instruction
stringlengths
11
446
input
stringlengths
195
2.3k
response
stringlengths
26
460
what number of patients with hematology as lab test category had complete atroiventricular block?
CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id...
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 = "Atrioventricular block, complete" AND lab."CATEGORY" = "Hematology"
what is admission time and drug name of subject id 42963?
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 ...
SELECT demographic.admittime, prescriptions.drug FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.subject_id = "42963"
What are the full names and department ids for the lowest paid employees across all departments.
CREATE TABLE regions ( region_id number, region_name text ) CREATE TABLE countries ( country_id text, country_name text, region_id number ) CREATE TABLE job_history ( employee_id number, start_date time, end_date time, job_id text, department_id number ) CREATE TABLE departmen...
SELECT first_name, last_name, department_id FROM employees WHERE salary IN (SELECT MIN(salary) FROM employees GROUP BY department_id)
find the number of patients diagnosed with blood in stool had the drug route as replace.
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 ( ...
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 = "Blood in stool" AND prescriptions.route = "REPLACE"
how many patients whose diagnoses long title is malignant neoplasm of descending colon and lab test category is hematology?
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,...
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 = "Malignant neoplasm of descending colon" AND lab."CATEGORY" = "Hematology"
Show me a bar chart for how many bookings does each booking status have? List the booking status code and the number of corresponding bookings.
CREATE TABLE Apartment_Buildings ( building_id INTEGER, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80) ) CREATE TABLE View_Unit_Status ( apt_id INTEG...
SELECT booking_status_code, COUNT(*) FROM Apartment_Bookings GROUP BY booking_status_code
A bar chart for what are the number of the facility codes of the apartments with more than four bedrooms?, and sort in ascending by the the number of facility code.
CREATE TABLE Apartment_Buildings ( building_id INTEGER, building_short_name CHAR(15), building_full_name VARCHAR(80), building_description VARCHAR(255), building_address VARCHAR(255), building_manager VARCHAR(50), building_phone VARCHAR(80) ) CREATE TABLE Apartment_Facilities ( apt_id I...
SELECT facility_code, COUNT(facility_code) FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4 GROUP BY facility_code ORDER BY COUNT(facility_code)
What are the number of the wines that have prices lower than 50 and have appelations in Monterey county?, sort y-axis from high to low order please.
CREATE TABLE grapes ( ID INTEGER, Grape TEXT, Color TEXT ) CREATE TABLE wine ( No INTEGER, Grape TEXT, Winery TEXT, Appelation TEXT, State TEXT, Name TEXT, Year INTEGER, Price INTEGER, Score INTEGER, Cases INTEGER, Drink TEXT ) CREATE TABLE appellations ( No...
SELECT Name, COUNT(Name) FROM appellations AS T1 JOIN wine AS T2 ON T1.Appelation = T2.Appelation WHERE T1.County = "Monterey" AND T2.Price < 50 GROUP BY Name ORDER BY COUNT(Name) DESC
count the number of patients whose age is less than 80 and drug name is oseltamivir?
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, ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "80" AND prescriptions.drug = "Oseltamivir"
how many patients whose admission location is clinic referral/premature underwent endoscopic sphincterotomy and papillotomy?
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 ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND procedures.long_title = "Endoscopic sphincterotomy and papillotomy"
For those employees who was hired before 2002-06-21, a bar chart shows the distribution of job_id and the sum of manager_id , and group by attribute job_id, rank by the x-axis in asc.
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), ...
SELECT JOB_ID, SUM(MANAGER_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY JOB_ID
Plot a scatter chart, invoice number by the total number .
CREATE TABLE Invoices ( invoice_number INTEGER, order_id INTEGER, invoice_date DATETIME ) CREATE TABLE Financial_Transactions ( transaction_id INTEGER, account_id INTEGER, invoice_number INTEGER, transaction_type VARCHAR(15), transaction_date DATETIME, transaction_amount DECIMAL(19,...
SELECT invoice_number, COUNT(*) FROM Financial_Transactions GROUP BY invoice_number
what is drug dose of drug name ciprofloxacin hcl?
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, ...
SELECT prescriptions.drug_dose FROM prescriptions WHERE prescriptions.drug = "Ciprofloxacin HCl"
Give the number of patients whose ethnicity is black/cape verdean that had a lab test named potassium ,urine.
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 t...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.ethnicity = "BLACK/CAPE VERDEAN" AND lab.label = "Potassium, Urine"
how many patients admitted via office referral are less than 49 years of age?
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.admission_location = "PHYS REFERRAL/NORMAL DELI" AND demographic.age < "49"
how many patients whose drug name is milrinone?
CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescriptions ( subject_id text, hadm_id...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.drug = "Milrinone"
count the number of patients whose ethnicity is asian and procedure long title is small-to-small intestinal anastomosis?
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, ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.ethnicity = "ASIAN" AND procedures.long_title = "Small-to-small intestinal anastomosis"
Return a bar chart on what are the district names and city populations for all districts that between 200,000 and 2,000,000 residents?, I want to sort by the bars in asc please.
CREATE TABLE product ( product_id int, product text, dimensions text, dpi real, pages_per_minute_color real, max_page_size text, interface text ) CREATE TABLE district ( District_ID int, District_name text, Headquartered_City text, City_Population real, City_Area real ) ...
SELECT District_name, City_Population FROM district WHERE City_Population BETWEEN 200000 AND 2000000 ORDER BY District_name
how many patients whose admission year is less than 2197 and procedure icd9 code is 3323?
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 t...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2197" AND procedures.icd9_code = "3323"
return me the paper in Databases area with more than 200 citations .
CREATE TABLE domain ( did int, name varchar ) CREATE TABLE publication ( abstract varchar, cid int, citation_num int, jid int, pid int, reference_num int, title varchar, year int ) CREATE TABLE keyword ( keyword varchar, kid int ) CREATE TABLE conference ( cid int,...
SELECT publication.title FROM domain, domain_publication, publication WHERE domain.did = domain_publication.did AND domain.name = 'Databases' AND publication.citation_num > 200 AND publication.pid = domain_publication.pid
For all employees who have the letters D or S in their first name, find hire_date and the average of manager_id bin hire_date by time, and visualize them by a bar chart.
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...
SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%'
What are the draft pick numbers and draft classes for players who play the Defender position Show bar chart, and could you order x-axis in descending order?
CREATE TABLE country ( Country_id int, Country_name text, Capital text, Official_native_language text ) CREATE TABLE player ( Player_ID int, Player text, Years_Played text, Total_WL text, Singles_WL text, Doubles_WL text, Team int ) CREATE TABLE match_season ( Season re...
SELECT Draft_Class, Draft_Pick_Number FROM match_season WHERE Position = "Defender" ORDER BY Draft_Class DESC
give me the number of patients whose admission type is emergency and item id is 51256?
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 ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND lab.itemid = "51256"
tell me the number of private insurance patients who had elective hospital admission.
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, ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.insurance = "Private"
how many patients whose admission type is elective and year of birth is less than 2078?
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, ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.dob_year < "2078"
Which last names are both used by customers and by staff?
CREATE TABLE staff ( staff_id number, staff_address_id number, nickname text, first_name text, middle_name text, last_name text, date_of_birth time, date_joined_staff time, date_left_staff time ) CREATE TABLE customer_payments ( customer_id number, datetime_payment time, ...
SELECT last_name FROM customers INTERSECT SELECT last_name FROM staff
count the number of patients whose admission type is emergency and procedure long title is other partial resection of small intestine?
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, ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND procedures.long_title = "Other partial resection of small intestine"
give me the number of patients whose admission year is less than 2121 and diagnoses short title is constipation 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 ) ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2121" AND diagnoses.short_title = "Constipation NOS"
show me the number of male patients who were born before 2101.
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 t...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.dob_year < "2101"
what is date of birth of subject name jerry deberry?
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 ) C...
SELECT demographic.dob FROM demographic WHERE demographic.name = "Jerry Deberry"
Compute the proportion of names of each product by a pie chart.
CREATE TABLE Customers ( customer_id INTEGER, customer_name VARCHAR(80), customer_details VARCHAR(255) ) CREATE TABLE Orders ( order_id INTEGER, customer_id INTEGER, order_status VARCHAR(10), date_order_placed DATETIME, order_details VARCHAR(255) ) CREATE TABLE Products ( product_i...
SELECT product_name, COUNT(product_name) FROM Orders AS T1 JOIN Order_Items AS T2 JOIN Products AS T3 ON T1.order_id = T2.order_id AND T2.product_id = T3.product_id GROUP BY product_name
What are the last names that are used by customers and staff?
CREATE TABLE customer_payments ( customer_id number, datetime_payment time, payment_method_code text, amount_payment number ) CREATE TABLE customers ( customer_id number, customer_address_id number, customer_status_code text, date_became_customer time, date_of_birth time, first_...
SELECT last_name FROM customers INTERSECT SELECT last_name FROM staff
give me the number of patients whose lab test name is free calcium?
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...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.label = "Free Calcium"
Count different addresses of each school.
CREATE TABLE department ( dept_code text, dept_name text, school_code text, emp_num number, dept_address text, dept_extension text ) CREATE TABLE class ( class_code text, crs_code text, class_section text, class_time text, class_room text, prof_num number ) CREATE TABLE...
SELECT COUNT(DISTINCT dept_address), school_code FROM department GROUP BY school_code
How many accounts are opened in each day? Bin the account open day by weekday in a bar chart, and sort by the Y-axis in asc.
CREATE TABLE Order_Items ( order_item_id INTEGER, order_id INTEGER, product_id INTEGER, product_quantity VARCHAR(50), other_order_item_details VARCHAR(255) ) CREATE TABLE Accounts ( account_id INTEGER, customer_id INTEGER, date_account_opened DATETIME, account_name VARCHAR(50), ...
SELECT date_account_opened, COUNT(date_account_opened) FROM Accounts ORDER BY COUNT(date_account_opened)
what is age and date of birth of subject name paul edwards?
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...
SELECT demographic.age, demographic.dob FROM demographic WHERE demographic.name = "Paul Edwards"
Show the names of donors who donated to both school 'Glenn' and 'Triton.
CREATE TABLE endowment ( endowment_id number, school_id number, donator_name text, amount number ) CREATE TABLE budget ( school_id number, year number, budgeted number, total_budget_percent_budgeted number, invested number, total_budget_percent_invested number, budget_invest...
SELECT T1.donator_name FROM endowment AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id WHERE T2.school_name = 'Glenn' INTERSECT SELECT T1.donator_name FROM endowment AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id WHERE T2.school_name = 'Triton'
A bar chart shows the distribution of password and gender_mf .
CREATE TABLE Course_Authors_and_Tutors ( author_id INTEGER, author_tutor_ATB VARCHAR(3), login_name VARCHAR(40), password VARCHAR(40), personal_name VARCHAR(80), middle_name VARCHAR(80), family_name VARCHAR(80), gender_mf VARCHAR(1), address_line_1 VARCHAR(80) ) CREATE TABLE Courses...
SELECT password, gender_mf FROM Course_Authors_and_Tutors ORDER BY personal_name
Bar chart x axis dept code y axis minimal stu gpa
CREATE TABLE COURSE ( CRS_CODE varchar(10), DEPT_CODE varchar(10), CRS_DESCRIPTION varchar(35), CRS_CREDIT float(8) ) 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...
SELECT DEPT_CODE, MIN(STU_GPA) FROM STUDENT GROUP BY DEPT_CODE
Show all dates of transactions whose type code is 'SALE', and count them by a line chart, and list x axis from high to low order.
CREATE TABLE Lots ( lot_id INTEGER, investor_id INTEGER, lot_details VARCHAR(255) ) CREATE TABLE Transactions_Lots ( transaction_id INTEGER, lot_id INTEGER ) CREATE TABLE Purchases ( purchase_transaction_id INTEGER, purchase_details VARCHAR(255) ) CREATE TABLE Transactions ( transacti...
SELECT date_of_transaction, COUNT(date_of_transaction) FROM Transactions WHERE transaction_type_code = "SALE" ORDER BY date_of_transaction DESC
Can you draw the trend of salary over the hire date?, list from high to low by the x-axis.
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), ...
SELECT HIRE_DATE, SALARY FROM employees ORDER BY HIRE_DATE DESC
what is the number of patients whose marital status is widowed and diagnoses short title is nb transitory tachypnea?
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 ( ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.marital_status = "WIDOWED" AND diagnoses.short_title = "NB transitory tachypnea"
what papers do Parsing papers typically cite ?
CREATE TABLE field ( fieldid int ) CREATE TABLE paper ( paperid int, title varchar, venueid int, year int, numciting int, numcitedby int, journalid int ) CREATE TABLE paperdataset ( paperid int, datasetid int ) CREATE TABLE journal ( journalid int, journalname varchar ...
SELECT DISTINCT cite.citedpaperid FROM cite, keyphrase, paper, paperkeyphrase WHERE keyphrase.keyphrasename = 'Parsing' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = cite.citingpaperid AND paper.paperid = paperkeyphrase.paperid
What are all the employee ids and the names of the countries in which they work Visualize by bar chart, and show total number in ascending order.
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(...
SELECT COUNTRY_NAME, SUM(EMPLOYEE_ID) FROM employees AS T1 JOIN departments AS T2 ON T1.DEPARTMENT_ID = T2.DEPARTMENT_ID JOIN locations AS T3 ON T2.LOCATION_ID = T3.LOCATION_ID JOIN countries AS T4 ON T3.COUNTRY_ID = T4.COUNTRY_ID GROUP BY COUNTRY_NAME ORDER BY SUM(EMPLOYEE_ID)
What are the first names of the faculty members playing both Canoeing and Kayaking?
CREATE TABLE faculty ( facid number, lname text, fname text, rank text, sex text, phone number, room text, building text ) CREATE TABLE activity ( actid number, activity_name text ) CREATE TABLE student ( stuid number, lname text, fname text, age number, sex...
SELECT T1.lname FROM faculty AS T1 JOIN faculty_participates_in AS T2 ON T1.facid = T2.facid JOIN activity AS T3 ON T2.actid = T2.actid WHERE T3.activity_name = 'Canoeing' INTERSECT SELECT T1.lname FROM faculty AS T1 JOIN faculty_participates_in AS T2 ON T1.facid = T2.facid JOIN activity AS T3 ON T2.actid = T2.actid WH...
Group and count the move in date in a bar chart, order in desc by the Y please.
CREATE TABLE Customers ( customer_id INTEGER, customer_details VARCHAR(255) ) CREATE TABLE Properties ( property_id INTEGER, property_type_code CHAR(15), property_address VARCHAR(255), other_details VARCHAR(255) ) CREATE TABLE Residents_Services ( resident_id INTEGER, service_id INTEGE...
SELECT date_moved_in, COUNT(date_moved_in) FROM Customer_Events GROUP BY date_moved_in ORDER BY COUNT(date_moved_in) DESC
Calculate the total number of portuguese speaking patients.
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 ( ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.language = "PORT"
provide the number of patients whose diagnoses short title is routine circumcision and drug route is ng.
CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion 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 = "Routine circumcision" AND prescriptions.route = "NG"
datasets used for evaluating semantic parsing
CREATE TABLE keyphrase ( keyphraseid int, keyphrasename varchar ) CREATE TABLE paperfield ( fieldid int, paperid int ) CREATE TABLE venue ( venueid int, venuename varchar ) CREATE TABLE field ( fieldid int ) CREATE TABLE dataset ( datasetid int, datasetname varchar ) CREATE TABL...
SELECT DISTINCT dataset.datasetid FROM dataset, keyphrase, paperdataset, paperkeyphrase WHERE keyphrase.keyphrasename = 'semantic parsing' AND paperdataset.datasetid = dataset.datasetid AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paperkeyphrase.paperid = paperdataset.paperid
Show the facility codes of apartments with more than 4 bedrooms, and count them by a bar chart, list facility_code from high to low order.
CREATE TABLE Apartment_Bookings ( apt_booking_id INTEGER, apt_id INTEGER, guest_id INTEGER, booking_status_code CHAR(15), booking_start_date DATETIME, booking_end_date DATETIME ) CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME, availa...
SELECT facility_code, COUNT(facility_code) FROM Apartment_Facilities AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.bedroom_count > 4 GROUP BY facility_code ORDER BY facility_code DESC
how many patients with admission year before 2178 have abnormal lab test results?
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 t...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2178" AND lab.flag = "abnormal"
Give me the number of widow patients who had a urine albumin/creatinine lab test.
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 (...
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.label = "Albumin/Creatinine, Urine"
how many patients discharged to psychiatric facility-partial hospitalization were admitted to hospital before 2187?
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 ) C...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "DISCH-TRAN TO PSYCH HOSP" AND demographic.admityear < "2187"
how many male patients had 102 as their procedure icd9 code?
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, ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.gender = "M" AND procedures.icd9_code = "102"
How many professors attained either Ph.D. or Masters degrees?
CREATE TABLE department ( dept_code text, dept_name text, school_code text, emp_num number, dept_address text, dept_extension text ) CREATE TABLE professor ( emp_num number, dept_code text, prof_office text, prof_extension text, prof_high_degree text ) CREATE TABLE employee...
SELECT COUNT(*) FROM professor WHERE prof_high_degree = 'Ph.D.' OR prof_high_degree = 'MA'
what is drug type and drug code of drug name propafenone hcl?
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 ) C...
SELECT prescriptions.drug_type, prescriptions.formulary_drug_cd FROM prescriptions WHERE prescriptions.drug = "Propafenone HCl"
what is the number of patients whose year of birth is less than 2071?
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...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.dob_year < "2071"
provide the number of patients whose diagnoses long title is sepsis?
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 t...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.long_title = "Sepsis"
What is the relationship between account id and name for all account? Return a scatter chart.
CREATE TABLE Orders ( order_id INTEGER, customer_id INTEGER, date_order_placed DATETIME, order_details VARCHAR(255) ) CREATE TABLE Invoices ( invoice_number INTEGER, order_id INTEGER, invoice_date DATETIME ) CREATE TABLE Invoice_Line_Items ( order_item_id INTEGER, invoice_number IN...
SELECT account_id, account_name FROM Accounts GROUP BY other_account_details
what is the number of patients whose admission location is clinic referral/premature and procedure short title is endosc retro cholangiopa?
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 ( ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND procedures.short_title = "Endosc retro cholangiopa"
provide the number of patients whose primary disease is st elevated myocardial infarction\cardiac cath and admission year is less than 2197?
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 t...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "ST ELEVATED MYOCARDIAL INFARCTION\CARDIAC CATH" AND demographic.admityear < "2197"
What is the number of patients who had a lymphocytes lab test and stayed in the hospital for more than 26 days?
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) C...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "26" AND lab.label = "Lymphocytes"
what is the number of patients whose insurance is medicaid and primary disease is bradycardia?
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 ) C...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.insurance = "Medicaid" AND demographic.diagnosis = "BRADYCARDIA"
what is the number of patients whose marital status is single and procedure long title is single internal mammary-coronary artery bypass?
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 ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.marital_status = "SINGLE" AND procedures.long_title = "Single internal mammary-coronary artery bypass"
what number of patients with elective admission type had hemodialysis?
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 t...
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.short_title = "Hemodialysis"
provide the number of patients whose diagnoses long title is abnormal coagulation profile and lab test category is chemistry?
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, ...
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 = "Abnormal coagulation profile" AND lab."CATEGORY" = "Chemistry"
what is age and primary disease of subject name steven sepulveda?
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 prescription...
SELECT demographic.age, demographic.diagnosis FROM demographic WHERE demographic.name = "Steven Sepulveda"
Who were the comptrollers of the parties associated with the delegates from district 1 or district 2, and count them by a bar chart, and show in desc by the Y.
CREATE TABLE county ( County_Id int, County_name text, Population real, Zip_code text ) CREATE TABLE party ( Party_ID int, Year real, Party text, Governor text, Lieutenant_Governor text, Comptroller text, Attorney_General text, US_Senate text ) CREATE TABLE election ( ...
SELECT Comptroller, COUNT(Comptroller) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T1.District = 1 OR T1.District = 2 GROUP BY Comptroller ORDER BY COUNT(Comptroller) DESC
how many patients whose age is less than 86 and procedure short title is rt & lt heart angiocard?
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 (...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "86" AND procedures.short_title = "Rt & lt heart angiocard"
get me the dosage and code of drug taken by patient brian taylor.
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 ...
SELECT prescriptions.formulary_drug_cd, prescriptions.drug_dose FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.name = "Brian Taylor"
find out the admission location and time of discharge for patient with patient id 17787.
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 prescription...
SELECT demographic.admission_location, demographic.dischtime FROM demographic WHERE demographic.subject_id = "17787"
what is the number of patients whose drug code is ris1l and lab test fluid is pleural?
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 t...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.formulary_drug_cd = "RIS1L" AND lab.fluid = "Pleural"
provide the number of patients whose primary disease is left internal jugular vein thrombosis;left arm edema?
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, ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "LEFT INTERNAL JUGULAR VEIN THROMBOSIS;LEFT ARM EDEMA"
give the number of patients whose death status is 1 and given the drug name fentanyl patch.
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 te...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.expire_flag = "1" AND prescriptions.drug = "Fentanyl Patch"
count the number of patients whose insurance is private and procedure long title is percutaneous [endoscopic] gastrostomy [peg]?
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 prescription...
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 = "Percutaneous [endoscopic] gastrostomy [PEG]"
How many classes are held in each department?
CREATE TABLE course ( crs_code text, dept_code text, crs_description text, crs_credit number ) CREATE TABLE enroll ( class_code text, stu_num number, enroll_grade text ) CREATE TABLE employee ( emp_num number, emp_lname text, emp_fname text, emp_initial text, emp_jobcod...
SELECT COUNT(*), dept_code FROM class AS T1 JOIN course AS T2 ON T1.crs_code = T2.crs_code GROUP BY dept_code
provide the number of patients whose admission year is less than 2175 and diagnoses short title is chronic liver dis nec?
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...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2175" AND diagnoses.short_title = "Chronic liver dis NEC"
For those employees who was hired before 2002-06-21, find hire_date and the sum of department_id bin hire_date by weekday, and visualize them by a bar chart, could you order from high to low by the y axis please?
CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE TABLE departments ( DEPARTMENT_ID decimal...
SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY SUM(DEPARTMENT_ID) DESC
what is the number of patients whose admission year is less than 2165 and lab test name is reticulocyte count, manual?
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...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2165" AND lab.label = "Reticulocyte Count, Manual"
Let me know the lab test category and primary disease of the patient with patient id 2560.
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 demographic.diagnosis, lab."CATEGORY" FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.subject_id = "2560"
how many patients whose gender is m and admission year is less than 2138?
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, ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.admityear < "2138"
get the number of patients who suffered from pneumonia primary disease and were never hospitalized.
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 t...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "PNEUMONIA" AND demographic.days_stay > "0"
count the number of patients whose discharge location is dead/expired and age is less than 41?
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) C...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "DEAD/EXPIRED" AND demographic.age < "41"
what is drug route of drug name buspirone?
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 (...
SELECT prescriptions.route FROM prescriptions WHERE prescriptions.drug = "BusPIRone"
for patient id 64208, specify the time of admission and icd9 code.
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 te...
SELECT demographic.admittime, diagnoses.short_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "64208"
provide the number of patients whose diagnosis short title is dmi keto nt st uncontrolled and lab test category is blood gas.
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 ...
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 = "DMI keto nt st uncntrld" AND lab."CATEGORY" = "Blood Gas"
tell me the admission type and primary disease of subject id 2560.
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) ...
SELECT demographic.admission_type, demographic.diagnosis FROM demographic WHERE demographic.subject_id = "2560"
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 department_id bin hire_date by time, and could you display y-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 regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE jobs ( JOB_ID varchar(10), JOB_TITLE varchar(35), MIN_SALARY...
SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY AVG(DEPARTMENT_ID) DESC
what is the number of patients whose primary disease is hypertension;rule out coronary artery disease\cardiac cath?
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, ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "HYPERTENSION;RULE OUT CORONARY ARTERY DISEASE\CARDIAC CATH"
Get me the number of white russian patients who were admitted before 2152.
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 (...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "WHITE - RUSSIAN" AND demographic.admityear < "2152"
A bar chart for listing the number of the description of the outcomes for all projects, rank in desc by the Y please.
CREATE TABLE Document_Types ( document_type_code VARCHAR(10), document_description VARCHAR(255) ) CREATE TABLE Staff_Roles ( role_code VARCHAR(10), role_description VARCHAR(255) ) CREATE TABLE Organisations ( organisation_id INTEGER, organisation_type VARCHAR(10), organisation_details VARC...
SELECT outcome_description, COUNT(outcome_description) FROM Research_Outcomes AS T1 JOIN Project_Outcomes AS T2 ON T1.outcome_code = T2.outcome_code GROUP BY outcome_description ORDER BY COUNT(outcome_description) DESC
how many patients are below 77 years of age and use the drug sodium fluoride (dental gel)?
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 t...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "77" AND prescriptions.drug = "Sodium Fluoride (Dental Gel)"
how many male patients are below 24 years of age?
CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE procedures ( ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.age < "24"
what is the number of patients whose age is less than 31 and diagnoses icd9 code is 2809?
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, ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "31" AND diagnoses.icd9_code = "2809"
What are the names of the technicians that are assigned to repair machines with more point values than 70, and count them by a bar chart, and sort in ascending by the x-axis.
CREATE TABLE technician ( technician_id real, Name text, Team text, Starting_Year real, Age int ) CREATE TABLE repair_assignment ( technician_id int, repair_ID int, Machine_ID int ) CREATE TABLE machine ( Machine_ID int, Making_Year int, Class text, Team text, Machi...
SELECT Name, COUNT(Name) FROM repair_assignment AS T1 JOIN machine AS T2 ON T1.Machine_ID = T2.Machine_ID JOIN technician AS T3 ON T1.technician_id = T3.technician_id WHERE T2.value_points > 70 GROUP BY Name ORDER BY Name
Bar chart x axis date moved in y axis how many date moved in, order from high to low by the Y-axis.
CREATE TABLE Organizations ( organization_id INTEGER, parent_organization_id INTEGER, organization_details VARCHAR(255) ) CREATE TABLE Timed_Locations_of_Things ( thing_id INTEGER, Date_and_Time DATETIME, Location_Code CHAR(15) ) CREATE TABLE Properties ( property_id INTEGER, property_...
SELECT date_moved_in, COUNT(date_moved_in) FROM Customer_Events ORDER BY COUNT(date_moved_in) DESC
Return a bar chart on how many events are there for each party?, could you display by the Y-axis in asc?
CREATE TABLE region ( Region_ID int, Region_name text, Date text, Label text, Format text, Catalogue text ) CREATE TABLE party_events ( Event_ID int, Event_Name text, Party_ID int, Member_in_charge_ID int ) CREATE TABLE party ( Party_ID int, Minister text, Took_offi...
SELECT Party_name, COUNT(*) FROM party_events AS T1 JOIN party AS T2 ON T1.Party_ID = T2.Party_ID GROUP BY T1.Party_ID ORDER BY COUNT(*)
Among the patients born before the year 2056, how many of them had the lab test for other body fluid?
CREATE TABLE lab ( subject_id text, hadm_id text, itemid text, charttime text, flag text, value_unit text, label text, fluid text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE prescription...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2056" AND lab.fluid = "Other Body Fluid"
How many married patients have left internal jugular vein thrombosis left arm edema as their primary disease?
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, ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.marital_status = "MARRIED" AND demographic.diagnosis = "LEFT INTERNAL JUGULAR VEIN THROMBOSIS;LEFT ARM EDEMA"
how many patients were admitted before the year 2121 whose lab test category was hematology ?
CREATE TABLE prescriptions ( subject_id text, hadm_id text, icustay_id text, drug_type text, drug text, formulary_drug_cd text, route text, drug_dose text ) CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) ...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2121" AND lab."CATEGORY" = "Hematology"