instruction stringlengths 11 446 | input stringlengths 195 2.3k | response stringlengths 26 460 |
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Return the claim start date for the claims whose claimed amount is no more than the averag, and count them by a bar chart, and order by the Y-axis in asc. | CREATE TABLE Customers (
Customer_ID INTEGER,
Customer_Details VARCHAR(255)
)
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,
Cu... | SELECT Date_Claim_Made, COUNT(Date_Claim_Made) FROM Claims WHERE Amount_Settled <= (SELECT AVG(Amount_Settled) FROM Claims) ORDER BY COUNT(Date_Claim_Made) |
What are the different budget type codes, and how many documents are there for each. Show a pie chart. | CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15),
Budget_Type_Description VARCHAR(255)
)
CREATE TABLE Projects (
Project_ID INTEGER,
Project_Details VARCHAR(255)
)
CREATE TABLE Documents (
Document_ID INTEGER,
Document_Type_Code CHAR(15),
Project_ID INTEGER,
Document_Date DATE... | SELECT Budget_Type_Code, COUNT(*) FROM Documents_with_Expenses GROUP BY Budget_Type_Code |
What has Luke S Zettlemoyer published in the last 8 years ? | CREATE TABLE writes (
paperid int,
authorid int
)
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE field (
fieldid int
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE pap... | SELECT DISTINCT writes.paperid FROM author, paper, writes WHERE author.authorname = 'Luke S Zettlemoyer' AND paper.year >= YEAR(CURDATE()) - 8 AND writes.authorid = author.authorid AND writes.paperid = paper.paperid |
A bar chart showing the first name of all the faculty members who participated in some activity, together with the number of activities they participated in, display y-axis from low to high order. | CREATE TABLE Activity (
actid INTEGER,
activity_name varchar(25)
)
CREATE TABLE Participates_in (
stuid INTEGER,
actid INTEGER
)
CREATE TABLE Student (
StuID INTEGER,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city... | SELECT Fname, COUNT(*) FROM Faculty AS T1 JOIN Faculty_Participates_in AS T2 ON T1.FacID = T2.FacID GROUP BY T1.FacID ORDER BY COUNT(*) |
For all employees who have the letters D or S in their first name, return a bar chart about the distribution of hire_date and the average of manager_id bin hire_date by weekday, display Y-axis in desc order. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,... | SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY AVG(MANAGER_ID) DESC |
What is the name of the course that has the most student enrollment? | CREATE TABLE courses (
course_id number,
author_id number,
subject_id number,
course_name text,
course_description text
)
CREATE TABLE student_course_enrolment (
registration_id number,
student_id number,
course_id number,
date_of_enrolment time,
date_of_completion time
)
CREAT... | SELECT T1.course_name FROM courses AS T1 JOIN student_course_enrolment AS T2 ON T1.course_id = T2.course_id GROUP BY T1.course_name ORDER BY COUNT(*) DESC LIMIT 1 |
Give the number of patients that survived and have a diagnosis icd9 code of 5712. | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescription... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.expire_flag = "0" AND diagnoses.icd9_code = "5712" |
For directors who had more than one movie, bin the year into Year interval and them compute the total number of movies in each year bucket, and group by title The result can be drawn as a trend line, show X-axis in descending order. | CREATE TABLE Movie (
mID int,
title text,
year int,
director text
)
CREATE TABLE Reviewer (
rID int,
name text
)
CREATE TABLE Rating (
rID int,
mID int,
stars int,
ratingDate date
) | SELECT year, COUNT(year) FROM Movie AS T1 JOIN Movie AS T2 ON T1.director = T2.director WHERE T1.title <> T2.title GROUP BY title ORDER BY year DESC |
give the number of patients diagnosed under icd9 code 7245 whose lab test status is delta. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "7245" AND lab.flag = "delta" |
what is drug code of drug name nitroglycerin sl? | 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 prescriptions.formulary_drug_cd FROM prescriptions WHERE prescriptions.drug = "Nitroglycerin SL" |
What are full names and salaries of employees working in the city of London? | CREATE TABLE departments (
department_id number,
department_name text,
manager_id number,
location_id number
)
CREATE TABLE regions (
region_id number,
region_name text
)
CREATE TABLE job_history (
employee_id number,
start_date time,
end_date time,
job_id text,
department_... | SELECT first_name, last_name, salary FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id WHERE T3.city = 'London' |
find the drug code and drug route of ferrous sulfate. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT prescriptions.formulary_drug_cd, prescriptions.route FROM prescriptions WHERE prescriptions.drug = "Ferrous Sulfate" |
Which catalog contents has price above 700 dollars? Show their catalog entry names and capacities with a pie chart. | CREATE TABLE Attribute_Definitions (
attribute_id INTEGER,
attribute_name VARCHAR(30),
attribute_data_type VARCHAR(10)
)
CREATE TABLE Catalog_Contents_Additional_Attributes (
catalog_entry_id INTEGER,
catalog_level_number INTEGER,
attribute_id INTEGER,
attribute_value VARCHAR(255)
)
CREATE... | SELECT catalog_entry_name, capacity FROM Catalog_Contents WHERE price_in_dollars > 700 |
mention the date of birth and death status of the patinet named francis baseler. | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescription... | SELECT demographic.dob, demographic.expire_flag FROM demographic WHERE demographic.name = "Francis Baseler" |
Give the number of patients that survived had a and procedure icd9 code of 3772. | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "0" AND procedures.icd9_code = "3772" |
calculate the maximum days for which patients admitted on or after 2177 were hospitalized. | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescription... | SELECT MAX(demographic.days_stay) FROM demographic WHERE demographic.admityear >= "2177" |
How many papers was published in nature communications in 2015 | CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE paperdataset (
paperid ... | SELECT DISTINCT COUNT(paper.paperid) FROM paper, venue WHERE paper.year = 2015 AND venue.venueid = paper.venueid AND venue.venuename = 'nature communications' |
look for discharge time of patient bryant johnson. | 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 demographic.dischtime FROM demographic WHERE demographic.name = "Bryant Johnson" |
what is drug route of drug code mago140? | 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 prescriptions.route FROM prescriptions WHERE prescriptions.formulary_drug_cd = "MAGO140" |
Give the number of patients who were admitted in the emergency room that had a procedure icd9 code of 9672. | 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.admission_type = "EMERGENCY" AND procedures.icd9_code = "9672" |
For all employees who have the letters D or S in their first name, return a line chart about the change of commission_pct over hire_date , sort by the x axis in ascending. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_... | SELECT HIRE_DATE, COMMISSION_PCT FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY HIRE_DATE |
What are the last name and office of all history professors? | CREATE TABLE enroll (
class_code text,
stu_num number,
enroll_grade text
)
CREATE TABLE employee (
emp_num number,
emp_lname text,
emp_fname text,
emp_initial text,
emp_jobcode text,
emp_hiredate time,
emp_dob time
)
CREATE TABLE student (
stu_num number,
stu_lname text... | SELECT T1.emp_lname, T2.prof_office FROM employee AS T1 JOIN professor AS T2 ON T1.emp_num = T2.emp_num JOIN department AS T3 ON T2.dept_code = T3.dept_code WHERE T3.dept_name = 'History' |
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, show me the trend about department_id over hire_date with a line chart, show by the x-axis in desc. | 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 departments (
DEPARTMENT_ID decimal... | SELECT HIRE_DATE, DEPARTMENT_ID FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY HIRE_DATE DESC |
specify the type of admission and marital status of patient hector blair | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
... | SELECT demographic.marital_status, demographic.admission_type FROM demographic WHERE demographic.name = "Hector Blair" |
Line chart, the X is the hire date of employees and the Y-axis is the corresponding salary, and order x axis in asc order please. | CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE... | SELECT HIRE_DATE, SALARY FROM employees ORDER BY HIRE_DATE |
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 amount of hire_date bin hire_date by time. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NA... | SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' |
what is admission type and diagnoses icd9 code of subject id 62296? | 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 demographic.admission_type, diagnoses.icd9_code FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "62296" |
How many female patients are aged below 43 years? | 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.gender = "F" AND demographic.age < "43" |
What is the minimum salary in each department. Show scatter chart. | CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
CO... | SELECT MIN(SALARY), DEPARTMENT_ID FROM employees |
what is average age of patients whose primary disease is hypoxia and age is greater than or equal to 80? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT AVG(demographic.age) FROM demographic WHERE demographic.diagnosis = "HYPOXIA" AND demographic.age >= "80" |
what paper has Hans Kerp published in Nature journal ? | CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE field (
fieldid int
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE ... | SELECT DISTINCT paper.paperid FROM author, paper, venue, writes WHERE author.authorname = 'Hans Kerp' AND venue.venueid = paper.venueid AND venue.venuename = 'Nature' AND writes.authorid = author.authorid AND writes.paperid = paper.paperid |
List all the image name and URLs in the order of their names. | CREATE TABLE document_sections_images (
section_id number,
image_id number
)
CREATE TABLE documents (
document_code text,
document_structure_code text,
document_type_code text,
access_count number,
document_name text
)
CREATE TABLE roles (
role_code text,
role_description text
)
C... | SELECT image_name, image_url FROM images ORDER BY image_name |
what is the dicharge time and diagnosis icd9 code of the patient id 93033? | 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.dischtime, diagnoses.icd9_code FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "93033" |
A bar chart shows the distribution of Nationality and the average of ID , and group by attribute Nationality, and could you sort from low to high by the X-axis? | CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
CREATE TABLE record (
ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_40... | SELECT Nationality, AVG(ID) FROM swimmer GROUP BY Nationality ORDER BY Nationality |
find the number of patients whose diagnosis short title is pseudomonas infect nos and the drug type is main. | 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 = "Pseudomonas infect NOS" AND prescriptions.drug_type = "MAIN" |
how many patients died before 2155 and followed the procedure allogeneic hematopoietic stem cell transpant without purging? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dod_year <= "2155.0" AND procedures.long_title = "Allogeneic hematopoietic stem cell transpant without purging" |
give me the number of patients whose year of birth is less than 2090 and lab test fluid is cerebrospinal fluid (csf)? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2090" AND lab.fluid = "Cerebrospinal Fluid (CSF)" |
what is the number of patients whose year of birth is less than 2117 and item id is 51176? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2117" AND lab.itemid = "51176" |
How many completion students in each day? Return a bar chart binning date of completion by weekday, and I want to sort y-axis in asc order. | CREATE TABLE Subjects (
subject_id INTEGER,
subject_name VARCHAR(120)
)
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... | SELECT date_of_completion, COUNT(date_of_completion) FROM Student_Course_Enrolment ORDER BY COUNT(date_of_completion) |
How many of the total number of patients have a black/cape verdean ethnic origin? | 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.ethnicity = "BLACK/CAPE VERDEAN" |
provide the number of patients whose admission location is emergency room admit and procedure icd9 code is 14? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "EMERGENCY ROOM ADMIT" AND procedures.icd9_code = "14" |
how many patients whose gender is f and diagnoses short title is bacteremia? | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "F" AND diagnoses.short_title = "Bacteremia" |
find the maximum age of married patients admitted in or before the year 2194. | 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 MAX(demographic.age) FROM demographic WHERE demographic.marital_status = "MARRIED" AND demographic.admityear >= "2194" |
what is the number of patients whose days of hospital stay is greater than 15 and diagnoses short title is respiratory distress syn? | 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 > "15" AND diagnoses.short_title = "Respiratory distress syn" |
Show all the buildings along with the number of faculty members the buildings have Plot them as bar chart, rank total number in ascending order. | CREATE TABLE Activity (
actid INTEGER,
activity_name varchar(25)
)
CREATE TABLE Faculty (
FacID INTEGER,
Lname VARCHAR(15),
Fname VARCHAR(15),
Rank VARCHAR(15),
Sex VARCHAR(1),
Phone INTEGER,
Room VARCHAR(5),
Building VARCHAR(13)
)
CREATE TABLE Student (
StuID INTEGER,
... | SELECT Building, COUNT(*) FROM Faculty GROUP BY Building ORDER BY COUNT(*) |
For those employees who was hired before 2002-06-21, return a bar chart about the distribution of hire_date and the average of employee_id bin hire_date by weekday. | 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 regions (
REGION_ID decimal(5,0),
... | SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' |
count the number of patients whose diagnoses short title is accident in place nec and drug route is sl? | 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.short_title = "Accident in place NEC" AND prescriptions.route = "SL" |
give me the number of patients whose ethnicity is unknown/not specified and diagnoses long title is mitral valve insufficiency and aortic valve insufficiency? | 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.ethnicity = "UNKNOWN/NOT SPECIFIED" AND diagnoses.long_title = "Mitral valve insufficiency and aortic valve insufficiency" |
What is the number of professors who are in the Accounting or Biology departments? | 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 department (
dept_code text,
de... | SELECT COUNT(*) FROM professor AS T1 JOIN department AS T2 ON T1.dept_code = T2.dept_code WHERE T2.dept_name = 'Accounting' OR T2.dept_name = 'Biology' |
Plot how many date in location from over date in location from in a line chart, and list by the X from low to high. | CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME,
Day_Number INTEGER
)
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Ot... | SELECT Date_in_Location_From, COUNT(Date_in_Location_From) FROM Document_Locations GROUP BY Date_in_Location_From ORDER BY Date_in_Location_From |
Return a histogram on what is the code of each role and the number of employees in each role?, and show in ascending by the Y-axis please. | CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255)
)
CREATE TABLE Roles (
Role_Code CHAR(15),
Role_... | SELECT Role_Code, COUNT(*) FROM Employees GROUP BY Role_Code ORDER BY COUNT(*) |
List the number of instructors for each course in year 2008 with a bar chart. | CREATE TABLE instructor (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
salary numeric(8,2)
)
CREATE TABLE classroom (
building varchar(15),
room_number varchar(7),
capacity numeric(4,0)
)
CREATE TABLE advisor (
s_ID varchar(5),
i_ID varchar(5)
)
CREATE TABLE time_slot (... | SELECT title, COUNT(title) FROM course AS T1 JOIN teaches AS T2 ON T1.course_id = T2.course_id JOIN instructor AS T3 ON T2.ID = T3.ID WHERE year = 2008 GROUP BY title |
count the number of patients whose diagnoses icd9 code is 43820 and lab test fluid is pleural? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "43820" AND lab.fluid = "Pleural" |
what is admission type and death status of subject id 10317? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id... | SELECT demographic.admission_type, demographic.expire_flag FROM demographic WHERE demographic.subject_id = "10317" |
What are the name of courses that have at least five enrollments? | CREATE TABLE course (
cid text,
cname text,
credits number,
instructor number,
days text,
hours text,
dno number
)
CREATE TABLE member_of (
facid number,
dno number,
appt_type text
)
CREATE TABLE faculty (
facid number,
lname text,
fname text,
rank text,
sex... | SELECT T1.cname FROM course AS T1 JOIN enrolled_in AS T2 ON T1.cid = T2.cid GROUP BY T2.cid HAVING COUNT(*) >= 5 |
provide the number of patients whose ethnicity is hispanic or latino and procedure short title is ptca? | 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.ethnicity = "HISPANIC OR LATINO" AND procedures.short_title = "PTCA" |
Find the status of orders which belong to the customer named 'Jeramie', group by order status, and count them. Show the result with a bar chart. | CREATE TABLE Customers (
customer_id INTEGER,
customer_name VARCHAR(80),
customer_details VARCHAR(255)
)
CREATE TABLE Shipments (
shipment_id INTEGER,
order_id INTEGER,
invoice_number INTEGER,
shipment_tracking_number VARCHAR(80),
shipment_date DATETIME,
other_shipment_details VARCH... | SELECT T2.order_status, COUNT(T2.order_status) FROM Customers AS T1 JOIN Orders AS T2 ON T1.customer_id = T2.customer_id WHERE T1.customer_name = "Jeramie" GROUP BY order_status |
Show me the number of patients born before 2120 who were ordered a pleural fluid lab test. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2120" AND lab.fluid = "Pleural" |
give me the number of patients whose insurance is private and procedure icd9 code is 4105? | 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 = "Private" AND procedures.icd9_code = "4105" |
at what time was the patient with patient id 16438 discharged from hospital? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id t... | SELECT demographic.dischtime FROM demographic WHERE demographic.subject_id = "16438" |
familiarize me with the long title of procedure and primary disease of the patient morgan mcgee. | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT demographic.diagnosis, procedures.long_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.name = "Morgan Mcgee" |
How many apartment bookings in each day? Show me a line chart grouping by booking end date, and I want to sort by the x axis in asc. | CREATE TABLE Apartment_Buildings (
building_id INTEGER,
building_short_name CHAR(15),
building_full_name VARCHAR(80),
building_description VARCHAR(255),
building_address VARCHAR(255),
building_manager VARCHAR(50),
building_phone VARCHAR(80)
)
CREATE TABLE View_Unit_Status (
apt_id INTEG... | SELECT booking_end_date, COUNT(booking_end_date) FROM Apartment_Bookings GROUP BY booking_end_date ORDER BY booking_end_date |
how many patients whose drug code is lora2i? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.formulary_drug_cd = "LORA2I" |
How many students taking a course who received an A or C? Group by students' first name with a pie chart. | CREATE TABLE STUDENT (
STU_NUM int,
STU_LNAME varchar(15),
STU_FNAME varchar(15),
STU_INIT varchar(1),
STU_DOB datetime,
STU_HRS int,
STU_CLASS varchar(2),
STU_GPA float(8),
STU_TRANSFER numeric,
DEPT_CODE varchar(18),
STU_PHONE varchar(4),
PROF_NUM int
)
CREATE TABLE EN... | SELECT STU_FNAME, COUNT(STU_FNAME) FROM STUDENT AS T1 JOIN ENROLL AS T2 ON T1.STU_NUM = T2.STU_NUM WHERE T2.ENROLL_GRADE = 'C' OR T2.ENROLL_GRADE = 'A' GROUP BY STU_FNAME |
what is the number of patients whose ethnicity is white and days of hospital stay is greater than 7? | 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.ethnicity = "WHITE" AND demographic.days_stay > "7" |
Give me the number of patients who died in or before the year 2126. | 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.dod_year <= "2126.0" |
Give the number of patients whose primary disease is cerebral aneurysm/sda and were admitted before the year 2200. | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "CEREBRAL ANEURYSM/SDA" AND demographic.admityear < "2200" |
What is each customer's move in date, and the corresponding customer id and details? | CREATE TABLE residents (
resident_id number,
property_id number,
date_moved_in time,
date_moved_out time,
other_details text
)
CREATE TABLE customer_events (
customer_event_id number,
customer_id number,
date_moved_in time,
property_id number,
resident_id number,
thing_id nu... | SELECT T2.date_moved_in, T1.customer_id, T1.customer_details FROM customers AS T1 JOIN customer_events AS T2 ON T1.customer_id = T2.customer_id |
tell me the admission time and diagnoses of chandra schulman. | 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, diagnoses.short_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Chandra Schulman" |
Return a histogram on what are the different role codes for users, and how many users have each?, could you rank by the role_code in desc? | CREATE TABLE Documents (
document_code VARCHAR(15),
document_structure_code VARCHAR(15),
document_type_code VARCHAR(15),
access_count INTEGER,
document_name VARCHAR(80)
)
CREATE TABLE Images (
image_id INTEGER,
image_alt_text VARCHAR(80),
image_name VARCHAR(40),
image_url VARCHAR(25... | SELECT role_code, COUNT(*) FROM Users GROUP BY role_code ORDER BY role_code DESC |
Show all role codes and the number of employees in each role by a bar chart. | CREATE TABLE All_Documents (
Document_ID INTEGER,
Date_Stored DATETIME,
Document_Type_Code CHAR(15),
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255)
)
CREATE TABLE Document_Locations (
Document_ID INTEGER,
Location_Code CHAR(15),
Date_in_Location_... | SELECT Role_Code, COUNT(*) FROM Employees GROUP BY Role_Code |
Draw a bar chart about the distribution of Nationality and the amount of Nationality , and group by attribute Nationality, and order x-axis in ascending order. | 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, COUNT(Nationality) FROM swimmer GROUP BY Nationality ORDER BY Nationality |
Find the number of black/haitian ethnic background patients who had a parathyroid hormone lab test. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE 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.ethnicity = "BLACK/HAITIAN" AND lab.label = "Parathyroid Hormone" |
What is yejin choi 's latest paper ? | CREATE TABLE writes (
paperid int,
authorid int
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE author (
authorid int,
authorname varchar
... | SELECT DISTINCT writes.paperid FROM author, paper, writes WHERE author.authorname = 'yejin choi' AND writes.authorid = author.authorid AND writes.paperid = paper.paperid ORDER BY paper.year DESC |
For those employees who do not work in departments with managers that have ids between 100 and 200, visualize a bar chart about the distribution of first_name and manager_id , and display in asc by the Y-axis please. | CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
CO... | SELECT FIRST_NAME, MANAGER_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY MANAGER_ID |
Give me the comparison about the sum of ID over the Nationality , and group by attribute Nationality by a bar chart, could you order by the y axis in asc? | 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(ID) FROM swimmer GROUP BY Nationality ORDER BY SUM(ID) |
provide the number of patients whose year of death is less than or equal to 2111 and procedure long title is other diagnostic procedures on nasal sinuses? | 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 demographic.dod_year <= "2111.0" AND procedures.long_title = "Other diagnostic procedures on nasal sinuses" |
how old is the patient josette orr? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT demographic.age FROM demographic WHERE demographic.name = "Josette Orr" |
How many female patients have a prescription for aspirin ec? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.gender = "F" AND prescriptions.drug = "Aspirin EC" |
give me the number of patients whose ethnicity is black/cape verdean and procedure icd9 code is 8674? | 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.ethnicity = "BLACK/CAPE VERDEAN" AND procedures.icd9_code = "8674" |
what is the number of patients whose diagnoses long title is acute glomerulonephritis with other specified pathological lesion in kidney and drug route is iv drip? | 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 INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Acute glomerulonephritis with other specified pathological lesion in kidney" AND prescripti... |
how many white patients were born before 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 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.ethnicity = "WHITE" AND demographic.dob_year < "2065" |
how many patients whose drug route is pr? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.route = "PR" |
For those employees who did not have any job in the past, show me about the distribution of hire_date and the average of department_id bin hire_date by weekday in a bar chart. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varcha... | SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) |
what is drug type of drug name cephalexin? | 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 FROM prescriptions WHERE prescriptions.drug = "Cephalexin" |
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, give me the comparison about the sum of department_id over the job_id , and group by attribute job_id, I want to display in desc by the sum department id. | CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID ... | SELECT JOB_ID, SUM(DEPARTMENT_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID ORDER BY SUM(DEPARTMENT_ID) DESC |
count the number of patients whose drug route is both eyes. | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.route = "BOTH EYES" |
what is the primary disease and drug dose of subject id 18480? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (... | SELECT demographic.diagnosis, prescriptions.drug_dose FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.subject_id = "18480" |
give me the number of patients whose days of hospital stay is greater than 1 and lab test fluid is other body fluid? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "1" AND lab.fluid = "Other Body Fluid" |
Count the number of patients who have stayed in the hospital for more than 23 days with phenylephrine hcl. | 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.days_stay > "23" AND prescriptions.drug = "Phenylephrine HCl" |
what is minimum age of patients whose gender is f and 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 MIN(demographic.age) FROM demographic WHERE demographic.gender = "F" AND demographic.admission_type = "NEWBORN" |
give me the number of patients whose days of hospital stay is greater than 6 and lab test category is blood gas? | 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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "6" AND lab."CATEGORY" = "Blood Gas" |
How many of the patients born before the year 2137 were treated with midazbase? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2137" AND prescriptions.formulary_drug_cd = "MIDAZBASE" |
display the employee number, name( first name and last name ) and job title for all employees whose salary is more than any salary of those employees whose job title is PU_MAN. | CREATE TABLE job_history (
employee_id number,
start_date time,
end_date time,
job_id text,
department_id number
)
CREATE TABLE departments (
department_id number,
department_name text,
manager_id number,
location_id number
)
CREATE TABLE countries (
country_id text,
countr... | SELECT employee_id, first_name, last_name, job_id FROM employees WHERE salary > (SELECT MAX(salary) FROM employees WHERE job_id = 'PU_MAN') |
How many patients receiving inhalation therapy were born before the year 2167? | 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.dob_year < "2167" AND prescriptions.route = "INHALATION" |
who has the most papers in semantic parsing after 2005 ? | CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE field (
fieldid int
)
CREATE TABLE key... | SELECT DISTINCT COUNT(paper.paperid), writes.authorid FROM keyphrase, paper, paperkeyphrase, writes WHERE keyphrase.keyphrasename = 'semantic parsing' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND paper.year > 2005 AND writes.paperid = paper.paperid GROUP BY write... |
give me the number of patients whose primary disease is t5 fracture and procedure icd9 code is 8105? | 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.diagnosis = "T5 FRACTURE" AND procedures.icd9_code = "8105" |
For those employees who did not have any job in the past, find hire_date and the amount of hire_date bin hire_date by time, and visualize them by a bar chart. | CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE 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),
... | SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) |
how many dead/expired discharged patients were admitted before the year 2145? | 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 WHERE demographic.discharge_location = "DEAD/EXPIRED" AND demographic.admityear < "2145" |
For those employees who was hired before 2002-06-21, for manager_id, hire_date, visualize the trend, and display X-axis in descending order. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
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 T... | SELECT HIRE_DATE, MANAGER_ID FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY HIRE_DATE DESC |
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