instruction stringlengths 5 766 | input stringlengths 38 5.51k | response stringlengths 4 3.91k |
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tell me the number of patients who were admitted before the year 2172 and underwent aortography. | 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 demographic.admityear < "2172" AND procedures.long_title = "Aortography" |
Among patients admitted before the year 2107, how many of them were Asian? | 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 = "ASIAN" AND demographic.admityear < "2107" |
what is the drug code and drug route of the drug calcium carbonate? | 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 prescriptions.formulary_drug_cd, prescriptions.route FROM prescriptions WHERE prescriptions.drug = "Calcium Carbonate" |
what is average age of patients whose insurance is government and days of hospital stay is 1? | 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 AVG(demographic.age) FROM demographic WHERE demographic.insurance = "Government" AND demographic.days_stay = "1" |
count the number of patients whose primary disease is morbid obesity/sda and year of death is less than or equal to 2183? | 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 WHERE demographic.diagnosis = "MORBID OBESITY/SDA" AND demographic.dod_year <= "2183.0" |
look for the number of patients taking drug via pr route who were admitted before 2155. | 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admityear < "2155" AND prescriptions.route = "PR" |
Among patients who had sigmoid diverticulitis, colovestical fistula/sda as their primary disease, calculate the maximum age of divorcee patients. | 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 MAX(demographic.age) FROM demographic WHERE demographic.marital_status = "DIVORCED" AND demographic.diagnosis = "SIGMOID DIVERTICULITIS, COLOVESTICAL FISTULA/SDA" |
provide the number of patients whose drug type is main and lab test name is calculated bicarbonate, whole blood? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
... | 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.drug_type = "MAIN" AND lab.label = "Calculated Bicarbonate, Whole Blood" |
provide the number of patients whose year of birth is less than 2069 and lab test name is amylase? | 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.dob_year < "2069" AND lab.label = "Amylase" |
give me the number of patients whose age is less than 68 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 lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "68" AND lab.fluid = "Pleural" |
give me the number of private insurance patients who have procedure icd9 code 8960. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Private" AND procedures.icd9_code = "8960" |
For those employees who was hired before 2002-06-21, draw a bar chart about the distribution of job_id and the sum of salary , and group by attribute job_id. | CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE... | SELECT JOB_ID, SUM(SALARY) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID |
how many of the patients belonging to black/cape verdean ethnic origin remained admitted in hospital for more than 10 days? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/CAPE VERDEAN" AND demographic.days_stay > "10" |
how many patients whose primary disease is st elevated myocardial infarction\cardiac cath and lab test fluid is ascites? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.diagnosis = "ST ELEVATED MYOCARDIAL INFARCTION\CARDIAC CATH" AND lab.fluid = "Ascites" |
What are the room numbers and corresponding buildings for classrooms which can seat between 50 to 100 students? | CREATE TABLE department (
dept_name text,
building text,
budget number
)
CREATE TABLE course (
course_id text,
title text,
dept_name text,
credits number
)
CREATE TABLE time_slot (
time_slot_id text,
day text,
start_hr number,
start_min number,
end_hr number,
end_mi... | SELECT building, room_number FROM classroom WHERE capacity BETWEEN 50 AND 100 |
mitochondrial biogenesis later than 1990 | 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 paper.paperid FROM keyphrase, paper, paperkeyphrase WHERE keyphrase.keyphrasename = 'mitochondrial biogenesis' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND paper.year > 1990 |
give me the number of patients whose primary disease is complete heart block and drug type is main? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.diagnosis = "COMPLETE HEART BLOCK" AND prescriptions.drug_type = "MAIN" |
give the average age of married patients who were admitted in or after the year 2187. | 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 AVG(demographic.age) FROM demographic WHERE demographic.marital_status = "MARRIED" AND demographic.admityear >= "2187" |
Find the number of office admission patients who had a monocyte count lab test done. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND lab.label = "Monocytes" |
give me the number of urgent hospital admission patients who have tacrolimus drug prescription. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "URGENT" AND prescriptions.drug = "Tacrolimus" |
count the number of patients whose admission year is less than 2150 and drug route is tp? | 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.admityear < "2150" AND prescriptions.route = "TP" |
what is the number of medicaid insurance patients who have undergone hemodialysis? | 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.insurance = "Medicaid" AND procedures.long_title = "Hemodialysis" |
which year had the most NIPS papers ? | CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE field (
fieldid int
)
CREATE TA... | SELECT DISTINCT COUNT(paper.paperid), paper.year FROM paper, venue WHERE venue.venueid = paper.venueid AND venue.venuename = 'NIPS' GROUP BY paper.year ORDER BY COUNT(paper.paperid) DESC |
what is admission type and admission location of subject id 55094? | 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 demographic.admission_type, demographic.admission_location FROM demographic WHERE demographic.subject_id = "55094" |
give me the age and procedure short title of the patient with patient id 2560. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT demographic.age, procedures.short_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.subject_id = "2560" |
give me the number of patients diagnosed with morbid obesity/sda and the 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 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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.diagnosis = "MORBID OBESITY/SDA" AND lab.fluid = "Pleural" |
calculate the total number of patients with icd9 code 3782 on medicare insurance | 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 = "Medicare" AND procedures.icd9_code = "3782" |
Show the names of aircrafts that are associated with both an airport named 'London Heathrow' and an airport named 'London Gatwick | CREATE TABLE pilot (
pilot_id number,
name text,
age number
)
CREATE TABLE airport (
airport_id number,
airport_name text,
total_passengers number,
%_change_2007 text,
international_passengers number,
domestic_passengers number,
transit_passengers number,
aircraft_movements ... | SELECT T1.aircraft FROM aircraft AS T1 JOIN airport_aircraft AS T2 ON T1.aircraft_id = T2.aircraft_id JOIN airport AS T3 ON T2.airport_id = T3.airport_id WHERE T3.airport_name = "London Heathrow" INTERSECT SELECT T1.aircraft FROM aircraft AS T1 JOIN airport_aircraft AS T2 ON T1.aircraft_id = T2.aircraft_id JOIN airport... |
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 sum of manager_id bin hire_date by weekday. | CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
... | SELECT HIRE_DATE, SUM(MANAGER_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) |
For all employees who have the letters D or S in their first name, return a bar chart about the distribution of hire_date and the amount of hire_date bin hire_date by weekday. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_... | SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' |
what is the diagnosis icd9 code and diagnosis long title of subject id 65982? | 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 diagnoses.icd9_code, diagnoses.long_title FROM diagnoses WHERE diagnoses.subject_id = "65982" |
calculate the maximum age of patients who were hospitalized for 20 days and died before 2131. | 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 MAX(demographic.age) FROM demographic WHERE demographic.days_stay = "20" AND demographic.dod_year < "2131.0" |
Show the number of documents in different ending date Bin ending date by year interval and group by location code with a group line chart, show by the X from low to high. | CREATE TABLE Document_Locations (
Document_ID INTEGER,
Location_Code CHAR(15),
Date_in_Location_From DATETIME,
Date_in_Locaton_To DATETIME
)
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME,
Day_Number INTEGER
)
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER,
Destructio... | SELECT Date_in_Locaton_To, COUNT(Date_in_Locaton_To) FROM Document_Locations GROUP BY Location_Code ORDER BY Date_in_Locaton_To |
Count the number of patients taking drug via pb route with aortic insufficiency/re-do sternostomy aortic valve replacement as their primary disease. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.diagnosis = "AORTIC INSUFFICIENCY\RE-DO STERNOTOMY; AORTIC VALVE REPLACEMENT " AND prescriptions.route = "PB" |
Return a bar chart on how many hours do the students spend studying in each department? | CREATE TABLE PROFESSOR (
EMP_NUM int,
DEPT_CODE varchar(10),
PROF_OFFICE varchar(50),
PROF_EXTENSION varchar(4),
PROF_HIGH_DEGREE varchar(5)
)
CREATE TABLE DEPARTMENT (
DEPT_CODE varchar(10),
DEPT_NAME varchar(30),
SCHOOL_CODE varchar(8),
EMP_NUM int,
DEPT_ADDRESS varchar(20),
... | SELECT DEPT_CODE, SUM(STU_HRS) FROM STUDENT GROUP BY DEPT_CODE |
provide the number of patients whose year of birth is less than 1821 and drug route is left eye? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "1821" AND prescriptions.route = "LEFT EYE" |
how many patients are diagnosed with unspecified problem with head, neck, or trunk and treated with base drug type? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Unspecified problem with head, neck, or trunk" AND prescriptions.drug_type = "BASE" |
give me the number of patients whose age is less than 50 and diagnoses icd9 code is 34830? | 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.age < "50" AND diagnoses.icd9_code = "34830" |
what is the number of patients whose primary disease is stemi and admission year is less than 2155? | 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 = "STEMI" AND demographic.admityear < "2155" |
How many of the patients whose other body fluid was tested by lab died in or before the year 2111? | 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.dod_year <= "2111.0" AND lab.fluid = "Other Body Fluid" |
Calculate the average age of white ethnic background patients who were admitted in or after 2123. | 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 AVG(demographic.age) FROM demographic WHERE demographic.ethnicity = "WHITE" AND demographic.admityear >= "2123" |
For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about the average of employee_id over the hire_date bin hire_date by weekday by a bar chart. | CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(... | SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) |
Find the number of courses for each subject in a bar chart, and order by the x axis in ascending. | CREATE TABLE Students (
student_id INTEGER,
date_of_registration DATETIME,
date_of_latest_logon DATETIME,
login_name VARCHAR(40),
password VARCHAR(10),
personal_name VARCHAR(40),
middle_name VARCHAR(40),
family_name VARCHAR(40)
)
CREATE TABLE Student_Tests_Taken (
registration_id IN... | SELECT subject_name, COUNT(*) FROM Courses AS T1 JOIN Subjects AS T2 ON T1.subject_id = T2.subject_id GROUP BY T1.subject_id ORDER BY subject_name |
For those employees who do not work in departments with managers that have ids between 100 and 200, draw a bar chart about the distribution of phone_number and department_id . | 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 PHONE_NUMBER, DEPARTMENT_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) |
how many patients whose gender is f and diagnoses long title is acute diastolic heart failure? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescription... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "F" AND diagnoses.long_title = "Acute diastolic heart failure" |
For those employees who do not work in departments with managers that have ids between 100 and 200, return a bar chart about the distribution of hire_date and the average of salary bin hire_date by time. | CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE... | SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) |
give me the number of patients whose ethnicity is american indian/alaska native and their lab test is d-dimer. | 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.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" AND lab.label = "D-Dimer" |
For those employees who did not have any job in the past, visualize a line chart about the change of salary over hire_date , order by the x-axis from high to low please. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
... | SELECT HIRE_DATE, SALARY FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY HIRE_DATE DESC |
how many married patients have 17 as their procedure icd9 code? | 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.marital_status = "MARRIED" AND procedures.icd9_code = "17" |
Among patients admitted before 2151, how many of them had item ID 51100? | 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.admityear < "2151" AND lab.itemid = "51100" |
what is admission time of subject id 6983? | 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 demographic.admittime FROM demographic WHERE demographic.subject_id = "6983" |
specify the primary disease and icd9 code of patient id 2110 | 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.diagnosis, procedures.long_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.subject_id = "2110" |
give me the number of patients on allopurinol prescription who were admitted in hospital before 2174. | 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.admityear < "2174" AND prescriptions.drug = "Allopurinol" |
For those employees who was hired before 2002-06-21, for commission_pct, hire_date, visualize the trend. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varcha... | SELECT HIRE_DATE, COMMISSION_PCT FROM employees WHERE HIRE_DATE < '2002-06-21' |
Show me the number of patients who were ordered to get urine lab test and died in 2111 or before that. | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dod_year <= "2111.0" AND lab.fluid = "Urine" |
A pie chart for returning the number of the lot details of lots that belong to investors with details 'l'? | CREATE TABLE Ref_Transaction_Types (
transaction_type_code VARCHAR(10),
transaction_type_description VARCHAR(80)
)
CREATE TABLE Transactions_Lots (
transaction_id INTEGER,
lot_id INTEGER
)
CREATE TABLE Transactions (
transaction_id INTEGER,
investor_id INTEGER,
transaction_type_code VARCHA... | SELECT lot_details, COUNT(lot_details) FROM Investors AS T1 JOIN Lots AS T2 ON T1.investor_id = T2.investor_id WHERE T1.Investor_details = "l" GROUP BY lot_details |
how many patients whose age is less than 85 and lab test name is other cells? | 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.age < "85" AND lab.label = "Other Cells" |
how many patients whose gender is m and days of hospital stay is greater than 5? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.days_stay > "5" |
Which player get the highest score in 1971? | 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 number,
league_id text,
player_id text,
points_won number,
points_max number,
votes_first text
)
CREAT... | SELECT player_id FROM player_award_vote WHERE year = "1971" ORDER BY points_won DESC LIMIT 1 |
What is the campus fee in the year 2000 for San Jose State University? | CREATE TABLE campuses (
id number,
campus text,
location text,
county text,
year number
)
CREATE TABLE degrees (
year number,
campus number,
degrees number
)
CREATE TABLE discipline_enrollments (
campus number,
discipline number,
year number,
undergraduate number,
g... | SELECT t1.campusfee FROM csu_fees AS t1 JOIN campuses AS t2 ON t1.campus = t2.id WHERE t2.campus = "San Jose State University" AND t1.year = 2000 |
give the admission type and drug type of subject id 2560. | 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_type, prescriptions.drug_type FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.subject_id = "2560" |
give me the number of patients whose admission type is elective and drug code is warf25? | 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 = "ELECTIVE" AND prescriptions.formulary_drug_cd = "WARF25" |
what is insurance and death status of subject name wayne shelton? | 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.insurance, demographic.expire_flag FROM demographic WHERE demographic.name = "Wayne Shelton" |
Show the number of male and female assistant professors Plot them as bar chart, and I want to display y axis in descending order. | CREATE TABLE Participates_in (
stuid INTEGER,
actid INTEGER
)
CREATE TABLE Activity (
actid INTEGER,
activity_name varchar(25)
)
CREATE TABLE Faculty_Participates_in (
FacID INTEGER,
actid INTEGER
)
CREATE TABLE Faculty (
FacID INTEGER,
Lname VARCHAR(15),
Fname VARCHAR(15),
Ra... | SELECT Sex, COUNT(*) FROM Faculty WHERE Rank = "AsstProf" GROUP BY Sex ORDER BY COUNT(*) DESC |
find the drug route for the drug named buspirone. | 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 prescriptions.route FROM prescriptions WHERE prescriptions.drug = "BusPIRone" |
Return the lot details, group the lot details, and compute the number of each lot details, list X-axis from low to high order please. | CREATE TABLE Purchases (
purchase_transaction_id INTEGER,
purchase_details VARCHAR(255)
)
CREATE TABLE Ref_Transaction_Types (
transaction_type_code VARCHAR(10),
transaction_type_description VARCHAR(80)
)
CREATE TABLE Sales (
sales_transaction_id INTEGER,
sales_details VARCHAR(255)
)
CREATE T... | SELECT lot_details, COUNT(lot_details) FROM Lots GROUP BY lot_details ORDER BY lot_details |
count the number of patients less than 89 years who have lab test item id 50953. | 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.age < "89" AND lab.itemid = "50953" |
what is the insurance of the patient name jerry deberry? | 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.insurance FROM demographic WHERE demographic.name = "Jerry Deberry" |
how many patients whose gender is m and year of birth is less than 1846? | 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.gender = "M" AND demographic.dob_year < "1846" |
give me the number of patients whose death status is 0 and procedure icd9 code is 4513? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "0" AND procedures.icd9_code = "4513" |
For those employees who did not have any job in the past, return a bar chart about the distribution of hire_date and the sum of employee_id bin hire_date by weekday. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY ... | SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) |
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 by a bar chart, and show by the y-axis 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 employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
... | SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY SUM(EMPLOYEE_ID) |
Give me a histogram for how many students are older than 20 in each dorm?, display by the names from low to high. | CREATE TABLE Student (
StuID INTEGER,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
CREATE TABLE Dorm_amenity (
amenid INTEGER,
amenity_name VARCHAR(25)
)
CREATE TABLE Lives_in (
stuid INTEGER,
... | SELECT dorm_name, COUNT(*) FROM Student AS T1 JOIN Lives_in AS T2 ON T1.stuid = T2.stuid JOIN Dorm AS T3 ON T3.dormid = T2.dormid WHERE T1.Age > 20 GROUP BY T3.dorm_name ORDER BY dorm_name |
provide the number of patients whose days of hospital stay is greater than 16 and drug name is prismasate (b32 k2)? | 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "16" AND prescriptions.drug = "Prismasate (B32 K2)" |
what is the number of government health insurance patients who had biopsy of tonsils and adenoids procedure? | 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.insurance = "Government" AND procedures.long_title = "Biopsy of tonsils and adenoids" |
how many patients whose lab test name is renal epithelial cells? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic ... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.label = "Renal Epithelial Cells" |
Draw a bar chart for what are the department names and how many employees work in each of them?, sort the total number from low to high order. | 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),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
... | SELECT DEPARTMENT_NAME, COUNT(*) FROM employees AS T1 JOIN departments AS T2 ON T1.DEPARTMENT_ID = T2.DEPARTMENT_ID GROUP BY DEPARTMENT_NAME ORDER BY COUNT(*) |
give the number of male patients who had the procedure for insertion of non-drug-eluting coronaryartery stent(s). | 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.gender = "M" AND procedures.long_title = "Insertion of non-drug-eluting coronary artery stent(s)" |
how many female patients are admitted before the year 2105? | 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.gender = "F" AND demographic.admityear < "2105" |
provide the number of patients whose insurance is government and lab test name is wbc, joint fluid? | 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 = "Government" AND lab.label = "WBC, Joint Fluid" |
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, show me about the distribution of job_id and the sum of manager_id , and group by attribute job_id in a bar chart, order in asc by the Y. | CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
... | SELECT JOB_ID, SUM(MANAGER_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID ORDER BY SUM(MANAGER_ID) |
how many patients were diagnosed with fall on stair/step nec? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.short_title = "Fall on stair/step NEC" |
how many patients whose death status is 0 and drug name is venlafaxine xr? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob te... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.expire_flag = "0" AND prescriptions.drug = "Venlafaxine XR" |
give me the number of patients less than 50 years who have diagnoses icd9 code 5849. | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "50" AND diagnoses.icd9_code = "5849" |
For those employees who did not have any job in the past, a bar chart shows the distribution of job_id and the amount of job_id , and group by attribute job_id, and show X-axis in asc order 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 countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE T... | SELECT JOB_ID, COUNT(JOB_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID ORDER BY JOB_ID |
What is the item id of Paul Edwards? | 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 lab.itemid FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.name = "Paul Edwards" |
what is drug route of drug name sodium phosphate? | 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 prescriptions.route FROM prescriptions WHERE prescriptions.drug = "Sodium Phosphate" |
give me the number of patients whose gender is f and drug name is nitroglycerin? | 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.drug = "Nitroglycerin" |
tell me the number of patients who were diagnosed with long-term use of steroids. | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.short_title = "Long-term use steroids" |
what is average age of patients whose admission type is emergency and primary disease is posterior communicating aneurysm/sda? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
C... | SELECT AVG(demographic.age) FROM demographic WHERE demographic.admission_type = "EMERGENCY" AND demographic.diagnosis = "POSTERIOR COMMUNICATING ANEURYSM/SDA" |
how many patients were diagnosised as cardiac arrest by long title and had delta lab test results? | 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 = "Cardiac arrest" AND lab.flag = "delta" |
How many patients with opn rt hemicolectomy nec remained admitted in hospital for more than 7 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 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.days_stay > "7" AND procedures.short_title = "Opn rt hemicolectomy NEC" |
what is the name of the disease that dawn cooper is primarily suffering from? also find his admission type. | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
C... | SELECT demographic.admission_type, demographic.diagnosis FROM demographic WHERE demographic.name = "Dawn Cooper" |
What are the different budget type codes, and how many documents are there for each Plot them as bar chart, and display bar from low to high order. | CREATE TABLE Accounts (
Account_ID INTEGER,
Statement_ID INTEGER,
Account_Details VARCHAR(255)
)
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15),
Budget_Type_Description VARCHAR(255)
)
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15),
Document_Type_Name VARCHAR(255),... | SELECT Budget_Type_Code, COUNT(*) FROM Documents_with_Expenses GROUP BY Budget_Type_Code ORDER BY Budget_Type_Code |
give me the number of patients whose year of death is less than or equal to 2126 and procedure short title is umbilical vein cath? | 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.dod_year <= "2126.0" AND procedures.short_title = "Umbilical vein cath" |
give me the number of patients whose primary disease is transient ischemic attack and days of hospital stay is greater than 4? | 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.diagnosis = "TRANSIENT ISCHEMIC ATTACK" AND demographic.days_stay > "4" |
Show the average room count of the apartments that have booking status code 'Provisional'. | CREATE TABLE guests (
guest_id number,
gender_code text,
guest_first_name text,
guest_last_name text,
date_of_birth time
)
CREATE TABLE view_unit_status (
apt_id number,
apt_booking_id number,
status_date time,
available_yn others
)
CREATE TABLE apartment_bookings (
apt_booking... | SELECT AVG(room_count) FROM apartment_bookings AS T1 JOIN apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T1.booking_status_code = "Provisional" |
how many patients with tietze's disease are insured by the government? | 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.insurance = "Government" AND diagnoses.long_title = "Tietze's disease" |
To how many patients on urgent admission were d5w (excel bag) administered? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "URGENT" AND prescriptions.drug = "D5W (EXCEL BAG)" |
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 , list by the names in asc. | 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 EMAIL, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY EMAIL |
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