instruction stringlengths 5 766 | input stringlengths 38 5.51k | response stringlengths 4 3.91k |
|---|---|---|
how many patients are admitted before the year 2190 and tested in lab for abnormal status? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2190" AND lab.flag = "abnormal" |
what is drug type and drug code of drug name amaryl? | 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.drug_type, prescriptions.formulary_drug_cd FROM prescriptions WHERE prescriptions.drug = "Amaryl" |
Find out the time of admission and number of days for which the patient with patient id 15061 stayed in the hospital. | 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.days_stay, demographic.admittime FROM demographic WHERE demographic.subject_id = "15061" |
count the number of patients who were admitted via emergency hospital room and diagnosed with pneumonia in aspergillosis. | 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.admission_location = "EMERGENCY ROOM ADMIT" AND diagnoses.long_title = "Pneumonia in aspergillosis" |
calculate the minimum days for which patients suffering from left colon cancer stayed in hospital. | 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 MIN(demographic.days_stay) FROM demographic WHERE demographic.diagnosis = "LEFT COLON CANCER" |
give me the number of patients whose days of hospital stay is greater than 2 and lab test fluid is blood? | 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.days_stay > "2" AND lab.fluid = "Blood" |
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 time, rank in desc by the total number. | CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
... | SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY AVG(EMPLOYEE_ID) DESC |
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, a bar chart shows the distribution of hire_date and the average of employee_id bin hire_date by time, and order Y-axis in asc order. | CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE T... | SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY AVG(EMPLOYEE_ID) |
What are the names and average salaries for departments with average salary higher than 42000? | CREATE TABLE department (
dept_name text,
building text,
budget number
)
CREATE TABLE instructor (
id text,
name text,
dept_name text,
salary number
)
CREATE TABLE prereq (
course_id text,
prereq_id text
)
CREATE TABLE student (
id text,
name text,
dept_name text,
... | SELECT dept_name, AVG(salary) FROM instructor GROUP BY dept_name HAVING AVG(salary) > 42000 |
what is the number of patients whose year of death is less than or equal to 2138 and diagnoses long title is acute on chronic systolic heart failure? | 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.dod_year <= "2138.0" AND diagnoses.long_title = "Acute on chronic systolic heart failure" |
Who is the voice actor (harmony gold ova dub) of the character with a voice actor (adv TV/sentai ova dub) Kim Prause? | CREATE TABLE table_5646 (
"Gatchaman" text,
"Battle of the Planets" text,
"G-Force" text,
"Eagle Riders" text,
"OVA (Harmony Gold Dub)" text,
"Rank" text,
"Bird Uniform" text,
"Weapon" text,
"Mecha" text,
"Japanese voice actor" text,
"Voice actor (BOTP)" text,
"Voice acto... | SELECT "Voice actor (Harmony Gold OVA Dub)" FROM table_5646 WHERE "Voice actor (ADV TV/Sentai OVA dub)" = 'kim prause' |
specify the icd9 code of patient dona cole together with diagnosis long title | 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 diagnoses.icd9_code, diagnoses.long_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Dona Cole" |
tell me the number of patients who have been prescribed potassium chloride (powder) drug. | 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 prescriptions.drug = "Potassium Chloride (Powder)" |
give me the number of patients whose marital status is widowed and lab test name is ck-mb index? | 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.marital_status = "WIDOWED" AND lab.label = "CK-MB Index" |
How many dead patients were less than 41 years of age? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "DEAD/EXPIRED" AND demographic.age < "41" |
what is age of subject id 14755? | 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.age FROM demographic WHERE demographic.subject_id = "14755" |
how many patients whose death status is 0 and procedure long title is suture of laceration of bladder? | 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "0" AND procedures.long_title = "Suture of laceration of bladder" |
how many of the patients with intraoperative cardiac pacemaker had clinical chemistry lab tests? | 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 INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE procedures.long_title = "Intraoperative cardiac pacemaker" AND lab."CATEGORY" = "Chemistry" |
give me the number of patients whose insurance is government and lab test name is hematocrit, other fluid? | 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.insurance = "Government" AND lab.label = "Hematocrit, Other Fluid" |
How many documents are created in each day? Bin the document date by year interval with a line chart, and show by the x axis in descending please. | CREATE TABLE Projects (
Project_ID INTEGER,
Project_Details VARCHAR(255)
)
CREATE TABLE Accounts (
Account_ID INTEGER,
Statement_ID INTEGER,
Account_Details VARCHAR(255)
)
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15),
Document_Type_Name VARCHAR(255),
Document_Type_Desc... | SELECT Document_Date, COUNT(Document_Date) FROM Ref_Document_Types AS T1 JOIN Documents AS T2 ON T1.Document_Type_Code = T2.Document_Type_Code ORDER BY Document_Date DESC |
A bar chart showing the number of start date of the apartment bookings made by female guests (gender code 'Female') for each weekday, and could you show total number in asc 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 Apartment_Buildings (
building_id INTEGER,
building_short_name CHAR(15),
building_full_name... | SELECT booking_start_date, COUNT(booking_start_date) FROM Apartment_Bookings AS T1 JOIN Guests AS T2 ON T1.guest_id = T2.guest_id WHERE T2.gender_code = "Female" ORDER BY COUNT(booking_start_date) |
Visualize a bar chart about the distribution of Nationality and the average of meter_100 , and group by attribute Nationality, and I want to show by the Nationality from high to low. | CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_400 text,
meter_500 text,
meter_600 text,
meter_700 text,
Time text
)
CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Coun... | SELECT Nationality, AVG(meter_100) FROM swimmer GROUP BY Nationality ORDER BY Nationality DESC |
count the number of black/cape verdean patients who were hospitalized for more than 8 days in hospital. | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE 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.ethnicity = "BLACK/CAPE VERDEAN" AND demographic.days_stay > "8" |
Show the number of documents for different document name in a bar chart, rank Document_Name in desc order please. | CREATE TABLE Documents (
Document_ID INTEGER,
Document_Type_Code CHAR(15),
Project_ID INTEGER,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255)
)
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15),
Budget_Type_D... | SELECT Document_Name, COUNT(Document_Name) FROM Documents GROUP BY Document_Name ORDER BY Document_Name DESC |
What are the names of photos taken with the lens brand 'Sigma' or 'Olympus', and count them by a bar chart, sort by the x axis in asc. | CREATE TABLE mountain (
id int,
name text,
Height real,
Prominence real,
Range text,
Country text
)
CREATE TABLE camera_lens (
id int,
brand text,
name text,
focal_length_mm real,
max_aperture real
)
CREATE TABLE photos (
id int,
camera_lens_id int,
mountain_id ... | SELECT T1.name, COUNT(T1.name) FROM camera_lens AS T1 JOIN photos AS T2 ON T2.camera_lens_id = T1.id WHERE T1.brand = 'Sigma' OR T1.brand = 'Olympus' GROUP BY T1.name ORDER BY T1.name |
Give me the trend of how many receipt date by receipt date, and could you show in asc by the receipt_date? | CREATE TABLE Circulation_History (
document_id INTEGER,
draft_number INTEGER,
copy_number INTEGER,
employee_id INTEGER
)
CREATE TABLE Roles (
role_code CHAR(15),
role_description VARCHAR(255)
)
CREATE TABLE Documents_Mailed (
document_id INTEGER,
mailed_to_address_id INTEGER,
maili... | SELECT receipt_date, COUNT(receipt_date) FROM Documents ORDER BY receipt_date |
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, visualize a bar chart about the distribution of hire_date and the sum of department_id bin hire_date by weekday. | CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),... | SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 |
For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about manager_id over the first_name , list MANAGER_ID in desc order. | CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varch... | SELECT FIRST_NAME, MANAGER_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY MANAGER_ID DESC |
For each party, return the name of the party and the number of delegates from that party Plot them as bar chart, and rank in asc by the Y. | 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 county (
County_Id int,
County_name text,
Population real,
Zip_code text
)
CREATE TABLE election (
... | SELECT T2.Party, SUM(COUNT(*)) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID GROUP BY T2.Party ORDER BY SUM(COUNT(*)) |
what is primary disease and procedure short title of subject name claude chipman? | 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.diagnosis, procedures.short_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.name = "Claude Chipman" |
provide the number of patients whose diagnoses short title is human immuno virus dis and lab test abnormal status is abnormal? | 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 lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Human immuno virus dis" AND lab.flag = "abnormal" |
Find the number of students who are not in the largest major and group by students' first name in a bar chart, and order in ascending by the Y-axis. | CREATE TABLE Student (
StuID INTEGER,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
CREATE TABLE Lives_in (
stuid INTEGER,
dormid INTEGER,
room_number INTEGER
)
CREATE TABLE Dorm_amenity (
ameni... | SELECT Fname, COUNT(Fname) FROM Student WHERE Major <> (SELECT Major FROM Student) GROUP BY Fname ORDER BY COUNT(Fname) |
Find the claimed amount in the claim with the least amount settled. Show both the settlement amount and claim amount. | CREATE TABLE customers (
customer_id number,
customer_details text
)
CREATE TABLE settlements (
settlement_id number,
claim_id number,
date_claim_made time,
date_claim_settled time,
amount_claimed number,
amount_settled number,
customer_policy_id number
)
CREATE TABLE payments (
... | SELECT amount_settled, amount_claimed FROM claims ORDER BY amount_settled LIMIT 1 |
count the number of patients whose diagnoses long title is acute upper respiratory infections of unspecified site and lab test fluid is pleural? | 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 = "Acute upper respiratory infections of unspecified site" AND lab.fluid = "Pleural" |
For all employees who have the letters D or S in their first name, draw a line chart about the change of employee_id over hire_date , and sort HIRE_DATE in asc 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 HIRE_DATE, EMPLOYEE_ID FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY HIRE_DATE |
What is the number of patients less than 20 years of age who had a mchc lab test done? | 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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "20" AND lab.label = "MCHC" |
What are the names of catalog entries with level number 8, and count them by a bar chart, and display from high to low by the Y-axis. | CREATE TABLE Catalog_Contents (
catalog_entry_id INTEGER,
catalog_level_number INTEGER,
parent_entry_id INTEGER,
previous_entry_id INTEGER,
next_entry_id INTEGER,
catalog_entry_name VARCHAR(80),
product_stock_number VARCHAR(50),
price_in_dollars DOUBLE,
price_in_euros DOUBLE,
pri... | SELECT catalog_entry_name, COUNT(catalog_entry_name) FROM Catalog_Contents AS t1 JOIN Catalog_Contents_Additional_Attributes AS t2 ON t1.catalog_entry_id = t2.catalog_entry_id WHERE t2.catalog_level_number = "8" GROUP BY catalog_entry_name ORDER BY COUNT(catalog_entry_name) DESC |
find out the number of patients less than 79 years who have been diagnosed with wheelchair dependence. | 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 COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "79" AND diagnoses.short_title = "Wheelchair dependence" |
Return a bar chart on what are the apartment number and the room count of each apartment?, and rank in ascending by the y axis. | CREATE TABLE Apartment_Facilities (
apt_id INTEGER,
facility_code CHAR(15)
)
CREATE TABLE View_Unit_Status (
apt_id INTEGER,
apt_booking_id INTEGER,
status_date DATETIME,
available_yn BIT
)
CREATE TABLE Apartments (
apt_id INTEGER,
building_id INTEGER,
apt_type_code CHAR(15),
a... | SELECT apt_number, room_count FROM Apartments ORDER BY room_count |
provide the number of patients whose drug code is rosi8. | 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.formulary_drug_cd = "ROSI8" |
provide the number of patients whose procedure short title is 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 procedures.short_title = "Percutan liver aspirat" |
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, find job_id and the average of employee_id , and group by attribute job_id, and visualize them by a bar chart, rank by the Y-axis in descending. | CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varc... | SELECT JOB_ID, AVG(EMPLOYEE_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID ORDER BY AVG(EMPLOYEE_ID) DESC |
how many patients whose admission year is less than 2124 and lab test category is blood gas? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
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 INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2124" AND lab."CATEGORY" = "Blood Gas" |
provide the number of patients whose language is russ and diagnoses short title is proteus infection nos? | 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.language = "RUSS" AND diagnoses.short_title = "Proteus infection NOS" |
count the number of patients whose primary disease is morbid obesity/sda and drug name is soln.? | 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.diagnosis = "MORBID OBESITY/SDA" AND prescriptions.drug = "Soln." |
what is the number of patients whose diagnoses long title is twin birth, mate liveborn, born in hospital, delivered by cesarean section and drug type is base? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Twin birth, mate liveborn, born in hospital, delivered by cesarean section" AND prescriptio... |
what is the number of dead patients who were diagnosed with unspecified pseudomonas infection? | 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 COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.expire_flag = "1" AND diagnoses.short_title = "Pseudomonas infect NOS" |
provide the number of patients whose diagnoses long title is hemiplegia, unspecified, affecting dominant side? | 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 diagnoses.long_title = "Hemiplegia, unspecified, affecting dominant side" |
Bin the claim date into the Year interval and count them for visualizing a bar chart, could you list Y-axis in ascending order please? | CREATE TABLE Settlements (
Settlement_ID INTEGER,
Claim_ID INTEGER,
Date_Claim_Made DATE,
Date_Claim_Settled DATE,
Amount_Claimed INTEGER,
Amount_Settled INTEGER,
Customer_Policy_ID INTEGER
)
CREATE TABLE Customer_Policies (
Policy_ID INTEGER,
Customer_ID INTEGER,
Policy_Type_Co... | SELECT Date_Claim_Made, COUNT(Date_Claim_Made) FROM Settlements ORDER BY COUNT(Date_Claim_Made) |
what is diagnoses icd9 code and drug name of subject id 65652? | 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 diagnoses.icd9_code, prescriptions.drug FROM diagnoses INNER JOIN prescriptions ON diagnoses.hadm_id = prescriptions.hadm_id WHERE diagnoses.subject_id = "65652" |
how many patients are with asian ethnicity and under 49 years of age? | 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 COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "ASIAN" AND demographic.age < "49" |
What are all the role codes, role names, and role descriptions? | CREATE TABLE all_documents (
document_id number,
date_stored time,
document_type_code text,
document_name text,
document_description text,
other_details text
)
CREATE TABLE document_locations (
document_id number,
location_code text,
date_in_location_from time,
date_in_locaton_t... | SELECT role_code, role_name, role_description FROM roles |
which patients have order for nonsquamous epithelial cell lab test? | 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 lab ON demographic.hadm_id = lab.hadm_id WHERE lab.label = "NonSquamous Epithelial Cell" |
what is maximum days of hospital stay of patients whose primary disease is sepsis? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
... | SELECT MAX(demographic.days_stay) FROM demographic WHERE demographic.diagnosis = "SEPSIS" |
what number of patients with private insurance had the procedure titled transplant from cadaver? | 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.insurance = "Private" AND procedures.long_title = "Transplant from cadaver" |
For those employees who did not have any job in the past, for employee_id, hire_date, visualize the trend, I want to display in desc by the x-axis. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY ... | SELECT HIRE_DATE, EMPLOYEE_ID FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY HIRE_DATE DESC |
For those employees who did not have any job in the past, find hire_date and the sum of employee_id bin hire_date by time, and visualize them by a bar chart, and rank in asc by the sum employee id please. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varcha... | SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY SUM(EMPLOYEE_ID) |
what is the number of patients under urgent admission type who had combined right and left heart cardiac catheterization? | 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_type = "URGENT" AND procedures.long_title = "Combined right and left heart cardiac catheterization" |
subjects with dementia must have moderate / severe dementia as preferentially defined by a documented moca score of less than 17 , or by mmse score of less than 17, within the last 12 months | CREATE TABLE table_train_144 (
"id" int,
"retinal_dystrophy" bool,
"mini_mental_state_examination_mmse" int,
"memory_box" float,
"body_weight" float,
"neutrophil_count" int,
"moca_score" int,
"severe_dementia" bool,
"dementia" bool,
"macular_degeneration" bool,
"diabetic_reti... | SELECT * FROM table_train_144 WHERE dementia = 1 AND (moderate_dementia = 1 OR severe_dementia = 1) OR (moca_score < 17 OR mini_mental_state_examination_mmse < 17) |
Show the name of each county along with the corresponding number of delegates from that county Plot them as bar chart, display bar from high to low order. | 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 (
Election_ID int,
Counties_Represented text,
District int,
Delegate text,
Party int,
... | SELECT County_name, COUNT(*) FROM county AS T1 JOIN election AS T2 ON T1.County_Id = T2.District GROUP BY T1.County_Id ORDER BY County_name DESC |
provide the number of patients whose ethnicity is unknown/not specified and primary disease is morbid obesity/sda? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "UNKNOWN/NOT SPECIFIED" AND demographic.diagnosis = "MORBID OBESITY/SDA" |
how many patients whose ethnicity is asian and procedure short title is open reduc-int fix femur? | 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.ethnicity = "ASIAN" AND procedures.short_title = "Open reduc-int fix femur" |
Name the total number of states for july 1 2010 density is 1209 | CREATE TABLE table_21836 (
"Rank" real,
"County" text,
"State" text,
"Land area (km\u00b2)" text,
"Land area (mi\u00b2)" text,
"April 1, 2010 census" real,
"April 1, 2010 density (/km\u00b2)" real,
"April 1, 2010 density (/mi\u00b2)" real,
"July 1, 2010 official estimate" real,
"... | SELECT COUNT("State") FROM table_21836 WHERE "July 1, 2010 density (/mi\u00b2)" = '1209' |
Show the location codes and the number of documents in each location in a bar chart, order the total number in descending order. | CREATE TABLE Employees (
Employee_ID INTEGER,
Role_Code CHAR(15),
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1),
Date_of_Birth DATETIME,
Other_Details VARCHAR(255)
)
CREATE TABLE Roles (
Role_Code CHAR(15),
Role_Name VARCHAR(255),
Role_Description VARCHAR(255)
)
CREATE TABLE All_D... | SELECT Location_Code, COUNT(*) FROM Document_Locations GROUP BY Location_Code ORDER BY COUNT(*) DESC |
what is gender and religion of subject id 71798? | 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 demographic.gender, demographic.religion FROM demographic WHERE demographic.subject_id = "71798" |
how many patients admitted before the year 2124 had the lab test category blood gas? | 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 demographic.admityear < "2124" AND lab."CATEGORY" = "Blood Gas" |
For those employees who did not have any job in the past, show me about the distribution of hire_date and the average of employee_id bin hire_date by time in a bar chart. | CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
... | SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) |
For those employees who did not have any job in the past, for department_id, hire_date, visualize the trend. | CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0... | SELECT HIRE_DATE, DEPARTMENT_ID FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) |
How many faculty members participate in each activity? Return the activity names and the number of faculty members Show bar chart, list in ascending by the x-axis. | CREATE TABLE Faculty (
FacID INTEGER,
Lname VARCHAR(15),
Fname VARCHAR(15),
Rank VARCHAR(15),
Sex VARCHAR(1),
Phone INTEGER,
Room VARCHAR(5),
Building VARCHAR(13)
)
CREATE TABLE Faculty_Participates_in (
FacID INTEGER,
actid INTEGER
)
CREATE TABLE Activity (
actid INTEGER,
... | SELECT activity_name, COUNT(*) FROM Activity AS T1 JOIN Faculty_Participates_in AS T2 ON T1.actid = T2.actid GROUP BY T1.actid ORDER BY activity_name |
how many asian ethnic background patients were born before the year 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 = "ASIAN" AND demographic.dob_year < "2152" |
How many of the patients admitted before the year 2198 were treated with valganciclovir? | 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admityear < "2198" AND prescriptions.drug = "ValGANCIclovir" |
give me the number of patients whose procedure icd9 code is 12? | 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 procedures.icd9_code = "12" |
get me the name of the drug and the drug code that patient with patient id 11221 is taking. | 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 prescriptions.drug, prescriptions.formulary_drug_cd FROM prescriptions WHERE prescriptions.subject_id = "11221" |
count the number of patients whose age is less than 30 and lab test abnormal status is delta? | 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 < "30" AND lab.flag = "delta" |
how many papers use ImageNet ? | CREATE TABLE field (
fieldid int
)
CREATE TABLE writes (
paperid int,
authorid int
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE dataset ... | SELECT DISTINCT COUNT(DISTINCT paper.paperid) FROM dataset, paper, paperdataset WHERE dataset.datasetname LIKE 'ImageNet' AND paperdataset.datasetid = dataset.datasetid AND paper.paperid = paperdataset.paperid |
count the number of patients whose primary disease is pneumonia and procedure short title is circumcision? | 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.diagnosis = "PNEUMONIA" AND procedures.short_title = "Circumcision" |
how many patients stayed in hospital for more than 17 days and underwent right and left cardiac catheterization? | 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "17" AND procedures.long_title = "Combined right and left heart cardiac catheterization" |
find the number of patients admitted in emergency who had lab test named sodium, 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.admission_type = "EMERGENCY" AND lab.label = "Sodium, Urine" |
what is item id of subject 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 lab.itemid FROM lab WHERE lab.subject_id = "2560" |
what is average age of female patients whose age is equal or more than 86 years? | 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.gender = "F" AND demographic.age >= "86" |
give me the number of patients whose age is less than 89 and admission year is less than 2195? | 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.age < "89" AND demographic.admityear < "2195" |
what is days of hospital stay and procedure long title of subject id 29541? | 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.days_stay, procedures.long_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.subject_id = "29541" |
how many patients whose lab test name is ethanol? | 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 lab.label = "Ethanol" |
give the number of patients whose diagnosis long title is other and unspecified coagulation defects. | 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 WHERE diagnoses.long_title = "Other and unspecified coagulation defects" |
what is the number of patients whose days of hospital stay is greater than 1 and diagnoses long title is end stage renal disease? | 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 COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "1" AND diagnoses.long_title = "End stage renal disease" |
what is minimum age of patients whose language is russ and primary disease is st elevated myocardial infarction\cardiac cath? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
... | SELECT MIN(demographic.age) FROM demographic WHERE demographic.language = "RUSS" AND demographic.diagnosis = "ST ELEVATED MYOCARDIAL INFARCTION\CARDIAC CATH" |
What are the names of the different bank branches, and what are their total loan amounts Show bar chart, and I want to sort by the Y-axis from low to high. | CREATE TABLE customer (
cust_ID varchar(3),
cust_name varchar(20),
acc_type char(1),
acc_bal int,
no_of_loans int,
credit_score int,
branch_ID int,
state varchar(20)
)
CREATE TABLE bank (
branch_ID int,
bname varchar(20),
no_of_customers int,
city varchar(10),
state ... | SELECT bname, SUM(amount) FROM bank AS T1 JOIN loan AS T2 ON T1.branch_ID = T2.branch_ID GROUP BY T1.bname ORDER BY SUM(amount) |
count the number of patients whose admission location is transfer from hosp/extram and procedure long title is closed (needle) biopsy of tongue. | 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 INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" AND procedures.long_title = "Closed [needle] biopsy of tongue" |
Show the locations of schools that have more than 1 player. | CREATE TABLE school_details (
school_id number,
nickname text,
colors text,
league text,
class text,
division text
)
CREATE TABLE player (
player_id number,
player text,
team text,
age number,
position text,
school_id number
)
CREATE TABLE school (
school_id number,... | SELECT T2.location FROM player AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id GROUP BY T1.school_id HAVING COUNT(*) > 1 |
For those employees who did not have any job in the past, show me about the distribution of job_id and the sum of department_id , and group by attribute job_id 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 JOB_ID, SUM(DEPARTMENT_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID |
what is the number of patients whose diagnoses long title is osteoarthrosis, unspecified whether generalized or localized, site 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 diagnoses.long_title = "Osteoarthrosis, unspecified whether generalized or localized, site unspecified" |
Show each employee's salary using a bar chart, note that use the last name of each employee, and sort by the X-axis in ascending. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0... | SELECT LAST_NAME, SALARY FROM employees ORDER BY LAST_NAME |
Find the insurance of subject id 3284. | 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.insurance FROM demographic WHERE demographic.subject_id = "3284" |
what is the average days of hospital stay of patients whose primary disease is aortic insufficiency\re-do sternotomy; aortic valve replacement? | 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 AVG(demographic.days_stay) FROM demographic WHERE demographic.diagnosis = "AORTIC INSUFFICIENCY\RE-DO STERNOTOMY; AORTIC VALVE REPLACEMENT " |
Find the number of rooms with more than 50 capacity for each building Show bar chart, display y axis in asc order. | CREATE TABLE teaches (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0)
)
CREATE TABLE prereq (
course_id varchar(8),
prereq_id varchar(8)
)
CREATE TABLE advisor (
s_ID varchar(5),
i_ID varchar(5)
)
CREATE TABLE takes (
ID varchar(... | SELECT building, COUNT(*) FROM classroom WHERE capacity > 50 GROUP BY building ORDER BY COUNT(*) |
Show the number of type of thing code from each type of thing code, and I want to rank Y-axis in asc order please. | CREATE TABLE Residents (
resident_id INTEGER,
property_id INTEGER,
date_moved_in DATETIME,
date_moved_out DATETIME,
other_details VARCHAR(255)
)
CREATE TABLE Customer_Events (
Customer_Event_ID INTEGER,
customer_id INTEGER,
date_moved_in DATETIME,
property_id INTEGER,
resident_i... | SELECT Type_of_Thing_Code, COUNT(Type_of_Thing_Code) FROM Things GROUP BY Type_of_Thing_Code ORDER BY COUNT(Type_of_Thing_Code) |
For all employees who have the letters D or S in their first name, visualize a bar chart about the distribution of hire_date and the sum of department_id bin hire_date by time. | CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(... | SELECT HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' |
give me the number of patients whose drug code is atro1i? | 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 prescriptions.formulary_drug_cd = "ATRO1I" |
count the number of patients less than 58 years who have drug code maal30l. | 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "58" AND prescriptions.formulary_drug_cd = "MAAL30L" |
what is the total number of last names of all candidates?, and could you sort by the names in descending? | CREATE TABLE Courses (
course_id VARCHAR(100),
course_name VARCHAR(120),
course_description VARCHAR(255),
other_details VARCHAR(255)
)
CREATE TABLE Student_Course_Attendance (
student_id INTEGER,
course_id INTEGER,
date_of_attendance DATETIME
)
CREATE TABLE Candidate_Assessments (
cand... | SELECT last_name, COUNT(last_name) FROM People GROUP BY last_name ORDER BY last_name DESC |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.