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CREATE TABLE procedures_icd (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icd9_code VARCHAR(MAX), charttime TIME) CREATE TABLE d_icd_procedures (row_id NUMERIC, icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE d_icd_diagnoses (row_id NUMERIC, icd9_code VARCHAR(MAX), short_title VARCHAR(MAX), long_title VARCHAR(MAX)) CREATE TABLE diagnoses_icd (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, icd9_code VARCHAR(MAX), charttime TIME) CREATE TABLE 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 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 microbiologyevents (row_id NUMERIC, subject_id NUMERIC, hadm_id NUMERIC, charttime TIME, spec_type_desc VARCHAR(MAX), org_name 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 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 d_items (row_id NUMERIC, itemid NUMERIC, label VARCHAR(MAX), linksto 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 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 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)

when did the last microbiology test take place for patient 26313 in 03/last year?

SELECT microbiologyevents.charttime FROM microbiologyevents WHERE microbiologyevents.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 26313) AND DATETIME(microbiologyevents.charttime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND STRFTIME('%m', microbiologyevents.charttime) = '03' ORDER BY microbiologyevents.charttime DESC LIMIT 1

WITH [_u_0] AS (SELECT [admissions].[hadm_id] AS [hadm_id] FROM [admissions] WHERE [admissions].[subject_id] = 26313 GROUP BY [hadm_id]) SELECT TOP 1 [microbiologyevents].[charttime] FROM [microbiologyevents] LEFT JOIN [_u_0] AS [_u_0] ON [_u_0].[] = [microbiologyevents].[hadm_id] WHERE DATETIME([microbiologyevents].[charttime], 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') AND NOT [_u_0].[] IS NULL AND STRFTIME('%m', [microbiologyevents].[charttime]) = '03' ORDER BY [microbiologyevents].[charttime] DESC

CREATE TABLE PostNoticeTypes (Id NUMERIC, ClassId NUMERIC, Name VARCHAR(MAX), Body VARCHAR(MAX), IsHidden BIT, Predefined BIT, PostNoticeDurationId NUMERIC) CREATE TABLE VoteTypes (Id NUMERIC, Name VARCHAR(MAX)) CREATE TABLE CloseAsOffTopicReasonTypes (Id NUMERIC, IsUniversal BIT, InputTitle VARCHAR(MAX), MarkdownInputGuidance VARCHAR(MAX), MarkdownPostOwnerGuidance VARCHAR(MAX), MarkdownPrivilegedUserGuidance VARCHAR(MAX), MarkdownConcensusDescription VARCHAR(MAX), CreationDate TIME, CreationModeratorId NUMERIC, ApprovalDate TIME, ApprovalModeratorId NUMERIC, DeactivationDate TIME, DeactivationModeratorId NUMERIC) 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 ReviewTaskResultTypes (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 ReviewTaskTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE SuggestedEditVotes (Id NUMERIC, SuggestedEditId NUMERIC, UserId NUMERIC, VoteTypeId NUMERIC, CreationDate TIME, TargetUserId NUMERIC, TargetRepChange NUMERIC) CREATE TABLE FlagTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE PostFeedback (Id NUMERIC, PostId NUMERIC, IsAnonymous BIT, VoteTypeId NUMERIC, CreationDate TIME) CREATE TABLE PendingFlags (Id NUMERIC, FlagTypeId NUMERIC, PostId NUMERIC, CreationDate TIME, CloseReasonTypeId NUMERIC, CloseAsOffTopicReasonTypeId NUMERIC, DuplicateOfQuestionId NUMERIC, BelongsOnBaseHostAddress VARCHAR(MAX)) CREATE TABLE ReviewTasks (Id NUMERIC, ReviewTaskTypeId NUMERIC, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId NUMERIC, PostId NUMERIC, SuggestedEditId NUMERIC, CompletedByReviewTaskId 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 Votes (Id NUMERIC, PostId NUMERIC, VoteTypeId NUMERIC, UserId NUMERIC, CreationDate TIME, BountyAmount NUMERIC) CREATE TABLE ReviewTaskResults (Id NUMERIC, ReviewTaskId NUMERIC, ReviewTaskResultTypeId NUMERIC, CreationDate TIME, RejectionReasonId NUMERIC, Comment VARCHAR(MAX)) 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 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 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 PostTags (PostId NUMERIC, TagId NUMERIC) CREATE TABLE Comments (Id NUMERIC, PostId NUMERIC, Score NUMERIC, Text VARCHAR(MAX), CreationDate TIME, UserDisplayName VARCHAR(MAX), UserId NUMERIC, ContentLicense VARCHAR(MAX)) CREATE TABLE PostHistoryTypes (Id NUMERIC, Name VARCHAR(MAX)) CREATE TABLE PostTypes (Id NUMERIC, Name VARCHAR(MAX)) CREATE TABLE ReviewTaskStates (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE CloseReasonTypes (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX)) CREATE TABLE ReviewRejectionReasons (Id NUMERIC, Name VARCHAR(MAX), Description VARCHAR(MAX), PostTypeId 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))

Users who have answered the most distinct questions.

SELECT A.OwnerUserId AS "user_link", COUNT(DISTINCT A.ParentId) AS "distinct_questions_answered" FROM Posts AS A WHERE A.PostTypeId = 2 AND A.OwnerUserId > 0 GROUP BY A.OwnerUserId ORDER BY 'distinct_questions_answered' DESC

SELECT [A].[owneruserid] AS [user_link], COUNT(DISTINCT [A].[parentid]) AS [distinct_questions_answered] FROM [Posts] AS [A] WHERE [A].[owneruserid] > 0 AND [A].[posttypeid] = 2 GROUP BY [A].[owneruserid] ORDER BY 'distinct_questions_answered' DESC

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) 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) 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)

For those employees who do not work in departments with managers that have ids between 100 and 200, a bar chart shows the distribution of first_name and department_id , and I want to list by the Y in descending.

SELECT FIRST_NAME, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY DEPARTMENT_ID DESC

SELECT [FIRST_NAME], [DEPARTMENT_ID] FROM [employees] WHERE NOT [DEPARTMENT_ID] IN (SELECT [DEPARTMENT_ID] FROM [departments] WHERE [MANAGER_ID] <= 200 AND [MANAGER_ID] >= 100) ORDER BY [DEPARTMENT_ID] DESC

CREATE TABLE table_204_93 (id NUMERIC, [round] NUMERIC, [pick] NUMERIC, [player] VARCHAR(MAX), [position] VARCHAR(MAX), [nationality] VARCHAR(MAX), [team] VARCHAR(MAX), [college] VARCHAR(MAX))

number of picks the st. louis hawks made in the draft

SELECT COUNT("player") FROM table_204_93 WHERE "team" = 'st. louis hawks'

SELECT COUNT([player]) FROM [table_204_93] WHERE [team] = 'st. louis hawks'

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

What is the easiest class I can take that will fulfill the ULCS requirement ?

SELECT DISTINCT course.department, course.name, course.number, program_course.workload, program_course.workload FROM course, program_course WHERE program_course.category LIKE '%ULCS%' AND program_course.course_id = course.course_id AND program_course.workload = (SELECT MIN(PROGRAM_COURSEalias1.workload) FROM program_course AS PROGRAM_COURSEalias1 WHERE PROGRAM_COURSEalias1.category LIKE '%ULCS%')

WITH [_u_0] AS (SELECT MIN([PROGRAM_COURSEalias1].[workload]) AS _col_0 FROM [program_course] AS [PROGRAM_COURSEalias1] WHERE [PROGRAM_COURSEalias1].[category] LIKE '%ULCS%') SELECT DISTINCT [course].[department], [course].[name], [course].[number], [program_course].[workload], [program_course].[workload] FROM [course] JOIN [program_course] ON [course].[course_id] = [program_course].[course_id] AND [program_course].[category] LIKE '%ULCS%' JOIN [_u_0] AS [_u_0] ON [_u_0].[] = [program_course].[workload]

CREATE TABLE table_71554 ([Name] VARCHAR(MAX), [Years] VARCHAR(MAX), [Gender] VARCHAR(MAX), [Area] VARCHAR(MAX), [Authority] VARCHAR(MAX), [Decile] FLOAT, [Roll] FLOAT)

What is the lowest Decile for a school with a roll smaller than 3?

SELECT MIN("Decile") FROM table_71554 WHERE "Roll" < '3'

SELECT MIN([Decile]) FROM [table_71554] WHERE [Roll] < '3'

CREATE TABLE table_65105 ([Nat.] VARCHAR(MAX), [Name] VARCHAR(MAX), [Moving from] VARCHAR(MAX), [Type] VARCHAR(MAX), [Transfer window] VARCHAR(MAX), [Ends] FLOAT, [Transfer fee] VARCHAR(MAX))

What was the transfer fee when the moving from was celta de Vigo?

SELECT "Transfer fee" FROM table_65105 WHERE "Moving from" = 'celta de vigo'

SELECT [Transfer fee] FROM [table_65105] WHERE [Moving from] = 'celta de vigo'

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 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 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))

provide the number of patients whose admission year is less than 2114 and lab test name is quantitative g6pd?

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2114" AND lab.label = "Quantitative G6PD"

SELECT COUNT(DISTINCT [demographic].[subject_id]) FROM [demographic] JOIN [lab] ON [Quantitative G6PD] = [lab].[label] AND [demographic].[hadm_id] = [lab].[hadm_id] WHERE [2114] > [demographic].[admityear]

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 course (course_id INTEGER, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INTEGER, num_enrolled INTEGER, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INTEGER, clarity_score INTEGER, easiness_score INTEGER, helpfulness_score INTEGER) CREATE TABLE program_course (program_id INTEGER, course_id INTEGER, workload INTEGER, category VARCHAR) CREATE TABLE comment_instructor (instructor_id INTEGER, student_id INTEGER, score INTEGER, comment_text VARCHAR) CREATE TABLE course_tags_count (course_id INTEGER, clear_grading INTEGER, pop_quiz INTEGER, group_projects INTEGER, inspirational INTEGER, long_lectures INTEGER, extra_credit INTEGER, few_tests INTEGER, good_feedback INTEGER, tough_tests INTEGER, heavy_papers INTEGER, cares_for_students INTEGER, heavy_assignments INTEGER, respected INTEGER, participation INTEGER, heavy_reading INTEGER, tough_grader INTEGER, hilarious INTEGER, would_take_again INTEGER, good_lecture INTEGER, no_skip INTEGER) CREATE TABLE program (program_id INTEGER, name VARCHAR, college VARCHAR, introduction VARCHAR) CREATE TABLE requirement (requirement_id INTEGER, requirement VARCHAR, college VARCHAR) CREATE TABLE gsi (course_offering_id INTEGER, student_id INTEGER) CREATE TABLE program_requirement (program_id INTEGER, category VARCHAR, min_credit INTEGER, additional_req VARCHAR) CREATE TABLE course_prerequisite (pre_course_id INTEGER, course_id INTEGER) CREATE TABLE jobs (job_id INTEGER, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INTEGER) CREATE TABLE offering_instructor (offering_instructor_id INTEGER, offering_id INTEGER, instructor_id INTEGER) CREATE TABLE ta (campus_job_id INTEGER, student_id INTEGER, location 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 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 semester (semester_id INTEGER, semester VARCHAR, year INTEGER) CREATE TABLE area (course_id INTEGER, area VARCHAR) CREATE TABLE instructor (instructor_id INTEGER, name VARCHAR, uniqname VARCHAR)

In order for me to graduate will I need to take LAW 682 ?

SELECT COUNT(*) > 0 FROM course, program_course WHERE course.department = 'LAW' AND course.number = 682 AND program_course.category LIKE '%Core%' AND program_course.course_id = course.course_id

SELECT COUNT(*) > 0 FROM [course] JOIN [program_course] ON [course].[course_id] = [program_course].[course_id] AND [program_course].[category] LIKE '%Core%' WHERE [course].[department] = 'LAW' AND [course].[number] = 682

CREATE TABLE table_name_56 (record VARCHAR, score VARCHAR)

What record has a score of 111-96?

SELECT record FROM table_name_56 WHERE score = "111-96"

SELECT [record] FROM [table_name_56] WHERE [111-96] = [score]

CREATE TABLE table_name_35 (sr INTEGER, runs_scored VARCHAR, average VARCHAR)

How many S.R. that has Runs Scored of 161 and an Average larger than 26.83?

SELECT SUM(sr) FROM table_name_35 WHERE runs_scored = 161 AND average > 26.83

SELECT SUM([sr]) FROM [table_name_35] WHERE [average] > 26.83 AND [runs_scored] = 161

CREATE TABLE table_28884858_2 (team VARCHAR, capacity_percentage VARCHAR)

How many teams had a 99.3% capacity rating?

SELECT COUNT(team) FROM table_28884858_2 WHERE capacity_percentage = "99.3%"

SELECT COUNT([team]) FROM [table_28884858_2] WHERE [99.3%] = [capacity_percentage]

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

provide the number of patients whose diagnoses long title is pure hypercholesterolemia and lab test abnormal status is delta?

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Pure hypercholesterolemia" AND lab.flag = "delta"

SELECT COUNT(DISTINCT [demographic].[subject_id]) FROM [demographic] JOIN [diagnoses] ON [Pure hypercholesterolemia] = [diagnoses].[long_title] AND [demographic].[hadm_id] = [diagnoses].[hadm_id] JOIN [lab] ON [delta] = [lab].[flag] AND [demographic].[hadm_id] = [lab].[hadm_id]

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

For those records from the products and each product's manufacturer, find name and the average of price , and group by attribute name, and visualize them by a bar chart, could you list in asc by the y axis please?

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

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

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

what is procedure short title and lab test name of subject name michelle skidmore?

SELECT procedures.short_title, lab.label FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.name = "Michelle Skidmore"

SELECT [procedures].[short_title], [lab].[label] FROM [demographic] JOIN [lab] ON [demographic].[hadm_id] = [lab].[hadm_id] JOIN [procedures] ON [demographic].[hadm_id] = [procedures].[hadm_id] WHERE [Michelle Skidmore] = [demographic].[name]

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 airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INTEGER, direction VARCHAR, minutes_distant 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 dual_carrier (main_airline VARCHAR, low_flight_number INTEGER, high_flight_number INTEGER, dual_airline VARCHAR, service_name VARCHAR(MAX)) CREATE TABLE class_of_service (booking_class VARCHAR, rank INTEGER, class_description VARCHAR(MAX)) CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR) CREATE TABLE days (days_code VARCHAR, day_name VARCHAR) CREATE TABLE flight_fare (flight_id INTEGER, fare_id INTEGER) CREATE TABLE time_zone (time_zone_code VARCHAR(MAX), time_zone_name VARCHAR(MAX), hours_from_gmt INTEGER) CREATE TABLE ground_service (city_code VARCHAR(MAX), airport_code VARCHAR(MAX), transport_type VARCHAR(MAX), ground_fare INTEGER) CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR) 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 code_description (code VARCHAR, description VARCHAR(MAX)) CREATE TABLE state (state_code VARCHAR(MAX), state_name VARCHAR(MAX), country_name VARCHAR(MAX)) CREATE TABLE airport (airport_code VARCHAR, airport_name VARCHAR(MAX), airport_location VARCHAR(MAX), state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INTEGER) CREATE TABLE airline (airline_code VARCHAR, airline_name VARCHAR(MAX), note VARCHAR(MAX)) CREATE TABLE time_interval (period VARCHAR(MAX), begin_time INTEGER, end_time INTEGER) CREATE TABLE date_day (month_number INTEGER, day_number INTEGER, year INTEGER, day_name VARCHAR) CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR) CREATE TABLE month (month_number INTEGER, month_name VARCHAR(MAX)) 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 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 food_service (meal_code VARCHAR(MAX), meal_number INTEGER, compartment VARCHAR(MAX), meal_description VARCHAR) CREATE TABLE flight_leg (flight_id INTEGER, leg_number INTEGER, leg_flight INTEGER) CREATE TABLE flight (aircraft_code_sequence VARCHAR(MAX), airline_code VARCHAR, airline_flight VARCHAR(MAX), arrival_time INTEGER, connections INTEGER, departure_time INTEGER, dual_carrier VARCHAR(MAX), flight_days VARCHAR(MAX), flight_id INTEGER, flight_number INTEGER, from_airport VARCHAR, meal_code VARCHAR(MAX), stops INTEGER, time_elapsed INTEGER, to_airport VARCHAR)

from DENVER to WASHINGTON on monday 11 11 1991

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, date_day, days, flight WHERE (CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'WASHINGTON' AND date_day.day_number = 11 AND date_day.month_number = 11 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.flight_days = days.days_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'DENVER' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code

SELECT DISTINCT [flight].[flight_id] FROM [airport_service] AS [AIRPORT_SERVICE_0] JOIN [date_day] ON [date_day].[day_number] = 11 AND [date_day].[month_number] = 11 AND [date_day].[year] = 1991 JOIN [city] AS [CITY_0] ON [AIRPORT_SERVICE_0].[city_code] = [CITY_0].[city_code] AND [CITY_0].[city_name] = 'DENVER' JOIN [days] ON [date_day].[day_name] = [days].[day_name] JOIN [flight] ON [AIRPORT_SERVICE_0].[airport_code] = [flight].[from_airport] AND [days].[days_code] = [flight].[flight_days] 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] = 'WASHINGTON'

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

what is the top five most frequent output events in this year?

SELECT t1.celllabel FROM (SELECT intakeoutput.celllabel, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM intakeoutput WHERE intakeoutput.cellpath LIKE '%output%' AND DATETIME(intakeoutput.intakeoutputtime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY intakeoutput.celllabel) AS t1 WHERE t1.c1 <= 5

WITH [t1] AS (SELECT [intakeoutput].[celllabel] AS [celllabel], DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS [c1] FROM [intakeoutput] WHERE [intakeoutput].[cellpath] LIKE '%output%' AND DATETIME([intakeoutput].[intakeoutputtime], 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-0 year') GROUP BY [intakeoutput].[celllabel]) SELECT [t1].[celllabel] FROM [t1] AS [t1] WHERE [t1].[c1] <= 5