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Determined AI 19

Show me a bar chart for how many faculty members does each building have? List the result with the name of the building, show from high to low by the x-axis.

CREATE TABLE Activity ( actid INTEGER, activity_name varchar(25) ) CREATE TABLE Faculty_Participates_in ( FacID INTEGER, actid INTEGER ) 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 Participates_in ( stuid INTEGER, actid INTEGER ) CREATE TABLE Student ( StuID INTEGER, LName VARCHAR(12), Fname VARCHAR(12), Age INTEGER, Sex VARCHAR(1), Major INTEGER, Advisor INTEGER, city_code VARCHAR(3) )

SELECT Building, COUNT(*) FROM Faculty GROUP BY Building ORDER BY Building DESC

how many patients stayed in hospital for more than 6 days and were procedured with diagnostic ultrasound?

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 INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "6" AND procedures.long_title = "Diagnostic ultrasound of heart"

give me the number of patients whose admission type is urgent and admission year is less than 2194?

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 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 WHERE demographic.admission_type = "URGENT" AND demographic.admityear < "2194"

Show the number of stations installed change over the installation date of in station table using a line chart.

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

SELECT installation_date, COUNT(installation_date) FROM station GROUP BY installation_date

What is the number of patients less than 85 years old who have coronary artery disease or coronary artery bypass graft with mvr or maze primary disease?

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 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 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.diagnosis = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT WITH MVR; ? MAZE" AND demographic.age < "85"

Give the maximum age of patients of black/african american ethnicity who died before the year 2148.

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 MAX(demographic.age) FROM demographic WHERE demographic.ethnicity = "BLACK/AFRICAN AMERICAN" AND demographic.dod_year < "2148.0"

Draw a bar chart of last name versus department_id, and order from low to high by the X.

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 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 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) )

SELECT LAST_NAME, DEPARTMENT_ID FROM employees ORDER BY LAST_NAME

How many patients of white russian ethnicity had a procedure for dorsal and dorsolumbar fusion of the posterior column posterior technique?

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 ) 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.ethnicity = "WHITE - RUSSIAN" AND procedures.long_title = "Dorsal and dorsolumbar fusion of the posterior column, posterior technique"

calculate the maximum age of patients with primary disease st-segment elevation myocardial infarction/cardiac catheterization who were discharged to home health 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 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 diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )

SELECT MAX(demographic.age) FROM demographic WHERE demographic.discharge_location = "HOME" AND demographic.diagnosis = "ST-SEGMENT ELEVATION MYOCARDIAL INFARCTION\CARDIAC CATH"

Which customers do not have any policies? Find the details of these customers.

CREATE TABLE customers ( customer_id number, customer_details text ) CREATE TABLE claims ( claim_id number, policy_id number, date_claim_made time, date_claim_settled time, amount_claimed number, amount_settled number ) CREATE TABLE payments ( payment_id number, settlement_id number, payment_method_code text, date_payment_made time, amount_payment number ) CREATE TABLE settlements ( settlement_id number, claim_id number, date_claim_made time, date_claim_settled time, amount_claimed number, amount_settled number, customer_policy_id number ) CREATE TABLE customer_policies ( policy_id number, customer_id number, policy_type_code text, start_date time, end_date time )

SELECT customer_details FROM customers EXCEPT SELECT T1.customer_details FROM customers AS T1 JOIN customer_policies AS T2 ON T1.customer_id = T2.customer_id

give me the number of patients whose days of hospital stay is greater than 2 and lab test name is anion gap?

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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "2" AND lab.label = "Anion Gap"

Where does Peter Mertens publish ?

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

SELECT DISTINCT paper.journalid, venue.venueid FROM author, paper, venue, writes WHERE author.authorname = 'Peter Mertens' AND venue.venueid = paper.venueid AND writes.authorid = author.authorid AND writes.paperid = paper.paperid

how many patients whose age is less than 77 and diagnoses long title is abscess of intestine?

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 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "77" AND diagnoses.long_title = "Abscess of intestine"

For those employees who was hired before 2002-06-21, return a bar chart about the distribution of job_id and the sum of employee_id , and group by attribute job_id, and I want to 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 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 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 JOB_ID, SUM(EMPLOYEE_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY SUM(EMPLOYEE_ID) DESC

give me the number of patients whose diagnoses short title is hx tia/stroke w/o resid and drug route is iv bolus?

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 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 )

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.short_title = "Hx TIA/stroke w/o resid" AND prescriptions.route = "IV BOLUS"

count the number of patients whose days of hospital stay is greater than 15 and drug code is imdu30?

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 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 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.days_stay > "15" AND prescriptions.formulary_drug_cd = "IMDU30"

A bar chart for showing the number of the countries that have managers of age above 50 or below 46, could you order x-axis from low to high order?

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

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

give me the time at which patient with patient id 81923 was admitted to hospital.

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 ) 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 demographic.admittime FROM demographic WHERE demographic.subject_id = "81923"

How many stores are headquarted in each city?

CREATE TABLE product ( product_id number, product text, dimensions text, dpi number, pages_per_minute_color number, max_page_size text, interface text ) CREATE TABLE store_district ( store_id number, district_id number ) CREATE TABLE store ( store_id number, store_name text, type text, area_size number, number_of_product_category number, ranking number ) CREATE TABLE district ( district_id number, district_name text, headquartered_city text, city_population number, city_area number ) CREATE TABLE store_product ( store_id number, product_id number )

SELECT t3.headquartered_city, COUNT(*) FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id GROUP BY t3.headquartered_city

Get me the list of patients taking succinylcholine who had elective hospital admission.

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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND prescriptions.drug = "Succinylcholine"

Find the year and semester when offers the largest number of courses.

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 instructor ( id text, name text, dept_name text, salary number ) 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 prereq ( course_id text, prereq_id text ) CREATE TABLE teaches ( id text, course_id text, sec_id text, semester text, year number ) CREATE TABLE department ( dept_name text, building text, budget 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 time_slot ( time_slot_id text, day text, start_hr number, start_min number, end_hr number, end_min number )

SELECT semester, year FROM section GROUP BY semester, year ORDER BY COUNT(*) DESC LIMIT 1

Find the job ID for those jobs which average salary is above 8000.

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

SELECT job_id FROM employees GROUP BY job_id HAVING AVG(salary) > 8000

what is the number of patients whose procedure icd9 code is 8960 and drug type is base?

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 procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE procedures.icd9_code = "8960" AND prescriptions.drug_type = "BASE"

For those employees who did not have any job in the past, visualize a bar chart about the distribution of job_id and the amount of job_id , and group by attribute job_id, list from low to high by the JOB_ID please.

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) ) 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 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 JOB_ID, COUNT(JOB_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID ORDER BY JOB_ID

provide the number of patients whose gender is m and diagnoses icd9 code is 51889?

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 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 )

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "M" AND diagnoses.icd9_code = "51889"

count the number of patients whose admission location is clinic referral/premature and diagnoses icd9 code is 7069?

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 ) 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_location = "CLINIC REFERRAL/PREMATURE" AND diagnoses.icd9_code = "7069"

how many patients are discharged to snf and followed the procedure icd9 code 966?

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 ) 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "SNF" AND procedures.icd9_code = "966"

how many patients are diagnosed with primary disease rash and suggested with drug route via iv?

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 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 )

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.diagnosis = "RASH" AND prescriptions.route = "IV"

provide the number of patients whose gender is f and primary disease is morbid obesity/sda?

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 WHERE demographic.gender = "F" AND demographic.diagnosis = "MORBID OBESITY/SDA"

count the number of patients whose ethnicity is hispanic or latino and procedure icd9 code is 3950?

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 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.ethnicity = "HISPANIC OR LATINO" AND procedures.icd9_code = "3950"

How many papers are presented in acl 2016 ?

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

SELECT DISTINCT COUNT(paper.paperid) FROM paper, venue WHERE paper.year = 2016 AND venue.venueid = paper.venueid AND venue.venuename = 'acl'

Show all distinct product categories along with the number of mailshots in each category in a pie chart.

CREATE TABLE Mailshot_Customers ( mailshot_id INTEGER, customer_id INTEGER, outcome_code VARCHAR(15), mailshot_customer_date DATETIME ) CREATE TABLE Customer_Orders ( order_id INTEGER, customer_id INTEGER, order_status_code VARCHAR(15), shipping_method_code VARCHAR(15), order_placed_datetime DATETIME, order_delivered_datetime DATETIME, order_shipping_charges VARCHAR(255) ) CREATE TABLE Mailshot_Campaigns ( mailshot_id INTEGER, product_category VARCHAR(15), mailshot_name VARCHAR(80), mailshot_start_date DATETIME, mailshot_end_date DATETIME ) CREATE TABLE Customers ( customer_id INTEGER, payment_method VARCHAR(15), customer_name VARCHAR(80), customer_phone VARCHAR(80), customer_email VARCHAR(80), customer_address VARCHAR(255), customer_login VARCHAR(80), customer_password VARCHAR(10) ) CREATE TABLE Premises ( premise_id INTEGER, premises_type VARCHAR(15), premise_details VARCHAR(255) ) CREATE TABLE Customer_Addresses ( customer_id INTEGER, premise_id INTEGER, date_address_from DATETIME, address_type_code VARCHAR(15), date_address_to DATETIME ) CREATE TABLE Products ( product_id INTEGER, product_category VARCHAR(15), product_name VARCHAR(80) ) CREATE TABLE Order_Items ( item_id INTEGER, order_item_status_code VARCHAR(15), order_id INTEGER, product_id INTEGER, item_status_code VARCHAR(15), item_delivered_datetime DATETIME, item_order_quantity VARCHAR(80) )

SELECT product_category, COUNT(*) FROM Mailshot_Campaigns GROUP BY product_category

give me the number of patients whose diagnoses short title is dmi neuro nt st uncntrld and drug type is main?

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 INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "DMI neuro nt st uncntrld" AND prescriptions.drug_type = "MAIN"

what is the average age of male patients who died before the year 2165?

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 ) 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.gender = "M" AND demographic.dod_year < "2165.0"

what is the number of patients whose year of birth is less than 2065?

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 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 WHERE demographic.dob_year < "2065"

Bar chart x axis product name y axis how many product name

CREATE TABLE Products ( product_id INTEGER, product_type_code VARCHAR(15), product_name VARCHAR(80), product_price DOUBLE ) CREATE TABLE Contacts ( contact_id INTEGER, customer_id INTEGER, gender VARCHAR(1), first_name VARCHAR(80), last_name VARCHAR(50), contact_phone VARCHAR(80) ) CREATE TABLE Customer_Orders ( order_id INTEGER, customer_id INTEGER, order_date DATETIME, order_status_code VARCHAR(15) ) CREATE TABLE Customer_Address_History ( customer_id INTEGER, address_id INTEGER, date_from DATETIME, date_to DATETIME ) CREATE TABLE Customers ( customer_id INTEGER, payment_method_code VARCHAR(15), customer_number VARCHAR(20), customer_name VARCHAR(80), customer_address VARCHAR(255), customer_phone VARCHAR(80), customer_email VARCHAR(80) ) CREATE TABLE Order_Items ( order_item_id INTEGER, order_id INTEGER, product_id INTEGER, order_quantity VARCHAR(80) ) CREATE TABLE Addresses ( address_id INTEGER, line_1_number_building VARCHAR(80), city VARCHAR(50), zip_postcode VARCHAR(20), state_province_county VARCHAR(50), country VARCHAR(50) )

SELECT product_name, COUNT(product_name) FROM Products GROUP BY product_name

who published at ACL 2014 ?

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

SELECT DISTINCT writes.authorid FROM paper, venue, writes WHERE paper.year = 2014 AND venue.venueid = paper.venueid AND venue.venuename = 'ACL' AND writes.paperid = paper.paperid

count the number of patients whose primary disease is s/p fall and year of birth is less than 2085?

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 ) 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 = "S/P FALL" AND demographic.dob_year < "2085"

What are the ids, names, dates of opening, and other details for accounts corresponding to the customer with the first name 'Meaghan'?

CREATE TABLE product_categories ( production_type_code text, product_type_description text, vat_rating number ) CREATE TABLE order_items ( order_item_id number, order_id number, product_id number, product_quantity text, other_order_item_details text ) CREATE TABLE customers ( customer_id number, customer_first_name text, customer_middle_initial text, customer_last_name text, gender text, email_address text, login_name text, login_password text, phone_number text, town_city text, state_county_province text, country text ) CREATE TABLE invoices ( invoice_number number, order_id number, invoice_date time ) CREATE TABLE financial_transactions ( transaction_id number, account_id number, invoice_number number, transaction_type text, transaction_date time, transaction_amount number, transaction_comment text, other_transaction_details text ) CREATE TABLE products ( product_id number, parent_product_id number, production_type_code text, unit_price number, product_name text, product_color text, product_size text ) CREATE TABLE invoice_line_items ( order_item_id number, invoice_number number, product_id number, product_title text, product_quantity text, product_price number, derived_product_cost number, derived_vat_payable number, derived_total_cost number ) CREATE TABLE accounts ( account_id number, customer_id number, date_account_opened time, account_name text, other_account_details text ) CREATE TABLE orders ( order_id number, customer_id number, date_order_placed time, order_details text )

SELECT T1.account_id, T1.date_account_opened, T1.account_name, T1.other_account_details FROM accounts AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = 'Meaghan'

Find the enrollment date for all the tests that have 'Pass' result, and count them by a bar chart, sort by the Y from low to high please.

CREATE TABLE Students ( student_id INTEGER, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR(40), password VARCHAR(10), personal_name VARCHAR(40), middle_name VARCHAR(40), family_name VARCHAR(40) ) CREATE TABLE Courses ( course_id INTEGER, author_id INTEGER, subject_id INTEGER, course_name VARCHAR(120), course_description VARCHAR(255) ) CREATE TABLE Student_Course_Enrolment ( registration_id INTEGER, student_id INTEGER, course_id INTEGER, date_of_enrolment DATETIME, date_of_completion DATETIME ) CREATE TABLE Course_Authors_and_Tutors ( author_id INTEGER, author_tutor_ATB VARCHAR(3), login_name VARCHAR(40), password VARCHAR(40), personal_name VARCHAR(80), middle_name VARCHAR(80), family_name VARCHAR(80), gender_mf VARCHAR(1), address_line_1 VARCHAR(80) ) CREATE TABLE Subjects ( subject_id INTEGER, subject_name VARCHAR(120) ) CREATE TABLE Student_Tests_Taken ( registration_id INTEGER, date_test_taken DATETIME, test_result VARCHAR(255) )

SELECT date_of_enrolment, COUNT(date_of_enrolment) FROM Student_Course_Enrolment AS T1 JOIN Student_Tests_Taken AS T2 ON T1.registration_id = T2.registration_id WHERE T2.test_result = "Pass" ORDER BY COUNT(date_of_enrolment)

provide the number of patients who were aadmitted before the year 2125 and their drug route is neb.

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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admityear < "2125" AND prescriptions.route = "NEB"

Show all product colors.

CREATE TABLE financial_transactions ( transaction_id number, account_id number, invoice_number number, transaction_type text, transaction_date time, transaction_amount number, transaction_comment text, other_transaction_details text ) CREATE TABLE order_items ( order_item_id number, order_id number, product_id number, product_quantity text, other_order_item_details text ) CREATE TABLE orders ( order_id number, customer_id number, date_order_placed time, order_details text ) CREATE TABLE products ( product_id number, parent_product_id number, production_type_code text, unit_price number, product_name text, product_color text, product_size text ) CREATE TABLE customers ( customer_id number, customer_first_name text, customer_middle_initial text, customer_last_name text, gender text, email_address text, login_name text, login_password text, phone_number text, town_city text, state_county_province text, country text ) CREATE TABLE accounts ( account_id number, customer_id number, date_account_opened time, account_name text, other_account_details text ) CREATE TABLE product_categories ( production_type_code text, product_type_description text, vat_rating number ) CREATE TABLE invoice_line_items ( order_item_id number, invoice_number number, product_id number, product_title text, product_quantity text, product_price number, derived_product_cost number, derived_vat_payable number, derived_total_cost number ) CREATE TABLE invoices ( invoice_number number, order_id number, invoice_date time )

SELECT DISTINCT product_color FROM products

which course has most number of registered students?

CREATE TABLE students ( student_id number, student_details text ) CREATE TABLE people_addresses ( person_address_id number, person_id number, address_id number, date_from time, date_to time ) CREATE TABLE people ( person_id number, first_name text, middle_name text, last_name text, cell_mobile_number text, email_address text, login_name text, password text ) CREATE TABLE courses ( course_id text, course_name text, course_description text, other_details text ) CREATE TABLE student_course_attendance ( student_id number, course_id number, date_of_attendance time ) CREATE TABLE addresses ( address_id number, line_1 text, line_2 text, city text, zip_postcode text, state_province_county text, country text ) CREATE TABLE candidate_assessments ( candidate_id number, qualification text, assessment_date time, asessment_outcome_code text ) CREATE TABLE candidates ( candidate_id number, candidate_details text ) CREATE TABLE student_course_registrations ( student_id number, course_id number, registration_date time )

SELECT T1.course_name FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_id GROUP BY T1.course_id ORDER BY COUNT(*) DESC LIMIT 1

how many patients whose admission year is less than 2166 and diagnoses long title is pneumococcal pneumonia [streptococcus pneumoniae pneumonia]?

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 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 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.admityear < "2166" AND diagnoses.long_title = "Pneumococcal pneumonia [Streptococcus pneumoniae pneumonia]"

Show the number of documents created in each day and bin document date by year interval and group by document type description with a group line chart, I want to rank x axis in descending order.

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_Budget_Codes ( Budget_Type_Code CHAR(15), Budget_Type_Description 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 Accounts ( Account_ID INTEGER, Statement_ID INTEGER, Account_Details VARCHAR(255) ) CREATE TABLE Projects ( Project_ID INTEGER, Project_Details VARCHAR(255) ) CREATE TABLE Documents_with_Expenses ( Document_ID INTEGER, Budget_Type_Code CHAR(15), Document_Details VARCHAR(255) )

SELECT Document_Date, COUNT(Document_Date) 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_Date DESC

Give me a bar chart for how many date of transaction of each date of transaction, and display by the the number of date of transaction in ascending.

CREATE TABLE Sales ( sales_transaction_id INTEGER, sales_details VARCHAR(255) ) CREATE TABLE Transactions_Lots ( transaction_id INTEGER, lot_id INTEGER ) CREATE TABLE Transactions ( transaction_id INTEGER, investor_id INTEGER, transaction_type_code VARCHAR(10), date_of_transaction DATETIME, amount_of_transaction DECIMAL(19,4), share_count VARCHAR(40), other_details VARCHAR(255) ) CREATE TABLE Investors ( investor_id INTEGER, Investor_details VARCHAR(255) ) CREATE TABLE Lots ( lot_id INTEGER, investor_id INTEGER, lot_details VARCHAR(255) ) CREATE TABLE Purchases ( purchase_transaction_id INTEGER, purchase_details VARCHAR(255) ) CREATE TABLE Ref_Transaction_Types ( transaction_type_code VARCHAR(10), transaction_type_description VARCHAR(80) )

SELECT date_of_transaction, COUNT(date_of_transaction) FROM Transactions ORDER BY COUNT(date_of_transaction)

give me the number of patients whose admission year is less than 2172 and lab test name is fibrin degradation products?

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 INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2172" AND lab.label = "Fibrin Degradation Products"

Show the first names and last names of all the guests that have apartment bookings with status code 'Confirmed'.

CREATE TABLE guests ( guest_id number, gender_code text, guest_first_name text, guest_last_name text, date_of_birth time ) CREATE TABLE apartments ( apt_id number, building_id number, apt_type_code text, apt_number text, bathroom_count number, bedroom_count number, room_count text ) CREATE TABLE apartment_bookings ( apt_booking_id number, apt_id number, guest_id number, booking_status_code text, booking_start_date time, booking_end_date time ) CREATE TABLE apartment_facilities ( apt_id number, facility_code text ) CREATE TABLE view_unit_status ( apt_id number, apt_booking_id number, status_date time, available_yn others ) CREATE TABLE apartment_buildings ( building_id number, building_short_name text, building_full_name text, building_description text, building_address text, building_manager text, building_phone text )

SELECT T2.guest_first_name, T2.guest_last_name FROM apartment_bookings AS T1 JOIN guests AS T2 ON T1.guest_id = T2.guest_id WHERE T1.booking_status_code = "Confirmed"

Find out the number of clinic referred patients who had premature admission and have other anomalies of larynx trachea and bronchus diagnoses.

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 COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND diagnoses.short_title = "Laryngotrach anomaly NEC"

how many patients whose ethnicity is black/haitian and drug route is sc?

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 INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "BLACK/HAITIAN" AND prescriptions.route = "SC"

how many patients stayed in hospital for more than 16 days and were diagnosed with icd9 code v489?

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 COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "16" AND diagnoses.icd9_code = "V489"

A bar chart showing the number of start date of the apartment bookings made by female guests (gender code 'Female') for each weekday.

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 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 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 ) 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) )

SELECT booking_start_date, COUNT(booking_start_date) FROM Apartment_Bookings AS T1 JOIN Guests AS T2 ON T1.guest_id = T2.guest_id WHERE T2.gender_code = "Female"

Bar chart of how many date of enrolment from each date of enrolment, and could you rank by the y-axis in desc?

CREATE TABLE Student_Course_Enrolment ( registration_id INTEGER, student_id INTEGER, course_id INTEGER, date_of_enrolment DATETIME, date_of_completion DATETIME ) CREATE TABLE Course_Authors_and_Tutors ( author_id INTEGER, author_tutor_ATB VARCHAR(3), login_name VARCHAR(40), password VARCHAR(40), personal_name VARCHAR(80), middle_name VARCHAR(80), family_name VARCHAR(80), gender_mf VARCHAR(1), address_line_1 VARCHAR(80) ) CREATE TABLE Subjects ( subject_id INTEGER, subject_name VARCHAR(120) ) CREATE TABLE Student_Tests_Taken ( registration_id INTEGER, date_test_taken DATETIME, test_result VARCHAR(255) ) CREATE TABLE Students ( student_id INTEGER, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR(40), password VARCHAR(10), personal_name VARCHAR(40), middle_name VARCHAR(40), family_name VARCHAR(40) ) CREATE TABLE Courses ( course_id INTEGER, author_id INTEGER, subject_id INTEGER, course_name VARCHAR(120), course_description VARCHAR(255) )

SELECT date_of_enrolment, COUNT(date_of_enrolment) FROM Student_Course_Enrolment ORDER BY COUNT(date_of_enrolment) DESC

how many patients whose drug name is bethanechol?

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 ) 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 prescriptions.drug = "Bethanechol"

find the maximum age of patients who had private insurance and their year of expiry is before 2126.

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 ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )

SELECT MAX(demographic.age) FROM demographic WHERE demographic.insurance = "Private" AND demographic.dod_year < "2126.0"

What is the average price of the products for each category?

CREATE TABLE products ( product_id number, parent_product_id number, product_category_code text, date_product_first_available time, date_product_discontinued time, product_name text, product_description text, product_price number ) CREATE TABLE complaints ( complaint_id number, product_id number, customer_id number, complaint_outcome_code text, complaint_status_code text, complaint_type_code text, date_complaint_raised time, date_complaint_closed time, staff_id number ) CREATE TABLE customers ( customer_id number, customer_type_code text, address_line_1 text, address_line_2 text, town_city text, state text, email_address text, phone_number text ) CREATE TABLE staff ( staff_id number, gender text, first_name text, last_name text, email_address text, phone_number text )

SELECT AVG(product_price), product_category_code FROM products GROUP BY product_category_code

provide the number of patients whose admission type is newborn and year of birth is less than 2065?

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 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 COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "NEWBORN" AND demographic.dob_year < "2065"

what is the number of patients whose drug code is clin150 and lab test fluid is other body fluid?

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 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 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 INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.formulary_drug_cd = "CLIN150" AND lab.fluid = "Other Body Fluid"

Which restaurant in Dallas were reviewed by user Patrick ?

CREATE TABLE business ( bid int, business_id varchar, name varchar, full_address varchar, city varchar, latitude varchar, longitude varchar, review_count bigint, is_open tinyint, rating float, state varchar ) CREATE TABLE category ( id int, business_id varchar, category_name varchar ) CREATE TABLE review ( rid int, business_id varchar, user_id varchar, rating float, text longtext, year int, month varchar ) CREATE TABLE user ( uid int, user_id varchar, name varchar ) CREATE TABLE tip ( tip_id int, business_id varchar, text longtext, user_id varchar, likes int, year int, month varchar ) CREATE TABLE checkin ( cid int, business_id varchar, count int, day varchar ) CREATE TABLE neighborhood ( id int, business_id varchar, neighborhood_name varchar )

SELECT business.name FROM business, category, review, user WHERE business.city = 'Dallas' AND category.business_id = business.business_id AND category.category_name = 'restaurant' AND review.business_id = business.business_id AND user.name = 'Patrick' AND user.user_id = review.user_id

What is the maximum number that a certain service is provided? List the service id, details and number.

CREATE TABLE residents_services ( resident_id number, service_id number, date_moved_in time, property_id number, date_requested time, date_provided time, other_details text ) CREATE TABLE services ( service_id number, organization_id number, service_type_code text, service_details text ) CREATE TABLE customers ( customer_id number, customer_details text ) CREATE TABLE organizations ( organization_id number, parent_organization_id number, organization_details text ) CREATE TABLE properties ( property_id number, property_type_code text, property_address text, other_details text ) CREATE TABLE timed_locations_of_things ( thing_id number, date_and_time time, location_code text ) CREATE TABLE customer_event_notes ( customer_event_note_id number, customer_event_id number, service_type_code text, resident_id number, property_id number, date_moved_in time ) CREATE TABLE residents ( resident_id number, property_id number, date_moved_in time, date_moved_out time, other_details text ) CREATE TABLE things ( thing_id number, organization_id number, type_of_thing_code text, service_type_code text, service_details text ) CREATE TABLE customer_events ( customer_event_id number, customer_id number, date_moved_in time, property_id number, resident_id number, thing_id number ) CREATE TABLE timed_status_of_things ( thing_id number, date_and_date time, status_of_thing_code text )

SELECT T1.service_id, T1.service_details, COUNT(*) FROM services AS T1 JOIN residents_services AS T2 ON T1.service_id = T2.service_id GROUP BY T1.service_id ORDER BY COUNT(*) DESC LIMIT 1

Which ministers are not a part of the Progress Party, and count them by a bar chart, I want to show Y-axis from high to low order.

CREATE TABLE party ( Party_ID int, Minister text, Took_office text, Left_office text, Region_ID int, Party_name text ) CREATE TABLE region ( Region_ID int, Region_name text, Date text, Label text, Format text, Catalogue text ) CREATE TABLE member ( Member_ID int, Member_Name text, Party_ID text, In_office text ) CREATE TABLE party_events ( Event_ID int, Event_Name text, Party_ID int, Member_in_charge_ID int )

SELECT Minister, COUNT(Minister) FROM party WHERE Party_name <> 'Progress Party' GROUP BY Minister ORDER BY COUNT(Minister) DESC

get me the number of patients with lab test item id 51025 who died in the year 2126 or before that.

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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dod_year <= "2126.0" AND lab.itemid = "51025"

how many patients who have stayed in the hospital for more than 43 days have 4432 as their procedure icd9 code?

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 ) 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "43" AND procedures.icd9_code = "4432"

Among patients with cerebral aneurysm/sda as their primary disease, calculate the total number of those born before the year 2173.

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 ) 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 WHERE demographic.diagnosis = "CEREBRAL ANEURYSM/SDA" AND demographic.admityear < "2173"

For those employees who did not have any job in the past, draw a line chart about the change of employee_id over hire_date .

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 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 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, EMPLOYEE_ID FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history)

tell me the number of urgent hospital admission patients who have been diagnosed with retained plastic fragments.

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 ) 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.admission_type = "URGENT" AND diagnoses.long_title = "Retained plastic fragments"

What are the names of students who have taken the prerequisite for the course International Finance?

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 prereq ( course_id text, prereq_id text ) CREATE TABLE section ( course_id text, sec_id text, semester text, year number, building text, room_number text, time_slot_id text ) 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 ) CREATE TABLE student ( id text, name text, dept_name text, tot_cred number ) 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 course ( course_id text, title text, dept_name text, credits number ) CREATE TABLE advisor ( s_id text, i_id text )

SELECT T1.name FROM student AS T1 JOIN takes AS T2 ON T1.id = T2.id WHERE T2.course_id IN (SELECT T4.prereq_id FROM course AS T3 JOIN prereq AS T4 ON T3.course_id = T4.course_id WHERE T3.title = 'International Finance')

provide the number of patients whose diagnoses short title is abn react-cardiac cath and lab test abnormal status is delta?

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 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 )

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.short_title = "Abn react-cardiac cath" AND lab.flag = "delta"

For those employees who do not work in departments with managers that have ids between 100 and 200, find phone_number and employee_id , and visualize them by a bar chart, and order by the Y in ascending please.

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 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 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) )

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

how many patients stayed in hospital for more than 15 days and lab tested with urea nitrogen?

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 COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "15" AND lab.label = "Urea Nitrogen"

For those employees who was hired before 2002-06-21, a line chart shows the change of employee_id over hire_date

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 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 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 HIRE_DATE, EMPLOYEE_ID FROM employees WHERE HIRE_DATE < '2002-06-21'

give the number of patients whose diagnosis long title is benign neoplasm of spinal meninges.

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 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 COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.long_title = "Benign neoplasm of spinal meninges"

provide the health insurance and patients name for patient id 2560.

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 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 )

SELECT demographic.name, demographic.insurance FROM demographic WHERE demographic.subject_id = "2560"

Specify the maximum age of patients admitted to phys referral (normal) with brain mass or intracranial hemorrhage as their primary disease

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 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 MAX(demographic.age) FROM demographic WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND demographic.diagnosis = "BRAIN MASS;INTRACRANIAL HEMORRHAGE"

Return the login names of the students whose family name is 'Ward'.

CREATE TABLE students ( student_id number, date_of_registration time, date_of_latest_logon time, login_name text, password text, personal_name text, middle_name text, family_name text ) CREATE TABLE student_tests_taken ( registration_id number, date_test_taken time, test_result text ) CREATE TABLE course_authors_and_tutors ( author_id number, author_tutor_atb text, login_name text, password text, personal_name text, middle_name text, family_name text, gender_mf text, address_line_1 text ) CREATE TABLE courses ( course_id number, author_id number, subject_id number, course_name text, course_description text ) CREATE TABLE student_course_enrolment ( registration_id number, student_id number, course_id number, date_of_enrolment time, date_of_completion time ) CREATE TABLE subjects ( subject_id number, subject_name text )

SELECT login_name FROM students WHERE family_name = "Ward"

how many patients whose insurance is medicaid and procedure long title is hemodialysis?

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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Medicaid" AND procedures.long_title = "Hemodialysis"

count the number of patients whose diagnoses is sarcoidosis and drug route is ng.

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 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 )

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.short_title = "Sarcoidosis" AND prescriptions.route = "NG"

List all the log entry descriptions and count them using a bar chart, sort in descending by the Y-axis.

CREATE TABLE Problem_Status_Codes ( problem_status_code VARCHAR(20), problem_status_description VARCHAR(80) ) CREATE TABLE Staff ( staff_id INTEGER, staff_first_name VARCHAR(80), staff_last_name VARCHAR(80), other_staff_details VARCHAR(255) ) CREATE TABLE Product ( product_id INTEGER, product_name VARCHAR(80), product_details VARCHAR(255) ) CREATE TABLE Problem_Log ( problem_log_id INTEGER, assigned_to_staff_id INTEGER, problem_id INTEGER, problem_category_code VARCHAR(20), problem_status_code VARCHAR(20), log_entry_date DATETIME, log_entry_description VARCHAR(255), log_entry_fix VARCHAR(255), other_log_details VARCHAR(255) ) CREATE TABLE Problems ( problem_id INTEGER, product_id INTEGER, closure_authorised_by_staff_id INTEGER, reported_by_staff_id INTEGER, date_problem_reported DATETIME, date_problem_closed DATETIME, problem_description VARCHAR(255), other_problem_details VARCHAR(255) ) CREATE TABLE Problem_Category_Codes ( problem_category_code VARCHAR(20), problem_category_description VARCHAR(80) )

SELECT log_entry_description, COUNT(log_entry_description) FROM Problem_Log GROUP BY log_entry_description ORDER BY COUNT(log_entry_description) DESC

provide me the number of patients on main drug type prescription who have the diagnoses of poisoning by other opiates and related narcotics.

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 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Poisoning-opiates NEC" AND prescriptions.drug_type = "MAIN"

What has Yejin Kim published at Immune network ?

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

SELECT DISTINCT paper.paperid FROM author, paper, venue, writes WHERE author.authorname = 'Yejin Kim' AND venue.venueid = paper.venueid AND venue.venuename = 'Immune network' AND writes.authorid = author.authorid AND writes.paperid = paper.paperid

How many female patients are diagnosed with ulcer of heel & mid foot?

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.gender = "F" AND diagnoses.short_title = "Ulcer of heel & midfoot"

what is maximum age of patients whose insurance is self pay and primary disease is stemi?

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 ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text )

SELECT MAX(demographic.age) FROM demographic WHERE demographic.insurance = "Self Pay" AND demographic.diagnosis = "STEMI"

For those employees who did not have any job in the past, give me the comparison about the sum of employee_id over the hire_date bin hire_date by time, and list in asc by the total number.

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 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 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 departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) )

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

Count the number of patients less than 47 years who had a urine fluid lab test.

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 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 )

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "47" AND lab.fluid = "Urine"

For all employees who have the letters D or S in their first name, a bar chart shows the distribution of hire_date and the average of employee_id bin hire_date by weekday, and order total number in ascending 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 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 job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), 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 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(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY AVG(EMPLOYEE_ID)

For all employees who have the letters D or S in their first name, give me the comparison about the sum of salary over the hire_date bin hire_date by weekday.

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) ) 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 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 HIRE_DATE, SUM(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%'

Bar chart x axis nationality y axis sum meter 100, and I want to sort in desc by the X.

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 ) CREATE TABLE event ( ID int, Name text, Stadium_ID int, Year text )

SELECT Nationality, SUM(meter_100) FROM swimmer GROUP BY Nationality ORDER BY Nationality DESC

what is the number of patients whose diagnoses long title is other alteration of consciousness and lab test fluid is blood?

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 ) 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 INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Other alteration of consciousness" AND lab.fluid = "Blood"

how many patients are admitted newborn and have a discharge location of disch-tran to psych hosp?

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 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 )

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "NEWBORN" AND demographic.discharge_location = "DISCH-TRAN TO PSYCH HOSP"

How many invoices do we have?

CREATE TABLE customers ( customer_id number, customer_first_name text, customer_middle_initial text, customer_last_name text, gender text, email_address text, login_name text, login_password text, phone_number text, town_city text, state_county_province text, country text ) CREATE TABLE order_items ( order_item_id number, order_id number, product_id number, product_quantity text, other_order_item_details text ) CREATE TABLE invoice_line_items ( order_item_id number, invoice_number number, product_id number, product_title text, product_quantity text, product_price number, derived_product_cost number, derived_vat_payable number, derived_total_cost number ) CREATE TABLE invoices ( invoice_number number, order_id number, invoice_date time ) CREATE TABLE financial_transactions ( transaction_id number, account_id number, invoice_number number, transaction_type text, transaction_date time, transaction_amount number, transaction_comment text, other_transaction_details text ) CREATE TABLE products ( product_id number, parent_product_id number, production_type_code text, unit_price number, product_name text, product_color text, product_size text ) CREATE TABLE accounts ( account_id number, customer_id number, date_account_opened time, account_name text, other_account_details text ) CREATE TABLE product_categories ( production_type_code text, product_type_description text, vat_rating number ) CREATE TABLE orders ( order_id number, customer_id number, date_order_placed time, order_details text )

SELECT COUNT(*) FROM invoices

How many of the patients on urgent admission were born before 2024?

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 WHERE demographic.admission_type = "URGENT" AND demographic.dob_year < "2024"

calculate the minimum age of divorcee patients who had posterior communicating aneurysm/sda as primary disease.

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 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 MIN(demographic.age) FROM demographic WHERE demographic.marital_status = "DIVORCED" AND demographic.diagnosis = "POSTERIOR COMMUNICATING ANEURYSM/SDA"

Visualize the relationship between author_tutor_ATB and gender_mf .

CREATE TABLE Student_Course_Enrolment ( registration_id INTEGER, student_id INTEGER, course_id INTEGER, date_of_enrolment DATETIME, date_of_completion DATETIME ) CREATE TABLE Students ( student_id INTEGER, date_of_registration DATETIME, date_of_latest_logon DATETIME, login_name VARCHAR(40), password VARCHAR(10), personal_name VARCHAR(40), middle_name VARCHAR(40), family_name VARCHAR(40) ) CREATE TABLE Course_Authors_and_Tutors ( author_id INTEGER, author_tutor_ATB VARCHAR(3), login_name VARCHAR(40), password VARCHAR(40), personal_name VARCHAR(80), middle_name VARCHAR(80), family_name VARCHAR(80), gender_mf VARCHAR(1), address_line_1 VARCHAR(80) ) CREATE TABLE Courses ( course_id INTEGER, author_id INTEGER, subject_id INTEGER, course_name VARCHAR(120), course_description VARCHAR(255) ) CREATE TABLE Student_Tests_Taken ( registration_id INTEGER, date_test_taken DATETIME, test_result VARCHAR(255) ) CREATE TABLE Subjects ( subject_id INTEGER, subject_name VARCHAR(120) )

SELECT author_tutor_ATB, gender_mf FROM Course_Authors_and_Tutors ORDER BY personal_name

among patients on nebulizer therapy, how many of them were widowed?

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 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.marital_status = "WIDOWED" AND prescriptions.route = "NEB"

what is the number of patients whose discharge location is home health care and age is less than 41?

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.discharge_location = "HOME HEALTH CARE" AND demographic.age < "41"

what is primary disease and diagnoses icd9 code of subject name ida cook?

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 ) 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 demographic.diagnosis, diagnoses.icd9_code FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Ida Cook"

what is maximum age of patients whose primary disease is aortic insufficiency\re-do sternotomy; aortic valve replacement and admission year is greater than or equal to 2150?

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 ) 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 )

SELECT MAX(demographic.age) FROM demographic WHERE demographic.diagnosis = "AORTIC INSUFFICIENCY\RE-DO STERNOTOMY; AORTIC VALVE REPLACEMENT " AND demographic.admityear >= "2150"

what is the number of patients whose diagnoses icd9 code is 1173 and drug route is ih?

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 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 )

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 = "1173" AND prescriptions.route = "IH"

What are the codes of all the courses that are located in room KLR209?

CREATE TABLE student ( stu_num number, stu_lname text, stu_fname text, stu_init text, stu_dob time, stu_hrs number, stu_class text, stu_gpa number, stu_transfer number, dept_code text, stu_phone text, prof_num number ) CREATE TABLE enroll ( class_code text, stu_num number, enroll_grade text ) CREATE TABLE course ( crs_code text, dept_code text, crs_description text, crs_credit number ) CREATE TABLE department ( dept_code text, dept_name text, school_code text, emp_num number, dept_address text, dept_extension text ) CREATE TABLE class ( class_code text, crs_code text, class_section text, class_time text, class_room text, prof_num number ) CREATE TABLE employee ( emp_num number, emp_lname text, emp_fname text, emp_initial text, emp_jobcode text, emp_hiredate time, emp_dob time ) CREATE TABLE professor ( emp_num number, dept_code text, prof_office text, prof_extension text, prof_high_degree text )

SELECT class_code FROM class WHERE class_room = 'KLR209'

mention the number of patients with diagnosis icd9 code 2768.

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 ) 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 diagnoses.icd9_code = "2768"