instruction stringlengths 5 766 | input stringlengths 38 5.51k | response stringlengths 4 3.91k |
|---|---|---|
what is admission type and drug type of subject id 52012? | 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.admission_type, prescriptions.drug_type FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.subject_id = "52012" |
find the icu stay id for the patient with patient id 3343. | 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 prescriptions.icustay_id FROM prescriptions WHERE prescriptions.subject_id = "3343" |
count the number of patients whose procedure short title is coronary arteriogram nec? | 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 procedures.short_title = "Coronary arteriogram NEC" |
give me the number of patients whose year of death is less than or equal to 2111 and lab test fluid is pleural? | 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 demographic.dod_year <= "2111.0" AND lab.fluid = "Pleural" |
What is the number of booking start dates of the apartments with type code 'Duplex' in each year? Return a bar chart, show y axis in ascending order. | CREATE TABLE Guests (
guest_id INTEGER,
gender_code CHAR(1),
guest_first_name VARCHAR(80),
guest_last_name VARCHAR(80),
date_of_birth DATETIME
)
CREATE TABLE Apartment_Bookings (
apt_booking_id INTEGER,
apt_id INTEGER,
guest_id INTEGER,
booking_status_code CHAR(15),
booking_star... | SELECT booking_start_date, COUNT(booking_start_date) FROM Apartment_Bookings AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.apt_type_code = "Duplex" ORDER BY COUNT(booking_start_date) |
what is the number of patients whose year of birth is less than 2146 and procedure icd9 code is 9755? | 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.dob_year < "2146" AND procedures.icd9_code = "9755" |
Get the number of catholic religious background patients who had a total protein lab test. | 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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.religion = "CATHOLIC" AND lab.label = "Protein, Total" |
give me the number of patients whose primary disease is cerebral aneurysm/sda and admission year is less than 2200? | 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 = "CEREBRAL ANEURYSM/SDA" AND demographic.admityear < "2200" |
provide the number of patients whose admission location is clinic referral/premature and discharge location is left against medical advi? | 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.admission_location = "CLINIC REFERRAL/PREMATURE" AND demographic.discharge_location = "LEFT AGAINST MEDICAL ADVI" |
get the number of patients who were hospitalized for more than 27 days and had aortic valve insufficiency/aortic valve replacement/sda primary 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 lab (
subject_id text,
hadm_id text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "AORTIC VALVE INSUFFIENCY\AORTIC VALVE REPLACEMENT /SDA" AND demographic.days_stay > "27" |
how many patients died in or before year 2126 due to bowel obstruction? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "BOWEL OBSTRUCTION" AND demographic.dod_year <= "2126.0" |
what is the number of players who have points less than 30 for each position?, and could you list from high to low by the y axis? | CREATE TABLE competition (
Competition_ID int,
Year real,
Competition_type text,
Country text
)
CREATE TABLE player (
Player_ID int,
name text,
Position text,
Club_ID int,
Apps real,
Tries real,
Goals text,
Points real
)
CREATE TABLE competition_result (
Competition... | SELECT Position, COUNT(*) FROM player WHERE Points < 30 GROUP BY Position ORDER BY COUNT(*) DESC |
On what dates did the student whose personal name is 'Karson' enroll in and complete the courses? | CREATE TABLE subjects (
subject_id number,
subject_name text
)
CREATE TABLE student_course_enrolment (
registration_id number,
student_id number,
course_id number,
date_of_enrolment time,
date_of_completion time
)
CREATE TABLE course_authors_and_tutors (
author_id number,
author_tu... | SELECT T1.date_of_enrolment, T1.date_of_completion FROM student_course_enrolment AS T1 JOIN students AS T2 ON T1.student_id = T2.student_id WHERE T2.personal_name = "Karson" |
how many patients whose procedure icd9 code is 5771? | 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.icd9_code = "5771" |
What is the drug type of LR? | 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_type FROM prescriptions WHERE prescriptions.drug = "LR" |
what is the diagnosis icd9 code for patient name kurt buczek? | 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 diagnoses.icd9_code FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Kurt Buczek" |
what is the number of female patient with drug code adva250ih? | 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.gender = "F" AND prescriptions.formulary_drug_cd = "ADVA250IH" |
how many patients are procedured with icd9 code 5771 and suggested with additive drug type? | 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 INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE procedures.icd9_code = "5771" AND prescriptions.drug_type = "ADDITIVE" |
what is procedure icd9 code and procedure short title of subject name thomas nazario? | 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 procedures.icd9_code, procedures.short_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.name = "Thomas Nazario" |
How many distinct locations have the things with service detail 'Unsatisfied' been located in? | CREATE TABLE customer_events (
customer_event_id number,
customer_id number,
date_moved_in time,
property_id number,
resident_id number,
thing_id number
)
CREATE TABLE organizations (
organization_id number,
parent_organization_id number,
organization_details text
)
CREATE TABLE re... | SELECT COUNT(DISTINCT T2.location_code) FROM things AS T1 JOIN timed_locations_of_things AS T2 ON T1.thing_id = T2.thing_id WHERE T1.service_details = 'Unsatisfied' |
keyphrases by stefan savage | CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE writes (
paperid i... | SELECT DISTINCT keyphrase.keyphraseid FROM author, keyphrase, paper, paperkeyphrase, writes WHERE author.authorname = 'stefan savage' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND writes.authorid = author.authorid AND writes.paperid = paper.paperid |
give me the number of patients whose drug code is myco500i? | 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 prescriptions.formulary_drug_cd = "MYCO500I" |
Find the name and budget of departments whose budgets are more than the average budget Visualize by bar chart, and display names in descending order. | CREATE TABLE prereq (
course_id varchar(8),
prereq_id varchar(8)
)
CREATE TABLE teaches (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0)
)
CREATE TABLE student (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
tot_cred... | SELECT dept_name, budget FROM department WHERE budget > (SELECT AVG(budget) FROM department) ORDER BY dept_name DESC |
How many different status codes of things are there? | CREATE TABLE customer_event_notes (
customer_event_note_id number,
customer_event_id number,
service_type_code text,
resident_id number,
property_id number,
date_moved_in time
)
CREATE TABLE services (
service_id number,
organization_id number,
service_type_code text,
service_de... | SELECT COUNT(DISTINCT status_of_thing_code) FROM timed_status_of_things |
What are all the album titles, in alphabetical order? | CREATE TABLE album (
albumid number,
title text,
artistid number
)
CREATE TABLE playlisttrack (
playlistid number,
trackid number
)
CREATE TABLE genre (
genreid number,
name text
)
CREATE TABLE artist (
artistid number,
name text
)
CREATE TABLE invoiceline (
invoicelineid num... | SELECT title FROM album ORDER BY title |
What is the number of patients with diagnoses icd9 code 43491 who died in or before 2155? | 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.dod_year <= "2155.0" AND diagnoses.icd9_code = "43491" |
Which Country are most baseball players from? | CREATE TABLE hall_of_fame (
player_id text,
yearid number,
votedby text,
ballots text,
needed text,
votes text,
inducted text,
category text,
needed_note text
)
CREATE TABLE player_award (
player_id text,
award_id text,
year number,
league_id text,
tie text,
... | SELECT birth_country FROM player GROUP BY birth_country ORDER BY COUNT(*) DESC LIMIT 1 |
how many students are advised by each rank of faculty? List the rank and the number of students, order by the the total number from high to low. | 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 Rank, COUNT(*) FROM Faculty AS T1 JOIN Student AS T2 ON T1.FacID = T2.Advisor GROUP BY T1.Rank ORDER BY COUNT(*) DESC |
give me the number of patients whose age is less than 62 and drug code is morp2i? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic ... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "62" AND prescriptions.formulary_drug_cd = "MORP2I" |
How many male students are there in each city? Show a bar chart, and list y axis from high to low order. | CREATE TABLE Dorm_amenity (
amenid INTEGER,
amenity_name VARCHAR(25)
)
CREATE TABLE Has_amenity (
dormid INTEGER,
amenid INTEGER
)
CREATE TABLE Lives_in (
stuid INTEGER,
dormid INTEGER,
room_number INTEGER
)
CREATE TABLE Student (
StuID INTEGER,
LName VARCHAR(12),
Fname VARCHA... | SELECT city_code, COUNT(*) FROM Student WHERE Sex = 'M' GROUP BY city_code ORDER BY COUNT(*) DESC |
How many patients admitted before the year 2144 had a lab test named heparin and Imw? | 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 INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2144" AND lab.label = "Heparin, LMW" |
what is minimum age of patients whose gender is f and age is greater than or equal to 27? | 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 MIN(demographic.age) FROM demographic WHERE demographic.gender = "F" AND demographic.age >= "27" |
what is admission location and date of death of subject id 7273? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT demographic.admission_location, demographic.dod FROM demographic WHERE demographic.subject_id = "7273" |
Find the number of the category descriptions of the products whose descriptions include letter 't', list names in ascending order. | CREATE TABLE Ref_Product_Categories (
product_category_code VARCHAR(15),
product_category_description VARCHAR(80),
unit_of_measure VARCHAR(20)
)
CREATE TABLE Products (
product_id INTEGER,
color_code VARCHAR(15),
product_category_code VARCHAR(15),
product_name VARCHAR(80),
typical_buyin... | SELECT product_category_description, COUNT(product_category_description) FROM Ref_Product_Categories AS T1 JOIN Products AS T2 ON T1.product_category_code = T2.product_category_code WHERE T2.product_description LIKE '%t%' GROUP BY product_category_description ORDER BY product_category_description |
how many patients whose discharge location is rehab/distinct part hosp and procedure icd9 code is 3491? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "REHAB/DISTINCT PART HOSP" AND procedures.icd9_code = "3491" |
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 hire_date and the amount of hire_date bin hire_date by time, and visualize them by a bar chart. | 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 HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 |
what is drug name of drug code piog15? | 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.drug FROM prescriptions WHERE prescriptions.formulary_drug_cd = "PIOG15" |
how many patients whose age is less than 41 and lab test category is chemistry? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "41" AND lab."CATEGORY" = "Chemistry" |
what is the number of self pay insurance patients who have had allogeneic hematopoietic stem cell transplant without purging? | 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 = "Self Pay" AND procedures.long_title = "Allogeneic hematopoietic stem cell transpant without purging" |
How many patients tested for other body fluid were born before the year 2043? | 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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2043" AND lab.fluid = "Other Body Fluid" |
give me the number of patients who have been diagnosed with tobacco use disorder and had closed biopsy of skin and subcutaneous tissue procedure. | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE diagnoses.short_title = "Tobacco use disorder" AND procedures.long_title = "Closed biopsy of skin and subcutaneous tissue... |
What is the number of 40 to 44 when the 50 to 54 is less than 4,184, and the 15 to 17 is less than 3? | CREATE TABLE table_77332 (
"C/W 15+" real,
"Oblast\\Age" text,
"15 to 17" real,
"18 to 19" real,
"20 to 24" real,
"25 to 29" real,
"30 to 34" real,
"35 to 39" real,
"40 to 44" real,
"45 to 49" real,
"50 to 54" real,
"55 to 59" real,
"60 to 64" real,
"65 to 69" rea... | SELECT COUNT("40 to 44") FROM table_77332 WHERE "50 to 54" < '4,184' AND "15 to 17" < '3' |
How many patients admitted to the emergency room had renal and ureteral dis 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.admission_location = "EMERGENCY ROOM ADMIT" AND diagnoses.short_title = "Renal & ureteral dis NOS" |
In February, which city marks the highest temperature? | CREATE TABLE city (
city_id number,
city text,
hanzi text,
hanyu_pinyin text,
regional_population number,
gdp number
)
CREATE TABLE match (
match_id number,
date text,
venue text,
score text,
result text,
competition text
)
CREATE TABLE temperature (
city_id number,... | SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id ORDER BY T2.feb DESC LIMIT 1 |
give me the number of patients born before 2184 who have lab test item id 51250. | 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.dob_year < "2184" AND lab.itemid = "51250" |
Show each state and the number of addresses in each state by a bar chart, and could you display from low to high by the bar? | CREATE TABLE Customers (
customer_id INTEGER,
payment_method_code VARCHAR(15),
customer_number VARCHAR(20),
customer_name VARCHAR(80),
customer_address VARCHAR(255),
customer_phone VARCHAR(80),
customer_email VARCHAR(80)
)
CREATE TABLE Order_Items (
order_item_id INTEGER,
order_id I... | SELECT state_province_county, COUNT(*) FROM Addresses GROUP BY state_province_county ORDER BY state_province_county |
Find the number of divorced patients with 2182-12-31 17:20:00 as the lab test chart time. | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "DIVORCED" AND lab.charttime = "2182-12-31 17:20:00" |
what is the average age of patients who are admitted under emergency and diagnosed with primary disease communicating aneurysm/sda? | 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 AVG(demographic.age) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.diagnosis = "POSTERIOR COMMUNICATING ANEURYSM/SDA" |
How many parties of the time they took office, binning the took office into Year interval, and then split by the minister's name, and sort Y in desc order. | CREATE TABLE member (
Member_ID int,
Member_Name text,
Party_ID text,
In_office text
)
CREATE TABLE party (
Party_ID int,
Minister text,
Took_office text,
Left_office text,
Region_ID int,
Party_name text
)
CREATE TABLE region (
Region_ID int,
Region_name text,
Date ... | SELECT Took_office, COUNT(Took_office) FROM party GROUP BY Minister ORDER BY COUNT(Took_office) DESC |
what is the number of patients who died in or before 2168 with lab test item id 51131? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob te... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dod_year <= "2168.0" AND lab.itemid = "51131" |
how many male patients had the procedure icd9 code 9703? | 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.gender = "M" AND procedures.icd9_code = "9703" |
What is the sum of credit value of courses with more than one prerequisite for each title? Return a bar chart, sort Y from low to high order please. | 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),
semester varchar(6),
year numeric(4,0),
grade varchar(2)
)
CREATE TABLE teaches (
ID varchar(5),
course... | SELECT title, SUM(credits) FROM course AS T1 JOIN prereq AS T2 ON T1.course_id = T2.course_id GROUP BY title ORDER BY SUM(credits) |
how many patients are diagnosed with icd9code 78820 and have lab test results showing abnormal status delta? | 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 INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "78820" AND lab.flag = "delta" |
For all employees who have the letters D or S in their first name, give me the comparison about the sum of department_id over the job_id , and group by attribute job_id, and show in descending by the X-axis. | CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
... | SELECT JOB_ID, SUM(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY JOB_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, give me the comparison about the sum of employee_id over the hire_date 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(EMPLOYEE_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 |
give me the number of patients whose days of hospital stay is greater than 7 and procedure icd9 code is 5732? | 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.days_stay > "7" AND procedures.icd9_code = "5732" |
Draw a pie chart for how many registed students do each course have? List course name and the number of their registered students? | CREATE TABLE Courses (
course_id VARCHAR(100),
course_name VARCHAR(120),
course_description VARCHAR(255),
other_details VARCHAR(255)
)
CREATE TABLE Students (
student_id INTEGER,
student_details VARCHAR(255)
)
CREATE TABLE Student_Course_Registrations (
student_id INTEGER,
course_id IN... | SELECT course_name, COUNT(*) FROM Students AS T1 JOIN Student_Course_Registrations AS T2 ON T1.student_id = T2.student_id JOIN Courses AS T3 ON T2.course_id = T3.course_id GROUP BY T2.course_id |
count the number of patients whose age is less than 55 and days of hospital stay is greater than 4? | 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.age < "55" AND demographic.days_stay > "4" |
how many patients whose marital status is widowed and drug route is both eyes? | 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 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 = "BOTH EYES" |
calculate the average age of married patients on government insurance | 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 AVG(demographic.age) FROM demographic WHERE demographic.marital_status = "MARRIED" AND demographic.insurance = "Government" |
what is the number of patients who died in or before 2131 with procedure other skin & subq i & d? | 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.dod_year <= "2131.0" AND procedures.short_title = "Other skin & subq i & d" |
provide the number of patients whose admission type is emergency and diagnoses long title is chronic pancreatitis? | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND diagnoses.long_title = "Chronic pancreatitis" |
count the number of patients whose diagnosis icd9 code is 481 and lab test fluid is blood. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location 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 = "481" AND lab.fluid = "Blood" |
give me the number of patients whose admission year is less than 2195 and lab test name is potassium? | 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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2195" AND lab.label = "Potassium" |
how many patients whose year of death is less than or equal to 2179 and procedure icd9 code is 3972? | 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.dod_year <= "2179.0" AND procedures.icd9_code = "3972" |
what is the days of hospital stay and death status of subject id 23733? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions... | SELECT demographic.days_stay, demographic.expire_flag FROM demographic WHERE demographic.subject_id = "23733" |
How many patients admitted before the year 2127 had a lab test for thyroxine (t4)? | 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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2127" AND lab.label = "Thyroxine (T4)" |
what is the number of patients whose year of birth is less than 2110 and diagnoses short title is dehydration? | 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.dob_year < "2110" AND diagnoses.short_title = "Dehydration" |
Count the number of accounts corresponding to each customer id. | CREATE TABLE product_categories (
production_type_code text,
product_type_description text,
vat_rating number
)
CREATE TABLE invoices (
invoice_number number,
order_id number,
invoice_date time
)
CREATE TABLE customers (
customer_id number,
customer_first_name text,
customer_middle... | SELECT COUNT(*), customer_id FROM accounts GROUP BY customer_id |
what is the number of patients whose ethnicity is white - russian and drug code is mabeli120? | 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "WHITE - RUSSIAN" AND prescriptions.formulary_drug_cd = "MABELI120" |
count the number of patients whose age is less than 68 and procedure icd9 code is 8321? | 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.age < "68" AND procedures.icd9_code = "8321" |
give me the number of patients in urgent care who were given lactic acid 12% lotion. | 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.admission_type = "URGENT" AND prescriptions.drug = "Lactic Acid 12% Lotion" |
what is drug name and drug route of drug code epo2i? | 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 prescriptions.drug, prescriptions.route FROM prescriptions WHERE prescriptions.formulary_drug_cd = "EPO2I" |
provide the number of patients whose insurance is self pay and lab test name is fibrin degradation products? | 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 demographic.insurance = "Self Pay" AND lab.label = "Fibrin Degradation Products" |
how many patients diagnosed with short title sec neuroendo tumor-bone have blood gas lab test category? | 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 lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Sec neuroendo tumor-bone" AND lab."CATEGORY" = "Blood Gas" |
how many patients had an urgent admission type with a sc drug route? | 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "URGENT" AND prescriptions.route = "SC" |
how many patients aged below 54 years had the lab test name specific gravity? | 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 < "54" AND lab.label = "Specific Gravity" |
Show the number of competitions held in each city with a bar chart, and rank x axis in ascending order. | CREATE TABLE competition_record (
Competition_ID int,
Farm_ID int,
Rank int
)
CREATE TABLE farm (
Farm_ID int,
Year int,
Total_Horses real,
Working_Horses real,
Total_Cattle real,
Oxen real,
Bulls real,
Cows real,
Pigs real,
Sheep_and_Goats real
)
CREATE TABLE city ... | SELECT Official_Name, COUNT(Official_Name) FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY Official_Name ORDER BY Official_Name |
what is the number of patients whose ethnicity is white and diagnoses icd9 code is 7847? | 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" AND diagnoses.icd9_code = "7847" |
what is discharge time of subject id 3343? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions... | SELECT demographic.dischtime FROM demographic WHERE demographic.subject_id = "3343" |
calculate the number of unmarried patients who had a lab test for oxygen saturation. | 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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "SINGLE" AND lab.label = "Oxygen Saturation" |
How many male patients are with medicaid insurance? | 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.gender = "M" AND demographic.insurance = "Medicaid" |
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, return a line chart about the change of employee_id over hire_date . | 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 jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY... | SELECT HIRE_DATE, EMPLOYEE_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, a bar chart shows the distribution of hire_date and the amount of hire_date bin hire_date by weekday, and sort how many hire date in ascending order. | CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(... | SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY COUNT(HIRE_DATE) |
For all employees who have the letters D or S in their first name, a bar chart shows the distribution of job_id and the sum of department_id , and group by attribute job_id, rank by the total number from high to low. | CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
... | SELECT JOB_ID, SUM(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY SUM(DEPARTMENT_ID) DESC |
List the number of documents for each receipt date and bin by weekday in a bar chart, sort y axis from high to low order. | CREATE TABLE Ref_Document_Status (
document_status_code CHAR(15),
document_status_description VARCHAR(255)
)
CREATE TABLE Documents (
document_id INTEGER,
document_status_code CHAR(15),
document_type_code CHAR(15),
shipping_agent_code CHAR(15),
receipt_date DATETIME,
receipt_number VARC... | SELECT receipt_date, COUNT(receipt_date) FROM Documents ORDER BY COUNT(receipt_date) DESC |
provide the number of patients with personal history of tobacco use diagnoses who were admitted before 2156. | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2156" AND diagnoses.long_title = "Personal history of tobacco use" |
Show the product ids and the number of unique orders containing each product. | CREATE TABLE financial_transactions (
transaction_id number,
account_id number,
invoice_number number,
transaction_type text,
transaction_date time,
transaction_amount number,
transaction_comment text,
other_transaction_details text
)
CREATE TABLE products (
product_id number,
p... | SELECT product_id, COUNT(DISTINCT order_id) FROM order_items GROUP BY product_id |
what is the number of patients whose admission type is urgent and primary disease is pneumonia? | 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_type = "URGENT" AND demographic.diagnosis = "PNEUMONIA" |
tell me the number of patients on base drug prescription who have procedure icd9 code 5771. | 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 INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE procedures.icd9_code = "5771" AND prescriptions.drug_type = "BASE" |
give me the number of patients whose gender is m and drug name is xopenex neb? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.gender = "M" AND prescriptions.drug = "Xopenex Neb" |
provide the number of patients whose diagnoses short title is hematoma complic proc and drug route is buccal? | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Hematoma complic proc" AND prescriptions.route = "BUCCAL" |
A bar chart shows the distribution of meter_200 and the average of ID , and group by attribute meter_200, I want to rank by the bars in descending. | CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
)
CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_400 text,
meter_500 text,
meter_600 text,
... | SELECT meter_200, AVG(ID) FROM swimmer GROUP BY meter_200 ORDER BY meter_200 DESC |
what is the patient name and procedure of the patient with id 29961? | 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 demographic.name, procedures.short_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.subject_id = "29961" |
provide the number of patients whose age is less than 43 and drug code is hepbase? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "43" AND prescriptions.formulary_drug_cd = "HEPBASE" |
Show me about the correlation between Credits and Instructor in a scatter chart. | CREATE TABLE Member_of (
FacID INTEGER,
DNO INTEGER,
Appt_Type VARCHAR(15)
)
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 Student (
StuID... | SELECT Credits, Instructor FROM Course ORDER BY Credits |
give me the number of patients whose primary disease is st-segment elevation myocardial infarction\cardiac cath and year of birth is less than 2043? | 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 = "ST-SEGMENT ELEVATION MYOCARDIAL INFARCTION\CARDIAC CATH" AND demographic.dob_year < "2043" |
how many patients with primary disease bowel obstruction died in or before 2174? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "BOWEL OBSTRUCTION" AND demographic.dod_year <= "2174.0" |
provide the number of patients whose gender is f and procedure icd9 code is 5783? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.gender = "F" AND procedures.icd9_code = "5783" |
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 first_name and employee_id , and display by the total number in ascending. | CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40)... | SELECT FIRST_NAME, EMPLOYEE_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY EMPLOYEE_ID |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.