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provide the number of patients whose year of birth is less than 2089 and lab test fluid is joint fluid?

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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2089" AND lab.fluid = "Joint Fluid"

How many patients aged below 43 years old are diagnosed with prob-head/neck/trunk nos?

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.age < "43" AND diagnoses.short_title = "Prob-head/neck/trunk NOS"

find the number of patients with blood gas lab test category who were hospitalized for more than 7 days.

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "7" AND lab."CATEGORY" = "Blood Gas"

For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, draw a bar chart about the distribution of job_id and the average of department_id , and group by attribute job_id, and I want to show from low to high by the names.

CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE 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 countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) )

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

count the number of patients whose lab test fluid is blood.

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 lab ON demographic.hadm_id = lab.hadm_id WHERE lab.fluid = "Blood"

Show all role codes with at least 3 employees.

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

SELECT role_code FROM employees GROUP BY role_code HAVING COUNT(*) >= 3

how many patients whose year of birth is less than 2200 and item id is 50882?

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 INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2200" AND lab.itemid = "50882"

what is the number of patients whose admission type is urgent and with procedure prophylactic administration of vaccine against other diseases?

CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) 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.admission_type = "URGENT" AND procedures.long_title = "Prophylactic administration of vaccine against other diseases"

what is date of birth and diagnoses icd9 code of subject name jerry deberry?

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 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 demographic.dob, diagnoses.icd9_code FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Jerry Deberry"

how many patients whose procedure long title is non-invasive mechanical ventilation?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.long_title = "Non-invasive mechanical ventilation"

Return the average price of products that have each category code.

CREATE TABLE Complaints ( complaint_id INTEGER, product_id INTEGER, customer_id INTEGER, complaint_outcome_code VARCHAR(20), complaint_status_code VARCHAR(20), complaint_type_code VARCHAR(20), date_complaint_raised DATETIME, date_complaint_closed DATETIME, staff_id INTEGER ) CREATE TABLE Staff ( staff_id INTEGER, gender VARCHAR(1), first_name VARCHAR(80), last_name VARCHAR(80), email_address VARCHAR(255), phone_number VARCHAR(80) ) CREATE TABLE Products ( product_id INTEGER, parent_product_id INTEGER, product_category_code VARCHAR(20), date_product_first_available DATETIME, date_product_discontinued DATETIME, product_name VARCHAR(80), product_description VARCHAR(255), product_price DECIMAL(19,4) ) CREATE TABLE Customers ( customer_id INTEGER, customer_type_code VARCHAR(20), address_line_1 VARCHAR(80), address_line_2 VARCHAR(80), town_city VARCHAR(80), state VARCHAR(80), email_address VARCHAR(255), phone_number VARCHAR(80) )

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

how many patients whose diagnoses icd9 code is 6824 and lab test category is blood gas?

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 INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "6824" AND lab."CATEGORY" = "Blood Gas"

what is maximum age of patients whose insurance is private and discharge location is home?

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

SELECT MAX(demographic.age) FROM demographic WHERE demographic.insurance = "Private" AND demographic.discharge_location = "HOME"

how many patients posses private insurance and followed the procedure continous intra-arterial blood gas monitoring?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Private" AND procedures.long_title = "Continuous intra-arterial blood gas monitoring"

Count the number of patients admitted before 2124 categorized under chemistry lab tests.

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2124" AND lab."CATEGORY" = "Chemistry"

How many courses do the student whose id is 171 attend?

CREATE TABLE candidates ( candidate_id number, candidate_details text ) CREATE TABLE student_course_registrations ( student_id number, course_id number, registration_date time ) CREATE TABLE people_addresses ( person_address_id number, person_id number, address_id number, date_from time, date_to time ) CREATE TABLE courses ( course_id text, course_name text, course_description text, other_details text ) 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 students ( student_id number, student_details text ) CREATE TABLE candidate_assessments ( candidate_id number, qualification text, assessment_date time, asessment_outcome_code 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 )

SELECT COUNT(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T2.student_id = 171

For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, a bar chart shows the distribution of hire_date and the average of department_id bin hire_date by weekday, and order in desc by the the average of department id.

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 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 regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) )

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

what is language of subject name charles deshay?

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

SELECT demographic.language FROM demographic WHERE demographic.name = "Charles Deshay"

Show all card type codes and the number of cards in each type by a bar chart, and I want to rank names in ascending order.

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

SELECT card_type_code, COUNT(*) FROM Customers_Cards GROUP BY card_type_code ORDER BY card_type_code

find the number of hispanic/latino-puerto rican ethnic background patients who were born before 2071.

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "HISPANIC/LATINO - PUERTO RICAN" AND demographic.dob_year < "2071"

For those employees who was hired before 2002-06-21, draw a bar chart about the distribution of hire_date and the amount of hire_date bin hire_date by weekday, and rank in asc by the Y.

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 jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) ) CREATE TABLE 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 departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) )

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

what is maximum age of patients whose primary disease is overdose and days of hospital stay is 69?

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 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 = "OVERDOSE" AND demographic.days_stay = "69"

count the number of living patients who underwent endoscopic sphincterotomy and papillotomy.

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 prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text )

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "0" AND procedures.long_title = "Endoscopic sphincterotomy and papillotomy"

count the number of patients whose year of death is less than or equal to 2138 and procedure long title is other diagnostic procedures on nasal sinuses?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dod_year <= "2138.0" AND procedures.long_title = "Other diagnostic procedures on nasal sinuses"

how many patients whose age is less than 27 and drug route is left eye?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "27" AND prescriptions.route = "LEFT EYE"

What is the sum of credit value of courses with more than one prerequisite for each department? Return a bar chart, and show in descending by the dept_name.

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

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

Tell me the number of orders with 'Second time' as order detail.

CREATE TABLE order_items ( order_id number, product_id number, order_quantity text ) CREATE TABLE addresses ( address_id number, address_content text, city text, zip_postcode text, state_province_county text, country text, other_address_details text ) CREATE TABLE products ( product_id number, product_details text ) CREATE TABLE customer_addresses ( customer_id number, address_id number, date_address_from time, address_type text, date_address_to time ) CREATE TABLE customer_contact_channels ( customer_id number, channel_code text, active_from_date time, active_to_date time, contact_number text ) CREATE TABLE customers ( customer_id number, payment_method text, customer_name text, date_became_customer time, other_customer_details text ) CREATE TABLE customer_orders ( order_id number, customer_id number, order_status text, order_date time, order_details text )

SELECT COUNT(*) FROM customer_orders WHERE order_details = "Second time"

For those employees who was hired before 2002-06-21, show me about the distribution of job_id and the amount of job_id , and group by attribute job_id in a bar chart.

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

SELECT JOB_ID, COUNT(JOB_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID

Find the claim that has the largest total settlement amount. Return the effective date of the claim.

CREATE TABLE services ( service_id number, service_name text ) CREATE TABLE first_notification_of_loss ( fnol_id number, customer_id number, policy_id number, service_id number ) CREATE TABLE customers ( customer_id number, customer_name text ) CREATE TABLE claims ( claim_id number, fnol_id number, effective_date time ) CREATE TABLE settlements ( settlement_id number, claim_id number, effective_date time, settlement_amount number ) CREATE TABLE available_policies ( policy_id number, policy_type_code text, customer_phone text ) CREATE TABLE customers_policies ( customer_id number, policy_id number, date_opened time, date_closed time )

SELECT t1.effective_date FROM claims AS t1 JOIN settlements AS t2 ON t1.claim_id = t2.claim_id GROUP BY t1.claim_id ORDER BY SUM(t2.settlement_amount) DESC LIMIT 1

Display a bar chart for what is the average salary for each job title?

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 countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) )

SELECT JOB_TITLE, AVG(SALARY) FROM employees AS T1 JOIN jobs AS T2 ON T1.JOB_ID = T2.JOB_ID GROUP BY T2.JOB_TITLE

For each building, show the name of the building and the number of institutions in it Plot them as bar chart, and display X from low to high order.

CREATE TABLE Institution ( Institution_id text, Institution text, Location text, Founded real, Type text, Enrollment int, Team text, Primary_Conference text, building_id text ) CREATE TABLE protein ( common_name text, protein_name text, divergence_from_human_lineage real, accession_number text, sequence_length real, sequence_identity_to_human_protein text, Institution_id text ) CREATE TABLE building ( building_id text, Name text, Street_address text, Years_as_tallest text, Height_feet int, Floors int )

SELECT Name, COUNT(*) FROM building AS T1 JOIN Institution AS T2 ON T1.building_id = T2.building_id GROUP BY T1.building_id ORDER BY Name

how many patients had the drug code acet650r?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.formulary_drug_cd = "ACET650R"

Visualize the general trend of sum share count over the date of transaction, sort in descending by the X-axis.

CREATE TABLE Investors ( investor_id INTEGER, Investor_details VARCHAR(255) ) CREATE TABLE Ref_Transaction_Types ( transaction_type_code VARCHAR(10), transaction_type_description VARCHAR(80) ) CREATE TABLE Sales ( sales_transaction_id INTEGER, sales_details VARCHAR(255) ) CREATE TABLE Transactions_Lots ( transaction_id INTEGER, lot_id INTEGER ) CREATE TABLE Lots ( lot_id INTEGER, investor_id INTEGER, lot_details VARCHAR(255) ) 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 Purchases ( purchase_transaction_id INTEGER, purchase_details VARCHAR(255) )

SELECT date_of_transaction, SUM(share_count) FROM Transactions ORDER BY date_of_transaction DESC

what is death status and procedure long title of subject name bruce harris?

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 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 demographic.expire_flag, procedures.long_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.name = "Bruce Harris"

Bar chart x axis lot details y axis the number of lot details, rank in ascending by the total number.

CREATE TABLE Transactions_Lots ( transaction_id INTEGER, lot_id INTEGER ) CREATE TABLE Lots ( lot_id INTEGER, investor_id INTEGER, lot_details VARCHAR(255) ) CREATE TABLE Investors ( investor_id INTEGER, Investor_details VARCHAR(255) ) CREATE TABLE Ref_Transaction_Types ( transaction_type_code VARCHAR(10), transaction_type_description VARCHAR(80) ) 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 Sales ( sales_transaction_id INTEGER, sales_details VARCHAR(255) ) CREATE TABLE Purchases ( purchase_transaction_id INTEGER, purchase_details VARCHAR(255) )

SELECT lot_details, COUNT(lot_details) FROM Lots GROUP BY lot_details ORDER BY COUNT(lot_details)

What are the different 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 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 orders ( order_id number, customer_id number, date_order_placed time, order_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 invoices ( invoice_number number, order_id number, invoice_date time ) 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 accounts ( account_id number, customer_id number, date_account_opened time, account_name text, other_account_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 )

SELECT DISTINCT product_color FROM products

what is the number of patients with gastrointestinal bleed primary disease who stayed in hospital for more than 14 days?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "GASTROINTESTINAL BLEED" AND demographic.days_stay > "14"

For all employees who have the letters D or S in their first name, for salary, hire_date, visualize the trend, and order in asc by the x axis.

CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE 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 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 regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) )

SELECT HIRE_DATE, SALARY FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY HIRE_DATE

how many patients are admitted in emergency room and diagnosed primarily for transient ischemic attack?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "EMERGENCY ROOM ADMIT" AND demographic.diagnosis = "TRANSIENT ISCHEMIC ATTACK"

how many living patients had globulin lab test done?

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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.expire_flag = "0" AND lab.label = "Globulin"

count the number of patients whose marital status is widowed and lab test fluid is cerebrospinal fluid (csf)?

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

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

what is the primary disease and diagnosis short title of subject id 17772?

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 demographic.diagnosis, diagnoses.short_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "17772"

What is the total number of names of products?, rank by the y-axis in ascending.

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

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

what is the number of patients whose diagnoses long title is abdominal pain, other specified site 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 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Abdominal pain, other specified site" AND prescriptions.drug_type = "MAIN"

count the number of patients whose death status is 0 and procedure long title is allogeneic hematopoietic stem cell transpant without purging?

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 INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "0" AND procedures.long_title = "Allogeneic hematopoietic stem cell transpant without purging"

papers by oren etzioni

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

SELECT DISTINCT writes.paperid FROM author, writes WHERE author.authorname = 'oren etzioni' AND writes.authorid = author.authorid

Line chart, the X is the hire date of employees and the Y-axis is the corresponding salary, and I want to list X-axis from high to low 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 jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE employees ( EMPLOYEE_ID decimal(6,0), FIRST_NAME varchar(20), LAST_NAME varchar(25), EMAIL varchar(25), PHONE_NUMBER varchar(20), HIRE_DATE date, JOB_ID varchar(10), SALARY decimal(8,2), COMMISSION_PCT decimal(2,2), MANAGER_ID decimal(6,0), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) )

SELECT HIRE_DATE, SALARY FROM employees ORDER BY HIRE_DATE DESC

how many patients whose admission type is newborn and diagnoses long title is esophageal reflux?

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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "NEWBORN" AND diagnoses.long_title = "Esophageal reflux"

give me the number of patients whose ethnicity is white - russian and drug route is id?

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 ) 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 = "WHITE - RUSSIAN" AND prescriptions.route = "ID"

what number of patients with diagnoses icd9 code 99592 passed away in or before the year 2164?

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.dod_year <= "2164.0" AND diagnoses.icd9_code = "99592"

what is primary disease and discharge time of subject id 26285?

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

SELECT demographic.diagnosis, demographic.dischtime FROM demographic WHERE demographic.subject_id = "26285"

how many patients are admitted before the year 2162 and diagnosed with icd9 code v1009?

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 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 < "2162" AND diagnoses.icd9_code = "V1009"

Who has published more papers in NSDI ?

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

SELECT DISTINCT COUNT(DISTINCT paper.paperid), writes.authorid FROM paper, venue, writes WHERE venue.venueid = paper.venueid AND venue.venuename = 'NSDI' AND writes.paperid = paper.paperid GROUP BY writes.authorid ORDER BY COUNT(DISTINCT paper.paperid) DESC

Find the number of hispanic or latino-puerto rican patients who were born before 2200.

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "HISPANIC/LATINO - PUERTO RICAN" AND demographic.dob_year < "2200"

What is the highest student GPA for every department? Return a bar chart, and list X in asc order.

CREATE TABLE STUDENT ( STU_NUM int, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int ) CREATE TABLE EMPLOYEE ( EMP_NUM int, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) CREATE TABLE CLASS ( CLASS_CODE varchar(5), CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int ) CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5) ) CREATE TABLE COURSE ( CRS_CODE varchar(10), DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8) ) CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50) ) CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10), DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4) )

SELECT DEPT_CODE, MAX(STU_GPA) FROM STUDENT GROUP BY DEPT_CODE ORDER BY DEPT_CODE

What are the distinct details of invoices created before 1989-09-03 or after 2007-12-25?

CREATE TABLE orders ( order_id number, customer_id number, order_status text, date_order_placed time, order_details text ) CREATE TABLE shipment_items ( shipment_id number, order_item_id number ) CREATE TABLE products ( product_id number, product_name text, product_details text ) CREATE TABLE invoices ( invoice_number number, invoice_date time, invoice_details text ) CREATE TABLE shipments ( shipment_id number, order_id number, invoice_number number, shipment_tracking_number text, shipment_date time, other_shipment_details text ) CREATE TABLE customers ( customer_id number, customer_name text, customer_details text ) CREATE TABLE order_items ( order_item_id number, product_id number, order_id number, order_item_status text, order_item_details text )

SELECT DISTINCT invoice_details FROM invoices WHERE invoice_date < "1989-09-03" OR invoice_date > "2007-12-25"

what is minimum age of patients whose marital status is married and age is greater than or equal to 36?

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

SELECT MIN(demographic.age) FROM demographic WHERE demographic.marital_status = "MARRIED" AND demographic.age >= "36"

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

CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE 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 jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) ) CREATE TABLE locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY varchar(30), STATE_PROVINCE varchar(25), COUNTRY_ID varchar(2) )

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

what is the number of medicare patients who have procedure icd9 code 9703?

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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Medicare" AND procedures.icd9_code = "9703"

what is subject name and marital status of subject id 2560?

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 demographic.name, demographic.marital_status FROM demographic WHERE demographic.subject_id = "2560"

List the number of completion students in each day and bin date of completion by weekday with a bar chart.

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 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) ) CREATE TABLE Subjects ( subject_id INTEGER, subject_name VARCHAR(120) ) CREATE TABLE Student_Course_Enrolment ( registration_id INTEGER, student_id INTEGER, course_id INTEGER, date_of_enrolment DATETIME, date_of_completion DATETIME )

SELECT date_of_completion, COUNT(date_of_completion) FROM Student_Course_Enrolment

what is the average age of patients who have stayed in the hospital for 4 days with a government insurance policy?

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 AVG(demographic.age) FROM demographic WHERE demographic.insurance = "Government" AND demographic.days_stay = "4"

A bar chart about how many classes are held in each department?

CREATE TABLE COURSE ( CRS_CODE varchar(10), DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8) ) CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5) ) CREATE TABLE EMPLOYEE ( EMP_NUM int, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10), DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4) ) CREATE TABLE STUDENT ( STU_NUM int, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int ) CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50) ) CREATE TABLE CLASS ( CLASS_CODE varchar(5), CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int )

SELECT DEPT_CODE, COUNT(*) FROM CLASS AS T1 JOIN COURSE AS T2 ON T1.CRS_CODE = T2.CRS_CODE GROUP BY DEPT_CODE

how many patients staying in the hospital for more than 20 days had the procedure under icd9 code 9907?

CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE 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 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.days_stay > "20" AND procedures.icd9_code = "9907"

give me the number of patients whose death status is 0 and procedure short title is int insert lead in vent?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "0" AND procedures.short_title = "Int insert lead in vent"

For all employees who have the letters D or S in their first name, draw a bar chart about the distribution of hire_date and the average of salary bin hire_date by time, I want to sort in asc by the Y-axis.

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

SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY AVG(SALARY)

Bar chart of the number of course name from each course name

CREATE TABLE Candidates ( candidate_id INTEGER, candidate_details VARCHAR(255) ) CREATE TABLE Student_Course_Attendance ( student_id INTEGER, course_id INTEGER, date_of_attendance DATETIME ) CREATE TABLE People_Addresses ( person_address_id INTEGER, person_id INTEGER, address_id INTEGER, date_from DATETIME, date_to DATETIME ) CREATE TABLE Student_Course_Registrations ( student_id INTEGER, course_id INTEGER, registration_date DATETIME ) CREATE TABLE Addresses ( address_id INTEGER, line_1 VARCHAR(80), line_2 VARCHAR(80), city VARCHAR(50), zip_postcode CHAR(20), state_province_county VARCHAR(50), country VARCHAR(50) ) CREATE TABLE Courses ( course_id VARCHAR(100), course_name VARCHAR(120), course_description VARCHAR(255), other_details VARCHAR(255) ) CREATE TABLE Students ( student_id INTEGER, student_details VARCHAR(255) ) CREATE TABLE People ( person_id INTEGER, first_name VARCHAR(255), middle_name VARCHAR(255), last_name VARCHAR(255), cell_mobile_number VARCHAR(40), email_address VARCHAR(40), login_name VARCHAR(40), password VARCHAR(40) ) CREATE TABLE Candidate_Assessments ( candidate_id INTEGER, qualification CHAR(15), assessment_date DATETIME, asessment_outcome_code CHAR(15) )

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

count the number of patients whose primary disease is bowel obstruction and age is less than 56?

CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) 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 = "BOWEL OBSTRUCTION" AND demographic.age < "56"

how many patients whose diagnoses long title is perforation of intestine and lab test category is blood gas?

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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Perforation of intestine" AND lab."CATEGORY" = "Blood Gas"

For those employees who do not work in departments with managers that have ids between 100 and 200, visualize a bar chart about the distribution of hire_date and the average of salary bin hire_date by weekday, could you order the average of salary in ascending order?

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

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

How many papers does james fogarty have in uist ?

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

SELECT DISTINCT COUNT(paper.paperid) FROM author, paper, venue, writes WHERE author.authorname = 'james fogarty' AND venue.venueid = paper.venueid AND venue.venuename = 'uist' AND writes.authorid = author.authorid AND writes.paperid = paper.paperid

count the number of patients less than 41 years for whom urine lab test was ordered.

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.age < "41" AND lab.fluid = "Urine"

give me the number of patients whose death status is 0 and diagnoses icd9 code is 78052?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.expire_flag = "0" AND diagnoses.icd9_code = "78052"

give me the number of patients whose lab test name is glucose, csf?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.label = "Glucose, CSF"

For those employees who was hired before 2002-06-21, draw a bar chart about the distribution of job_id and the amount of job_id , and group by attribute job_id, order bars from high to low order please.

CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE 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 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 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 JOB_ID, COUNT(JOB_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY JOB_ID DESC

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

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 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 jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY decimal(6,0), MAX_SALARY decimal(6,0) )

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

how many patients are diagnosed with the history of tobacco use and tested under the lab category blood gas?

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 INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "History of tobacco use" AND lab."CATEGORY" = "Blood Gas"

Return a scatter on what is the average salary of employees who have a commission percentage that is not null?

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

SELECT DEPARTMENT_ID, AVG(SALARY) FROM employees WHERE COMMISSION_PCT <> "null" GROUP BY DEPARTMENT_ID

how many female patients had the item id 51351?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.gender = "F" AND lab.itemid = "51351"

count the number of patients whose admission type is elective and admission location is phys referral/normal deli?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.admission_location = "PHYS REFERRAL/NORMAL DELI"

Pie. how many departments are in each school?

CREATE TABLE STUDENT ( STU_NUM int, STU_LNAME varchar(15), STU_FNAME varchar(15), STU_INIT varchar(1), STU_DOB datetime, STU_HRS int, STU_CLASS varchar(2), STU_GPA float(8), STU_TRANSFER numeric, DEPT_CODE varchar(18), STU_PHONE varchar(4), PROF_NUM int ) CREATE TABLE EMPLOYEE ( EMP_NUM int, EMP_LNAME varchar(15), EMP_FNAME varchar(12), EMP_INITIAL varchar(1), EMP_JOBCODE varchar(5), EMP_HIREDATE datetime, EMP_DOB datetime ) CREATE TABLE DEPARTMENT ( DEPT_CODE varchar(10), DEPT_NAME varchar(30), SCHOOL_CODE varchar(8), EMP_NUM int, DEPT_ADDRESS varchar(20), DEPT_EXTENSION varchar(4) ) CREATE TABLE COURSE ( CRS_CODE varchar(10), DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8) ) CREATE TABLE CLASS ( CLASS_CODE varchar(5), CRS_CODE varchar(10), CLASS_SECTION varchar(2), CLASS_TIME varchar(20), CLASS_ROOM varchar(8), PROF_NUM int ) CREATE TABLE PROFESSOR ( EMP_NUM int, DEPT_CODE varchar(10), PROF_OFFICE varchar(50), PROF_EXTENSION varchar(4), PROF_HIGH_DEGREE varchar(5) ) CREATE TABLE ENROLL ( CLASS_CODE varchar(5), STU_NUM int, ENROLL_GRADE varchar(50) )

SELECT SCHOOL_CODE, COUNT(DISTINCT DEPT_NAME) FROM DEPARTMENT

how many patients on inhalation route of drug administration have other psoriasis diagnoses?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Other psoriasis" AND prescriptions.route = "INHALATION"

provide the number of patients whose primary disease is stemi and who have died before or in year 2183.

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 WHERE demographic.diagnosis = "STEMI" AND demographic.dod_year <= "2183.0"

What details are there on the research staff? List the result in ascending alphabetical order, and count them by a bar chart

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

SELECT staff_details, COUNT(staff_details) FROM Research_Staff GROUP BY staff_details ORDER BY staff_details

provide the number of patients whose admission year is less than 2174 and diagnoses short title is thrush?

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.admityear < "2174" AND diagnoses.short_title = "Thrush"

how many patients are primarily diagnosed for s/p hanging and died in or before 2126?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "S/P HANGING" AND demographic.dod_year <= "2126.0"

what is the primary disease for the patient id 92796?

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 demographic.diagnosis FROM demographic WHERE demographic.subject_id = "92796"

how many government health insurance patients were diagnosed with retained foreign body of plastic fragments?

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

List the all the distinct names of the products with the characteristic name 'warm'.

CREATE TABLE characteristics ( characteristic_id number, characteristic_type_code text, characteristic_data_type text, characteristic_name text, other_characteristic_details text ) CREATE TABLE product_characteristics ( product_id number, characteristic_id number, product_characteristic_value text ) CREATE TABLE ref_colors ( color_code text, color_description text ) CREATE TABLE ref_characteristic_types ( characteristic_type_code text, characteristic_type_description text ) CREATE TABLE products ( product_id number, color_code text, product_category_code text, product_name text, typical_buying_price text, typical_selling_price text, product_description text, other_product_details text ) CREATE TABLE ref_product_categories ( product_category_code text, product_category_description text, unit_of_measure text )

SELECT DISTINCT t1.product_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN characteristics AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t3.characteristic_name = "warm"

What are the birth places of players won on hall of fame since 1871?

CREATE TABLE hall_of_fame ( player_id text, yearid number, votedby text, ballots text, needed text, votes text, inducted text, category text, needed_note text ) CREATE TABLE player_award ( player_id text, award_id text, year number, league_id text, tie text, notes text ) CREATE TABLE player ( player_id text, birth_year text, birth_month text, birth_day text, birth_country text, birth_state text, birth_city text, death_year text, death_month text, death_day text, death_country text, death_state text, death_city text, name_first text, name_last text, name_given text, weight text ) CREATE TABLE player_award_vote ( award_id text, year number, league_id text, player_id text, points_won number, points_max number, votes_first text ) CREATE TABLE salary ( year number, team_id text, league_id text, player_id text, salary number )

SELECT T1.birth_country FROM hall_of_fame AS T2 JOIN player AS T1 ON T1.player_id = T2.player_id WHERE T2.inducted = "Y" AND T2.yearid >= 1871

which patients underwent atrial cardioversion and are still alive?

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 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "0" AND procedures.short_title = "Atrial cardioversion"

Give me a group line chart showing the number of documents in different ending date. The x-axis is ending date and group by location code.

CREATE TABLE Ref_Locations ( Location_Code CHAR(15), Location_Name VARCHAR(255), Location_Description VARCHAR(255) ) CREATE TABLE Ref_Document_Types ( Document_Type_Code CHAR(15), Document_Type_Name VARCHAR(255), Document_Type_Description VARCHAR(255) ) CREATE TABLE All_Documents ( Document_ID INTEGER, Date_Stored DATETIME, Document_Type_Code CHAR(15), Document_Name CHAR(255), Document_Description CHAR(255), Other_Details VARCHAR(255) ) CREATE TABLE Documents_to_be_Destroyed ( Document_ID INTEGER, Destruction_Authorised_by_Employee_ID INTEGER, Destroyed_by_Employee_ID INTEGER, Planned_Destruction_Date DATETIME, Actual_Destruction_Date DATETIME, Other_Details VARCHAR(255) ) CREATE TABLE Roles ( Role_Code CHAR(15), Role_Name VARCHAR(255), Role_Description VARCHAR(255) ) CREATE TABLE Ref_Calendar ( Calendar_Date DATETIME, Day_Number INTEGER ) CREATE TABLE Employees ( Employee_ID INTEGER, Role_Code CHAR(15), Employee_Name VARCHAR(255), Gender_MFU CHAR(1), Date_of_Birth DATETIME, Other_Details VARCHAR(255) ) CREATE TABLE Document_Locations ( Document_ID INTEGER, Location_Code CHAR(15), Date_in_Location_From DATETIME, Date_in_Locaton_To DATETIME )

SELECT Date_in_Locaton_To, COUNT(Date_in_Locaton_To) FROM Document_Locations GROUP BY Location_Code, Date_in_Locaton_To

For those employees who did not have any job in the past, return a scatter chart about the correlation between employee_id and commission_pct .

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 job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) )

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

provide the number of patients whose admission type is elective and procedure long title is umbilical vein catheterization?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND procedures.long_title = "Umbilical vein catheterization"

how many patients marital status is married and are below 31 years of age?

CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) 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.marital_status = "MARRIED" AND demographic.age < "31"

What conferences does Noah A. Smith publish in ?

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 paper.venueid FROM author, paper, writes WHERE author.authorname = 'Noah A. Smith' AND writes.authorid = author.authorid AND writes.paperid = paper.paperid

Find the number of patients whose ethnicity is white - russian and drug route is ivpca?

CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location text, discharge_location text, diagnosis text, dod text, dob_year text, dod_year text, admittime text, dischtime text, admityear text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) 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.ethnicity = "WHITE - RUSSIAN" AND prescriptions.route = "IVPCA"

Show me about the distribution of meter_200 and the average of meter_100 , and group by attribute meter_200 in a bar chart, and could you show mean meter 100 from low to high order?

CREATE TABLE event ( ID int, Name text, Stadium_ID int, Year text ) CREATE TABLE record ( ID int, Result text, Swimmer_ID int, Event_ID int ) CREATE TABLE stadium ( ID int, name text, Capacity int, City text, Country text, Opening_year 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 )

SELECT meter_200, AVG(meter_100) FROM swimmer GROUP BY meter_200 ORDER BY AVG(meter_100)

Find the name of the activity that has the largest number of student participants.

CREATE TABLE participates_in ( stuid number, actid number ) CREATE TABLE student ( stuid number, lname text, fname text, age number, sex text, major number, advisor number, city_code text ) CREATE TABLE faculty_participates_in ( facid number, actid number ) CREATE TABLE activity ( actid number, activity_name text ) CREATE TABLE faculty ( facid number, lname text, fname text, rank text, sex text, phone number, room text, building text )

SELECT T1.activity_name FROM activity AS T1 JOIN participates_in AS T2 ON T1.actid = T2.actid GROUP BY T1.actid ORDER BY COUNT(*) DESC LIMIT 1

how many patients admitted to emergency were treated with abacavir sulfate?

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

SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND prescriptions.drug = "Abacavir Sulfate"