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determined-ai

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text-to-sql-medium

like 1

Draw a bar chart about the distribution of meter_200 and the sum of ID , and group by attribute meter_200, rank in descending by the y axis.

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

SELECT meter_200, SUM(ID) FROM swimmer GROUP BY meter_200 ORDER BY SUM(ID) DESC

provide the number of patients whose days of hospital stay is greater than 69 and drug code is metr500?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "69" AND prescriptions.formulary_drug_cd = "METR500"

Show the countries that have managers of age above 50 or below 46, and count them by a bar chart, and sort in ascending by the bar.

CREATE TABLE manager ( Manager_ID int, Name text, Country text, Working_year_starts text, Age int, Level int ) CREATE TABLE railway_manage ( Railway_ID int, Manager_ID int, From_Year text ) CREATE TABLE train ( Train_ID int, Train_Num text, Name text, From text, Arrival text, Railway_ID int ) CREATE TABLE railway ( Railway_ID int, Railway text, Builder text, Built text, Wheels text, Location text, ObjectNumber text )

SELECT Country, COUNT(Country) FROM manager WHERE Age > 50 OR Age < 46 GROUP BY Country ORDER BY Country

How many distinct cities does the employees live in?

CREATE TABLE playlisttrack ( playlistid number, trackid number ) CREATE TABLE playlist ( playlistid number, name text ) CREATE TABLE genre ( genreid number, name text ) CREATE TABLE track ( trackid number, name text, albumid number, mediatypeid number, genreid number, composer text, milliseconds number, bytes number, unitprice number ) CREATE TABLE artist ( artistid number, name text ) CREATE TABLE mediatype ( mediatypeid number, name text ) CREATE TABLE customer ( customerid number, firstname text, lastname text, company text, address text, city text, state text, country text, postalcode text, phone text, fax text, email text, supportrepid number ) CREATE TABLE employee ( employeeid number, lastname text, firstname text, title text, reportsto number, birthdate time, hiredate time, address text, city text, state text, country text, postalcode text, phone text, fax text, email text ) CREATE TABLE album ( albumid number, title text, artistid number ) CREATE TABLE invoice ( invoiceid number, customerid number, invoicedate time, billingaddress text, billingcity text, billingstate text, billingcountry text, billingpostalcode text, total number ) CREATE TABLE invoiceline ( invoicelineid number, invoiceid number, trackid number, unitprice number, quantity number )

SELECT COUNT(DISTINCT city) FROM employee

What are the number of the wines that have prices lower than 50 and have appelations in Monterey county?, and display by the x-axis in desc.

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

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 Name DESC

How many departments for each building? Draw a bar chart.

CREATE TABLE classroom ( building varchar(15), room_number varchar(7), capacity numeric(4,0) ) CREATE TABLE student ( ID varchar(5), name varchar(20), dept_name varchar(20), tot_cred numeric(3,0) ) CREATE TABLE takes ( ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2) ) CREATE TABLE instructor ( ID varchar(5), name varchar(20), dept_name varchar(20), salary numeric(8,2) ) CREATE TABLE section ( course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), building varchar(15), room_number varchar(7), time_slot_id varchar(4) ) CREATE TABLE course ( course_id varchar(8), title varchar(50), dept_name varchar(20), credits numeric(2,0) ) CREATE TABLE advisor ( s_ID varchar(5), i_ID varchar(5) ) CREATE TABLE teaches ( ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0) ) CREATE TABLE time_slot ( time_slot_id varchar(4), day varchar(1), start_hr numeric(2), start_min numeric(2), end_hr numeric(2), end_min numeric(2) ) CREATE TABLE department ( dept_name varchar(20), building varchar(15), budget numeric(12,2) ) CREATE TABLE prereq ( course_id varchar(8), prereq_id varchar(8) )

SELECT building, COUNT(building) FROM department GROUP BY building

what is admission location and discharge location of subject id 84129?

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

SELECT demographic.admission_location, demographic.discharge_location FROM demographic WHERE demographic.subject_id = "84129"

How many documents for each document type description? Visualize by a bar chart, sort from low to high by the bar.

CREATE TABLE Ref_Budget_Codes ( Budget_Type_Code CHAR(15), Budget_Type_Description VARCHAR(255) ) CREATE TABLE Documents_with_Expenses ( Document_ID INTEGER, Budget_Type_Code CHAR(15), Document_Details VARCHAR(255) ) CREATE TABLE Statements ( Statement_ID INTEGER, Statement_Details VARCHAR(255) ) CREATE TABLE Accounts ( Account_ID INTEGER, Statement_ID INTEGER, Account_Details VARCHAR(255) ) CREATE TABLE Projects ( Project_ID INTEGER, Project_Details VARCHAR(255) ) CREATE TABLE Documents ( Document_ID INTEGER, Document_Type_Code CHAR(15), Project_ID INTEGER, Document_Date DATETIME, Document_Name VARCHAR(255), Document_Description VARCHAR(255), Other_Details VARCHAR(255) ) CREATE TABLE Ref_Document_Types ( Document_Type_Code CHAR(15), Document_Type_Name VARCHAR(255), Document_Type_Description VARCHAR(255) )

SELECT Document_Type_Description, COUNT(Document_Type_Description) FROM Ref_Document_Types AS T1 JOIN Documents AS T2 ON T1.Document_Type_Code = T2.Document_Type_Code GROUP BY Document_Type_Description ORDER BY Document_Type_Description

count the number of patients whose diagnoses long title is morbid obesity and lab test category is chemistry?

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

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 = "Morbid obesity" AND lab."CATEGORY" = "Chemistry"

how many patients uses the drug code quet25?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.formulary_drug_cd = "QUET25"

provide the marital status of subject id 2560.

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

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

How many patients were born before the year 2031?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.dob_year < "2031"

Show employee_id from each email, could you show x axis in ascending order?

CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) )

SELECT EMAIL, EMPLOYEE_ID FROM employees ORDER BY EMAIL

Count the number of courses without prerequisites.

CREATE TABLE takes ( id text, course_id text, sec_id text, semester text, year number, grade text ) CREATE TABLE classroom ( building text, room_number text, capacity number ) CREATE TABLE teaches ( id text, course_id text, sec_id text, semester text, year number ) CREATE TABLE time_slot ( time_slot_id text, day text, start_hr number, start_min number, end_hr number, end_min number ) CREATE TABLE instructor ( id text, name text, dept_name text, salary number ) CREATE TABLE department ( dept_name text, building text, budget number ) CREATE TABLE section ( course_id text, sec_id text, semester text, year number, building text, room_number text, time_slot_id text ) CREATE TABLE advisor ( s_id text, i_id text ) CREATE TABLE course ( course_id text, title text, dept_name text, credits number ) CREATE TABLE student ( id text, name text, dept_name text, tot_cred number ) CREATE TABLE prereq ( course_id text, prereq_id text )

SELECT COUNT(*) FROM course WHERE NOT course_id IN (SELECT course_id FROM prereq)

how many single patients are diagnosed with migrne unsp wo ntrc mgrn?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.marital_status = "SINGLE" AND diagnoses.short_title = "Migrne unsp wo ntrc mgrn"

Show me about the distribution of Days and the average of Instructor , and group by attribute Days in a bar chart.

CREATE TABLE Faculty ( FacID INTEGER, Lname VARCHAR(15), Fname VARCHAR(15), Rank VARCHAR(15), Sex VARCHAR(1), Phone INTEGER, Room VARCHAR(5), Building VARCHAR(13) ) CREATE TABLE Student ( StuID INTEGER, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) ) CREATE TABLE Enrolled_in ( StuID INTEGER, CID VARCHAR(7), Grade VARCHAR(2) ) CREATE TABLE Member_of ( FacID INTEGER, DNO INTEGER, Appt_Type VARCHAR(15) ) CREATE TABLE Minor_in ( StuID INTEGER, DNO INTEGER ) CREATE TABLE Gradeconversion ( lettergrade VARCHAR(2), gradepoint FLOAT ) CREATE TABLE Course ( CID VARCHAR(7), CName VARCHAR(40), Credits INTEGER, Instructor INTEGER, Days VARCHAR(5), Hours VARCHAR(11), DNO INTEGER ) CREATE TABLE Department ( DNO INTEGER, Division VARCHAR(2), DName VARCHAR(25), Room VARCHAR(5), Building VARCHAR(13), DPhone INTEGER )

SELECT Days, AVG(Instructor) FROM Course GROUP BY Days ORDER BY Credits

Give me a bar chart that the X-axis is the date_moved_in and the Y-axis is Count them, could you show by the bar in ascending please?

CREATE TABLE Properties ( property_id INTEGER, property_type_code CHAR(15), property_address VARCHAR(255), other_details VARCHAR(255) ) CREATE TABLE Residents ( resident_id INTEGER, property_id INTEGER, date_moved_in DATETIME, date_moved_out DATETIME, other_details VARCHAR(255) ) CREATE TABLE Customer_Event_Notes ( Customer_Event_Note_ID INTEGER, Customer_Event_ID INTEGER, service_type_code CHAR(15), resident_id INTEGER, property_id INTEGER, date_moved_in DATETIME ) CREATE TABLE Customers ( customer_id INTEGER, customer_details VARCHAR(255) ) CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER, Date_and_Time DATETIME, Location_Code CHAR(15) ) CREATE TABLE Timed_Status_of_Things ( thing_id INTEGER, Date_and_Date DATETIME, Status_of_Thing_Code CHAR(15) ) CREATE TABLE Things ( thing_id INTEGER, organization_id INTEGER, Type_of_Thing_Code CHAR(15), service_type_code CHAR(10), service_details VARCHAR(255) ) CREATE TABLE Customer_Events ( Customer_Event_ID INTEGER, customer_id INTEGER, date_moved_in DATETIME, property_id INTEGER, resident_id INTEGER, thing_id INTEGER ) CREATE TABLE Services ( service_id INTEGER, organization_id INTEGER, service_type_code CHAR(15), service_details VARCHAR(255) ) CREATE TABLE Residents_Services ( resident_id INTEGER, service_id INTEGER, date_moved_in DATETIME, property_id INTEGER, date_requested DATETIME, date_provided DATETIME, other_details VARCHAR(255) ) CREATE TABLE Organizations ( organization_id INTEGER, parent_organization_id INTEGER, organization_details VARCHAR(255) )

SELECT date_moved_in, COUNT(date_moved_in) FROM Customer_Events GROUP BY date_moved_in ORDER BY date_moved_in

how many patients who stayed in hospital for more than 29 days had nu roue of drug administration?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "29" AND prescriptions.route = "NU"

how many patients discharged to snf had incision of aorta procedure?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "SNF" AND procedures.short_title = "Incision of aorta"

what is date of birth and admission time of subject name fernando wontor?

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

SELECT demographic.dob, demographic.admittime FROM demographic WHERE demographic.name = "Fernando Wontor"

among patients aged below 45, calculate the total number of those to whom drug was adminitered via ih route?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "45" AND prescriptions.route = "IH"

Just plot the manager id and the department id in a scatter chart.

CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) )

SELECT T1.MANAGER_ID, T1.DEPARTMENT_ID FROM employees AS T1 JOIN departments AS T2 ON T1.DEPARTMENT_ID = T2.DEPARTMENT_ID WHERE T1.EMPLOYEE_ID = T2.MANAGER_ID

calculate the minimum age of male patients who were discharged to long term hospital care.

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

SELECT MIN(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.discharge_location = "LONG TERM CARE HOSPITAL"

how many urgent hospital admission patients have diagnoses icd9 code 99813?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "URGENT" AND diagnoses.icd9_code = "99813"

For those employees who do not work in departments with managers that have ids between 100 and 200, visualize a bar chart about the distribution of hire_date and the sum of manager_id bin hire_date by time, could you rank by the total number of manager id from high to low?

CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) )

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

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, give me the comparison about the sum of manager_id over the job_id , and group by attribute job_id by a bar chart, and list total number from low to high order please.

CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) )

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

get me the number of urgent hospital admission patients who stayed in hospital for more than 3 days.

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "URGENT" AND demographic.days_stay > "3"

What are all the calendar dates and day Numbers?

CREATE TABLE document_locations ( document_id number, location_code text, date_in_location_from time, date_in_locaton_to time ) CREATE TABLE all_documents ( document_id number, date_stored time, document_type_code text, document_name text, document_description text, other_details text ) CREATE TABLE ref_locations ( location_code text, location_name text, location_description text ) CREATE TABLE roles ( role_code text, role_name text, role_description text ) CREATE TABLE documents_to_be_destroyed ( document_id number, destruction_authorised_by_employee_id number, destroyed_by_employee_id number, planned_destruction_date time, actual_destruction_date time, other_details text ) CREATE TABLE ref_document_types ( document_type_code text, document_type_name text, document_type_description text ) CREATE TABLE ref_calendar ( calendar_date time, day_number number ) CREATE TABLE employees ( employee_id number, role_code text, employee_name text, gender_mfu text, date_of_birth time, other_details text )

SELECT calendar_date, day_number FROM ref_calendar

Calculate the number of patients with insertion of endotracheal tube who have an unspecified death status

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "0" AND procedures.long_title = "Insertion of endotracheal tube"

among patients treated with drug psyllium, how many of them were aged below 48?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "48" AND prescriptions.drug = "Psyllium"

Count the number of patients who were admitted to the hospital before the year 2157 and have diagnosis short title as intermediate coronary syndrome

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2157" AND diagnoses.short_title = "Intermed coronary synd"

What are the employee ids for those who had two or more jobs.

CREATE TABLE locations ( location_id number, street_address text, postal_code text, city text, state_province text, country_id text ) CREATE TABLE job_history ( employee_id number, start_date time, end_date time, job_id text, department_id number ) CREATE TABLE countries ( country_id text, country_name text, region_id number ) CREATE TABLE employees ( employee_id number, first_name text, last_name text, email text, phone_number text, hire_date time, job_id text, salary number, commission_pct number, manager_id number, department_id number ) CREATE TABLE regions ( region_id number, region_name text ) CREATE TABLE jobs ( job_id text, job_title text, min_salary number, max_salary number ) CREATE TABLE departments ( department_id number, department_name text, manager_id number, location_id number )

SELECT employee_id FROM job_history GROUP BY employee_id HAVING COUNT(*) >= 2

give me the number of patients whose marital status is married and year of death is less than or equal to 2112?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.marital_status = "MARRIED" AND demographic.dod_year <= "2112.0"

give me the number of patients whose days of hospital stay is greater than 27 and diagnoses short title is intermed coronary synd?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "27" AND diagnoses.short_title = "Intermed coronary synd"

Visualize a bar chart for showing the total number of different product type codes, and order from low to high by the total number.

CREATE TABLE Channels ( Channel_ID INTEGER, Other_Details VARCHAR(255) ) CREATE TABLE Products_in_Events ( Product_in_Event_ID INTEGER, Event_ID INTEGER, Product_ID INTEGER ) CREATE TABLE Agreements ( Document_ID INTEGER, Event_ID INTEGER ) CREATE TABLE Parties ( Party_ID INTEGER, Party_Details VARCHAR(255) ) CREATE TABLE Finances ( Finance_ID INTEGER, Other_Details VARCHAR(255) ) CREATE TABLE Parties_in_Events ( Party_ID INTEGER, Event_ID INTEGER, Role_Code CHAR(15) ) CREATE TABLE Assets_in_Events ( Asset_ID INTEGER, Event_ID INTEGER ) CREATE TABLE Addresses ( Address_ID INTEGER, address_details VARCHAR(255) ) CREATE TABLE Locations ( Location_ID INTEGER, Other_Details VARCHAR(255) ) CREATE TABLE Assets ( Asset_ID INTEGER, Other_Details VARCHAR(255) ) CREATE TABLE Events ( Event_ID INTEGER, Address_ID INTEGER, Channel_ID INTEGER, Event_Type_Code CHAR(15), Finance_ID INTEGER, Location_ID INTEGER ) CREATE TABLE Products ( Product_ID INTEGER, Product_Type_Code CHAR(15), Product_Name VARCHAR(255), Product_Price DECIMAL(20,4) )

SELECT Product_Type_Code, COUNT(Product_Type_Code) FROM Products GROUP BY Product_Type_Code ORDER BY COUNT(Product_Type_Code)

how many patients have born before the year 2134 with the primary disease transient ischemic attack?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "TRANSIENT ISCHEMIC ATTACK" AND demographic.dob_year < "2134"

give me the number of patients whose admission type is emergency and procedure short title is vaccination nec?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND procedures.short_title = "Vaccination NEC"

Provide me the list of patients less than 79 years of age who have stayed in the hospital for more than 27 days.

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.age < "79" AND demographic.days_stay > "27"

For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about salary over the first_name by a bar chart, and could you show X-axis in descending order?

CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) )

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

What are the ids and details for all organizations that have grants of more than 6000 dollars. Show a pie chart.

CREATE TABLE Document_Types ( document_type_code VARCHAR(10), document_description VARCHAR(255) ) CREATE TABLE Organisations ( organisation_id INTEGER, organisation_type VARCHAR(10), organisation_details VARCHAR(255) ) CREATE TABLE Organisation_Types ( organisation_type VARCHAR(10), organisation_type_description VARCHAR(255) ) CREATE TABLE Staff_Roles ( role_code VARCHAR(10), role_description VARCHAR(255) ) CREATE TABLE Tasks ( task_id INTEGER, project_id INTEGER, task_details VARCHAR(255), "eg Agree Objectives" VARCHAR(1) ) CREATE TABLE Project_Staff ( staff_id DOUBLE, project_id INTEGER, role_code VARCHAR(10), date_from DATETIME, date_to DATETIME, other_details VARCHAR(255) ) CREATE TABLE Research_Outcomes ( outcome_code VARCHAR(10), outcome_description VARCHAR(255) ) CREATE TABLE Grants ( grant_id INTEGER, organisation_id INTEGER, grant_amount DECIMAL(19,4), grant_start_date DATETIME, grant_end_date DATETIME, other_details VARCHAR(255) ) CREATE TABLE Research_Staff ( staff_id INTEGER, employer_organisation_id INTEGER, staff_details VARCHAR(255) ) CREATE TABLE Projects ( project_id INTEGER, organisation_id INTEGER, project_details VARCHAR(255) ) CREATE TABLE Documents ( document_id INTEGER, document_type_code VARCHAR(10), grant_id INTEGER, sent_date DATETIME, response_received_date DATETIME, other_details VARCHAR(255) ) CREATE TABLE Project_Outcomes ( project_id INTEGER, outcome_code VARCHAR(10), outcome_details VARCHAR(255) )

SELECT T2.organisation_details, T1.organisation_id FROM Grants AS T1 JOIN Organisations AS T2 ON T1.organisation_id = T2.organisation_id GROUP BY T2.organisation_details

how many patients whose admission year is less than 2145 and diagnoses icd9 code is 58089?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2145" AND diagnoses.icd9_code = "58089"

Pie chart. what is the project id and detail for the project with at least two documents?

CREATE TABLE Ref_Budget_Codes ( Budget_Type_Code CHAR(15), Budget_Type_Description VARCHAR(255) ) CREATE TABLE Documents ( Document_ID INTEGER, Document_Type_Code CHAR(15), Project_ID INTEGER, Document_Date DATETIME, Document_Name VARCHAR(255), Document_Description VARCHAR(255), Other_Details VARCHAR(255) ) CREATE TABLE Statements ( Statement_ID INTEGER, Statement_Details VARCHAR(255) ) CREATE TABLE Ref_Document_Types ( Document_Type_Code CHAR(15), Document_Type_Name VARCHAR(255), Document_Type_Description VARCHAR(255) ) CREATE TABLE Projects ( Project_ID INTEGER, Project_Details VARCHAR(255) ) CREATE TABLE Accounts ( Account_ID INTEGER, Statement_ID INTEGER, Account_Details VARCHAR(255) ) CREATE TABLE Documents_with_Expenses ( Document_ID INTEGER, Budget_Type_Code CHAR(15), Document_Details VARCHAR(255) )

SELECT T1.Project_Details, T1.Project_ID FROM Projects AS T1 JOIN Documents AS T2 ON T1.Project_ID = T2.Project_ID

what is the number of private health insurance patients who have procedure icd9 code 311?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Private" AND procedures.icd9_code = "311"

what is the number of patients whose insurance is private and diagnoses short title is prim pulm hypertension?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Private" AND diagnoses.short_title = "Prim pulm hypertension"

Count the number of patients with diagnosis icd9 code 5570 and with drug type base.

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.icd9_code = "5570" AND prescriptions.drug_type = "BASE"

For those employees who do not work in departments with managers that have ids between 100 and 200, draw a line chart about the change of manager_id over hire_date , I want to rank by the X in ascending.

CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) )

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

how many patients belonging to white ethnic origin were admitted in the year less than or equal to 2120?

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

SELECT MAX(demographic.age) FROM demographic WHERE demographic.ethnicity = "WHITE" AND demographic.admityear >= "2120"

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, give me the comparison about the amount of job_id over the job_id , and group by attribute job_id, and sort by the y axis in desc.

CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) )

SELECT JOB_ID, COUNT(JOB_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID ORDER BY COUNT(JOB_ID) DESC

what is date of death and discharge time of subject id 94762?

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

SELECT demographic.dod, demographic.dischtime FROM demographic WHERE demographic.subject_id = "94762"

calculate the minimum age of patients with brain mass; intracranial hemorrhage primary disease who had psychiatric facility-partial hospitalization discharge.

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

SELECT MIN(demographic.age) FROM demographic WHERE demographic.discharge_location = "DISCH-TRAN TO PSYCH HOSP" AND demographic.diagnosis = "BRAIN MASS;INTRACRANIAL HEMORRHAGE"

autoencoder papers

CREATE TABLE writes ( paperid int, authorid int ) CREATE TABLE journal ( journalid int, journalname varchar ) CREATE TABLE keyphrase ( keyphraseid int, keyphrasename varchar ) CREATE TABLE paper ( paperid int, title varchar, venueid int, year int, numciting int, numcitedby int, journalid int ) CREATE TABLE cite ( citingpaperid int, citedpaperid int ) CREATE TABLE paperkeyphrase ( paperid int, keyphraseid int ) CREATE TABLE field ( fieldid int ) CREATE TABLE author ( authorid int, authorname varchar ) CREATE TABLE paperdataset ( paperid int, datasetid int ) CREATE TABLE paperfield ( fieldid int, paperid int ) CREATE TABLE venue ( venueid int, venuename varchar ) CREATE TABLE dataset ( datasetid int, datasetname varchar )

SELECT DISTINCT paper.paperid FROM keyphrase, paper, paperkeyphrase WHERE keyphrase.keyphrasename = 'autoencoder' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid

what is the number of patients less than 43 years who have transplant self medication program?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "43" AND prescriptions.drug = "Transplant Self Medication Program"

Plot the average of salary by grouped by hire date as a bar graph

CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) )

SELECT HIRE_DATE, AVG(SALARY) FROM employees

For those employees who was hired before 2002-06-21, find hire_date and the average of department_id bin hire_date by time, and visualize them by a bar chart, and could you show by the Y-axis from low to high please?

CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) )

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

Just show the first name and the manager id with a bar chart, and order in ascending by the total number.

CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) )

SELECT T1.FIRST_NAME, T1.MANAGER_ID FROM employees AS T1 JOIN departments AS T2 ON T1.DEPARTMENT_ID = T2.DEPARTMENT_ID WHERE T1.EMPLOYEE_ID = T2.MANAGER_ID ORDER BY T1.MANAGER_ID

For those employees who did not have any job in the past, draw a bar chart about the distribution of hire_date and the average of manager_id bin hire_date by weekday, sort in desc by the Y.

CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) )

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

Show the transaction type and the number of transactions Plot them as bar chart, show from low to high by the the total number .

CREATE TABLE Customers ( customer_id INTEGER, customer_first_name VARCHAR(20), customer_last_name VARCHAR(20), customer_address VARCHAR(255), customer_phone VARCHAR(255), customer_email VARCHAR(255), other_customer_details VARCHAR(255) ) CREATE TABLE Financial_Transactions ( transaction_id INTEGER, previous_transaction_id INTEGER, account_id INTEGER, card_id INTEGER, transaction_type VARCHAR(15), transaction_date DATETIME, transaction_amount DOUBLE, transaction_comment VARCHAR(255), other_transaction_details VARCHAR(255) ) CREATE TABLE Accounts ( account_id INTEGER, customer_id INTEGER, account_name VARCHAR(50), other_account_details VARCHAR(255) ) CREATE TABLE Customers_Cards ( card_id INTEGER, customer_id INTEGER, card_type_code VARCHAR(15), card_number VARCHAR(80), date_valid_from DATETIME, date_valid_to DATETIME, other_card_details VARCHAR(255) )

SELECT transaction_type, COUNT(*) FROM Financial_Transactions GROUP BY transaction_type ORDER BY COUNT(*)

how many patients whose days of hospital stay is greater than 30 and drug name is hydromorphone (dilaudid)?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "30" AND prescriptions.drug = "HYDROmorphone (Dilaudid)"

what is average age of patients whose insurance is private and discharge location is rehab/distinct part hosp?

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

SELECT AVG(demographic.age) FROM demographic WHERE demographic.insurance = "Private" AND demographic.discharge_location = "REHAB/DISTINCT PART HOSP"

how many patients with st elevated myocardial infarction/cardiac catheterization primary disease were admitted to hospital before 2135?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "ST ELEVATED MYOCARDIAL INFARCTION\CARDIAC CATH" AND demographic.admityear < "2135"

find the number of patients whose lab test name was specific gravity.

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.label = "Specific Gravity"

what is primary disease of subject name kelly gallardo?

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

SELECT demographic.diagnosis FROM demographic WHERE demographic.name = "Kelly Gallardo"

how many patients have stayed in the hospital for more than 1 day?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.days_stay > "1"

What are the id and name of the stations that have ever had more than 12 bikes available?

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

SELECT DISTINCT T1.id, T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available > 12

how many patients whose discharge location is snf and diagnoses long title is schizoaffective disorder, unspecified?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.discharge_location = "SNF" AND diagnoses.long_title = "Schizoaffective disorder, unspecified"

How many of the patients aged below 62 were admitted in hospital for more than 27 days?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.age < "62" AND demographic.days_stay > "27"

what is the number of patients whose drug code is eryt250 and lab test fluid is cerebrospinal fliuid (csf)?

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

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.formulary_drug_cd = "ERYT250" AND lab.fluid = "Cerebrospinal Fluid (CSF)"

How many courses have more than one prerequisite for each department? Visualize with a bar chart, and order x-axis in desc order.

CREATE TABLE prereq ( course_id varchar(8), prereq_id varchar(8) ) CREATE TABLE section ( course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), building varchar(15), room_number varchar(7), time_slot_id varchar(4) ) CREATE TABLE instructor ( ID varchar(5), name varchar(20), dept_name varchar(20), salary numeric(8,2) ) CREATE TABLE time_slot ( time_slot_id varchar(4), day varchar(1), start_hr numeric(2), start_min numeric(2), end_hr numeric(2), end_min numeric(2) ) CREATE TABLE takes ( ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0), grade varchar(2) ) CREATE TABLE teaches ( ID varchar(5), course_id varchar(8), sec_id varchar(8), semester varchar(6), year numeric(4,0) ) CREATE TABLE classroom ( building varchar(15), room_number varchar(7), capacity numeric(4,0) ) CREATE TABLE department ( dept_name varchar(20), building varchar(15), budget numeric(12,2) ) CREATE TABLE course ( course_id varchar(8), title varchar(50), dept_name varchar(20), credits numeric(2,0) ) CREATE TABLE student ( ID varchar(5), name varchar(20), dept_name varchar(20), tot_cred numeric(3,0) ) CREATE TABLE advisor ( s_ID varchar(5), i_ID varchar(5) )

SELECT dept_name, COUNT(dept_name) FROM course AS T1 JOIN prereq AS T2 ON T1.course_id = T2.course_id GROUP BY dept_name ORDER BY dept_name DESC

count the number of patients whose admission year is less than 2105?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admityear < "2105"

What are dates of birth of all the guests whose gender is 'Male', and count them by a bar chart, sort in ascending by the total number please.

CREATE TABLE Apartment_Buildings ( building_id INTEGER, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80) ) CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME, available_yn BIT ) CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER, apt_id INTEGER, guest_id INTEGER, booking_status_code CHAR(15), booking_start_date DATETIME, booking_end_date DATETIME ) CREATE TABLE Apartments ( apt_id INTEGER, building_id INTEGER, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5) ) CREATE TABLE Apartment_Facilities ( apt_id INTEGER, facility_code CHAR(15) ) CREATE TABLE Guests ( guest_id INTEGER, gender_code CHAR(1), guest_first_name VARCHAR(80), guest_last_name VARCHAR(80), date_of_birth DATETIME )

SELECT date_of_birth, COUNT(date_of_birth) FROM Guests WHERE gender_code = "Male" ORDER BY COUNT(date_of_birth)

give me the number of patients whose year of death is less than or equal to 2112 and drug code is sw100?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dod_year <= "2112.0" AND prescriptions.formulary_drug_cd = "SW100"

Find the dates on which more than one revisions were made.

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

SELECT date_of_latest_revision FROM catalogs GROUP BY date_of_latest_revision HAVING COUNT(*) > 1

what is the number of patients whose days of hospital stay is greater than 20 and procedure icd9 code is 9907?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "20" AND procedures.icd9_code = "9907"

How many patients born in or before 2111 are tested for cerebrospinal fluid?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dod_year <= "2111.0" AND lab.fluid = "Cerebrospinal Fluid (CSF)"

What is the lowest salary in departments with average salary greater than the overall average.

CREATE TABLE course ( course_id text, title text, dept_name text, credits number ) CREATE TABLE section ( course_id text, sec_id text, semester text, year number, building text, room_number text, time_slot_id text ) CREATE TABLE teaches ( id text, course_id text, sec_id text, semester text, year number ) CREATE TABLE prereq ( course_id text, prereq_id text ) CREATE TABLE takes ( id text, course_id text, sec_id text, semester text, year number, grade text ) CREATE TABLE instructor ( id text, name text, dept_name text, salary number ) CREATE TABLE advisor ( s_id text, i_id text ) CREATE TABLE student ( id text, name text, dept_name text, tot_cred number ) CREATE TABLE classroom ( building text, room_number text, capacity number ) CREATE TABLE department ( dept_name text, building text, budget number ) CREATE TABLE time_slot ( time_slot_id text, day text, start_hr number, start_min number, end_hr number, end_min number )

SELECT MIN(salary), dept_name FROM instructor GROUP BY dept_name HAVING AVG(salary) > (SELECT AVG(salary) FROM instructor)

how many black/cape verdean patients are below 24 years of age?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/CAPE VERDEAN" AND demographic.age < "24"

Have emanuel todorov and sergey levine written a paper together ?

CREATE TABLE paper ( paperid int, title varchar, venueid int, year int, numciting int, numcitedby int, journalid int ) CREATE TABLE venue ( venueid int, venuename varchar ) CREATE TABLE journal ( journalid int, journalname varchar ) CREATE TABLE writes ( paperid int, authorid int ) CREATE TABLE paperfield ( fieldid int, paperid int ) CREATE TABLE dataset ( datasetid int, datasetname varchar ) CREATE TABLE field ( fieldid int ) CREATE TABLE author ( authorid int, authorname varchar ) CREATE TABLE cite ( citingpaperid int, citedpaperid int ) CREATE TABLE paperdataset ( paperid int, datasetid int ) CREATE TABLE paperkeyphrase ( paperid int, keyphraseid int ) CREATE TABLE keyphrase ( keyphraseid int, keyphrasename varchar )

SELECT DISTINCT WRITES_0.paperid FROM author AS AUTHOR_0, author AS AUTHOR_1, writes AS WRITES_0, writes AS WRITES_1 WHERE AUTHOR_0.authorname = 'emanuel todorov' AND AUTHOR_1.authorname = 'sergey levine' AND WRITES_0.authorid = AUTHOR_0.authorid AND WRITES_1.authorid = AUTHOR_1.authorid AND WRITES_1.paperid = WRITES_0.paperid

What papers has mirella lapata written ?

CREATE TABLE field ( fieldid int ) CREATE TABLE author ( authorid int, authorname varchar ) CREATE TABLE venue ( venueid int, venuename varchar ) CREATE TABLE dataset ( datasetid int, datasetname varchar ) CREATE TABLE paperkeyphrase ( paperid int, keyphraseid int ) CREATE TABLE paperdataset ( paperid int, datasetid int ) CREATE TABLE cite ( citingpaperid int, citedpaperid int ) CREATE TABLE keyphrase ( keyphraseid int, keyphrasename varchar ) CREATE TABLE paperfield ( fieldid int, paperid int ) CREATE TABLE journal ( journalid int, journalname varchar ) CREATE TABLE paper ( paperid int, title varchar, venueid int, year int, numciting int, numcitedby int, journalid int ) CREATE TABLE writes ( paperid int, authorid int )

SELECT DISTINCT writes.paperid FROM author, writes WHERE author.authorname = 'mirella lapata' AND writes.authorid = author.authorid

Count the number of patients with diagnoses icd9 code 2930 who had a pleural fluid lab test.

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

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.icd9_code = "2930" AND lab.fluid = "Pleural"

give the diagnoses and procedure name of subject id 2560.

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

SELECT demographic.diagnosis, procedures.long_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.subject_id = "2560"

For each record in schedule, show the number of films for each day in a bar chart, display by the y axis in ascending.

CREATE TABLE cinema ( Cinema_ID int, Name text, Openning_year int, Capacity int, Location text ) CREATE TABLE film ( Film_ID int, Rank_in_series int, Number_in_season int, Title text, Directed_by text, Original_air_date text, Production_code text ) CREATE TABLE schedule ( Cinema_ID int, Film_ID int, Date text, Show_times_per_day int, Price float )

SELECT Date, COUNT(Date) FROM schedule AS T1 JOIN film AS T2 ON T1.Film_ID = T2.Film_ID JOIN cinema AS T3 ON T1.Cinema_ID = T3.Cinema_ID GROUP BY Date ORDER BY COUNT(Date)

For those employees who do not work in departments with managers that have ids between 100 and 200, return a bar chart about the distribution of last_name and employee_id .

CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) )

SELECT LAST_NAME, EMPLOYEE_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200)

For those employees who was hired before 2002-06-21, give me the comparison about the sum of employee_id over the hire_date bin hire_date by weekday by a bar chart, order in desc by the total number.

CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) )

SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY SUM(EMPLOYEE_ID) DESC

How many patients were admitted in a year less than 2200?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admityear < "2200"

what is days of hospital stay and admission time of subject id 15061?

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

SELECT demographic.days_stay, demographic.admittime FROM demographic WHERE demographic.subject_id = "15061"

For all employees who have the letters D or S in their first name, return a scatter chart about the correlation between salary and manager_id .

CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) )

SELECT SALARY, MANAGER_ID FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%'

tell me the type of admission and the prescription drug for the patient with patient id 2560.

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

SELECT demographic.admission_type, prescriptions.drug FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.subject_id = "2560"

count the number of patients less than 81 years who belong to american indian/alaska native ethnic background.

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" AND demographic.age < "81"

Find the id and local authority of the station whose maximum precipitation is higher than 50 Visualize by bar chart, I want to list in asc by the bars.

CREATE TABLE weekly_weather ( station_id int, day_of_week text, high_temperature int, low_temperature int, precipitation real, wind_speed_mph int ) CREATE TABLE station ( id int, network_name text, services text, local_authority text ) CREATE TABLE route ( train_id int, station_id int ) CREATE TABLE train ( id int, train_number int, name text, origin text, destination text, time text, interval text )

SELECT local_authority, id FROM weekly_weather AS t1 JOIN station AS t2 ON t1.station_id = t2.id ORDER BY local_authority

what is minimum age of patients whose admission type is emergency and year of birth is greater than 2078?

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

SELECT MIN(demographic.age) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.dob_year > "2078"

find out the average age of patients whose marital status is single and ethnicity is hispanic/latino - puerto rican.

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

SELECT AVG(demographic.age) FROM demographic WHERE demographic.marital_status = "SINGLE" AND demographic.ethnicity = "HISPANIC/LATINO - PUERTO RICAN"

let me know the route of administration and the type of drug influenza virus vaccine is.

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

SELECT prescriptions.drug_type, prescriptions.route FROM prescriptions WHERE prescriptions.drug = "Influenza Virus Vaccine"

Out of total number of patients who were newborn, how many of them had a lab test for urine?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.diagnosis = "NEWBORN" AND lab.fluid = "Urine"

calculate the maximum days for which patients who died before 2111 stayed in hospital.

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

SELECT MAX(demographic.days_stay) FROM demographic WHERE demographic.dod_year < "2111.0"

For those employees who was hired before 2002-06-21, return a bar chart about the distribution of hire_date and the sum of department_id bin hire_date by time, and list by the sum department id from high to low.

CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) )

SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY SUM(DEPARTMENT_ID) DESC

what is the number of patients whose marital status is single and lab test name is potassium, whole blood?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "SINGLE" AND lab.label = "Potassium, Whole Blood"

provide the number of patients whose admission location is clinic referral/premature and drug name is clindamycin?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND prescriptions.drug = "Clindamycin"

tell me the age and health insurance for the patient jerry deberry.

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

SELECT demographic.age, demographic.insurance FROM demographic WHERE demographic.name = "Jerry Deberry"

For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, draw a bar chart about the distribution of job_id and the average of salary , and group by attribute job_id, sort Y-axis from low to high order.

CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) )

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

what is procedure short title of procedure icd9 code 92?

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

SELECT procedures.short_title FROM procedures WHERE procedures.icd9_code = "92"