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how many patients born before 2112 have undergone the procedure with short title percutan liver aspirat?
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.dob_year < "2112" AND procedures.short_title = "Percutan liver aspirat"
List the position of players and the average number of points of players of each position.
CREATE TABLE player ( player_id number, name text, position text, club_id number, apps number, tries number, goals text, points number ) CREATE TABLE competition ( competition_id number, year number, competition_type text, country text ) CREATE TABLE club_rank ( ran...
SELECT position, AVG(points) FROM player GROUP BY position
how many patients less than age 89 years are widowed?
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.marital_status = "WIDOWED" AND demographic.age < "89"
Which patients have a 2137-06-30 06:04:00 lab test chart time?
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 lab ON demographic.hadm_id = lab.hadm_id WHERE lab.charttime = "2137-06-30 06:04:00"
For those employees who did not have any job in the past, visualize a bar chart about the distribution of job_id and the sum of department_id , and group by attribute job_id, order from low to high by the X-axis.
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 departments ( DEP...
SELECT JOB_ID, SUM(DEPARTMENT_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID ORDER BY JOB_ID
what is the number of patients whose admission location is transfer from hosp/extram and primary disease is pneumonia;human immunodefiency virus;rule out tuberculosis?
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 WHERE demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" AND demographic.diagnosis = "PNEUMONIA;HUMAN IMMUNODEFIENCY VIRUS;RULE OUT TUBERCULOSIS"
Show the number of apartment bookings for each year and bin booking start date by year interval in a bar chart, and could you display the number of booking start date from high to low order?
CREATE TABLE Apartments ( apt_id INTEGER, building_id INTEGER, apt_type_code CHAR(15), apt_number CHAR(10), bathroom_count INTEGER, bedroom_count INTEGER, room_count CHAR(5) ) CREATE TABLE View_Unit_Status ( apt_id INTEGER, apt_booking_id INTEGER, status_date DATETIME, avail...
SELECT booking_start_date, COUNT(booking_start_date) FROM Apartment_Bookings AS T1 JOIN Guests AS T2 ON T1.guest_id = T2.guest_id ORDER BY COUNT(booking_start_date) DESC
Return a bar chart on what are the different card types, and how many transactions have been made with each?, sort Y-axis in asc order please.
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(...
SELECT card_type_code, COUNT(*) FROM Financial_Transactions AS T1 JOIN Customers_Cards AS T2 ON T1.card_id = T2.card_id GROUP BY T2.card_type_code ORDER BY COUNT(*)
count the number of patients whose days of hospital stay is greater than 17 and drug name is potassium phosphate?
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 INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "17" AND prescriptions.drug = "Potassium Phosphate"
provide the number of patients admitted before the year 2165 and diagnosed with hepatitis, unspecified.
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 demographic.admityear < "2165" AND diagnoses.long_title = "Hepatitis, unspecified"
provide the number of patients whose gender is f and primary disease is atrial septal defect\mitral valve replacement;repair atrial-septal defect/sda?
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.gender = "F" AND demographic.diagnosis = "ATRIAL SEPTAL DEFECT\MITRAL VALVE REPLACEMENT;REPAIR ATRIAL-SEPTAL DEFECT/SDA"
List the problem id and log id which are assigned to the staff named Rylan Homenick.
CREATE TABLE problem_category_codes ( problem_category_code text, problem_category_description text ) CREATE TABLE problems ( problem_id number, product_id number, closure_authorised_by_staff_id number, reported_by_staff_id number, date_problem_reported time, date_problem_closed time, ...
SELECT DISTINCT T2.problem_id, T2.problem_log_id FROM staff AS T1 JOIN problem_log AS T2 ON T1.staff_id = T2.assigned_to_staff_id WHERE T1.staff_first_name = "Rylan" AND T1.staff_last_name = "Homenick"
what is procedure long title of subject id 84129?
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 procedures.long_title FROM procedures WHERE procedures.subject_id = "84129"
For all employees who have the letters D or S in their first name, give me the comparison about the average of manager_id over the hire_date bin hire_date by weekday by a bar chart, and show by the y axis in ascending.
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), ...
SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY AVG(MANAGER_ID)
tell me the maximum age of patients who are widowed and have medicare insurance.
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...
SELECT MAX(demographic.age) FROM demographic WHERE demographic.marital_status = "WIDOWED" AND demographic.insurance = "Medicare"
For those employees who did not have any job in the past, a bar chart shows the distribution of hire_date and the average of employee_id bin hire_date by weekday, list Y-axis from low to high order please.
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 locations ( LOCATION_ID decimal(4,0), STREET_ADDRESS varchar(40), POSTAL_CODE varchar(12), CITY ...
SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY AVG(EMPLOYEE_ID)
what is the number of patients whose admission type is elective and item id is 51259?
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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND lab.itemid = "51259"
how many of the private patients had a lab test for total cholesterol?
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.insurance = "Private" AND lab.label = "Cholesterol, Total"
For all employees who have the letters D or S in their first name, give me the comparison about the sum of department_id over the hire_date bin hire_date by time by 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 regions ( REGION_ID decimal(5,0), REGION_NAME varchar(25) ) CREATE TABLE departments ( DEPARTME...
SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%'
Specify the discharge time of patient id 87275 along with his total duration of hospital stay
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, ...
SELECT demographic.days_stay, demographic.dischtime FROM demographic WHERE demographic.subject_id = "87275"
what is the name and religion of patient 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 prescriptions ( subject_id text, hadm_id...
SELECT demographic.name, demographic.religion FROM demographic WHERE demographic.subject_id = "2560"
provide the number of patients whose diagnoses is abn react- procedure nos and lab test fluid is cerebrospinal fluid (csf).
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 INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Abn react-procedure NOS" AND lab.fluid = "Cerebrospinal Fluid (CSF)"
Show the number of courses each instructor taught in a bar chart, and order in asc by the how many emp fname please.
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 CL...
SELECT EMP_FNAME, COUNT(EMP_FNAME) FROM CLASS AS T1 JOIN EMPLOYEE AS T2 ON T1.PROF_NUM = T2.EMP_NUM GROUP BY EMP_FNAME ORDER BY COUNT(EMP_FNAME)
How many patients born before 2109 had a urine magnesium 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 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 INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2109" AND lab.label = "Magnesium, Urine"
find the average age of female patients with death status 1.
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 AVG(demographic.age) FROM demographic WHERE demographic.gender = "F" AND demographic.expire_flag = "1"
For all employees who have the letters D or S in their first name, show me about the distribution of hire_date and the sum of department_id bin hire_date by time in a bar chart.
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 HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%'
what is the number of patients whose days of hospital stay is greater than 16 and item id is 50976?
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.days_stay > "16" AND lab.itemid = "50976"
How many patients are with white Russian ethnicity and admission year before 2154?
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.ethnicity = "WHITE - RUSSIAN" AND demographic.admityear < "2154"
give me the number of patients whose admission location is emergency room admit and primary disease is transient ischemic attack?
CREATE TABLE procedures ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE diagnoses ( subject_id text, hadm_id text, icd9_code text, short_title text, long_title text ) CREATE TABLE demographic ( subject_id text, hadm_id t...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "EMERGENCY ROOM ADMIT" AND demographic.diagnosis = "TRANSIENT ISCHEMIC ATTACK"
For all employees who have the letters D or S in their first name, show me the trend about manager_id over hire_date with a line chart, show by the x-axis in descending.
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, MANAGER_ID FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY HIRE_DATE DESC
provide the number of patients whose insurance is private and procedure icd9 code is 8968?
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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Private" AND procedures.icd9_code = "8968"
count the number of patients admitted on an urgent basis who stayed in hospital for more than 5 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 demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob te...
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "URGENT" AND demographic.days_stay > "5"
Who has coauthored with Luke S Zettlemoyer ?
CREATE TABLE author ( authorid int, authorname varchar ) CREATE TABLE paperfield ( fieldid int, paperid int ) CREATE TABLE paper ( paperid int, title varchar, venueid int, year int, numciting int, numcitedby int, journalid int ) CREATE TABLE field ( fieldid int ) CREA...
SELECT DISTINCT AUTHOR_1.authorid FROM author AS AUTHOR_0, author AS AUTHOR_1, writes AS WRITES_0, writes AS WRITES_1 WHERE AUTHOR_0.authorname = 'Luke S Zettlemoyer' AND WRITES_0.authorid = AUTHOR_0.authorid AND WRITES_1.authorid = AUTHOR_1.authorid AND WRITES_1.paperid = WRITES_0.paperid
How many lessons taken by customer with first name as Rylan and last name as Goodwin were completed?
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 vehicles ( vehicle_id number, vehicle_details text ) CREATE TABLE...
SELECT COUNT(*) FROM lessons AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = "Rylan" AND T2.last_name = "Goodwin" AND T1.lesson_status_code = "Completed"
Return a bar chart on how many students are older than 20 in each dorm?, and I want to rank in ascending by the Y.
CREATE TABLE Dorm ( dormid INTEGER, dorm_name VARCHAR(20), student_capacity INTEGER, gender VARCHAR(1) ) CREATE TABLE Has_amenity ( dormid INTEGER, amenid INTEGER ) CREATE TABLE Lives_in ( stuid INTEGER, dormid INTEGER, room_number INTEGER ) CREATE TABLE Student ( StuID INTEGE...
SELECT dorm_name, COUNT(*) FROM Student AS T1 JOIN Lives_in AS T2 ON T1.stuid = T2.stuid JOIN Dorm AS T3 ON T3.dormid = T2.dormid WHERE T1.Age > 20 GROUP BY T3.dorm_name ORDER BY COUNT(*)
provide the number of patients whose discharge location is snf and age is less than 80?
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 WHERE demographic.discharge_location = "SNF" AND demographic.age < "80"
how many patients whose discharge location is rehab/distinct part hosp and procedure long title is other phototherapy?
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.discharge_location = "REHAB/DISTINCT PART HOSP" AND procedures.long_title = "Other phototherapy"
give me the number of patients whose religion is episcopalian and lab test name is phosphate?
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.religion = "EPISCOPALIAN" AND lab.label = "Phosphate"
how many patients whose age is less than 74 and procedure short title is form cutan ileoureterost?
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.age < "74" AND procedures.short_title = "Form cutan ileoureterost"
how many patients less than 56 years have copd exacerbation primary disease?
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.diagnosis = "COPD EXACERBATION" AND demographic.age < "56"
to how many patients was the drug maalox/diphenhydramine/lidocaine administered via po route?
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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.drug = "Maalox/Diphenhydramine/Lidocaine" AND prescriptions.route = "PO"
what is the number of patients with the prescription of ondansetron and have a diagnoses of chronic total occlusion of coronary artery primary disease?
CREATE TABLE demographic ( subject_id text, hadm_id text, name text, marital_status text, age text, dob text, gender text, language text, religion text, admission_type text, days_stay text, insurance text, ethnicity text, expire_flag text, admission_location t...
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 = "Chronic total occlusion of coronary artery" AND prescriptions.drug = "Ondansetron"
Give the name of the lowest earning instructor in the Statistics department.
CREATE TABLE course ( course_id text, title text, dept_name text, credits number ) CREATE TABLE teaches ( id text, course_id text, sec_id text, semester text, year number ) CREATE TABLE student ( id text, name text, dept_name text, tot_cred number ) CREATE TABLE cl...
SELECT name FROM instructor WHERE dept_name = 'Statistics' ORDER BY salary LIMIT 1
what is the average age of patients whose primary disease is copd exacerbation and who were admitted in or after year 2166?
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 AVG(demographic.age) FROM demographic WHERE demographic.diagnosis = "COPD EXACERBATION" AND demographic.admityear >= "2166"
what is the number of patients whose marital status is widowed and lab test name is bicarbonate?
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.marital_status = "WIDOWED" AND lab.label = "Bicarbonate"
is joseph dillman single, married, or widowed?
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 demographic.marital_status FROM demographic WHERE demographic.name = "Joseph Dillman"
give me the number of patients whose admission location is phys referral/normal deli and admission year is less than 2177?
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 WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND demographic.admityear < "2177"
count the number of patients whose admission location is emergency room admit and diagnoses icd9 code is v5416?
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 INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_location = "EMERGENCY ROOM ADMIT" AND diagnoses.icd9_code = "V5416"
provide the number of patients whose gender is f and drug name is phenytoin sodium?
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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.gender = "F" AND prescriptions.drug = "Phenytoin Sodium"
count the number of patients whose age is less than 70 and diagnoses short title is hemochromatos-rbc trans?
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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "70" AND diagnoses.short_title = "Hemochromatos-rbc trans"
how many married patients have lab test item id 51214?
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.marital_status = "MARRIED" AND lab.itemid = "51214"
For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about salary over the phone_number by a bar chart, and order from high to low by the Y.
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 ( EMPLO...
SELECT PHONE_NUMBER, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SALARY DESC
Get me the list of patients who died on or before 2126 that had drug code ggac5l.
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.dod_year <= "2126.0" AND prescriptions.formulary_drug_cd = "GGAC5L"
Find the name and access counts of all documents, in alphabetic order of the document name. Show bar chart.
CREATE TABLE Functional_Areas ( functional_area_code VARCHAR(15), parent_functional_area_code VARCHAR(15), functional_area_description VARCHAR(80) ) CREATE TABLE Roles ( role_code VARCHAR(15), role_description VARCHAR(80) ) CREATE TABLE Document_Structures ( document_structure_code VARCHAR(15)...
SELECT document_name, access_count FROM Documents ORDER BY document_name
What are the names and type codes of products?
CREATE TABLE assets ( asset_id number, other_details text ) CREATE TABLE products_in_events ( product_in_event_id number, event_id number, product_id number ) CREATE TABLE agreements ( document_id number, event_id number ) CREATE TABLE events ( event_id number, address_id number, ...
SELECT product_name, product_type_code FROM products
Find all the ids and dates of the logs for the problem whose id is 10 Plot them as bar chart, I want to list in descending by the log_entry_date.
CREATE TABLE Product ( product_id INTEGER, product_name VARCHAR(80), product_details VARCHAR(255) ) CREATE TABLE Problem_Log ( problem_log_id INTEGER, assigned_to_staff_id INTEGER, problem_id INTEGER, problem_category_code VARCHAR(20), problem_status_code VARCHAR(20), log_entry_date...
SELECT log_entry_date, problem_log_id FROM Problem_Log WHERE problem_id = 10 ORDER BY log_entry_date DESC
Show the total number of rooms of all apartments with facility code 'Gym'.
CREATE TABLE guests ( guest_id number, gender_code text, guest_first_name text, guest_last_name text, date_of_birth time ) CREATE TABLE view_unit_status ( apt_id number, apt_booking_id number, status_date time, available_yn others ) CREATE TABLE apartments ( apt_id number, ...
SELECT SUM(T2.room_count) FROM apartment_facilities AS T1 JOIN apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T1.facility_code = "Gym"
Bin all date of transactions into the weekday interval, and sum the share count of each bin Return the result using a bar chart, list in descending by the y axis please.
CREATE TABLE Purchases ( purchase_transaction_id INTEGER, purchase_details VARCHAR(255) ) CREATE TABLE Sales ( sales_transaction_id INTEGER, sales_details VARCHAR(255) ) CREATE TABLE Ref_Transaction_Types ( transaction_type_code VARCHAR(10), transaction_type_description VARCHAR(80) ) CREATE T...
SELECT date_of_transaction, SUM(share_count) FROM Transactions ORDER BY SUM(share_count) DESC
count the number of patients whose primary disease is s/p hanging and drug type is main?
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 INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.diagnosis = "S/P HANGING" AND prescriptions.drug_type = "MAIN"
What are the names of the members and branches at which they are registered sorted by year of registration?
CREATE TABLE member ( member_id number, card_number text, name text, hometown text, level number ) CREATE TABLE membership_register_branch ( member_id number, branch_id text, register_year text ) CREATE TABLE branch ( branch_id number, name text, open_year text, address...
SELECT T3.name, T2.name FROM membership_register_branch AS T1 JOIN branch AS T2 ON T1.branch_id = T2.branch_id JOIN member AS T3 ON T1.member_id = T3.member_id ORDER BY T1.register_year
For all employees who have the letters D or S in their first name, return a bar chart about the distribution of job_id and the average of department_id , and group by attribute job_id, sort from high to low by the x-axis.
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...
SELECT JOB_ID, AVG(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY JOB_ID DESC
count the number of patients whose year of death is less than or equal to 2133 and item id is 51384?
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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dod_year <= "2133.0" AND lab.itemid = "51384"
count the number of patients whose admission location is transfer from hosp/extram and procedure long title is excision or destruction of other lesion or tissue of heart, endovascular approach?
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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" AND procedures.long_title = "Excision or destruction of other lesion or tissue of heart, endovascular approach"
count the number of patients whose primary disease is ruq pain and year of death is less than or equal to 2164?
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 WHERE demographic.diagnosis = "RUQ PAIN" AND demographic.dod_year <= "2164.0"
find the number of patients with left colon cancer primary disease who had urine test done.
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.diagnosis = "LEFT COLON CANCER" AND lab.fluid = "Urine"
how many black/haitian patients had neb as the drug route?
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 COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "BLACK/HAITIAN" AND prescriptions.route = "NEB"
what is average age of patients whose discharge location is home and primary disease is aortic insufficiency\re-do sternotomy; aortic valve replacement ?
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, ...
SELECT AVG(demographic.age) FROM demographic WHERE demographic.discharge_location = "HOME" AND demographic.diagnosis = "AORTIC INSUFFICIENCY\RE-DO STERNOTOMY; AORTIC VALVE REPLACEMENT "
show the number of patients with procedure icd code 8852 who are younger than 31 years.
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.age < "31" AND procedures.icd9_code = "8852"
Show institution names along with the number of proteins for each institution in a bar chart, and order by the y-axis in desc.
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, ...
SELECT Institution, COUNT(*) FROM Institution AS T1 JOIN protein AS T2 ON T1.Institution_id = T2.Institution_id GROUP BY T1.Institution_id ORDER BY COUNT(*) DESC
For those employees who did not have any job in the past, draw a bar chart about the distribution of hire_date and the average of salary bin hire_date by time, and display Y-axis in descending order.
CREATE TABLE departments ( DEPARTMENT_ID decimal(4,0), DEPARTMENT_NAME varchar(30), MANAGER_ID decimal(6,0), LOCATION_ID decimal(4,0) ) CREATE TABLE job_history ( EMPLOYEE_ID decimal(6,0), START_DATE date, END_DATE date, JOB_ID varchar(10), DEPARTMENT_ID decimal(4,0) ) CREATE TABLE...
SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY AVG(SALARY) DESC
give me the number of patients whose ethnicity is black/cape verdean and primary disease is s/p fall?
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.ethnicity = "BLACK/CAPE VERDEAN" AND demographic.diagnosis = "S/P FALL"
Give me a list of cities whose temperature in Feb is higher than that in Jun or cities that were once host cities?
CREATE TABLE temperature ( city_id number, jan number, feb number, mar number, apr number, jun number, jul number, aug number, sep number, oct number, nov number, dec number ) CREATE TABLE hosting_city ( year number, match_id number, host_city text ) CREATE ...
SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.feb > T2.jun UNION SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id = T4.host_city
count the number of patients whose gender is f and age is less than 64?
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 WHERE demographic.gender = "F" AND demographic.age < "64"
which patients were ordered to get wbc, pleural lab test?
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 INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.label = "WBC, Pleural"
What countries are the female artists who sung in the language Bangla from, and count them by a bar chart, and display Y-axis from high to low order.
CREATE TABLE artist ( artist_name varchar2(50), country varchar2(20), gender varchar2(20), preferred_genre varchar2(50) ) CREATE TABLE files ( f_id number(10), artist_name varchar2(50), file_size varchar2(20), duration varchar2(20), formats varchar2(20) ) CREATE TABLE song ( so...
SELECT T1.country, T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T1.gender = "Female" AND T2.languages = "bangla" GROUP BY T1.country ORDER BY T1.country DESC
Visualize a bar chart for simply displaying the email address of the employee and the corresponding employee id, and could you display by the X-axis in asc?
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 EMAIL, EMPLOYEE_ID FROM employees ORDER BY EMAIL
how many patients whose diagnoses long title is anemia in chronic kidney disease?
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 INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.long_title = "Anemia in chronic kidney disease"
What is the year and semester with the most courses?
CREATE TABLE department ( dept_name text, building text, budget number ) CREATE TABLE student ( id text, name text, dept_name text, tot_cred number ) CREATE TABLE prereq ( course_id text, prereq_id text ) CREATE TABLE takes ( id text, course_id text, sec_id text, s...
SELECT semester, year FROM section GROUP BY semester, year ORDER BY COUNT(*) DESC LIMIT 1
For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about employee_id over the last_name .
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 LAST_NAME, EMPLOYEE_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200)
how many patients stayed at hospital for more than 4 days?
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.days_stay > "4"
give me the number of patients whose admission year is less than 2195 and lab test name is urobilinogen?
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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2195" AND lab.label = "Urobilinogen"
how many male patients are diagnosed with injury to femoral nerve?
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 WHERE demographic.gender = "M" AND diagnoses.long_title = "Injury to femoral nerve"
Show the ids of all employees who don't destroy any document.
CREATE TABLE ref_document_types ( document_type_code text, document_type_name text, document_type_description text ) CREATE TABLE employees ( employee_id number, role_code text, employee_name text, gender_mfu text, date_of_birth time, other_details text ) CREATE TABLE ref_locations...
SELECT employee_id FROM employees EXCEPT SELECT destroyed_by_employee_id FROM documents_to_be_destroyed
Give me line charts of worldwide gross how many date in locaton to over year date in locaton to by major genres Location_Code, display from high to low by the x axis.
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 Roles ( Role_Code CHAR(15), Role_Name VARCHAR(255), Role_Description VARCHAR(255) )...
SELECT Date_in_Locaton_To, COUNT(Date_in_Locaton_To) FROM Document_Locations GROUP BY Location_Code ORDER BY Date_in_Locaton_To DESC
For those employees who did not have any job in the past, what is the relationship between employee_id and commission_pct ?
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 EMPLOYEE_ID, COMMISSION_PCT FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history)
for how long did the patient id 8323 remain admitted in hospital? also specify death status
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 demographic.days_stay, demographic.expire_flag FROM demographic WHERE demographic.subject_id = "8323"
provide the number of patients who have procedure icd9 code 3799 and are on additive type of drug prescription.
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 INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE procedures.icd9_code = "3799" AND prescriptions.drug_type = "ADDITIVE"
Bring the list of patients with hyperglycemia (hyponatremia) as their primary disease who are discharged to snf.
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.discharge_location = "SNF" AND demographic.diagnosis = "HYPERGLYCEMIA;HYPONATREMIA"
Bring the list of patients younger than 41 years of age who had a blood lab test done.
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.age < "41" AND lab.fluid = "Blood"
Display a bar chart for how many credits does the department offer?
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 EMPLOYEE...
SELECT DEPT_CODE, SUM(CRS_CREDIT) FROM COURSE GROUP BY DEPT_CODE
What are the draft pick numbers and draft classes for players who play the Defender position Show bar chart, I want to rank from high to low by the Y-axis.
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_Pick_Number DESC
mention the age and procedure long title of patient with patient id 2560.
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 demographic.age, procedures.long_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.subject_id = "2560"
what is the number of newborn admitted patients who have lab test item id 51274?
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.admission_type = "NEWBORN" AND lab.itemid = "51274"
calculate the maximum days for which patients who died before 2155 stayed in hospital.
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 MAX(demographic.days_stay) FROM demographic WHERE demographic.dod_year < "2155.0"
For those employees who do not work in departments with managers that have ids between 100 and 200, show me about the distribution of email and salary in a bar chart, list in asc 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 countries ( COUNTRY_ID varchar(2), COUNTRY_NAME varchar(40), REGION_ID decimal(10,0) ) CREATE T...
SELECT EMAIL, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY EMAIL
how many of the patients aged below 31 were treated with ns100?
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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "31" AND prescriptions.formulary_drug_cd = "NS100"
what is the number of male patients who have ng route of drug administration?
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 INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.gender = "M" AND prescriptions.route = "NG"
For all employees who have the letters D or S in their first name, show me about the distribution of job_id and the sum of salary , and group by attribute job_id in a bar chart, and I want to order y-axis in descending 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 JOB_ID, SUM(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY SUM(SALARY) DESC
among patients diagnosed with hemochromatosis due to repeated red blood cell transfusions, how many of them were unmarried?
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.marital_status = "SINGLE" AND diagnoses.long_title = "Hemochromatosis due to repeated red blood cell transfusions"
provide the number of patients whose ethnicity is black/haitian and diagnoses icd9 code is v4511?
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.ethnicity = "BLACK/HAITIAN" AND diagnoses.icd9_code = "V4511"