instruction stringlengths 11 446 | input stringlengths 195 2.3k | response stringlengths 26 460 |
|---|---|---|
how many patients below 50 years of age have procedure icd9 code 4131? | 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "50" AND procedures.icd9_code = "4131" |
List the name of all products along with the number of complaints that they have received, sort by the the total number from low to high please. | CREATE TABLE Complaints (
complaint_id INTEGER,
product_id INTEGER,
customer_id INTEGER,
complaint_outcome_code VARCHAR(20),
complaint_status_code VARCHAR(20),
complaint_type_code VARCHAR(20),
date_complaint_raised DATETIME,
date_complaint_closed DATETIME,
staff_id INTEGER
)
CREATE ... | SELECT product_name, COUNT(*) FROM Products AS t1 JOIN Complaints AS t2 ON t1.product_id = t2.product_id GROUP BY t1.product_name ORDER BY COUNT(*) |
What are the number of the dates of the latest logon of the students with family name 'Jaskolski' or 'Langosh'?, and show in descending by the Y. | CREATE TABLE Student_Tests_Taken (
registration_id INTEGER,
date_test_taken DATETIME,
test_result VARCHAR(255)
)
CREATE TABLE Courses (
course_id INTEGER,
author_id INTEGER,
subject_id INTEGER,
course_name VARCHAR(120),
course_description VARCHAR(255)
)
CREATE TABLE Student_Course_Enro... | SELECT date_of_latest_logon, COUNT(date_of_latest_logon) FROM Students WHERE family_name = "Jaskolski" OR family_name = "Langosh" ORDER BY COUNT(date_of_latest_logon) DESC |
Find the names of stadiums that some Australian swimmers have been to, and count them by a bar chart, and order from high to low by the bar. | CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
CREATE TABLE record (
ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_40... | SELECT T4.Name, COUNT(T4.Name) FROM swimmer AS t1 JOIN record AS t2 ON t1.ID = t2.Swimmer_ID JOIN event AS t3 ON t2.Event_ID = t3.ID JOIN stadium AS t4 ON t4.ID = t3.Stadium_ID WHERE t1.Nationality = 'Australia' GROUP BY T4.Name ORDER BY T4.Name DESC |
what is the number of patients whose diagnoses long title is incisional ventral hernia with obstruction? | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.long_title = "Incisional ventral hernia with obstruction" |
What is the proportion of each customer's move in date? Show me the bar chart. | CREATE TABLE Timed_Status_of_Things (
thing_id INTEGER,
Date_and_Date DATETIME,
Status_of_Thing_Code CHAR(15)
)
CREATE TABLE Services (
service_id INTEGER,
organization_id INTEGER,
service_type_code CHAR(15),
service_details VARCHAR(255)
)
CREATE TABLE Customers (
customer_id INTEGER,
... | SELECT date_moved_in, COUNT(date_moved_in) FROM Customers AS T1 JOIN Customer_Events AS T2 ON T1.customer_id = T2.customer_id GROUP BY date_moved_in |
For those employees who was hired before 2002-06-21, for manager_id, hire_date, visualize the trend. | 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, MANAGER_ID FROM employees WHERE HIRE_DATE < '2002-06-21' |
how many patients with lab test item id 51213 have their lab test abnormal as delta? | 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 lab.itemid = "51213" AND lab.flag = "delta" |
What is the host year of city 'Taizhou ( Zhejiang )'? | 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 city (
city_id number,
city text,
hanzi text,
hanyu_pinyin text,
... | SELECT T2.year FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city WHERE T1.city = "Taizhou ( Zhejiang )" |
Please show the names of aircrafts associated with airport with name 'London Gatwick'. | CREATE TABLE aircraft (
aircraft_id number,
aircraft text,
description text,
max_gross_weight text,
total_disk_area text,
max_disk_loading text
)
CREATE TABLE match (
round number,
location text,
country text,
date text,
fastest_qualifying text,
winning_pilot text,
w... | SELECT T1.aircraft FROM aircraft AS T1 JOIN airport_aircraft AS T2 ON T1.aircraft_id = T2.aircraft_id JOIN airport AS T3 ON T2.airport_id = T3.airport_id WHERE T3.airport_name = "London Gatwick" |
how many patients born before 2066 undertook procedure icd9 code 9983? | 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.dob_year < "2066" AND procedures.icd9_code = "9983" |
How many bookings did each customer make? List the first name as the X-axis, and the count as the Y-axis in the bar chart. | CREATE TABLE Products_for_Hire (
product_id INTEGER,
product_type_code VARCHAR(15),
daily_hire_cost DECIMAL(19,4),
product_name VARCHAR(80),
product_description VARCHAR(255)
)
CREATE TABLE Bookings (
booking_id INTEGER,
customer_id INTEGER,
booking_status_code VARCHAR(10),
returned_... | SELECT first_name, COUNT(*) FROM Customers AS T1 JOIN Bookings AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id |
Show me a bar chart with the product name and their frequency. | CREATE TABLE Addresses (
address_id INTEGER,
line_1_number_building VARCHAR(80),
city VARCHAR(50),
zip_postcode VARCHAR(20),
state_province_county VARCHAR(50),
country VARCHAR(50)
)
CREATE TABLE Products (
product_id INTEGER,
product_type_code VARCHAR(15),
product_name VARCHAR(80),
... | SELECT product_name, COUNT(product_name) FROM Products GROUP BY product_name |
how many patients whose discharge location is home and days of hospital stay is greater than 14? | 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.discharge_location = "HOME" AND demographic.days_stay > "14" |
count the number of patients whose age is less than 24 and procedure long title is endoscopic removal of stone(s) from biliary tract? | 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "24" AND procedures.long_title = "Endoscopic removal of stone(s) from biliary tract" |
Find all Hotels in Dallas with at least 50 reviews | CREATE TABLE user (
uid int,
user_id varchar,
name varchar
)
CREATE TABLE review (
rid int,
business_id varchar,
user_id varchar,
rating float,
text longtext,
year int,
month varchar
)
CREATE TABLE business (
bid int,
business_id varchar,
name varchar,
full_addr... | SELECT business.name FROM business, category WHERE business.city = 'Dallas' AND business.review_count >= 50 AND category.business_id = business.business_id AND category.category_name = 'Hotels' |
what is the number of patients whose admission year is less than 2108 and procedure long title is continuous invasive mechanical ventilation for less than 96 consecutive hours? | 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2108" AND procedures.long_title = "Continuous invasive mechanical ventilation for less than 96 consecutive hours" |
Give me location of admission and primary disease status of the patient with patient id 2560. | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE 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.admission_location, demographic.diagnosis FROM demographic WHERE demographic.subject_id = "2560" |
For those employees who do not work in departments with managers that have ids between 100 and 200, return a bar chart about the distribution of hire_date and the average of department_id bin hire_date by weekday, list in asc by the y axis. | CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40)... | SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY AVG(DEPARTMENT_ID) |
how many white-russian patients were given the drug metoprolol? | 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.ethnicity = "WHITE - RUSSIAN" AND prescriptions.drug = "Metoprolol" |
Find the total credits of courses provided by different department. Plot them as bar chart. | CREATE TABLE instructor (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
salary numeric(8,2)
)
CREATE TABLE section (
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
building varchar(15),
room_number varchar(7),
time_slot_id varchar(... | SELECT dept_name, SUM(credits) FROM course GROUP BY dept_name |
give me the number of patients whose primary disease is atrial fibrillation\thoracoscopic maze procedure bilateral/sda and admission year is less than 2190? | 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 WHERE demographic.diagnosis = "ATRIAL FIBRILLATION\THORACOSCOPIC MAZE PROCEDURE BILATERAL/SDA" AND demographic.admityear < "2190" |
A bar chart about how many different professors are there for the different schools?, and list y axis from high to low order. | CREATE TABLE COURSE (
CRS_CODE varchar(10),
DEPT_CODE varchar(10),
CRS_DESCRIPTION varchar(35),
CRS_CREDIT float(8)
)
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),
... | SELECT SCHOOL_CODE, COUNT(*) FROM DEPARTMENT AS T1 JOIN PROFESSOR AS T2 ON T1.DEPT_CODE = T2.DEPT_CODE GROUP BY T1.SCHOOL_CODE ORDER BY COUNT(*) DESC |
Please use a bar chart to show the total amount of payment by each payment method code, rank total number in ascending order. | CREATE TABLE Payments (
Payment_ID INTEGER,
Settlement_ID INTEGER,
Payment_Method_Code VARCHAR(255),
Date_Payment_Made DATE,
Amount_Payment INTEGER
)
CREATE TABLE Customers (
Customer_ID INTEGER,
Customer_Details VARCHAR(255)
)
CREATE TABLE Settlements (
Settlement_ID INTEGER,
Clai... | SELECT Payment_Method_Code, SUM(Amount_Payment) FROM Payments GROUP BY Payment_Method_Code ORDER BY SUM(Amount_Payment) |
A line chart for giveing me the number of the dates when the max temperature was higher than 85, I want to rank by the X in asc. | CREATE TABLE station (
id INTEGER,
name TEXT,
lat NUMERIC,
long NUMERIC,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE weather (
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
... | SELECT date, COUNT(date) FROM weather WHERE max_temperature_f > 85 GROUP BY date ORDER BY date |
provide the number of patients whose lab test category is hematology? | 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 lab."CATEGORY" = "Hematology" |
Return a bar chart about the distribution of personal_name and author_id . | CREATE TABLE Students (
student_id INTEGER,
date_of_registration DATETIME,
date_of_latest_logon DATETIME,
login_name VARCHAR(40),
password VARCHAR(10),
personal_name VARCHAR(40),
middle_name VARCHAR(40),
family_name VARCHAR(40)
)
CREATE TABLE Courses (
course_id INTEGER,
author_... | SELECT personal_name, author_id FROM Course_Authors_and_Tutors ORDER BY personal_name |
What is the number of each course name that have at least five enrollments? Show me a bar chart. | 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 Department (
DNO INTEGER,
Division VARCHAR(2),
DName VARCHAR(25),
Room VARCHAR(5),
Buildi... | SELECT T1.CName, COUNT(T1.CName) FROM Course AS T1 JOIN Enrolled_in AS T2 ON T1.CID = T2.CID GROUP BY T1.CName, T2.CID HAVING COUNT(*) >= 5 |
tell me the diagnoses icd9 code days for which patient troy friedman was hospitalized. | 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, diagnoses.icd9_code FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Troy Friedman" |
what is average days of hospital stay of patients whose marital status is divorced? | 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 AVG(demographic.days_stay) FROM demographic WHERE demographic.marital_status = "DIVORCED" |
count the number of patients whose insurance is private and admission location is clinic referral/premature. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.insurance = "Private" AND demographic.admission_location = "CLINIC REFERRAL/PREMATURE" |
what is the number of patients whose death status is 1 and primary disease is chest pain? | 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.expire_flag = "1" AND demographic.diagnosis = "CHEST PAIN" |
how many of the patients treated with theophylline sr were aged below 67? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "67" AND prescriptions.drug = "Theophylline SR" |
what is average age of patients whose marital status is single and ethnicity is asian? | 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 AVG(demographic.age) FROM demographic WHERE demographic.marital_status = "SINGLE" AND demographic.ethnicity = "ASIAN" |
What did Luke S Zettlemoyer published in 2009 ? | CREATE TABLE field (
fieldid int
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid ... | SELECT DISTINCT paper.paperid FROM author, paper, writes WHERE author.authorname = 'Luke S Zettlemoyer' AND paper.year = 2009 AND writes.authorid = author.authorid AND writes.paperid = paper.paperid |
calculate the number of patients with item id 50983 who were provided phys referral/normal deli. | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic ... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND lab.itemid = "50983" |
give me the number of patients whose ethnicity is asian and diagnoses icd9 code is 30501? | 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.ethnicity = "ASIAN" AND diagnoses.icd9_code = "30501" |
Show the country names and the corresponding number of players Show bar chart, could you order in desc by the x axis? | CREATE TABLE country (
Country_id int,
Country_name text,
Capital text,
Official_native_language text
)
CREATE TABLE team (
Team_id int,
Name text
)
CREATE TABLE player (
Player_ID int,
Player text,
Years_Played text,
Total_WL text,
Singles_WL text,
Doubles_WL text,
... | SELECT Country_name, COUNT(*) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country GROUP BY T1.Country_name ORDER BY Country_name DESC |
Find the last name and gender of the students who are playing both Call of Destiny and Works of Widenius games. | CREATE TABLE plays_games (
stuid number,
gameid number,
hours_played number
)
CREATE TABLE student (
stuid number,
lname text,
fname text,
age number,
sex text,
major number,
advisor number,
city_code text
)
CREATE TABLE video_games (
gameid number,
gname text,
... | SELECT lname, sex FROM student WHERE stuid IN (SELECT T1.stuid FROM plays_games AS T1 JOIN video_games AS T2 ON T1.gameid = T2.gameid WHERE T2.gname = "Call of Destiny" INTERSECT SELECT T1.stuid FROM plays_games AS T1 JOIN video_games AS T2 ON T1.gameid = T2.gameid WHERE T2.gname = "Works of Widenius") |
provide the number of patients whose age is less than 49 and lab test abnormal status is abnormal? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescription... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "49" AND lab.flag = "abnormal" |
what is the number of patients whose year of birth is less than 2065 and diagnoses short title is malig neo ascend colon? | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.dob_year < "2065" AND diagnoses.short_title = "Malig neo ascend colon" |
How many professors have a Ph.D. in each department? | CREATE TABLE course (
crs_code text,
dept_code text,
crs_description text,
crs_credit number
)
CREATE TABLE enroll (
class_code text,
stu_num number,
enroll_grade text
)
CREATE TABLE department (
dept_code text,
dept_name text,
school_code text,
emp_num number,
dept_add... | SELECT COUNT(*), dept_code FROM professor WHERE prof_high_degree = 'Ph.D.' GROUP BY dept_code |
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 line chart about the change of manager_id over hire_date , list from low to high by the X. | 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, MANAGER_ID FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY HIRE_DATE |
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 sum of employee_id , and group by attribute job_id, and sort y axis in ascending order. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE T... | SELECT JOB_ID, SUM(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY SUM(EMPLOYEE_ID) |
provide the number of patients whose admission year is less than 2120 and drug route is oral? | 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.admityear < "2120" AND prescriptions.route = "ORAL" |
count the number of patients whose ethnicity is asian and admission year is less than 2112? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "ASIAN" AND demographic.admityear < "2112" |
the presence of cardiogenic shock defined as sustained systolic blood pressure less than 90 mm hg, with no response to fluids or systolic blood pressure less than 100 mm hg with vasopressors ( in absence of bradycardia ) | CREATE TABLE table_test_28 (
"id" int,
"positive_shock_index" bool,
"anemia" bool,
"serum_potassium" float,
"left_ventricular_ejection_fraction_lvef" int,
"systolic_blood_pressure_sbp" int,
"malignant_hypertension" bool,
"severe_hypertension" bool,
"hemoglobin_a1c_hba1c" float,
"... | SELECT * FROM table_test_28 WHERE cardiogenic_shock = 1 OR systolic_blood_pressure_sbp < 90 OR systolic_blood_pressure_sbp < 100 |
How many patients were admitted with transfer from hosp/extram and diagnosed with the primary disease hyperglcemia hyponatremia? | 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 = "TRANSFER FROM HOSP/EXTRAM" AND demographic.diagnosis = "HYPERGLYCEMIA;HYPONATREMIA" |
what is the number of patients whose age is less than 54 and diagnoses icd9 code is 7470? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "54" AND diagnoses.icd9_code = "7470" |
For those employees who do not work in departments with managers that have ids between 100 and 200, visualize a bar chart about the distribution of job_id and manager_id , and could you list in asc by the MANAGER_ID? | CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE 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, 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 |
Find the number of courses that have more than one prerequisites for each title with a bar chart, show x axis from high to low order. | CREATE TABLE student (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
tot_cred numeric(3,0)
)
CREATE TABLE department (
dept_name varchar(20),
building varchar(15),
budget numeric(12,2)
)
CREATE TABLE takes (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
... | SELECT title, COUNT(title) FROM course AS T1 JOIN prereq AS T2 ON T1.course_id = T2.course_id GROUP BY title ORDER BY title DESC |
provide the number of patients whose admission type is emergency and lab test name is troponin i? | 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.admission_type = "EMERGENCY" AND lab.label = "Troponin I" |
How many customers did not have any event? | CREATE TABLE residents (
resident_id number,
property_id number,
date_moved_in time,
date_moved_out time,
other_details text
)
CREATE TABLE timed_status_of_things (
thing_id number,
date_and_date time,
status_of_thing_code text
)
CREATE TABLE residents_services (
resident_id number... | SELECT COUNT(*) FROM customers WHERE NOT customer_id IN (SELECT customer_id FROM customer_events) |
For those employees who was hired before 2002-06-21, visualize a bar chart about the distribution of hire_date and the average of salary bin hire_date by weekday, rank in ascending by the Y. | CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE countries (
COUNTRY_ID... | SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY AVG(SALARY) |
What are the ids of documents with letter 's' in the name with any expense budgets. | CREATE TABLE ref_budget_codes (
budget_type_code text,
budget_type_description text
)
CREATE TABLE documents (
document_id number,
document_type_code text,
project_id number,
document_date time,
document_name text,
document_description text,
other_details text
)
CREATE TABLE accoun... | SELECT T1.document_id FROM documents AS T1 JOIN documents_with_expenses AS T2 ON T1.document_id = T2.document_id WHERE T1.document_name LIKE '%s%' |
how many patients who had an urgent admission type were prescribed the drug with drug code clot10? | 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.admission_type = "URGENT" AND prescriptions.formulary_drug_cd = "CLOT10" |
What is every code name for the model Radeon HD 6650m? | CREATE TABLE table_73710 (
"Model" text,
"Launch" text,
"Model Number" text,
"Code name" text,
"Fab ( nm )" text,
"Bus interface" text,
"Memory ( MiB )" text,
"Core clock ( MHz )" text,
"Memory clock ( MHz )" text,
"Config core 1" text,
"Pixel ( GP /s)" text,
"Texture ( G... | SELECT "Code name" FROM table_73710 WHERE "Model" = 'Radeon HD 6650M' |
For those employees who was hired before 2002-06-21, show me the trend about employee_id over hire_date with a line 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 countries (
COUNTRY_ID... | SELECT HIRE_DATE, EMPLOYEE_ID FROM employees WHERE HIRE_DATE < '2002-06-21' |
Plot date to by the number of date to as a trend line, and sort by the x-axis from high to low. | CREATE TABLE Documents (
document_id INTEGER,
document_type_code VARCHAR(10),
grant_id INTEGER,
sent_date DATETIME,
response_received_date DATETIME,
other_details VARCHAR(255)
)
CREATE TABLE Organisation_Types (
organisation_type VARCHAR(10),
organisation_type_description VARCHAR(255)
)... | SELECT date_to, COUNT(date_to) FROM Project_Staff ORDER BY date_to DESC |
Show the most common apartment type code. | CREATE TABLE apartment_bookings (
apt_booking_id number,
apt_id number,
guest_id number,
booking_status_code text,
booking_start_date time,
booking_end_date time
)
CREATE TABLE guests (
guest_id number,
gender_code text,
guest_first_name text,
guest_last_name text,
date_of_b... | SELECT apt_type_code FROM apartments GROUP BY apt_type_code ORDER BY COUNT(*) DESC LIMIT 1 |
List the state names and the number of customers living in each state. | CREATE TABLE Order_Deliveries (
location_code VARCHAR(10),
actual_order_id INTEGER,
delivery_status_code VARCHAR(10),
driver_employee_id INTEGER,
truck_id INTEGER,
delivery_date DATETIME
)
CREATE TABLE Regular_Order_Products (
regular_order_id INTEGER,
product_id INTEGER
)
CREATE TABLE... | SELECT state_province_county, COUNT(*) FROM Customer_Addresses AS t1 JOIN Addresses AS t2 ON t1.address_id = t2.address_id GROUP BY t2.state_province_county |
what is the number of patients whose lab test fluid is urine? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.fluid = "Urine" |
how many patients diagnosed with b-complex defic nec had their urine sample tested by lab? | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "B-complex defic NEC" AND lab.fluid = "Urine" |
find the total checkins in Moroccan restaurant in ' Los Angeles ' per day | CREATE TABLE checkin (
cid int,
business_id varchar,
count int,
day varchar
)
CREATE TABLE neighborhood (
id int,
business_id varchar,
neighborhood_name varchar
)
CREATE TABLE user (
uid int,
user_id varchar,
name varchar
)
CREATE TABLE category (
id int,
business_id v... | SELECT checkin.day, SUM(checkin.count) FROM business, category AS CATEGORY_0, category AS CATEGORY_1, checkin WHERE business.city = 'Los Angeles' AND CATEGORY_0.business_id = business.business_id AND CATEGORY_0.category_name = 'Moroccan' AND CATEGORY_1.business_id = business.business_id AND CATEGORY_1.category_name = '... |
how many of the female patients had sdh as the primary disease? | 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 = "SDH" |
Show the number of male and female assistant professors with a bar chart, list y axis in ascending order. | 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 Student (
StuID INTEGER,
... | SELECT Sex, COUNT(*) FROM Faculty WHERE Rank = "AsstProf" GROUP BY Sex ORDER BY COUNT(*) |
give me the number of patients whose diagnoses icd9 code is 42842? | 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.icd9_code = "42842" |
how many patients whose diagnoses long title is primary pulmonary hypertension and drug route is ng? | 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 INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Primary pulmonary hypertension" AND prescriptions.route = "NG" |
what is the number of patients whose primary disease is abdominal pain and days of hospital stay is greater than 3? | 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.diagnosis = "ABDOMINAL PAIN" AND demographic.days_stay > "3" |
how many patients whose procedure icd9 code is 3897 and drug route is buccal? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE procedures.icd9_code = "3897" AND prescriptions.route = "BUCCAL" |
give the number of patients whose admission location is phys referral/normal deli and lab test name is lactate dehydrogenase, pleural. | 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.admission_location = "PHYS REFERRAL/NORMAL DELI" AND lab.label = "Lactate Dehydrogenase, Pleural" |
return me the number of the organizations in ' North America ' . | CREATE TABLE writes (
aid int,
pid int
)
CREATE TABLE domain_publication (
did int,
pid int
)
CREATE TABLE domain (
did int,
name varchar
)
CREATE TABLE organization (
continent varchar,
homepage varchar,
name varchar,
oid int
)
CREATE TABLE author (
aid int,
homepage... | SELECT COUNT(DISTINCT (name)) FROM organization WHERE continent = 'North America' |
give me the number of patients whose diagnoses short title is choledochlith nos w obst? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescription... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.short_title = "Choledochlith NOS w obst" |
Bin all date of transactions into the YEAR interval, and give the average of the share count for each bin. What is the trend? | CREATE TABLE Transactions (
transaction_id INTEGER,
investor_id INTEGER,
transaction_type_code VARCHAR(10),
date_of_transaction DATETIME,
amount_of_transaction DECIMAL(19,4),
share_count VARCHAR(40),
other_details VARCHAR(255)
)
CREATE TABLE Transactions_Lots (
transaction_id INTEGER,
... | SELECT date_of_transaction, AVG(share_count) FROM Transactions |
provide the number of patients whose admission year is less than 2103 and procedure icd9 code is 40? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2103" AND procedures.icd9_code = "40" |
Return the average price of products that have each category code in a bar chart. | CREATE TABLE Complaints (
complaint_id INTEGER,
product_id INTEGER,
customer_id INTEGER,
complaint_outcome_code VARCHAR(20),
complaint_status_code VARCHAR(20),
complaint_type_code VARCHAR(20),
date_complaint_raised DATETIME,
date_complaint_closed DATETIME,
staff_id INTEGER
)
CREATE ... | SELECT product_category_code, AVG(product_price) FROM Products GROUP BY product_category_code |
how many widow patients had transplant from cadaver? | 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.marital_status = "WIDOWED" AND procedures.short_title = "Transplant cadaver donor" |
what is admission type and primary disease of subject id 2560? | 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 demographic.admission_type, demographic.diagnosis FROM demographic WHERE demographic.subject_id = "2560" |
provide the number of patients whose marital status is single and procedure long title is cardiac mapping? | 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.marital_status = "SINGLE" AND procedures.long_title = "Cardiac mapping" |
Show the number of documents created in each day and bin document date by year interval with a line chart, and rank x-axis from high to low order. | CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15),
Budget_Type_Description VARCHAR(255)
)
CREATE TABLE Statements (
Statement_ID INTEGER,
Statement_Details VARCHAR(255)
)
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER,
Budget_Type_Code CHAR(15),
Document_Details VARCHAR... | 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 |
which patients had operations on chordae tendineae? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.short_title = "Chordae tendineae ops" |
Find the unit of measurement and product category code of product named 'chervil'. | CREATE TABLE characteristics (
characteristic_id number,
characteristic_type_code text,
characteristic_data_type text,
characteristic_name text,
other_characteristic_details text
)
CREATE TABLE ref_product_categories (
product_category_code text,
product_category_description text,
unit_... | SELECT t2.unit_of_measure, t2.product_category_code FROM products AS t1 JOIN ref_product_categories AS t2 ON t1.product_category_code = t2.product_category_code WHERE t1.product_name = "chervil" |
Stacked bar chart of the total number for with each Sex in each rank, could you rank in asc by the Y-axis? | CREATE TABLE Faculty_Participates_in (
FacID INTEGER,
actid INTEGER
)
CREATE TABLE Participates_in (
stuid INTEGER,
actid INTEGER
)
CREATE TABLE Activity (
actid INTEGER,
activity_name varchar(25)
)
CREATE TABLE Faculty (
FacID INTEGER,
Lname VARCHAR(15),
Fname VARCHAR(15),
Ra... | SELECT Rank, COUNT(*) FROM Faculty GROUP BY Sex, Rank ORDER BY COUNT(*) |
provide the number of patients whose insurance is medicare and diagnoses short title is neutropenia nos? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE 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.insurance = "Medicare" AND diagnoses.short_title = "Neutropenia NOS" |
what is minimum age of patients whose marital status is widowed and age is greater than or equal to 43? | 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 MIN(demographic.age) FROM demographic WHERE demographic.marital_status = "WIDOWED" AND demographic.age >= "43" |
For those employees who do not work in departments with managers that have ids between 100 and 200, a bar chart shows the distribution of hire_date and the average of manager_id bin hire_date by time. | CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varc... | SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) |
give me the number of patients whose year of death is less than or equal to 2158 and procedure icd9 code is 3615? | 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.dod_year <= "2158.0" AND procedures.icd9_code = "3615" |
How many professors for each first name? Show me a bar chart, and rank the number of emp fname in desc order please. | CREATE TABLE CLASS (
CLASS_CODE varchar(5),
CRS_CODE varchar(10),
CLASS_SECTION varchar(2),
CLASS_TIME varchar(20),
CLASS_ROOM varchar(8),
PROF_NUM int
)
CREATE TABLE EMPLOYEE (
EMP_NUM int,
EMP_LNAME varchar(15),
EMP_FNAME varchar(12),
EMP_INITIAL varchar(1),
EMP_JOBCODE va... | SELECT EMP_FNAME, COUNT(EMP_FNAME) FROM PROFESSOR AS T1 JOIN EMPLOYEE AS T2 ON T1.EMP_NUM = T2.EMP_NUM GROUP BY EMP_FNAME ORDER BY COUNT(EMP_FNAME) DESC |
What is the minimum age of patients whose primary disease is pneumonia;human immunodeficiency virus but not tuberculosis and were admitted in or after the year 2176? | 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 MIN(demographic.age) FROM demographic WHERE demographic.diagnosis = "PNEUMONIA;HUMAN IMMUNODEFIENCY VIRUS;RULE OUT TUBERCULOSIS" AND demographic.admityear >= "2176" |
How many white-russian ethnic background patients have other pulmonary insufficiency not elsewhere classfied diagnoses? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE 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.ethnicity = "WHITE - RUSSIAN" AND diagnoses.long_title = "Other pulmonary insufficiency, not elsewhere classified" |
Show me a bar chart for how many total credits are offered by each department?, sort by the bar in desc. | CREATE TABLE classroom (
building varchar(15),
room_number varchar(7),
capacity numeric(4,0)
)
CREATE TABLE prereq (
course_id varchar(8),
prereq_id varchar(8)
)
CREATE TABLE student (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
tot_cred numeric(3,0)
)
CREATE TABLE adv... | SELECT dept_name, SUM(credits) FROM course GROUP BY dept_name ORDER BY dept_name DESC |
find the number of female patients whose diagnoses is titled lap surg convert to open. | 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.gender = "F" AND diagnoses.short_title = "Lap surg convert to open" |
provide the number of patients whose diagnoses icd9 code is v4511 and lab test fluid is other body fluid? | 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.icd9_code = "V4511" AND lab.fluid = "Other Body Fluid" |
Find the latest logon date of the students whose family name is 'Jaskolski' or 'Langosh', and count them by a bar chart, and could you show from high to low by the Y? | CREATE TABLE Subjects (
subject_id INTEGER,
subject_name VARCHAR(120)
)
CREATE TABLE Courses (
course_id INTEGER,
author_id INTEGER,
subject_id INTEGER,
course_name VARCHAR(120),
course_description VARCHAR(255)
)
CREATE TABLE Course_Authors_and_Tutors (
author_id INTEGER,
author_tu... | SELECT date_of_latest_logon, COUNT(date_of_latest_logon) FROM Students WHERE family_name = "Jaskolski" OR family_name = "Langosh" ORDER BY COUNT(date_of_latest_logon) DESC |
what is primary disease of subject name jerry deberry? | 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 FROM demographic WHERE demographic.name = "Jerry Deberry" |
how many patients whose marital status is widowed and drug route is neb? | 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.marital_status = "WIDOWED" AND prescriptions.route = "NEB" |
provide the number of patients who have been diagnosed with unspecified encephalopathy and abnormal lab test status. | 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 = "Encephalopathy NOS" AND lab.flag = "abnormal" |
How many instruments does the song 'Le Pop' use? | CREATE TABLE tracklists (
albumid number,
position number,
songid number
)
CREATE TABLE instruments (
songid number,
bandmateid number,
instrument text
)
CREATE TABLE band (
id number,
firstname text,
lastname text
)
CREATE TABLE songs (
songid number,
title text
)
CREATE... | SELECT COUNT(DISTINCT instrument) FROM instruments AS T1 JOIN songs AS T2 ON T1.songid = T2.songid WHERE title = "Le Pop" |
find the drug code of subject id 3343. | 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 prescriptions.formulary_drug_cd FROM prescriptions WHERE prescriptions.subject_id = "3343" |
Tell me the trend using a line chart to show the total number of the station over the installation date, could you sort by the x-axis in asc? | CREATE TABLE status (
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE station (
id INTEGER,
name TEXT,
lat NUMERIC,
long NUMERIC,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE weather (
date TEXT,
... | SELECT installation_date, COUNT(installation_date) FROM station GROUP BY installation_date ORDER BY installation_date |
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