instruction stringlengths 11 446 | input stringlengths 195 2.3k | response stringlengths 26 460 |
|---|---|---|
give me the number of patients whose diagnoses long title is benign neoplasm of spinal meninges and drug type is base? | 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 = "Benign neoplasm of spinal meninges" AND prescriptions.drug_type = "BASE" |
how many patients whose primary disease is celo-vessicle fistula and age is less than 27? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "CELO-VESSICLE FISTULA" AND demographic.age < "27" |
For those employees who was hired before 2002-06-21, return a line chart about the change of commission_pct over hire_date , and could you sort by the x-axis from low to high? | 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 job_history (
EMPLOYEE... | SELECT HIRE_DATE, COMMISSION_PCT FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY HIRE_DATE |
For all employees who have the letters D or S in their first name, find job_id and the average of manager_id , and group by attribute job_id, and visualize them by a bar chart, order mean manager id from low to high order please. | CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
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(2... | SELECT JOB_ID, AVG(MANAGER_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY AVG(MANAGER_ID) |
count the number of patients whose days of hospital stay is greater than 30 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.days_stay > "30" AND lab.label = "Heparin, LMW" |
provide the number of patients whose diagnoses short title is subtrochanteric fx-close and drug route is left eye? | 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.short_title = "Subtrochanteric fx-close" AND prescriptions.route = "LEFT EYE" |
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, visualize a bar chart about the distribution of job_id and the sum of manager_id , and group by attribute job_id, order in asc by the Y. | CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID... | 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) |
Find Nationality and the sum of meter_100 , and group by attribute Nationality, and visualize them by a bar chart, and rank from low to high by the Y-axis. | CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
)
CREATE TABLE record (
ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
CREATE TABLE swimme... | SELECT Nationality, SUM(meter_100) FROM swimmer GROUP BY Nationality ORDER BY SUM(meter_100) |
provide the number of patients with diagnoses icd9 code 5781 who have been admitted for more than 16 days in hospital. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "16" AND diagnoses.icd9_code = "5781" |
what is the number of patients with abnormal lab test status who were less than 62 years of age? | 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 < "62" AND lab.flag = "abnormal" |
monte carlo simulation papers published after 2011 | CREATE TABLE field (
fieldid int
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE... | SELECT DISTINCT paper.paperid FROM keyphrase, paper, paperkeyphrase WHERE keyphrase.keyphrasename = 'monte carlo simulation' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND paper.year > 2011 |
Look for the number of patients with brain mass intracranial hemorrhage as their primary disease who were born before 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 procedures (
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "BRAIN MASS;INTRACRANIAL HEMORRHAGE" AND demographic.dob_year < "2180" |
give me the number of office admitted patients who had endoscopic retrograde cholangiopancreatography procedure. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND procedures.short_title = "Endosc retro cholangiopa" |
what is the number of patients whose age is less than 76 and drug name is norepinephrine? | 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 < "76" AND prescriptions.drug = "NORepinephrine" |
return me the paper in Databases area with the most citations . | CREATE TABLE domain_keyword (
did int,
kid int
)
CREATE TABLE cite (
cited int,
citing int
)
CREATE TABLE publication (
abstract varchar,
cid int,
citation_num int,
jid int,
pid int,
reference_num int,
title varchar,
year int
)
CREATE TABLE domain (
did int,
na... | SELECT publication.title FROM domain, domain_publication, publication WHERE domain.did = domain_publication.did AND domain.name = 'Databases' AND publication.pid = domain_publication.pid ORDER BY publication.citation_num DESC LIMIT 1 |
Give the number of patients who were born before the year 2065 and have a procedure icd9 code as 9604? | 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.dob_year < "2065" AND procedures.icd9_code = "9604" |
what is the number of emergency hospital admission patients who had aortography? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND procedures.long_title = "Aortography" |
What is the average price of the products for each category, list y axis from low to high order. | CREATE TABLE Customers (
customer_id INTEGER,
customer_type_code VARCHAR(20),
address_line_1 VARCHAR(80),
address_line_2 VARCHAR(80),
town_city VARCHAR(80),
state VARCHAR(80),
email_address VARCHAR(255),
phone_number VARCHAR(80)
)
CREATE TABLE Products (
product_id INTEGER,
pare... | SELECT product_category_code, AVG(product_price) FROM Products GROUP BY product_category_code ORDER BY AVG(product_price) |
Show the number of documents in each day for all documents on project with details 'Graph Database project' and bin document date by year interval with a line chart. | CREATE TABLE Documents (
Document_ID INTEGER,
Document_Type_Code CHAR(15),
Project_ID INTEGER,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255)
)
CREATE TABLE Statements (
Statement_ID INTEGER,
Statement_Details VARCHA... | SELECT Document_Date, COUNT(Document_Date) FROM Documents AS T1 JOIN Projects AS T2 ON T1.Project_ID = T2.Project_ID WHERE T2.Project_Details = 'Graph Database project' |
For employees without the letter M in their first name, give me a line chart to show the salary change over their hire date using a line chart, and I want to sort by the X-axis from high to low 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 HIRE_DATE, SALARY FROM employees WHERE NOT FIRST_NAME LIKE '%M%' ORDER BY HIRE_DATE DESC |
Among patients with icd9 code 4341, calculate the number of those who died in or before the year 2115. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dod_year <= "2115.0" AND procedures.icd9_code = "4341" |
how many elective hospital admission patients have sarcoidosis diagnoses? | 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 = "ELECTIVE" AND diagnoses.long_title = "Sarcoidosis" |
give the number of patients whose admission type is urgent and procedure icd9 code is 8968? | 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.admission_type = "URGENT" AND procedures.icd9_code = "8968" |
Show me a bar chart for what are the department names and how many employees work in each of them?, could you list in asc by the bars? | CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID... | 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 DEPARTMENT_NAME |
what is discharge time of subject id 65759? | 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.dischtime FROM demographic WHERE demographic.subject_id = "65759" |
what is the number of patients whose age is less than 55 and drug code is warf1? | 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.age < "55" AND prescriptions.formulary_drug_cd = "WARF1" |
What is the location name of the document 'Robin CV'? | CREATE TABLE documents_to_be_destroyed (
document_id number,
destruction_authorised_by_employee_id number,
destroyed_by_employee_id number,
planned_destruction_date time,
actual_destruction_date time,
other_details text
)
CREATE TABLE ref_document_types (
document_type_code text,
docume... | SELECT T3.location_name FROM all_documents AS T1 JOIN document_locations AS T2 ON T1.document_id = T2.document_id JOIN ref_locations AS T3 ON T2.location_code = T3.location_code WHERE T1.document_name = "Robin CV" |
A bar chart shows the distribution of personal_name and gender_mf . | CREATE TABLE Courses (
course_id INTEGER,
author_id INTEGER,
subject_id INTEGER,
course_name VARCHAR(120),
course_description VARCHAR(255)
)
CREATE TABLE Students (
student_id INTEGER,
date_of_registration DATETIME,
date_of_latest_logon DATETIME,
login_name VARCHAR(40),
password... | SELECT personal_name, gender_mf FROM Course_Authors_and_Tutors ORDER BY personal_name |
calculate the number of patients born before 1879 ere tranferred within the facility. | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" AND demographic.dob_year < "1879" |
what number of patients with private insurance have been diagnosed with pressure ulcer, unstageable? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Private" AND diagnoses.long_title = "Pressure ulcer, unstageable" |
what is the number of patients whose gender is m and year of birth is less than 2060? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.dob_year < "2060" |
what is days of hospital stay and diagnoses short title of subject id 87275? | 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 demographic.days_stay, diagnoses.short_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "87275" |
Show all distinct location names. | CREATE TABLE ref_attraction_types (
attraction_type_code text,
attraction_type_description text
)
CREATE TABLE features (
feature_id number,
feature_details text
)
CREATE TABLE tourist_attraction_features (
tourist_attraction_id number,
feature_id number
)
CREATE TABLE staff (
staff_id nu... | SELECT DISTINCT location_name FROM locations |
How many apartment bookings for each weekday? Draw a bar chart binning booking start date by weekday interval, I want to list by the total number from low to high. | CREATE TABLE Apartment_Facilities (
apt_id INTEGER,
facility_code CHAR(15)
)
CREATE TABLE Apartments (
apt_id INTEGER,
building_id INTEGER,
apt_type_code CHAR(15),
apt_number CHAR(10),
bathroom_count INTEGER,
bedroom_count INTEGER,
room_count CHAR(5)
)
CREATE TABLE Apartment_Bookin... | SELECT booking_start_date, COUNT(booking_start_date) FROM Apartment_Bookings AS T1 JOIN Guests AS T2 ON T1.guest_id = T2.guest_id ORDER BY COUNT(booking_start_date) |
Just show the first name of the employee and list their manager's id in the Y-axis of the bar chart, I want to order in ascending by the Y-axis please. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
... | SELECT FIRST_NAME, MANAGER_ID FROM employees ORDER BY MANAGER_ID |
How many of the patients born before 2083 have confirmed death status? | 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 WHERE demographic.expire_flag = "1" AND demographic.dob_year < "2083" |
give me the number of patients whose year of birth is less than 2110 and lab test name is bands? | 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 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.dob_year < "2110" AND lab.label = "Bands" |
get me the number of patients less than 70 years who take drug via inhalation. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "70" AND prescriptions.route = "INHALATION" |
give me the number of patients whose year of death is less than or equal to 2132 and drug name is sertraline? | 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.dod_year <= "2132.0" AND prescriptions.drug = "Sertraline" |
For all employees who have the letters D or S in their first name, give me the comparison about the amount of job_id over the job_id , and group by attribute job_id, and show from high to low by the y axis please. | CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(... | SELECT JOB_ID, COUNT(JOB_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY COUNT(JOB_ID) DESC |
how many patients are diagnosed with complete heart block and are born beforre 2200? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "COMPLETE HEART BLOCK" AND demographic.dob_year < "2200" |
Find the number of skilled nursing facility discharged patients who had coronary artery disease/coronary artery bypass graft with mvr maze 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 WHERE demographic.discharge_location = "SNF" AND demographic.diagnosis = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT WITH MVR; ? MAZE" |
Find the transaction type descriptions and dates if the share count is smaller than 10, group by transaction type, count the date of transaction, and bin the date into the weekday interval, I want to order by the total number from low to high please. | CREATE TABLE Transactions (
transaction_id INTEGER,
investor_id INTEGER,
transaction_type_code VARCHAR(10),
date_of_transaction DATETIME,
amount_of_transaction DECIMAL(19,4),
share_count VARCHAR(40),
other_details VARCHAR(255)
)
CREATE TABLE Ref_Transaction_Types (
transaction_type_code... | SELECT T2.date_of_transaction, COUNT(T2.date_of_transaction) FROM Ref_Transaction_Types AS T1 JOIN Transactions AS T2 ON T1.transaction_type_code = T2.transaction_type_code WHERE T2.share_count < 10 GROUP BY transaction_type_description ORDER BY COUNT(date_of_transaction) |
tell me the time of admission and gender of patient erik dickerson. | 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 demographic.gender, demographic.admittime FROM demographic WHERE demographic.name = "Erik Dickerson" |
For those employees who did not have any job in the past, give me the trend about department_id over hire_date , I want to order in desc by the X-axis. | 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 countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
... | SELECT HIRE_DATE, DEPARTMENT_ID FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY HIRE_DATE DESC |
Bar chart x axis date of enrolment y axis the number of date of enrolment, and list y axis from low to high order. | CREATE TABLE Courses (
course_id INTEGER,
author_id INTEGER,
subject_id INTEGER,
course_name VARCHAR(120),
course_description VARCHAR(255)
)
CREATE TABLE Student_Tests_Taken (
registration_id INTEGER,
date_test_taken DATETIME,
test_result VARCHAR(255)
)
CREATE TABLE Subjects (
subj... | SELECT date_of_enrolment, COUNT(date_of_enrolment) FROM Student_Course_Enrolment ORDER BY COUNT(date_of_enrolment) |
Give me a bar chart that groups and counts the years played for players from team 'Columbus Crew', list Years_Played from high to low order. | CREATE TABLE country (
Country_id int,
Country_name text,
Capital text,
Official_native_language text
)
CREATE TABLE team (
Team_id int,
Name text
)
CREATE TABLE player (
Player_ID int,
Player text,
Years_Played text,
Total_WL text,
Singles_WL text,
Doubles_WL text,
... | SELECT Years_Played, COUNT(Years_Played) FROM player AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Columbus Crew" GROUP BY Years_Played ORDER BY Years_Played DESC |
What are the payment date of the payment with amount paid higher than 300 or with payment type is 'Check, and count them by a line chart | CREATE TABLE View_Product_Availability (
product_id INTEGER,
booking_id INTEGER,
status_date DATETIME,
available_yn VARCHAR(1)
)
CREATE TABLE Discount_Coupons (
coupon_id INTEGER,
date_issued DATETIME,
coupon_amount DECIMAL(19,4)
)
CREATE TABLE Products_for_Hire (
product_id INTEGER,
... | SELECT payment_date, COUNT(payment_date) FROM Payments WHERE amount_paid > 300 OR payment_type_code = 'Check' GROUP BY payment_date |
what is drug type and drug name of drug code metd5? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT prescriptions.drug_type, prescriptions.drug FROM prescriptions WHERE prescriptions.formulary_drug_cd = "METD5" |
Visualize a bar chart for what are total transaction amounts for each transaction type?, and sort X in asc order please. | CREATE TABLE Product_Categories (
production_type_code VARCHAR(15),
product_type_description VARCHAR(80),
vat_rating DECIMAL(19,4)
)
CREATE TABLE Customers (
customer_id INTEGER,
customer_first_name VARCHAR(50),
customer_middle_initial VARCHAR(1),
customer_last_name VARCHAR(50),
gender ... | SELECT transaction_type, SUM(transaction_amount) FROM Financial_Transactions GROUP BY transaction_type ORDER BY transaction_type |
how many patients aged below 85 years are black/haitian? | 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 = "BLACK/HAITIAN" AND demographic.age < "85" |
how many patients are single and diagnosed with syncope and collapse? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.marital_status = "SINGLE" AND diagnoses.long_title = "Syncope and collapse" |
count the number of patients whose insurance is private and diagnosis long title is fever presenting with conditions classified elsewhere. | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Private" AND diagnoses.long_title = "Fever presenting with conditions classified elsewhere" |
what is discharge location of subject id 2560? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions... | SELECT demographic.discharge_location FROM demographic WHERE demographic.subject_id = "2560" |
how many female patients are diagnosed with primary diesease st elevated myocardial infarction\cardiac cath? | 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 lab (
subject_id text,
hadm_id text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.diagnosis = "ST ELEVATED MYOCARDIAL INFARCTION\CARDIAC CATH" |
Show each apartment type code, and the maximum and minimum number of rooms for each type. | CREATE TABLE apartment_facilities (
apt_id number,
facility_code text
)
CREATE TABLE apartments (
apt_id number,
building_id number,
apt_type_code text,
apt_number text,
bathroom_count number,
bedroom_count number,
room_count text
)
CREATE TABLE guests (
guest_id number,
ge... | SELECT apt_type_code, MAX(room_count), MIN(room_count) FROM apartments GROUP BY apt_type_code |
what is the number of patients whose admission year is less than 2151 and lab test category is chemistry? | 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."CATEGORY" = "Chemistry" |
Please show the trend about the number of days with max temperature reaches 80 change over dates, display x axis from low to high order. | CREATE TABLE trip (
id INTEGER,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE station (
id INTEG... | SELECT date, COUNT(date) FROM weather WHERE max_temperature_f >= 80 GROUP BY date ORDER BY date |
Find the number of users in each role Plot them as bar chart, display total number from low to high order please. | CREATE TABLE Users (
user_id INTEGER,
role_code VARCHAR(15),
user_name VARCHAR(40),
user_login VARCHAR(40),
password VARCHAR(40)
)
CREATE TABLE Document_Sections_Images (
section_id INTEGER,
image_id INTEGER
)
CREATE TABLE Document_Structures (
document_structure_code VARCHAR(15),
... | SELECT role_code, COUNT(*) FROM Users GROUP BY role_code ORDER BY COUNT(*) |
What is the sum of Natural Change, when Natural Change (Per 1000) is greater than 5.4, when Crude Death Rate (Per 1000) is less than 14.3, when Live Births is less than 6,950, and when Crude Birth Rate (Per 1000) is less than 28.2? | CREATE TABLE table_40965 (
"Average population (x 1000)" real,
"Live births" real,
"Deaths" real,
"Natural change" real,
"Crude birth rate (per 1000)" real,
"Crude death rate (per 1000)" real,
"Natural change (per 1000)" real
) | SELECT SUM("Natural change") FROM table_40965 WHERE "Natural change (per 1000)" > '5.4' AND "Crude death rate (per 1000)" < '14.3' AND "Live births" < '6,950' AND "Crude birth rate (per 1000)" < '28.2' |
For those employees who did not have any job in the past, visualize a bar chart about the distribution of job_id and the average of manager_id , and group by attribute job_id, and display Y-axis in asc order. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
... | SELECT JOB_ID, AVG(MANAGER_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID ORDER BY AVG(MANAGER_ID) |
What is the date of birth of every customer whose status code is 'Good Customer', and count them by a bar chart, I want to rank by the total number from low to high. | CREATE TABLE Lessons (
lesson_id INTEGER,
customer_id INTEGER,
lesson_status_code VARCHAR(15),
staff_id INTEGER,
vehicle_id INTEGER,
lesson_date DATETIME,
lesson_time VARCHAR(10),
price DOUBLE
)
CREATE TABLE Staff (
staff_id INTEGER,
staff_address_id INTEGER,
nickname VARCHA... | SELECT date_of_birth, COUNT(date_of_birth) FROM Customers WHERE customer_status_code = 'Good Customer' ORDER BY COUNT(date_of_birth) |
What is the first name of the staff who did not give any lesson? | CREATE TABLE customer_payments (
customer_id number,
datetime_payment time,
payment_method_code text,
amount_payment number
)
CREATE TABLE staff (
staff_id number,
staff_address_id number,
nickname text,
first_name text,
middle_name text,
last_name text,
date_of_birth time,
... | SELECT first_name FROM staff EXCEPT SELECT T2.first_name FROM lessons AS T1 JOIN staff AS T2 ON T1.staff_id = T2.staff_id |
Specify the type and route of adminsitration for the drug Famvir | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
... | SELECT prescriptions.drug_type, prescriptions.route FROM prescriptions WHERE prescriptions.drug = "Famvir" |
how many patients admitted before 2155 are diagnosed with other specified gastritis, with hemorrhage? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2155" AND diagnoses.long_title = "Other specified gastritis, with hemorrhage" |
provide the number of patients whose age is less than 81 and days of hospital stay is greater than 11? | 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.age < "81" AND demographic.days_stay > "11" |
how many patients younger than 85 years of age lab tested for other cells? | 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 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.age < "85" AND lab.label = "Other Cells" |
what is the maximum age of black/african american patients who are above 44 years of age? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT MAX(demographic.age) FROM demographic WHERE demographic.ethnicity = "BLACK/AFRICAN AMERICAN" AND demographic.age >= "44" |
Visualize a bar chart for showing the total number of different product type codes, and could you order in descending by the names? | CREATE TABLE Agreements (
Document_ID INTEGER,
Event_ID INTEGER
)
CREATE TABLE Assets (
Asset_ID INTEGER,
Other_Details VARCHAR(255)
)
CREATE TABLE Finances (
Finance_ID INTEGER,
Other_Details VARCHAR(255)
)
CREATE TABLE Locations (
Location_ID INTEGER,
Other_Details VARCHAR(255)
)
C... | SELECT Product_Type_Code, COUNT(Product_Type_Code) FROM Products GROUP BY Product_Type_Code ORDER BY Product_Type_Code DESC |
count the number of patients whose diagnoses icd9 code is 481 and lab test fluid is blood? | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "481" AND lab.fluid = "Blood" |
Which claim processing stage has the most claims? Show the claim status name. | CREATE TABLE claim_headers (
claim_header_id number,
claim_status_code text,
claim_type_code text,
policy_id number,
date_of_claim time,
date_of_settlement time,
amount_claimed number,
amount_piad number
)
CREATE TABLE customers (
customer_id number,
customer_details text
)
CRE... | SELECT t2.claim_status_name FROM claims_processing AS t1 JOIN claims_processing_stages AS t2 ON t1.claim_stage_id = t2.claim_stage_id GROUP BY t1.claim_stage_id ORDER BY COUNT(*) DESC LIMIT 1 |
how many patients have stayed in the hospital for more than 27 days and whose discharge location was rehab/distinct part hospital? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE 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 WHERE demographic.discharge_location = "REHAB/DISTINCT PART HOSP" AND demographic.days_stay > "27" |
How many employees are there? | CREATE TABLE lessons (
lesson_id number,
customer_id number,
lesson_status_code text,
staff_id number,
vehicle_id number,
lesson_date time,
lesson_time text,
price number
)
CREATE TABLE addresses (
address_id number,
line_1_number_building text,
city text,
zip_postcode t... | SELECT COUNT(*) FROM staff |
what is date of birth and primary disease of subject name gus marques? | 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.dob, demographic.diagnosis FROM demographic WHERE demographic.name = "Gus Marques" |
What are the student IDs and middle names of the students enrolled in at most two courses. | CREATE TABLE Courses (
course_id INTEGER,
author_id INTEGER,
subject_id INTEGER,
course_name VARCHAR(120),
course_description VARCHAR(255)
)
CREATE TABLE Student_Tests_Taken (
registration_id INTEGER,
date_test_taken DATETIME,
test_result VARCHAR(255)
)
CREATE TABLE Students (
stud... | SELECT T2.middle_name, T1.student_id FROM Student_Course_Enrolment AS T1 JOIN Students AS T2 ON T1.student_id = T2.student_id |
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 weekday, and sort by the Y-axis in desc please. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),... | SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY AVG(SALARY) DESC |
For those employees who do not work in departments with managers that have ids between 100 and 200, find hire_date and the average of manager_id bin hire_date by time, and visualize them by a bar chart, and could you sort Y-axis in ascending order? | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0... | SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY AVG(MANAGER_ID) |
Find the total amount claimed in the most recently created document. | CREATE TABLE claims_processing (
claim_processing_id number,
claim_id number,
claim_outcome_code text,
claim_stage_id number,
staff_id number
)
CREATE TABLE policies (
policy_id number,
customer_id number,
policy_type_code text,
start_date time,
end_date time
)
CREATE TABLE cla... | SELECT SUM(t1.amount_claimed) FROM claim_headers AS t1 JOIN claims_documents AS t2 ON t1.claim_header_id = t2.claim_id WHERE t2.created_date = (SELECT created_date FROM claims_documents ORDER BY created_date LIMIT 1) |
Find all Bars in Dallas | CREATE TABLE category (
id int,
business_id varchar,
category_name varchar
)
CREATE TABLE review (
rid int,
business_id varchar,
user_id varchar,
rating float,
text longtext,
year int,
month varchar
)
CREATE TABLE business (
bid int,
business_id varchar,
name varcha... | SELECT business.name FROM business, category WHERE business.city = 'Dallas' AND category.business_id = business.business_id AND category.category_name = 'Bars' |
what number of patients under the age of 27 underwent the lab test for creatine kinase (ck)? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "27" AND lab.label = "Creatine Kinase (CK)" |
What about the average amounts of payments by each method code? You can give me a bar chart. | CREATE TABLE Payments (
Payment_ID INTEGER,
Settlement_ID INTEGER,
Payment_Method_Code VARCHAR(255),
Date_Payment_Made DATE,
Amount_Payment INTEGER
)
CREATE TABLE Customer_Policies (
Policy_ID INTEGER,
Customer_ID INTEGER,
Policy_Type_Code CHAR(15),
Start_Date DATE,
End_Date DAT... | SELECT Payment_Method_Code, AVG(Amount_Payment) FROM Payments GROUP BY Payment_Method_Code |
what number of patients with diagnoses titled acq coagul factor had drug route neb? | 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.short_title = "Acq coagul factor defic" AND prescriptions.route = "NEB" |
provide the number of patients whose gender is f and procedure short title is iv infusion clofarabine? | 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.gender = "F" AND procedures.short_title = "IV infusion clofarabine" |
give me the number of patients whose admission type is newborn? | 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 = "NEWBORN" |
For all employees who have the letters D or S in their first name, find job_id and the sum of employee_id , and group by attribute job_id, and visualize them by a bar chart, display in descending by the sum employee id. | CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(... | SELECT JOB_ID, SUM(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY SUM(EMPLOYEE_ID) DESC |
Get the admission time and procedure icd9 code for the patient with patient id 2560. | 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 demographic.admittime, procedures.icd9_code FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.subject_id = "2560" |
provide the number of patients whose year of birth is less than 2047 and lab test fluid is cerebrospinal fluid (csf)? | 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 < "2047" AND lab.fluid = "Cerebrospinal Fluid (CSF)" |
count the number of patients whose marital status is widowed and diagnoses long title is other preterm infants, 750-999 grams? | 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.marital_status = "WIDOWED" AND diagnoses.long_title = "Other preterm infants, 750-999 grams" |
How many patients with coronary artery disease or coronary artery bypass graft myomectomy (sda) as their primary disease stayed at hospital for more than a day? | 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 = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT; MYOMECTOMY/SDA" AND demographic.days_stay > "0" |
Show me a bar chart for how many total credits are offered by each department? | CREATE TABLE instructor (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
salary numeric(8,2)
)
CREATE TABLE takes (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
grade varchar(2)
)
CREATE TABLE prereq (
course_id va... | SELECT dept_name, SUM(credits) FROM course GROUP BY dept_name |
calculate the total number of patients admitted to emergency with major depressive affective disorder, recurrent episode, severe, specified as with psychotic behavior | 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.admission_type = "EMERGENCY" AND diagnoses.long_title = "Major depressive affective disorder, recurrent episode, severe, specified as with psychotic behavior" |
what is age and discharge time of subject id 74032? | 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 demographic.age, demographic.dischtime FROM demographic WHERE demographic.subject_id = "74032" |
What is the date of birth and language of Kurt Buczek? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
... | SELECT demographic.dob, demographic.language FROM demographic WHERE demographic.name = "Kurt Buczek" |
For those employees who do not work in departments with managers that have ids between 100 and 200, show me about the distribution of hire_date and the sum of salary bin hire_date by time in a bar chart, I want to order by the y-axis in descending. | 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 countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0... | SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY SUM(SALARY) DESC |
Show the number of accounts opened in each day. Bin the account open day by weekday and group by other account details in a stacked bar chart. | CREATE TABLE Accounts (
account_id INTEGER,
customer_id INTEGER,
date_account_opened DATETIME,
account_name VARCHAR(50),
other_account_details VARCHAR(255)
)
CREATE TABLE Orders (
order_id INTEGER,
customer_id INTEGER,
date_order_placed DATETIME,
order_details VARCHAR(255)
)
CREATE... | SELECT date_account_opened, COUNT(date_account_opened) FROM Accounts GROUP BY other_account_details |
count the number of patients whose ethnicity is black/cape verdean and year of birth is less than 1821? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/CAPE VERDEAN" AND demographic.dob_year < "1821" |
give me the number of patients who had single internal mammary-coronary artery bypass. | 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.short_title = "1 int mam-cor art bypass" |
give me the number of patients whose primary disease is acute subdural hematoma and year of death is less than or equal to 2186? | 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 WHERE demographic.diagnosis = "ACUTE SUBDURAL HEMATOMA" AND demographic.dod_year <= "2186.0" |
return me the authors who have papers in the VLDB conference . | CREATE TABLE publication (
abstract varchar,
cid int,
citation_num int,
jid int,
pid int,
reference_num int,
title varchar,
year int
)
CREATE TABLE domain_author (
aid int,
did int
)
CREATE TABLE writes (
aid int,
pid int
)
CREATE TABLE publication_keyword (
kid in... | SELECT author.name FROM author, conference, publication, writes WHERE conference.name = 'VLDB' AND publication.cid = conference.cid AND writes.aid = author.aid AND writes.pid = publication.pid |
give me the number of patients whose age is less than 50 and diagnoses long title is acute vascular insufficiency of intestine? | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "50" AND diagnoses.long_title = "Acute vascular insufficiency of intestine" |
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