instruction stringlengths 5 766 | input stringlengths 38 5.51k | response stringlengths 4 3.91k |
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count the number of patients whose admission type is elective and procedure long title is other endoscopy of small intestine? | 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND procedures.long_title = "Other endoscopy of small intestine" |
what is minimum age of patients whose marital status is widowed and admission location is trsf within this facility? | 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 MIN(demographic.age) FROM demographic WHERE demographic.marital_status = "WIDOWED" AND demographic.admission_location = "TRSF WITHIN THIS FACILITY" |
what is average age of patients whose gender is f and admission type is emergency? | 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 AVG(demographic.age) FROM demographic WHERE demographic.gender = "F" AND demographic.admission_type = "EMERGENCY" |
give me the number of patients whose ethnicity is american indian/alaska native and diagnoses icd9 code is 59654? | 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.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" AND diagnoses.icd9_code = "59654" |
what is the date of birth for the patient name tina henderson? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
... | SELECT demographic.dob FROM demographic WHERE demographic.name = "Tina Henderson" |
how many patients are admitted urgently and tested for lab item id 50805? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "URGENT" AND lab.itemid = "50805" |
How many patients are with black/cape verdan ethnicity and lab test id 51249? | 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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.ethnicity = "BLACK/CAPE VERDEAN" AND lab.itemid = "51249" |
Show the average of account details for different statement details in a bar chart, and order by the Y in ascending. | CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15),
Budget_Type_Description VARCHAR(255)
)
CREATE TABLE Accounts (
Account_ID INTEGER,
Statement_ID INTEGER,
Account_Details VARCHAR(255)
)
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15),
Document_Type_Name VARCHAR(255),... | SELECT Statement_Details, AVG(Account_Details) FROM Accounts AS T1 JOIN Statements AS T2 ON T1.Statement_ID = T2.Statement_ID GROUP BY Statement_Details ORDER BY AVG(Account_Details) |
What are all the different zip codes that have a maximum dew point that was always below 70? | CREATE TABLE weather (
date text,
max_temperature_f number,
mean_temperature_f number,
min_temperature_f number,
max_dew_point_f number,
mean_dew_point_f number,
min_dew_point_f number,
max_humidity number,
mean_humidity number,
min_humidity number,
max_sea_level_pressure_inc... | SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f >= 70 |
provide me with the number of patients younger than 36 years who are diagnosed with hypotension of hemodialysis. | 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.age < "36" AND diagnoses.long_title = "Hypotension of hemodialysis" |
what is the number of patients whose admission type is elective and admission year is less than 2184? | 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.admission_type = "ELECTIVE" AND demographic.admityear < "2184" |
For those employees who did not have any job in the past, draw a scatter chart about the correlation between commission_pct and manager_id . | CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JO... | SELECT COMMISSION_PCT, MANAGER_ID FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) |
count the number of patients whose diagnoses short title is subarachnoid hemorrhage and lab test fluid is 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Subarachnoid hemorrhage" AND lab.fluid = "Pleural" |
Show the number of customer address history for each city in a bar chart, and could you order from low to high by the Y? | 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 Customer_Address_History (
customer_id INTEGER,
address_id INTEGER,
date_from DATETIME,
... | SELECT T3.city, COUNT(T3.city) FROM Customer_Address_History AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id JOIN Addresses AS T3 ON T1.address_id = T3.address_id GROUP BY T3.city ORDER BY COUNT(T3.city) |
Show me the number of patients suffering from hypertension but not coronary artery disease or cardiac catheterization as their primary disease who died on or before 2154. | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "HYPERTENSION;RULE OUT CORONARY ARTERY DISEASE\CARDIAC CATH" AND demographic.dod_year <= "2154.0" |
Give me a histogram for what is the lowest salary in departments with average salary greater than the overall average, and could you rank by the x axis in asc? | 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(4)
)
CREATE TABLE course (
course_id varchar(8),
title varchar(50),
dept_name varchar(20),
credits numer... | SELECT dept_name, MIN(salary) FROM instructor GROUP BY dept_name ORDER BY dept_name |
Average lifespan of hall of fame players | CREATE TABLE salary (
year number,
team_id text,
league_id text,
player_id text,
salary number
)
CREATE TABLE player_award (
player_id text,
award_id text,
year number,
league_id text,
tie text,
notes text
)
CREATE TABLE player_award_vote (
award_id text,
year numbe... | SELECT AVG(T1.death_year - T1.birth_year) FROM player AS T1 JOIN hall_of_fame AS T2 ON T1.player_id = T2.player_id WHERE T2.inducted = "Y" |
what is the number of patients whose ethnicity is black/haitian and item id is 50904? | 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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.ethnicity = "BLACK/HAITIAN" AND lab.itemid = "50904" |
provide the number of patients whose religion is christian scientist and item id is 50811 | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.religion = "CHRISTIAN SCIENTIST" AND lab.itemid = "50811" |
how many patients aged below 64 years had celo-vessicle fistula as the primary disease? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "CELO-VESSICLE FISTULA" AND demographic.age < "64" |
how many white patients have the lab test total protein, pleural done? | 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.ethnicity = "WHITE" AND lab.label = "Total Protein, Pleural" |
papers by stefan savage | CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE paperdataset (
paperid int,
datase... | SELECT DISTINCT writes.paperid FROM author, writes WHERE author.authorname = 'stefan savage' AND writes.authorid = author.authorid |
For those employees who did not have any job in the past, a bar chart shows the distribution of hire_date and the average of department_id bin hire_date by weekday, and sort by the Y-axis in desc. | 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(DEPARTMENT_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY AVG(DEPARTMENT_ID) DESC |
among patients who had open and other replacement of aortic valve with tissue graft, how many of them were unmarried? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.marital_status = "SINGLE" AND procedures.long_title = "Open and other replacement of aortic valve with tissue graft" |
provide the number of patients whose death status is 0 and primary disease is aortic insufficiency/re-do sternotomy; aortic valve replacement. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE 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.expire_flag = "0" AND demographic.diagnosis = "AORTIC INSUFFICIENCY\RE-DO STERNOTOMY; AORTIC VALVE REPLACEMENT " |
what is maximum age of patients whose marital status is divorced and admission type is emergency? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
... | SELECT MAX(demographic.age) FROM demographic WHERE demographic.marital_status = "DIVORCED" AND demographic.admission_type = "EMERGENCY" |
how many patients whose admission year is less than 2105 and diagnoses long title is stevens-johnson syndrome-toxic epidermal necrolysis overlap syndrome? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2105" AND diagnoses.long_title = "Stevens-Johnson syndrome-toxic epidermal necrolysis overlap syndrome" |
provide the number of patients whose age is less than 43 and lab test fluid is other body fluid? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "43" AND lab.fluid = "Other Body Fluid" |
what is the lab test fluid of subject id 25543? | 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 lab.fluid FROM lab WHERE lab.subject_id = "25543" |
give me the birth date of patient stephanie suchan ? | 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 demographic.dob FROM demographic WHERE demographic.name = "Stephanie Suchan" |
At which restaurant did the students spend the least amount of time? List restaurant and the time students spent on in total. | CREATE TABLE student (
stuid number,
lname text,
fname text,
age number,
sex text,
major number,
advisor number,
city_code text
)
CREATE TABLE visits_restaurant (
stuid number,
resid number,
time time,
spent number
)
CREATE TABLE restaurant_type (
restypeid number,
... | SELECT restaurant.resname, SUM(visits_restaurant.spent) FROM visits_restaurant JOIN restaurant ON visits_restaurant.resid = restaurant.resid GROUP BY restaurant.resid ORDER BY SUM(visits_restaurant.spent) LIMIT 1 |
what is age and language of subject id 8990? | 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.age, demographic.language FROM demographic WHERE demographic.subject_id = "8990" |
For those employees who do not work in departments with managers that have ids between 100 and 200, show me about the distribution of phone_number and salary in a bar chart, I want to list by the Y-axis in descending please. | 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 jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decima... | SELECT PHONE_NUMBER, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SALARY DESC |
give me the number of patients whose admission location is emergency room admit and diagnoses icd9 code is 52809? | 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.icd9_code = "52809" |
show me the number of female patients who underwent atrial cardioversion. | 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.gender = "F" AND procedures.long_title = "Atrial cardioversion" |
what is the number of patients whose diagnoses icd9 code is 99659 and drug route is id? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.icd9_code = "99659" AND prescriptions.route = "ID" |
When did Luke S Zettlemoyer publish ? | CREATE TABLE writes (
paperid int,
authorid int
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE venue (
venueid int,
venuename var... | SELECT DISTINCT paper.year FROM author, paper, writes WHERE author.authorname = 'Luke S Zettlemoyer' AND writes.authorid = author.authorid AND writes.paperid = paper.paperid ORDER BY paper.year |
provide the number of patients whose admission type is emergency and diagnosis long title is other specified disorders of esophagus | 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_type = "EMERGENCY" AND diagnoses.long_title = "Other specified disorders of esophagus" |
For all employees who have the letters D or S in their first name, visualize a bar chart about the distribution of hire_date and the average of salary bin hire_date by time, and order by the y-axis from high to low. | CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
... | SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY AVG(SALARY) DESC |
Who was the EP winning team when the FM winning team was Brabham - Ford and the HM winning team was Osca? | CREATE TABLE table_31013 (
"Rnd" text,
"Circuit" text,
"AP Winning Team" text,
"BP Winning Team" text,
"CM Winning Team" text,
"CP Winning Team" text,
"DM Winning Team" text,
"DP Winning Team" text,
"EM Winning Team" text,
"EP Winning Team" text,
"FM Winning Team" text,
"... | SELECT "EP Winning Team" FROM table_31013 WHERE "FM Winning Team" = 'Brabham - Ford' AND "HM Winning Team" = 'Osca' |
count the number of patients whose diagnoses short title is hx of bladder malignancy and drug type is additive? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Hx of bladder malignancy" AND prescriptions.drug_type = "ADDITIVE" |
how many single patients are of hispanic or latino-puertorican ethnicity? | 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.marital_status = "SINGLE" AND demographic.ethnicity = "HISPANIC/LATINO - PUERTO RICAN" |
most common topics at ACL 2014 | CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE field (
fieldid int
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABL... | SELECT DISTINCT COUNT(paper.paperid), keyphrase.keyphraseid FROM keyphrase, paper, paperkeyphrase, venue WHERE paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND paper.year = 2014 AND venue.venueid = paper.venueid AND venue.venuename = 'ACL' GROUP BY keyphrase.keyphraseid ... |
give the number of newborns who were born before the year 2168. | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "NEWBORN" AND demographic.dob_year < "2168" |
provide the number of patients whose admission year is less than 2144 and lab test name is heparin, lmw? | 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" |
Give me a bar chart that the X-axis is the date_moved_in and the Y-axis is Count them, please bin X-axis into Year interval, and show by the Y-axis from low to high. | CREATE TABLE Things (
thing_id INTEGER,
organization_id INTEGER,
Type_of_Thing_Code CHAR(15),
service_type_code CHAR(10),
service_details VARCHAR(255)
)
CREATE TABLE Services (
service_id INTEGER,
organization_id INTEGER,
service_type_code CHAR(15),
service_details VARCHAR(255)
)
C... | SELECT date_moved_in, COUNT(date_moved_in) FROM Customer_Events ORDER BY COUNT(date_moved_in) |
Compare the total number of different product type codes, and I want to sort how many product type code from high to low order. | CREATE TABLE Locations (
Location_ID INTEGER,
Other_Details VARCHAR(255)
)
CREATE TABLE Events (
Event_ID INTEGER,
Address_ID INTEGER,
Channel_ID INTEGER,
Event_Type_Code CHAR(15),
Finance_ID INTEGER,
Location_ID INTEGER
)
CREATE TABLE Parties_in_Events (
Party_ID INTEGER,
Even... | SELECT Product_Type_Code, COUNT(Product_Type_Code) FROM Products GROUP BY Product_Type_Code ORDER BY COUNT(Product_Type_Code) DESC |
what is average age of patients whose discharge location is disch-tran to psych hosp and primary disease is left femur fracture? | 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 AVG(demographic.age) FROM demographic WHERE demographic.discharge_location = "DISCH-TRAN TO PSYCH HOSP" AND demographic.diagnosis = "LEFT FEMUR FRACTURE" |
find out the number of patients who have drug code epo3i. | 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.formulary_drug_cd = "EPO3I" |
For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about salary over the email , and display y-axis in ascending order. | CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL v... | SELECT EMAIL, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SALARY |
Give me a histogram for what is the code of each role and the number of employees in each role?, and sort x axis in desc order please. | CREATE TABLE Employees (
Employee_ID INTEGER,
Role_Code CHAR(15),
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1),
Date_of_Birth DATETIME,
Other_Details VARCHAR(255)
)
CREATE TABLE Document_Locations (
Document_ID INTEGER,
Location_Code CHAR(15),
Date_in_Location_From DATETIME,
D... | SELECT Role_Code, COUNT(*) FROM Employees GROUP BY Role_Code ORDER BY Role_Code DESC |
what is the number of patients whose diagnoses long title is osteoarthrosis, unspecified whether generalized or localized, site unspecified and lab test abnormal status is abnormal? | 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.long_title = "Osteoarthrosis, unspecified whether generalized or localized, site unspecified" AND lab.flag = "abnormal" |
count the number of patients on po/ng route of drug administration who are less than 72 years. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "72" AND prescriptions.route = "PO/NG" |
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 phone_number and salary , and show by the bar from high to low. | 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 PHONE_NUMBER, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY PHONE_NUMBER DESC |
For directors who had more than one movie, bin the dates of release into Year interval and them compute the total number of movies in each year bucket Show me the result using a line chart, I want to rank year from low to high order. | CREATE TABLE Reviewer (
rID int,
name text
)
CREATE TABLE Movie (
mID int,
title text,
year int,
director text
)
CREATE TABLE Rating (
rID int,
mID int,
stars int,
ratingDate date
) | SELECT year, COUNT(year) FROM Movie AS T1 JOIN Movie AS T2 ON T1.director = T2.director WHERE T1.title <> T2.title ORDER BY year |
calculat the number of patients with icd9 code 4928 who had abnormal lab test results. | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "4928" AND lab.flag = "abnormal" |
Bar chart of minimal salary from each dept name, and list in descending by the X-axis please. | CREATE TABLE advisor (
s_ID varchar(5),
i_ID varchar(5)
)
CREATE TABLE instructor (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
salary numeric(8,2)
)
CREATE TABLE classroom (
building varchar(15),
room_number varchar(7),
capacity numeric(4,0)
)
CREATE TABLE prereq (
... | SELECT dept_name, MIN(salary) FROM instructor GROUP BY dept_name ORDER BY dept_name DESC |
Visualize a bar chart for simply displaying the email address of the employee and the corresponding employee id, and show from high to low by the X-axis. | CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE... | SELECT EMAIL, EMPLOYEE_ID FROM employees ORDER BY EMAIL DESC |
For patient Kurt Buczek, specify the location he was admitted to and his death status | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT demographic.expire_flag, demographic.admission_location FROM demographic WHERE demographic.name = "Kurt Buczek" |
Let me know the number of patients with diagnoses icd9 code 49320 who had a urine test. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "49320" AND lab.fluid = "Urine" |
Stacked bar of date in locaton to and the number of date in locaton to colored by Location_Code, order by the Y in ascending. | CREATE TABLE Employees (
Employee_ID INTEGER,
Role_Code CHAR(15),
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1),
Date_of_Birth DATETIME,
Other_Details VARCHAR(255)
)
CREATE TABLE Ref_Locations (
Location_Code CHAR(15),
Location_Name VARCHAR(255),
Location_Description VARCHAR(255)
)... | SELECT Date_in_Locaton_To, COUNT(Date_in_Locaton_To) FROM Document_Locations GROUP BY Location_Code ORDER BY COUNT(Date_in_Locaton_To) |
What is the name of each course and the corresponding number of student enrollment. Show bar chart. | CREATE TABLE Courses (
course_id INTEGER,
author_id INTEGER,
subject_id INTEGER,
course_name VARCHAR(120),
course_description VARCHAR(255)
)
CREATE TABLE Subjects (
subject_id INTEGER,
subject_name VARCHAR(120)
)
CREATE TABLE Student_Course_Enrolment (
registration_id INTEGER,
stud... | SELECT course_name, COUNT(*) FROM Courses AS T1 JOIN Student_Course_Enrolment AS T2 ON T1.course_id = T2.course_id GROUP BY T1.course_name |
For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about commission_pct over the email . | CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),... | SELECT EMAIL, COMMISSION_PCT FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) |
Find the average age of students living in each dorm and the name of dorm. Plot them as bar chart. | CREATE TABLE Dorm (
dormid INTEGER,
dorm_name VARCHAR(20),
student_capacity INTEGER,
gender VARCHAR(1)
)
CREATE TABLE Dorm_amenity (
amenid INTEGER,
amenity_name VARCHAR(25)
)
CREATE TABLE Lives_in (
stuid INTEGER,
dormid INTEGER,
room_number INTEGER
)
CREATE TABLE Student (
S... | SELECT dorm_name, AVG(T1.Age) FROM Student AS T1 JOIN Lives_in AS T2 ON T1.stuid = T2.stuid JOIN Dorm AS T3 ON T3.dormid = T2.dormid GROUP BY T3.dorm_name |
what is date of birth and admission type of subject name james sloan? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id... | SELECT demographic.dob, demographic.admission_type FROM demographic WHERE demographic.name = "James Sloan" |
how many patients whose ethnicity is hispanic or latino and age is less than 20? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "HISPANIC OR LATINO" AND demographic.age < "20" |
give me the number of patients whose primary disease is mesenteric ischemia and year of birth is less than 2180? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "MESENTERIC ISCHEMIA" AND demographic.dob_year < "2180" |
tell me the birth date and marital status of patient jerry deberry. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob te... | SELECT demographic.marital_status, demographic.dob FROM demographic WHERE demographic.name = "Jerry Deberry" |
what is subject name and admission type of subject id 2560? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT demographic.name, demographic.admission_type FROM demographic WHERE demographic.subject_id = "2560" |
what is procedure long title of subject name paul edwards? | 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 procedures.long_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.name = "Paul Edwards" |
Find the name of the customers who have at most two orders. | CREATE TABLE orders (
order_id number,
customer_id number,
order_status text,
date_order_placed time,
order_details text
)
CREATE TABLE shipments (
shipment_id number,
order_id number,
invoice_number number,
shipment_tracking_number text,
shipment_date time,
other_shipment_d... | SELECT T2.customer_name FROM orders AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.customer_id HAVING COUNT(*) <= 2 |
how many patients whose diagnoses icd9 code is 27801? | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.icd9_code = "27801" |
what is the number of patients whose admission year is less than 2190 and procedure long title is formation of cutaneous uretero-ileostomy? | 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admityear < "2190" AND procedures.long_title = "Formation of cutaneous uretero-ileostomy" |
what is drug name of drug code nalo4i? | 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 prescriptions.drug FROM prescriptions WHERE prescriptions.formulary_drug_cd = "NALO4I" |
what is the number of patients whose ethnicity is asian and age is less than 47? | 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 WHERE demographic.ethnicity = "ASIAN" AND demographic.age < "47" |
How many papers written on ImageNet ? | CREATE TABLE field (
fieldid int
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
C... | SELECT DISTINCT COUNT(DISTINCT paper.paperid) FROM dataset, paper, paperdataset WHERE dataset.datasetname LIKE 'ImageNet' AND paperdataset.datasetid = dataset.datasetid AND paper.paperid = paperdataset.paperid |
A bar chart for what are the number of the dates when customers with ids between 10 and 20 became customers?, list the number of date became customer in descending order. | CREATE TABLE Customer_Contact_Channels (
customer_id INTEGER,
channel_code VARCHAR(15),
active_from_date DATETIME,
active_to_date DATETIME,
contact_number VARCHAR(50)
)
CREATE TABLE Addresses (
address_id INTEGER,
address_content VARCHAR(80),
city VARCHAR(50),
zip_postcode VARCHAR(2... | SELECT date_became_customer, COUNT(date_became_customer) FROM Customers WHERE customer_id BETWEEN 10 AND 20 ORDER BY COUNT(date_became_customer) DESC |
Find Nationality and the amount of Nationality , and group by attribute Nationality, and visualize them by a bar chart, display by the bars in descending. | CREATE TABLE record (
ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_40... | SELECT Nationality, COUNT(Nationality) FROM swimmer GROUP BY Nationality ORDER BY Nationality DESC |
count the number of patients whose drug code is zinc220 and lab test fluid is blood? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE 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 INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.formulary_drug_cd = "ZINC220" AND lab.fluid = "Blood" |
Does brian curless do convolution ? | CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE journal (
journalid int,
jo... | SELECT DISTINCT author.authorid, paper.paperid FROM author, keyphrase, paper, paperkeyphrase, writes WHERE author.authorname = 'brian curless' AND keyphrase.keyphrasename = 'convolution' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND writes.authorid = author.author... |
tell me the type of admission and primary disease of patient francis baseler. | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
... | SELECT demographic.admission_type, demographic.diagnosis FROM demographic WHERE demographic.name = "Francis Baseler" |
give me the number of patients whose marital status is widowed and drug route is oral? | 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.marital_status = "WIDOWED" AND prescriptions.route = "ORAL" |
How many professors whose office is located in DRE 102 are hired in each month? Return a bar chart. | CREATE TABLE DEPARTMENT (
DEPT_CODE varchar(10),
DEPT_NAME varchar(30),
SCHOOL_CODE varchar(8),
EMP_NUM int,
DEPT_ADDRESS varchar(20),
DEPT_EXTENSION varchar(4)
)
CREATE TABLE COURSE (
CRS_CODE varchar(10),
DEPT_CODE varchar(10),
CRS_DESCRIPTION varchar(35),
CRS_CREDIT float(8)
... | SELECT EMP_HIREDATE, COUNT(EMP_HIREDATE) FROM EMPLOYEE AS T1 JOIN PROFESSOR AS T2 ON T1.EMP_NUM = T2.EMP_NUM WHERE T2.PROF_OFFICE = 'DRE 102' |
Find the dates on which more than one revisions were made, and the bin the date of latest revision into weekday interval and count them as a bar chart. | CREATE TABLE Catalog_Structure (
catalog_level_number INTEGER,
catalog_id INTEGER,
catalog_level_name VARCHAR(50)
)
CREATE TABLE Attribute_Definitions (
attribute_id INTEGER,
attribute_name VARCHAR(30),
attribute_data_type VARCHAR(10)
)
CREATE TABLE Catalog_Contents (
catalog_entry_id INTE... | SELECT date_of_latest_revision, COUNT(date_of_latest_revision) FROM Catalogs |
what is discharge location 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.discharge_location FROM demographic WHERE demographic.name = "Jerry Deberry" |
What are the cell phone numbers of the candidates that received an assessment code of 'Fail'? | CREATE TABLE courses (
course_id text,
course_name text,
course_description text,
other_details text
)
CREATE TABLE candidates (
candidate_id number,
candidate_details text
)
CREATE TABLE students (
student_id number,
student_details text
)
CREATE TABLE people (
person_id number,
... | SELECT T3.cell_mobile_number FROM candidates AS T1 JOIN candidate_assessments AS T2 ON T1.candidate_id = T2.candidate_id JOIN people AS T3 ON T1.candidate_id = T3.person_id WHERE T2.asessment_outcome_code = "Fail" |
What are dates of birth of all the guests whose gender is 'Male'? | CREATE TABLE apartment_buildings (
building_id number,
building_short_name text,
building_full_name text,
building_description text,
building_address text,
building_manager text,
building_phone text
)
CREATE TABLE apartment_facilities (
apt_id number,
facility_code text
)
CREATE TA... | SELECT date_of_birth FROM guests WHERE gender_code = "Male" |
what is minimum age of patients whose gender is m and year of birth is greater than 2078? | 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 MIN(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.dob_year > "2078" |
For all employees who have the letters D or S in their first name, give me the comparison about the sum of salary over the job_id , and group by attribute job_id. | CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
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),
CO... | SELECT JOB_ID, SUM(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID |
provide the number of patients whose language is cape and admission location is trsf within this facility? | 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.language = "CAPE" AND demographic.admission_location = "TRSF WITHIN THIS FACILITY" |
Give me the comparison about meter_100 over the meter_600 by a bar chart, and list from low to high by the x-axis please. | 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 stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
)
CREATE TABLE swimme... | SELECT meter_600, meter_100 FROM swimmer ORDER BY meter_600 |
how many patients admitted before the year 2120 had the lab test item id 51044? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2120" AND lab.itemid = "51044" |
What campuses are located in Los Angeles county and opened after 1950? | CREATE TABLE campuses (
id number,
campus text,
location text,
county text,
year number
)
CREATE TABLE faculty (
campus number,
year number,
faculty number
)
CREATE TABLE discipline_enrollments (
campus number,
discipline number,
year number,
undergraduate number,
g... | SELECT campus FROM campuses WHERE county = "Los Angeles" AND year > 1950 |
count the number of patients whose admission type is newborn and admission year is less than 2157? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "NEWBORN" AND demographic.admityear < "2157" |
what is the number of patients with a personal history of antineoplastic chemotherapy diagnoses who have been admitted to the hospital on an emergency basis? | 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 demographic.admission_type = "EMERGENCY" AND diagnoses.long_title = "Personal history of antineoplastic chemotherapy" |
how many patients less than 72 years of age have midazbase drug code? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "72" AND prescriptions.formulary_drug_cd = "MIDAZBASE" |
find the number of patients admitted before the year 2146 whose admission type is elective. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob te... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_type = "ELECTIVE" AND demographic.admityear < "2146" |
what is the number of patients whose marital status is divorced and admission year is less than 2152? | 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.marital_status = "DIVORCED" AND demographic.admityear < "2152" |
how many of the patients aged below 31 were treated with sodium fluoride (dental gel)? | 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "31" AND prescriptions.drug = "Sodium Fluoride (Dental Gel)" |
count the number of patients who had other percutaneous procedures on biliary tract and were hospitalized for more than 5 days. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob te... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "5" AND procedures.long_title = "Other percutaneous procedures on biliary tract" |
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