NUMERIC, Name 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 Badges (Id NUMERIC, UserId NUMERIC, Name VARCHAR(MAX), Date TIME, Class NUMERIC, TagBased BIT) CREATE TABLE ReviewRejectionReasons (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX), PostTypeId 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 SuggestedEditVotes (Id NUMERIC, SuggestedEditId NUMERIC, UserId NUMERIC, VoteTypeId NUMERIC, CreationDate TIME, TargetUserId NUMERIC, TargetRepChange NUMERIC) CREATE TABLE PendingFlags (Id NUMERIC, FlagTypeId NUMERIC, PostId NUMERIC, CreationDate TIME, CloseReasonTypeId NUMERIC, CloseAsOffTopicReasonTypeId NUMERIC, DuplicateOfQuestionId NUMERIC, BelongsOnBaseHostAddress 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 Votes (Id NUMERIC, PostId NUMERIC, VoteTypeId NUMERIC, UserId NUMERIC, CreationDate TIME, BountyAmount NUMERIC) CREATE TABLE Tags (Id NUMERIC, TagName VARCHAR(MAX), Count NUMERIC, ExcerptPostId NUMERIC, WikiPostId NUMERIC) CREATE TABLE VoteTypes (Id NUMERIC, Name VARCHAR(MAX)) CREATE TABLE PostNoticeTypes (Id NUMERIC, ClassId NUMERIC, Name VARCHAR(MAX), Body VARCHAR(MAX), IsHidden BIT, Predefined BIT, PostNoticeDurationId NUMERIC) CREATE TABLE PostFeedback (Id NUMERIC, PostId NUMERIC, IsAnonymous BIT, VoteTypeId NUMERIC, CreationDate TIME) CREATE TABLE Comments (Id NUMERIC, PostId NUMERIC, Score NUMERIC, Text VARCHAR(MAX), CreationDate TIME, UserDisplayName VARCHAR(MAX), UserId NUMERIC, ContentLicense 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))

Recent unanswered questions from users whose questions you answered in the past.

SELECT newq.Id AS "post_link", newq.CreationDate, newq.Tags FROM Posts AS newq INNER JOIN Posts AS q ON newq.OwnerUserId = q.OwnerUserId INNER JOIN Posts AS a ON q.Id = a.ParentId AND a.OwnerUserId = '##UserId##' AND COALESCE(newq.AnswerCount, 0) = 0 AND newq.ClosedDate IS NULL ORDER BY newq.CreationDate DESC

SELECT [newq].[id] AS [post_link], [newq].[creationdate], [newq].[tags] FROM [Posts] AS [newq] JOIN [Posts] AS [q] ON [newq].[owneruserid] = [q].[owneruserid] JOIN [Posts] AS [a] ON [a].[owneruserid] = '##UserId##' AND [a].[parentid] = [q].[id] AND ([newq].[answercount] = 0 OR [newq].[answercount] IS NULL) AND [newq].[closeddate] IS NULL ORDER BY [newq].[creationdate] DESC

CREATE TABLE table_80172 ([Election] VARCHAR(MAX), [1st Member] VARCHAR(MAX), [1st Party] VARCHAR(MAX), [2nd Member] VARCHAR(MAX), [2nd Party] VARCHAR(MAX))

What was the 1st Party when the 1st Member was William Congreve Russell?

SELECT "1st Party" FROM table_80172 WHERE "1st Member" = 'william congreve russell'

SELECT [1st Party] FROM [table_80172] WHERE [1st Member] = 'william congreve russell'

CREATE TABLE table_name_45 (currency VARCHAR, central_rate VARCHAR)

Which currency has a central rate of 3.45280?

SELECT currency FROM table_name_45 WHERE central_rate = "3.45280"

SELECT [currency] FROM [table_name_45] WHERE [3.45280] = [central_rate]

CREATE TABLE table_name_91 (team VARCHAR, rank VARCHAR, speed VARCHAR)

What teams rank is higher than 4 with a speed of 104.574mph?

SELECT team FROM table_name_91 WHERE rank > 4 AND speed = "104.574mph"

SELECT [team] FROM [table_name_91] WHERE [104.574mph] = [speed] AND [rank] > 4

CREATE TABLE table_name_42 (designated_visitors VARCHAR, designated_home VARCHAR)

Who were the visitors when the Atlanta Falcons were the home team?

SELECT designated_visitors FROM table_name_42 WHERE designated_home = "atlanta falcons"

SELECT [designated_visitors] FROM [table_name_42] WHERE [atlanta falcons] = [designated_home]

CREATE TABLE table_64301 ([World record] VARCHAR(MAX), [Snatch] VARCHAR(MAX), [Sergey Filimonov ( KAZ ) ] VARCHAR(MAX), [173kg] VARCHAR(MAX), [Almaty , Kazakhstan] VARCHAR(MAX))

What is the Almaty, Kazakhstan when the Sergey Filimonov (KAZ) is 210kg?

SELECT "Almaty , Kazakhstan" FROM table_64301 WHERE "Sergey Filimonov ( KAZ )" = '210kg'

SELECT [Almaty , Kazakhstan] FROM [table_64301] WHERE [Sergey Filimonov ( KAZ )] = '210kg'

CREATE TABLE d_icd_procedures (row_id NUMERIC, icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) 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 labevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, itemid NUMERIC, charttime TIME, valuenum NUMERIC, valueuom 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 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 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 diagnoses_icd (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icd9_code VARCHAR(MAX), charttime TIME) 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 inputevents_cv (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, charttime TIME, itemid NUMERIC, amount NUMERIC) CREATE TABLE d_labitems (row_id NUMERIC, itemid NUMERIC, label VARCHAR(MAX)) CREATE TABLE procedures_icd (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icd9_code VARCHAR(MAX), charttime TIME) CREATE TABLE transfers (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icustay_id NUMERIC, eventtype VARCHAR(MAX), careunit VARCHAR(MAX), wardid NUMERIC, intime TIME, outtime TIME) CREATE TABLE d_icd_diagnoses (row_id NUMERIC, icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title 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))

when was the last time that during the last year patient 64881 received interruption vena cava procedure?

SELECT procedures_icd.charttime FROM procedures_icd WHERE procedures_icd.icd9_code = (SELECT d_icd_procedures.icd9_code FROM d_icd_procedures WHERE d_icd_procedures.short_title = 'interruption vena cava') AND procedures_icd.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 64881) AND DATETIME(procedures_icd.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') ORDER BY procedures_icd.charttime DESC LIMIT 1

WITH [_u_1] AS (SELECT [admissions].[hadm_id] AS [hadm_id] FROM [admissions] WHERE [admissions].[subject_id] = 64881 GROUP BY [hadm_id]) SELECT TOP 1 [procedures_icd].[charttime] FROM [procedures_icd] JOIN [d_icd_procedures] ON [d_icd_procedures].[icd9_code] = [procedures_icd].[icd9_code] AND [d_icd_procedures].[short_title] = 'interruption vena cava' LEFT JOIN [_u_1] AS [_u_1] ON [_u_1].[] = [procedures_icd].[hadm_id] WHERE DATETIME([procedures_icd].[charttime], 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT [_u_1].[] IS NULL ORDER BY [procedures_icd].[charttime] DESC

CREATE TABLE keyword (id INTEGER, keyword VARCHAR(MAX)) CREATE TABLE copyright (id INTEGER, msid INTEGER, cid INTEGER) CREATE TABLE genre (gid INTEGER, genre VARCHAR(MAX)) CREATE TABLE made_by (id INTEGER, msid INTEGER, pid INTEGER) CREATE TABLE directed_by (id INTEGER, msid INTEGER, did INTEGER) CREATE TABLE tags (id INTEGER, msid INTEGER, kid INTEGER) CREATE TABLE cast (id INTEGER, msid INTEGER, aid INTEGER, role VARCHAR(MAX)) CREATE TABLE tv_series (sid INTEGER, title VARCHAR(MAX), release_year INTEGER, num_of_seasons INTEGER, num_of_episodes INTEGER, title_aka VARCHAR(MAX), budget VARCHAR(MAX)) CREATE TABLE movie (mid INTEGER, title VARCHAR(MAX), release_year INTEGER, title_aka VARCHAR(MAX), budget VARCHAR(MAX)) CREATE TABLE classification (id INTEGER, msid INTEGER, gid INTEGER) CREATE TABLE director (did INTEGER, gender VARCHAR(MAX), name VARCHAR(MAX), nationality VARCHAR(MAX), birth_city VARCHAR(MAX), birth_year INTEGER) CREATE TABLE producer (pid INTEGER, gender VARCHAR(MAX), name VARCHAR(MAX), nationality VARCHAR(MAX), birth_city VARCHAR(MAX), birth_year INTEGER) CREATE TABLE writer (wid INTEGER, gender VARCHAR(MAX), name VARCHAR(MAX), nationality VARCHAR(MAX), birth_city VARCHAR(MAX), birth_year INTEGER) CREATE TABLE written_by (id INTEGER, msid INTEGER, wid INTEGER) CREATE TABLE company (id INTEGER, name VARCHAR(MAX), country_code VARCHAR) CREATE TABLE actor (aid INTEGER, gender VARCHAR(MAX), name VARCHAR(MAX), nationality VARCHAR(MAX), birth_city VARCHAR(MAX), birth_year INTEGER)

find the number of actors from Iran who played in ' Jim Jarmusch ' movies

SELECT COUNT(DISTINCT (actor.name)) FROM actor, cast, directed_by, director, movie WHERE actor.nationality = 'Iran' AND cast.aid = actor.aid AND director.did = directed_by.did AND director.name = 'Jim Jarmusch' AND movie.mid = cast.msid AND movie.mid = directed_by.msid

SELECT COUNT(DISTINCT [actor].[name]) FROM [actor] JOIN [cast] ON [actor].[aid] = [cast].[aid] JOIN [movie] ON [cast].[msid] = [movie].[mid] JOIN [directed_by] ON [directed_by].[msid] = [movie].[mid] JOIN [director] ON [directed_by].[did] = [director].[did] AND [director].[name] = 'Jim Jarmusch' WHERE [actor].[nationality] = 'Iran'

CREATE TABLE table_27952 ([meas. num] FLOAT, [passed] VARCHAR(MAX), [YES votes] FLOAT, [NO votes] FLOAT, [% YES] VARCHAR(MAX), [Const. Amd.?] VARCHAR(MAX), [type] VARCHAR(MAX), [description] VARCHAR(MAX))

What was the type of ballot measures if the % of yes vote is 32.47%?

SELECT "type" FROM table_27952 WHERE "% YES" = '32.47%'

SELECT [type] FROM [table_27952] WHERE [% YES] = '32.47%'

CREATE TABLE People_Addresses (person_address_id INTEGER, person_id INTEGER, address_id INTEGER, date_from DATETIME2, date_to DATETIME2) CREATE TABLE Student_Course_Registrations (student_id INTEGER, course_id INTEGER, registration_date DATETIME2) CREATE TABLE Student_Course_Attendance (student_id INTEGER, course_id INTEGER, date_of_attendance DATETIME2) CREATE TABLE People (person_id INTEGER, first_name VARCHAR, middle_name VARCHAR, last_name VARCHAR, cell_mobile_number VARCHAR, email_address VARCHAR, login_name VARCHAR, password VARCHAR) CREATE TABLE Students (student_id INTEGER, student_details VARCHAR) CREATE TABLE Candidates (candidate_id INTEGER, candidate_details VARCHAR) CREATE TABLE Addresses (address_id INTEGER, line_1 VARCHAR, line_2 VARCHAR, city VARCHAR, zip_postcode CHAR, state_province_county VARCHAR, country VARCHAR) CREATE TABLE Courses (course_id VARCHAR, course_name VARCHAR, course_description VARCHAR, other_details VARCHAR) CREATE TABLE Candidate_Assessments (candidate_id INTEGER, qualification CHAR, assessment_date DATETIME2, asessment_outcome_code CHAR)

For all course_name from courses table, group by the course name and count them with a bar chart.

SELECT course_name, COUNT(course_name) FROM Courses GROUP BY course_name

SELECT [course_name], COUNT([course_name]) FROM [Courses] GROUP BY [course_name]

CREATE TABLE table_34912 ([Country] VARCHAR(MAX), [Skip] VARCHAR(MAX), [Third] VARCHAR(MAX), [Second] VARCHAR(MAX), [Lead] VARCHAR(MAX))

Who was Canada's lead?

SELECT "Lead" FROM table_34912 WHERE "Country" = 'canada'

SELECT [Lead] FROM [table_34912] WHERE [Country] = 'canada'

CREATE TABLE diagnosis (diagnosisid NUMERIC, patientunitstayid NUMERIC, diagnosisname VARCHAR(MAX), diagnosistime TIME, icd9code VARCHAR(MAX)) CREATE TABLE patient (uniquepid VARCHAR(MAX), patienthealthsystemstayid NUMERIC, patientunitstayid NUMERIC, gender VARCHAR(MAX), age VARCHAR(MAX), ethnicity VARCHAR(MAX), hospitalid NUMERIC, wardid NUMERIC, admissionheight NUMERIC, admissionweight NUMERIC, dischargeweight NUMERIC, hospitaladmittime TIME, hospitaladmitsource VARCHAR(MAX), unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus VARCHAR(MAX)) CREATE TABLE allergy (allergyid NUMERIC, patientunitstayid NUMERIC, drugname VARCHAR(MAX), allergyname VARCHAR(MAX), allergytime TIME) CREATE TABLE microlab (microlabid NUMERIC, patientunitstayid NUMERIC, culturesite VARCHAR(MAX), organism VARCHAR(MAX), culturetakentime 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 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) CREATE TABLE cost (costid NUMERIC, uniquepid VARCHAR(MAX), patienthealthsystemstayid NUMERIC, eventtype VARCHAR(MAX), eventid NUMERIC, chargetime TIME, cost NUMERIC)

has there ever been any prbcs given to patient 011-55642 during this month?

SELECT COUNT(*) > 0 FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '011-55642')) AND intakeoutput.cellpath LIKE '%intake%' AND intakeoutput.celllabel = 'prbcs' AND DATETIME(intakeoutput.intakeoutputtime, 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month')

WITH [_u_0] AS (SELECT [patient].[patienthealthsystemstayid] AS [patienthealthsystemstayid] FROM [patient] WHERE [patient].[uniquepid] = '011-55642' GROUP BY [patienthealthsystemstayid]), [_u_1] AS (SELECT [patient].[patientunitstayid] AS [patientunitstayid] FROM [patient] LEFT JOIN [_u_0] AS [_u_0] ON [_u_0].[] = [patient].[patienthealthsystemstayid] WHERE NOT [_u_0].[] IS NULL GROUP BY [patientunitstayid]) SELECT COUNT(*) > 0 FROM [intakeoutput] LEFT JOIN [_u_1] AS [_u_1] ON [_u_1].[] = [intakeoutput].[patientunitstayid] WHERE [intakeoutput].[celllabel] = 'prbcs' AND [intakeoutput].[cellpath] LIKE '%intake%' AND DATETIME([intakeoutput].[intakeoutputtime], 'start of month') = DATETIME(CURRENT_TIME(), 'start of month', '-0 month') AND NOT [_u_1].[] IS NULL

CREATE TABLE schedule (Cinema_ID INTEGER, Film_ID INTEGER, Date VARCHAR(MAX), Show_times_per_day INTEGER, Price FLOAT) CREATE TABLE film (Film_ID INTEGER, Rank_in_series INTEGER, Number_in_season INTEGER, Title VARCHAR(MAX), Directed_by VARCHAR(MAX), Original_air_date VARCHAR(MAX), Production_code VARCHAR(MAX)) CREATE TABLE cinema (Cinema_ID INTEGER, Name VARCHAR(MAX), Openning_year INTEGER, Capacity INTEGER, Location VARCHAR(MAX))

Plot the total number by grouped by directed by as a bar graph, sort from high to low by the Y.

SELECT Directed_by, COUNT(*) FROM film GROUP BY Directed_by ORDER BY COUNT(*) DESC

SELECT [Directed_by], COUNT(*) FROM [film] GROUP BY [Directed_by] ORDER BY COUNT(*) DESC

CREATE TABLE match_season (Season FLOAT, Player VARCHAR(MAX), Position VARCHAR(MAX), Country INTEGER, Team INTEGER, Draft_Pick_Number INTEGER, Draft_Class VARCHAR(MAX), College VARCHAR(MAX)) CREATE TABLE player (Player_ID INTEGER, Player VARCHAR(MAX), Years_Played VARCHAR(MAX), Total_WL VARCHAR(MAX), Singles_WL VARCHAR(MAX), Doubles_WL VARCHAR(MAX), Team INTEGER) CREATE TABLE country (Country_id INTEGER, Country_name VARCHAR(MAX), Capital VARCHAR(MAX), Official_native_language VARCHAR(MAX)) CREATE TABLE team (Team_id INTEGER, Name VARCHAR(MAX))

What are the draft pick numbers and draft classes for players who play the Defender position. Show bar chart.

SELECT Draft_Class, Draft_Pick_Number FROM match_season WHERE Position = "Defender"

SELECT [Draft_Class], [Draft_Pick_Number] FROM [match_season] WHERE [Defender] = [Position]

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) 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 regions (REGION_ID NUMERIC, REGION_NAME VARCHAR) CREATE TABLE employees (EMPLOYEE_ID NUMERIC, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY NUMERIC, COMMISSION_PCT NUMERIC, MANAGER_ID NUMERIC, DEPARTMENT_ID NUMERIC)

For those employees who was hired before 2002-06-21, show me about the distribution of hire_date and the average of manager_id bin hire_date by weekday in a bar chart, and show by the Y-axis in asc.

SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY AVG(MANAGER_ID)

SELECT [HIRE_DATE], AVG([MANAGER_ID]) FROM [employees] WHERE [HIRE_DATE] < '2002-06-21' ORDER BY AVG([MANAGER_ID])

CREATE TABLE table_204_680 (id NUMERIC, [released] VARCHAR(MAX), [title] VARCHAR(MAX), [artist] VARCHAR(MAX), [format] VARCHAR(MAX), [language] VARCHAR(MAX))

what was the first live album that was released in 2011 ?

SELECT "title" FROM table_204_680 WHERE "format" = 'live album' ORDER BY "released" LIMIT 1

SELECT TOP 1 [title] FROM [table_204_680] WHERE [format] = 'live album' ORDER BY [released]

CREATE TABLE vitalperiodic (vitalperiodicid NUMERIC, patientunitstayid NUMERIC, temperature NUMERIC, sao2 NUMERIC, heartrate NUMERIC, respiration NUMERIC, systemicsystolic NUMERIC, systemicdiastolic NUMERIC, systemicmean NUMERIC, observationtime TIME) CREATE TABLE cost (costid NUMERIC, uniquepid VARCHAR(MAX), patienthealthsystemstayid NUMERIC, eventtype VARCHAR(MAX), eventid NUMERIC, chargetime TIME, cost NUMERIC) CREATE TABLE intakeoutput (intakeoutputid NUMERIC, patientunitstayid NUMERIC, cellpath VARCHAR(MAX), celllabel VARCHAR(MAX), cellvaluenumeric NUMERIC, intakeoutputtime TIME) CREATE TABLE 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 lab (labid NUMERIC, patientunitstayid NUMERIC, labname VARCHAR(MAX), labresult NUMERIC, labresulttime TIME) CREATE TABLE allergy (allergyid NUMERIC, patientunitstayid NUMERIC, drugname VARCHAR(MAX), allergyname VARCHAR(MAX), allergytime TIME) CREATE TABLE medication (medicationid NUMERIC, patientunitstayid NUMERIC, drugname VARCHAR(MAX), dosage VARCHAR(MAX), routeadmin VARCHAR(MAX), drugstarttime TIME, drugstoptime TIME) CREATE TABLE diagnosis (diagnosisid NUMERIC, patientunitstayid NUMERIC, diagnosisname VARCHAR(MAX), diagnosistime TIME, icd9code VARCHAR(MAX)) CREATE TABLE microlab (microlabid NUMERIC, patientunitstayid NUMERIC, culturesite VARCHAR(MAX), organism VARCHAR(MAX), culturetakentime TIME)

let's count the number of times on the first hospital encounter patient 006-200601 has had a output amt-chest tube c output.

SELECT COUNT(*) FROM intakeoutput WHERE intakeoutput.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '006-200601' AND NOT patient.hospitaldischargetime IS NULL ORDER BY patient.hospitaladmittime LIMIT 1)) AND intakeoutput.cellpath LIKE '%output%' AND intakeoutput.celllabel = 'output amt-chest tube c'

SELECT COUNT(*) FROM [intakeoutput] WHERE [intakeoutput].[celllabel] = 'output amt-chest tube c' AND [intakeoutput].[cellpath] LIKE '%output%' AND [intakeoutput].[patientunitstayid] IN (SELECT [patient].[patientunitstayid] FROM [patient] WHERE [patient].[patienthealthsystemstayid] IN (SELECT TOP 1 [patient].[patienthealthsystemstayid] FROM [patient] WHERE [patient].[uniquepid] = '006-200601' AND NOT [patient].[hospitaldischargetime] IS NULL ORDER BY [patient].[hospitaladmittime]))

CREATE TABLE table_73343 ([Team] VARCHAR(MAX), [Stadium] VARCHAR(MAX), [Match played] VARCHAR(MAX), [Highest] FLOAT, [Lowest] FLOAT, [Average] FLOAT)

Which team has a match played of 10 4?

SELECT "Team" FROM table_73343 WHERE "Match played" = '10 4'

SELECT [Team] FROM [table_73343] WHERE [Match played] = '10 4'

CREATE TABLE table_25085059_3 (pick__number VARCHAR, position VARCHAR)

What draft pick number was the player with the position DL?

SELECT pick__number FROM table_25085059_3 WHERE position = "DL"

SELECT [pick__number] FROM [table_25085059_3] WHERE [DL] = [position]

CREATE TABLE table_26577 ([Processor] VARCHAR(MAX), [Brand name] VARCHAR(MAX), [Model ( list ) ] VARCHAR(MAX), [Cores] FLOAT, [L2 Cache] VARCHAR(MAX), [Socket] VARCHAR(MAX), [TDP] VARCHAR(MAX))

Whats the processor for p9xxx?

SELECT "Processor" FROM table_26577 WHERE "Model (list)" = 'P9xxx'

SELECT [Processor] FROM [table_26577] WHERE [Model (list)] = 'P9xxx'

CREATE TABLE table_name_25 (location VARCHAR, goal VARCHAR)

Which location has a Goal of 2?

SELECT location FROM table_name_25 WHERE goal = "2"

SELECT [location] FROM [table_name_25] WHERE [2] = [goal]

CREATE TABLE course_prerequisite (pre_course_id INTEGER, course_id INTEGER) CREATE TABLE student (student_id INTEGER, lastname VARCHAR, firstname VARCHAR, program_id INTEGER, declare_major VARCHAR, total_credit INTEGER, total_gpa FLOAT, entered_as VARCHAR, admit_term INTEGER, predicted_graduation_semester INTEGER, degree VARCHAR, minor VARCHAR, internship VARCHAR) CREATE TABLE 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 program (program_id INTEGER, name VARCHAR, college VARCHAR, introduction VARCHAR) CREATE TABLE offering_instructor (offering_instructor_id INTEGER, offering_id INTEGER, instructor_id INTEGER) CREATE TABLE semester (semester_id INTEGER, semester VARCHAR, year INTEGER) CREATE TABLE course_tags_count (course_id INTEGER, clear_grading INTEGER, pop_quiz INTEGER, group_projects INTEGER, inspirational INTEGER, long_lectures INTEGER, extra_credit INTEGER, few_tests INTEGER, good_feedback INTEGER, tough_tests INTEGER, heavy_papers INTEGER, cares_for_students INTEGER, heavy_assignments INTEGER, respected INTEGER, participation INTEGER, heavy_reading INTEGER, tough_grader INTEGER, hilarious INTEGER, would_take_again INTEGER, good_lecture INTEGER, no_skip INTEGER) CREATE TABLE 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 comment_instructor (instructor_id INTEGER, student_id INTEGER, score INTEGER, comment_text VARCHAR) CREATE TABLE area (course_id INTEGER, area VARCHAR) CREATE TABLE student_record (student_id INTEGER, course_id INTEGER, semester INTEGER, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR) CREATE TABLE program_requirement (program_id INTEGER, category VARCHAR, min_credit INTEGER, additional_req VARCHAR) CREATE TABLE 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 jobs (job_id INTEGER, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INTEGER) CREATE TABLE gsi (course_offering_id INTEGER, student_id INTEGER) CREATE TABLE requirement (requirement_id INTEGER, requirement VARCHAR, college VARCHAR)

PORTUG 301 is required for which programs ?

SELECT DISTINCT program.name FROM course INNER JOIN program_course ON program_course.course_id = course.course_id INNER JOIN program ON program.program_id = program_course.program_id WHERE course.department = 'PORTUG' AND course.number = 301

SELECT DISTINCT [program].[name] FROM [course] JOIN [program_course] ON [course].[course_id] = [program_course].[course_id] JOIN [program] ON [program].[program_id] = [program_course].[program_id] WHERE [course].[department] = 'PORTUG' AND [course].[number] = 301

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

Stackoverflow Top 100 users from Kerala.

SELECT ROW_NUMBER() OVER (ORDER BY Reputation DESC) AS "#", Id AS "user_link", Reputation FROM Users WHERE LOWER(Location) LIKE '%banglore%' OR UPPER(Location) LIKE '%BANGLORE' ORDER BY Reputation DESC LIMIT 100

SELECT TOP 100 ROW_NUMBER() OVER (ORDER BY [Reputation] DESC) AS [#], [Id] AS [user_link], [Reputation] FROM [Users] WHERE LOWER([Location]) LIKE '%banglore%' OR UPPER([Location]) LIKE '%BANGLORE' ORDER BY [Reputation] DESC

CREATE TABLE table_name_4 (record VARCHAR, game VARCHAR)

What is the record of game 7?

SELECT record FROM table_name_4 WHERE game = 7

SELECT [record] FROM [table_name_4] WHERE [game] = 7