instruction stringlengths 11 446 | input stringlengths 195 2.3k | response stringlengths 26 460 |
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Show me a bar chart for how many faculty members does each building have? List the result with the name of the building, show from high to low by the x-axis. | 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),
Rank VARCHAR(15),
Sex VARCHAR(1),
Phone INTEGER,
Room VARCHAR... | SELECT Building, COUNT(*) FROM Faculty GROUP BY Building ORDER BY Building DESC |
how many patients stayed in hospital for more than 6 days and were procedured with diagnostic ultrasound? | 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "6" AND procedures.long_title = "Diagnostic ultrasound of heart" |
give me the number of patients whose admission type is urgent and admission year is less than 2194? | 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.admission_type = "URGENT" AND demographic.admityear < "2194" |
Show the number of stations installed change over the installation date of in station table using a line chart. | CREATE TABLE status (
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE weather (
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_... | SELECT installation_date, COUNT(installation_date) FROM station GROUP BY installation_date |
What is the number of patients less than 85 years old who have coronary artery disease or coronary artery bypass graft with mvr or maze 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.diagnosis = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT WITH MVR; ? MAZE" AND demographic.age < "85" |
Give the maximum age of patients of black/african american ethnicity who died before the year 2148. | 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 MAX(demographic.age) FROM demographic WHERE demographic.ethnicity = "BLACK/AFRICAN AMERICAN" AND demographic.dod_year < "2148.0" |
Draw a bar chart of last name versus department_id, and order from low to high by the X. | CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),... | SELECT LAST_NAME, DEPARTMENT_ID FROM employees ORDER BY LAST_NAME |
How many patients of white russian ethnicity had a procedure for dorsal and dorsolumbar fusion of the posterior column posterior technique? | 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.ethnicity = "WHITE - RUSSIAN" AND procedures.long_title = "Dorsal and dorsolumbar fusion of the posterior column, posterior technique" |
calculate the maximum age of patients with primary disease st-segment elevation myocardial infarction/cardiac catheterization who were discharged to home health care. | 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 MAX(demographic.age) FROM demographic WHERE demographic.discharge_location = "HOME" AND demographic.diagnosis = "ST-SEGMENT ELEVATION MYOCARDIAL INFARCTION\CARDIAC CATH" |
Which customers do not have any policies? Find the details of these customers. | CREATE TABLE customers (
customer_id number,
customer_details text
)
CREATE TABLE claims (
claim_id number,
policy_id number,
date_claim_made time,
date_claim_settled time,
amount_claimed number,
amount_settled number
)
CREATE TABLE payments (
payment_id number,
settlement_id n... | SELECT customer_details FROM customers EXCEPT SELECT T1.customer_details FROM customers AS T1 JOIN customer_policies AS T2 ON T1.customer_id = T2.customer_id |
give me the number of patients whose days of hospital stay is greater than 2 and lab test name is anion gap? | 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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "2" AND lab.label = "Anion Gap" |
Where does Peter Mertens publish ? | CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE paperfield (
fieldid int,
... | SELECT DISTINCT paper.journalid, venue.venueid FROM author, paper, venue, writes WHERE author.authorname = 'Peter Mertens' AND venue.venueid = paper.venueid AND writes.authorid = author.authorid AND writes.paperid = paper.paperid |
how many patients whose age is less than 77 and diagnoses long title is abscess of intestine? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE 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 < "77" AND diagnoses.long_title = "Abscess of intestine" |
For those employees who was hired before 2002-06-21, return a bar chart about the distribution of job_id and the sum of employee_id , and group by attribute job_id, and I want to sort by the y-axis in desc. | 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 JOB_ID, SUM(EMPLOYEE_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY SUM(EMPLOYEE_ID) DESC |
give me the number of patients whose diagnoses short title is hx tia/stroke w/o resid and drug route is iv bolus? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Hx TIA/stroke w/o resid" AND prescriptions.route = "IV BOLUS" |
count the number of patients whose days of hospital stay is greater than 15 and drug code is imdu30? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "15" AND prescriptions.formulary_drug_cd = "IMDU30" |
A bar chart for showing the number of the countries that have managers of age above 50 or below 46, could you order x-axis from low to high order? | CREATE TABLE train (
Train_ID int,
Train_Num text,
Name text,
From text,
Arrival text,
Railway_ID int
)
CREATE TABLE railway_manage (
Railway_ID int,
Manager_ID int,
From_Year text
)
CREATE TABLE railway (
Railway_ID int,
Railway text,
Builder text,
Built text,
... | SELECT Country, COUNT(Country) FROM manager WHERE Age > 50 OR Age < 46 GROUP BY Country ORDER BY Country |
give me the time at which patient with patient id 81923 was admitted to 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 diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
... | SELECT demographic.admittime FROM demographic WHERE demographic.subject_id = "81923" |
How many stores are headquarted in each city? | CREATE TABLE product (
product_id number,
product text,
dimensions text,
dpi number,
pages_per_minute_color number,
max_page_size text,
interface text
)
CREATE TABLE store_district (
store_id number,
district_id number
)
CREATE TABLE store (
store_id number,
store_name text... | SELECT t3.headquartered_city, COUNT(*) FROM store AS t1 JOIN store_district AS t2 ON t1.store_id = t2.store_id JOIN district AS t3 ON t2.district_id = t3.district_id GROUP BY t3.headquartered_city |
Get me the list of patients taking succinylcholine who had elective hospital admission. | 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.drug = "Succinylcholine" |
Find the year and semester when offers the largest number of courses. | CREATE TABLE course (
course_id text,
title text,
dept_name text,
credits number
)
CREATE TABLE section (
course_id text,
sec_id text,
semester text,
year number,
building text,
room_number text,
time_slot_id text
)
CREATE TABLE instructor (
id text,
name text,
... | SELECT semester, year FROM section GROUP BY semester, year ORDER BY COUNT(*) DESC LIMIT 1 |
Find the job ID for those jobs which average salary is above 8000. | CREATE TABLE job_history (
employee_id number,
start_date time,
end_date time,
job_id text,
department_id number
)
CREATE TABLE regions (
region_id number,
region_name text
)
CREATE TABLE locations (
location_id number,
street_address text,
postal_code text,
city text,
... | SELECT job_id FROM employees GROUP BY job_id HAVING AVG(salary) > 8000 |
what is the number of patients whose procedure icd9 code is 8960 and drug type is base? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE procedures.icd9_code = "8960" AND prescriptions.drug_type = "BASE" |
For those employees who did not have any job in the past, visualize a bar chart about the distribution of job_id and the amount of job_id , and group by attribute job_id, list from low to high by the JOB_ID 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 NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID ORDER BY JOB_ID |
provide the number of patients whose gender is m and diagnoses icd9 code is 51889? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "M" AND diagnoses.icd9_code = "51889" |
count the number of patients whose admission location is clinic referral/premature and diagnoses icd9 code is 7069? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND diagnoses.icd9_code = "7069" |
how many patients are discharged to snf and followed the procedure icd9 code 966? | 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.discharge_location = "SNF" AND procedures.icd9_code = "966" |
how many patients are diagnosed with primary disease rash and suggested with drug route via iv? | 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.diagnosis = "RASH" AND prescriptions.route = "IV" |
provide the number of patients whose gender is f and primary disease is morbid obesity/sda? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.diagnosis = "MORBID OBESITY/SDA" |
count the number of patients whose ethnicity is hispanic or latino and procedure icd9 code is 3950? | 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.ethnicity = "HISPANIC OR LATINO" AND procedures.icd9_code = "3950" |
How many papers are presented in acl 2016 ? | CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numci... | SELECT DISTINCT COUNT(paper.paperid) FROM paper, venue WHERE paper.year = 2016 AND venue.venueid = paper.venueid AND venue.venuename = 'acl' |
Show all distinct product categories along with the number of mailshots in each category in a pie chart. | CREATE TABLE Mailshot_Customers (
mailshot_id INTEGER,
customer_id INTEGER,
outcome_code VARCHAR(15),
mailshot_customer_date DATETIME
)
CREATE TABLE Customer_Orders (
order_id INTEGER,
customer_id INTEGER,
order_status_code VARCHAR(15),
shipping_method_code VARCHAR(15),
order_placed... | SELECT product_category, COUNT(*) FROM Mailshot_Campaigns GROUP BY product_category |
give me the number of patients whose diagnoses short title is dmi neuro nt st uncntrld and drug type is main? | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "DMI neuro nt st uncntrld" AND prescriptions.drug_type = "MAIN" |
what is the average age of male patients who died before the year 2165? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT AVG(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.dod_year < "2165.0" |
what is the number of patients whose year of birth is less than 2065? | 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.dob_year < "2065" |
Bar chart x axis product name y axis how many product name | CREATE TABLE Products (
product_id INTEGER,
product_type_code VARCHAR(15),
product_name VARCHAR(80),
product_price DOUBLE
)
CREATE TABLE Contacts (
contact_id INTEGER,
customer_id INTEGER,
gender VARCHAR(1),
first_name VARCHAR(80),
last_name VARCHAR(50),
contact_phone VARCHAR(80... | SELECT product_name, COUNT(product_name) FROM Products GROUP BY product_name |
who published at ACL 2014 ? | CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE writes (
paperid int,
authorid int
... | SELECT DISTINCT writes.authorid FROM paper, venue, writes WHERE paper.year = 2014 AND venue.venueid = paper.venueid AND venue.venuename = 'ACL' AND writes.paperid = paper.paperid |
count the number of patients whose primary disease is s/p fall and year of birth is less than 2085? | 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 = "S/P FALL" AND demographic.dob_year < "2085" |
What are the ids, names, dates of opening, and other details for accounts corresponding to the customer with the first name 'Meaghan'? | CREATE TABLE product_categories (
production_type_code text,
product_type_description text,
vat_rating number
)
CREATE TABLE order_items (
order_item_id number,
order_id number,
product_id number,
product_quantity text,
other_order_item_details text
)
CREATE TABLE customers (
custo... | SELECT T1.account_id, T1.date_account_opened, T1.account_name, T1.other_account_details FROM accounts AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = 'Meaghan' |
Find the enrollment date for all the tests that have 'Pass' result, and count them by a bar chart, sort by the Y from low to high please. | CREATE TABLE Students (
student_id INTEGER,
date_of_registration DATETIME,
date_of_latest_logon DATETIME,
login_name VARCHAR(40),
password VARCHAR(10),
personal_name VARCHAR(40),
middle_name VARCHAR(40),
family_name VARCHAR(40)
)
CREATE TABLE Courses (
course_id INTEGER,
author_... | SELECT date_of_enrolment, COUNT(date_of_enrolment) FROM Student_Course_Enrolment AS T1 JOIN Student_Tests_Taken AS T2 ON T1.registration_id = T2.registration_id WHERE T2.test_result = "Pass" ORDER BY COUNT(date_of_enrolment) |
provide the number of patients who were aadmitted before the year 2125 and their drug route is neb. | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admityear < "2125" AND prescriptions.route = "NEB" |
Show all product colors. | CREATE TABLE financial_transactions (
transaction_id number,
account_id number,
invoice_number number,
transaction_type text,
transaction_date time,
transaction_amount number,
transaction_comment text,
other_transaction_details text
)
CREATE TABLE order_items (
order_item_id number,... | SELECT DISTINCT product_color FROM products |
which course has most number of registered students? | CREATE TABLE students (
student_id number,
student_details text
)
CREATE TABLE people_addresses (
person_address_id number,
person_id number,
address_id number,
date_from time,
date_to time
)
CREATE TABLE people (
person_id number,
first_name text,
middle_name text,
last_na... | SELECT T1.course_name FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_id GROUP BY T1.course_id ORDER BY COUNT(*) DESC LIMIT 1 |
how many patients whose admission year is less than 2166 and diagnoses long title is pneumococcal pneumonia [streptococcus pneumoniae pneumonia]? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2166" AND diagnoses.long_title = "Pneumococcal pneumonia [Streptococcus pneumoniae pneumonia]" |
Show the number of documents created in each day and bin document date by year interval and group by document type description with a group line chart, I want to rank x axis in descending order. | 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 Ref_Budget_Codes (
Budget_Type_Code CHAR(15),
Budget_Type_D... | SELECT Document_Date, COUNT(Document_Date) FROM Ref_Document_Types AS T1 JOIN Documents AS T2 ON T1.Document_Type_Code = T2.Document_Type_Code GROUP BY Document_Type_Description ORDER BY Document_Date DESC |
Give me a bar chart for how many date of transaction of each date of transaction, and display by the the number of date of transaction in ascending. | CREATE TABLE Sales (
sales_transaction_id INTEGER,
sales_details VARCHAR(255)
)
CREATE TABLE Transactions_Lots (
transaction_id INTEGER,
lot_id INTEGER
)
CREATE TABLE Transactions (
transaction_id INTEGER,
investor_id INTEGER,
transaction_type_code VARCHAR(10),
date_of_transaction DATE... | SELECT date_of_transaction, COUNT(date_of_transaction) FROM Transactions ORDER BY COUNT(date_of_transaction) |
give me the number of patients whose admission year is less than 2172 and lab test name is fibrin degradation products? | 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 demographic.admityear < "2172" AND lab.label = "Fibrin Degradation Products" |
Show the first names and last names of all the guests that have apartment bookings with status code 'Confirmed'. | CREATE TABLE guests (
guest_id number,
gender_code text,
guest_first_name text,
guest_last_name text,
date_of_birth time
)
CREATE TABLE apartments (
apt_id number,
building_id number,
apt_type_code text,
apt_number text,
bathroom_count number,
bedroom_count number,
room_... | SELECT T2.guest_first_name, T2.guest_last_name FROM apartment_bookings AS T1 JOIN guests AS T2 ON T1.guest_id = T2.guest_id WHERE T1.booking_status_code = "Confirmed" |
Find out the number of clinic referred patients who had premature admission and have other anomalies of larynx trachea and bronchus diagnoses. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE 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.admission_location = "CLINIC REFERRAL/PREMATURE" AND diagnoses.short_title = "Laryngotrach anomaly NEC" |
how many patients whose ethnicity is black/haitian and drug route is sc? | 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.ethnicity = "BLACK/HAITIAN" AND prescriptions.route = "SC" |
how many patients stayed in hospital for more than 16 days and were diagnosed with icd9 code v489? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "16" AND diagnoses.icd9_code = "V489" |
A bar chart showing the number of start date of the apartment bookings made by female guests (gender code 'Female') for each weekday. | 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 View_Unit_Status (
apt_id INTEGER,
apt_booking_id INTEGER,
status_date DATETIME,
avail... | SELECT booking_start_date, COUNT(booking_start_date) FROM Apartment_Bookings AS T1 JOIN Guests AS T2 ON T1.guest_id = T2.guest_id WHERE T2.gender_code = "Female" |
Bar chart of how many date of enrolment from each date of enrolment, and could you rank by the y-axis in desc? | CREATE TABLE Student_Course_Enrolment (
registration_id INTEGER,
student_id INTEGER,
course_id INTEGER,
date_of_enrolment DATETIME,
date_of_completion DATETIME
)
CREATE TABLE Course_Authors_and_Tutors (
author_id INTEGER,
author_tutor_ATB VARCHAR(3),
login_name VARCHAR(40),
password... | SELECT date_of_enrolment, COUNT(date_of_enrolment) FROM Student_Course_Enrolment ORDER BY COUNT(date_of_enrolment) DESC |
how many patients whose drug name is bethanechol? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.drug = "Bethanechol" |
find the maximum age of patients who had private insurance and their year of expiry is before 2126. | 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.insurance = "Private" AND demographic.dod_year < "2126.0" |
What is the average price of the products for each category? | CREATE TABLE products (
product_id number,
parent_product_id number,
product_category_code text,
date_product_first_available time,
date_product_discontinued time,
product_name text,
product_description text,
product_price number
)
CREATE TABLE complaints (
complaint_id number,
... | SELECT AVG(product_price), product_category_code FROM products GROUP BY product_category_code |
provide the number of patients whose admission type is newborn and year of birth is less than 2065? | 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_type = "NEWBORN" AND demographic.dob_year < "2065" |
what is the number of patients whose drug code is clin150 and lab test fluid is other body fluid? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.formulary_drug_cd = "CLIN150" AND lab.fluid = "Other Body Fluid" |
Which restaurant in Dallas were reviewed by user Patrick ? | CREATE TABLE business (
bid int,
business_id varchar,
name varchar,
full_address varchar,
city varchar,
latitude varchar,
longitude varchar,
review_count bigint,
is_open tinyint,
rating float,
state varchar
)
CREATE TABLE category (
id int,
business_id varchar,
c... | SELECT business.name FROM business, category, review, user WHERE business.city = 'Dallas' AND category.business_id = business.business_id AND category.category_name = 'restaurant' AND review.business_id = business.business_id AND user.name = 'Patrick' AND user.user_id = review.user_id |
What is the maximum number that a certain service is provided? List the service id, details and number. | CREATE TABLE residents_services (
resident_id number,
service_id number,
date_moved_in time,
property_id number,
date_requested time,
date_provided time,
other_details text
)
CREATE TABLE services (
service_id number,
organization_id number,
service_type_code text,
service_d... | SELECT T1.service_id, T1.service_details, COUNT(*) FROM services AS T1 JOIN residents_services AS T2 ON T1.service_id = T2.service_id GROUP BY T1.service_id ORDER BY COUNT(*) DESC LIMIT 1 |
Which ministers are not a part of the Progress Party, and count them by a bar chart, I want to show Y-axis from high to low order. | CREATE TABLE party (
Party_ID int,
Minister text,
Took_office text,
Left_office text,
Region_ID int,
Party_name text
)
CREATE TABLE region (
Region_ID int,
Region_name text,
Date text,
Label text,
Format text,
Catalogue text
)
CREATE TABLE member (
Member_ID int,
... | SELECT Minister, COUNT(Minister) FROM party WHERE Party_name <> 'Progress Party' GROUP BY Minister ORDER BY COUNT(Minister) DESC |
get me the number of patients with lab test item id 51025 who died in the year 2126 or before that. | 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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dod_year <= "2126.0" AND lab.itemid = "51025" |
how many patients who have stayed in the hospital for more than 43 days have 4432 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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "43" AND procedures.icd9_code = "4432" |
Among patients with cerebral aneurysm/sda as their primary disease, calculate the total number of those born before the year 2173. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "CEREBRAL ANEURYSM/SDA" AND demographic.admityear < "2173" |
For those employees who did not have any job in the past, draw a line chart about the change of employee_id over hire_date . | CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(4... | SELECT HIRE_DATE, EMPLOYEE_ID FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) |
tell me the number of urgent hospital admission patients who have been diagnosed with retained plastic fragments. | 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 = "URGENT" AND diagnoses.long_title = "Retained plastic fragments" |
What are the names of students who have taken the prerequisite for the course International Finance? | CREATE TABLE classroom (
building text,
room_number text,
capacity number
)
CREATE TABLE teaches (
id text,
course_id text,
sec_id text,
semester text,
year number
)
CREATE TABLE prereq (
course_id text,
prereq_id text
)
CREATE TABLE section (
course_id text,
sec_id te... | SELECT T1.name FROM student AS T1 JOIN takes AS T2 ON T1.id = T2.id WHERE T2.course_id IN (SELECT T4.prereq_id FROM course AS T3 JOIN prereq AS T4 ON T3.course_id = T4.course_id WHERE T3.title = 'International Finance') |
provide the number of patients whose diagnoses short title is abn react-cardiac cath and lab test abnormal status is delta? | 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 INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Abn react-cardiac cath" AND lab.flag = "delta" |
For those employees who do not work in departments with managers that have ids between 100 and 200, find phone_number and employee_id , and visualize them by a bar chart, and order by the Y in ascending please. | CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE job_history (
EMPLO... | SELECT PHONE_NUMBER, EMPLOYEE_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY EMPLOYEE_ID |
how many patients stayed in hospital for more than 15 days and lab tested with urea nitrogen? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "15" AND lab.label = "Urea Nitrogen" |
For those employees who was hired before 2002-06-21, a line chart shows the change of employee_id over hire_date | 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 locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(4... | SELECT HIRE_DATE, EMPLOYEE_ID FROM employees WHERE HIRE_DATE < '2002-06-21' |
give the number of patients whose diagnosis long title is benign neoplasm of spinal meninges. | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.long_title = "Benign neoplasm of spinal meninges" |
provide the health insurance and patients name for patient id 2560. | 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.name, demographic.insurance FROM demographic WHERE demographic.subject_id = "2560" |
Specify the maximum age of patients admitted to phys referral (normal) with brain mass or intracranial hemorrhage as their primary disease | 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 MAX(demographic.age) FROM demographic WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND demographic.diagnosis = "BRAIN MASS;INTRACRANIAL HEMORRHAGE" |
Return the login names of the students whose family name is 'Ward'. | CREATE TABLE students (
student_id number,
date_of_registration time,
date_of_latest_logon time,
login_name text,
password text,
personal_name text,
middle_name text,
family_name text
)
CREATE TABLE student_tests_taken (
registration_id number,
date_test_taken time,
test_res... | SELECT login_name FROM students WHERE family_name = "Ward" |
how many patients whose insurance is medicaid and procedure long title is hemodialysis? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Medicaid" AND procedures.long_title = "Hemodialysis" |
count the number of patients whose diagnoses is sarcoidosis and drug route is ng. | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Sarcoidosis" AND prescriptions.route = "NG" |
List all the log entry descriptions and count them using a bar chart, sort in descending by the Y-axis. | CREATE TABLE Problem_Status_Codes (
problem_status_code VARCHAR(20),
problem_status_description VARCHAR(80)
)
CREATE TABLE Staff (
staff_id INTEGER,
staff_first_name VARCHAR(80),
staff_last_name VARCHAR(80),
other_staff_details VARCHAR(255)
)
CREATE TABLE Product (
product_id INTEGER,
... | SELECT log_entry_description, COUNT(log_entry_description) FROM Problem_Log GROUP BY log_entry_description ORDER BY COUNT(log_entry_description) DESC |
provide me the number of patients on main drug type prescription who have the diagnoses of poisoning by other opiates and related narcotics. | 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 = "Poisoning-opiates NEC" AND prescriptions.drug_type = "MAIN" |
What has Yejin Kim published at Immune network ? | CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE field (
fie... | SELECT DISTINCT paper.paperid FROM author, paper, venue, writes WHERE author.authorname = 'Yejin Kim' AND venue.venueid = paper.venueid AND venue.venuename = 'Immune network' AND writes.authorid = author.authorid AND writes.paperid = paper.paperid |
How many female patients are diagnosed with ulcer of heel & mid foot? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "F" AND diagnoses.short_title = "Ulcer of heel & midfoot" |
what is maximum age of patients whose insurance is self pay and primary disease is stemi? | 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 MAX(demographic.age) FROM demographic WHERE demographic.insurance = "Self Pay" AND demographic.diagnosis = "STEMI" |
For those employees who did not have any job in the past, give me the comparison about the sum of employee_id over the hire_date bin hire_date by time, and list in asc by the total number. | 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 HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY SUM(EMPLOYEE_ID) |
Count the number of patients less than 47 years who had a urine fluid lab test. | 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 < "47" AND lab.fluid = "Urine" |
For all employees who have the letters D or S in their first name, a bar chart shows the distribution of hire_date and the average of employee_id bin hire_date by weekday, and order total number in ascending order. | CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
... | SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY AVG(EMPLOYEE_ID) |
For all employees who have the letters D or S in their first name, give me the comparison about the sum of salary over the 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 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 HIRE_DATE, SUM(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' |
Bar chart x axis nationality y axis sum meter 100, and I want to sort in desc by the X. | CREATE TABLE record (
ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_400 text,
meter_500 text,
meter_600 text,
meter_700 text,
Time text
)
... | SELECT Nationality, SUM(meter_100) FROM swimmer GROUP BY Nationality ORDER BY Nationality DESC |
what is the number of patients whose diagnoses long title is other alteration of consciousness and lab test fluid is blood? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Other alteration of consciousness" AND lab.fluid = "Blood" |
how many patients are admitted newborn and have a discharge location of disch-tran to psych hosp? | 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 WHERE demographic.admission_type = "NEWBORN" AND demographic.discharge_location = "DISCH-TRAN TO PSYCH HOSP" |
How many invoices do we have? | CREATE TABLE customers (
customer_id number,
customer_first_name text,
customer_middle_initial text,
customer_last_name text,
gender text,
email_address text,
login_name text,
login_password text,
phone_number text,
town_city text,
state_county_province text,
country text... | SELECT COUNT(*) FROM invoices |
How many of the patients on urgent admission were born before 2024? | 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 = "URGENT" AND demographic.dob_year < "2024" |
calculate the minimum age of divorcee patients who had posterior communicating aneurysm/sda as primary disease. | 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 MIN(demographic.age) FROM demographic WHERE demographic.marital_status = "DIVORCED" AND demographic.diagnosis = "POSTERIOR COMMUNICATING ANEURYSM/SDA" |
Visualize the relationship between author_tutor_ATB and gender_mf . | CREATE TABLE Student_Course_Enrolment (
registration_id INTEGER,
student_id INTEGER,
course_id INTEGER,
date_of_enrolment DATETIME,
date_of_completion DATETIME
)
CREATE TABLE Students (
student_id INTEGER,
date_of_registration DATETIME,
date_of_latest_logon DATETIME,
login_name VARC... | SELECT author_tutor_ATB, gender_mf FROM Course_Authors_and_Tutors ORDER BY personal_name |
among patients on nebulizer therapy, how many of them were widowed? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.marital_status = "WIDOWED" AND prescriptions.route = "NEB" |
what is the number of patients whose discharge location is home health care and age is less than 41? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "HOME HEALTH CARE" AND demographic.age < "41" |
what is primary disease and diagnoses icd9 code of subject name ida cook? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT demographic.diagnosis, diagnoses.icd9_code FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Ida Cook" |
what is maximum age of patients whose primary disease is aortic insufficiency\re-do sternotomy; aortic valve replacement and admission year is greater than or equal to 2150? | 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 MAX(demographic.age) FROM demographic WHERE demographic.diagnosis = "AORTIC INSUFFICIENCY\RE-DO STERNOTOMY; AORTIC VALVE REPLACEMENT " AND demographic.admityear >= "2150" |
what is the number of patients whose diagnoses icd9 code is 1173 and drug route is ih? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.icd9_code = "1173" AND prescriptions.route = "IH" |
What are the codes of all the courses that are located in room KLR209? | CREATE TABLE student (
stu_num number,
stu_lname text,
stu_fname text,
stu_init text,
stu_dob time,
stu_hrs number,
stu_class text,
stu_gpa number,
stu_transfer number,
dept_code text,
stu_phone text,
prof_num number
)
CREATE TABLE enroll (
class_code text,
stu_n... | SELECT class_code FROM class WHERE class_room = 'KLR209' |
mention the number of patients with diagnosis icd9 code 2768. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.icd9_code = "2768" |
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