instruction stringlengths 11 446 | input stringlengths 195 2.3k | response stringlengths 26 460 |
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For those employees who do not work in departments with managers that have ids between 100 and 200, return a bar chart about the distribution of phone_number and manager_id , and show from low to high by the x-axis. | 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 employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
... | SELECT PHONE_NUMBER, MANAGER_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY PHONE_NUMBER |
how many female patients were given the drug with drug code acet1000i? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob te... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.gender = "F" AND prescriptions.formulary_drug_cd = "ACET1000I" |
How many courses for each course description? Show me a stacked bar chart The x-axis is course description and group by instructor's first name, order in ascending by the Y-axis. | CREATE TABLE COURSE (
CRS_CODE varchar(10),
DEPT_CODE varchar(10),
CRS_DESCRIPTION varchar(35),
CRS_CREDIT float(8)
)
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),
... | SELECT CRS_DESCRIPTION, COUNT(CRS_DESCRIPTION) FROM CLASS AS T1 JOIN EMPLOYEE AS T2 ON T1.PROF_NUM = T2.EMP_NUM JOIN COURSE AS T3 ON T1.CRS_CODE = T3.CRS_CODE JOIN PROFESSOR AS T4 ON T2.EMP_NUM = T4.EMP_NUM GROUP BY EMP_FNAME, CRS_DESCRIPTION ORDER BY COUNT(CRS_DESCRIPTION) |
how many patients are with single marital status and diagnosed with other preterm infants, 2500 grams and over? | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.marital_status = "SINGLE" AND diagnoses.long_title = "Other preterm infants, 2,500 grams and over" |
how many patients admitted before the year 2165 have tp route of drug administration? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admityear < "2165" AND prescriptions.route = "TP" |
How many patients under 77 years of age had a renal epithelial cells lab test done? | 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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "77" AND lab.label = "Renal Epithelial Cells" |
Find the parties associated with the delegates from district 1 or 2 Who served as comptrollers of the parties, and count them by a bar chart, and rank in asc by the x axis. | CREATE TABLE election (
Election_ID int,
Counties_Represented text,
District int,
Delegate text,
Party int,
First_Elected real,
Committee text
)
CREATE TABLE county (
County_Id int,
County_name text,
Population real,
Zip_code text
)
CREATE TABLE party (
Party_ID int,
... | SELECT Comptroller, COUNT(Comptroller) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID WHERE T1.District = 1 OR T1.District = 2 GROUP BY Comptroller ORDER BY Comptroller |
Calculate the number of patients who have a primary disease acidosis and underwent contrast aortogram procedure. | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "ACIDOSIS" AND procedures.short_title = "Contrast aortogram" |
Bring the list of patients admitted before 2170 who had a clopidogrel bisulfate drug prescription. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admityear < "2170" AND prescriptions.drug = "Clopidogrel Bisulfate" |
tell me the number of medicaid insurance patients who had procedure icd9 code 4432. | 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Medicaid" AND procedures.icd9_code = "4432" |
Retrieve the close dates of all the policies associated with the customer whose name contains 'Diana', bin the close dates into the day of week interval and count them for a bar chart. | CREATE TABLE Customers (
Customer_ID INTEGER,
Customer_name VARCHAR(40)
)
CREATE TABLE Claims (
Claim_ID INTEGER,
FNOL_ID INTEGER,
Effective_Date DATE
)
CREATE TABLE Services (
Service_ID INTEGER,
Service_name VARCHAR(40)
)
CREATE TABLE Settlements (
Settlement_ID INTEGER,
Claim_I... | SELECT Date_Closed, COUNT(Date_Closed) FROM Customers AS t1 JOIN Customers_Policies AS t2 ON t1.Customer_ID = t2.Customer_ID WHERE t1.Customer_name LIKE "%Diana%" |
provide the number of patients whose death status is 0 and procedure long title is insertion of one vascular stent? | 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.expire_flag = "0" AND procedures.long_title = "Insertion of one vascular stent" |
Show the number of courses each instructor taught in a stacked bar chart The x-axis is the instructor's first name and group by course description, could you order total number from low to high order please? | CREATE TABLE EMPLOYEE (
EMP_NUM int,
EMP_LNAME varchar(15),
EMP_FNAME varchar(12),
EMP_INITIAL varchar(1),
EMP_JOBCODE varchar(5),
EMP_HIREDATE datetime,
EMP_DOB datetime
)
CREATE TABLE DEPARTMENT (
DEPT_CODE varchar(10),
DEPT_NAME varchar(30),
SCHOOL_CODE varchar(8),
EMP_NU... | SELECT EMP_FNAME, COUNT(EMP_FNAME) FROM CLASS AS T1 JOIN EMPLOYEE AS T2 ON T1.PROF_NUM = T2.EMP_NUM JOIN COURSE AS T3 ON T1.CRS_CODE = T3.CRS_CODE GROUP BY CRS_DESCRIPTION, EMP_FNAME ORDER BY COUNT(EMP_FNAME) |
Find the average room count of the apartments that have the 'Studio' type code. | CREATE TABLE apartment_facilities (
apt_id number,
facility_code text
)
CREATE TABLE apartment_bookings (
apt_booking_id number,
apt_id number,
guest_id number,
booking_status_code text,
booking_start_date time,
booking_end_date time
)
CREATE TABLE guests (
guest_id number,
gen... | SELECT AVG(room_count) FROM apartments WHERE apt_type_code = "Studio" |
how many patients underwent the surgical procedure open right hemicolectomy nec? | 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.short_title = "Opn rt hemicolectomy NEC" |
give me the number of patients whose admission location is trsf within this facility and procedure icd9 code is 5059? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" AND procedures.icd9_code = "5059" |
how many patients aged below 27 years had bradycardia as the primary disease? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE 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.diagnosis = "BRADYCARDIA" AND demographic.age < "27" |
What are the descriptions for the aircrafts, and count them by a bar chart | CREATE TABLE airport_aircraft (
ID int,
Airport_ID int,
Aircraft_ID int
)
CREATE TABLE pilot (
Pilot_Id int(11),
Name varchar(50),
Age int(11)
)
CREATE TABLE match (
Round real,
Location text,
Country text,
Date text,
Fastest_Qualifying text,
Winning_Pilot text,
Win... | SELECT Description, COUNT(Description) FROM aircraft GROUP BY Description |
how many patients whose admission type is newborn and diagnoses long title is loss of weight? | 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 = "NEWBORN" AND diagnoses.long_title = "Loss of weight" |
For those employees who did not have any job in the past, a bar chart shows the distribution of hire_date and the average of salary bin hire_date by weekday, rank by the mean salary from high to low please. | 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 job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END... | SELECT HIRE_DATE, AVG(SALARY) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY AVG(SALARY) DESC |
Take the first name of all the good customers as the X-axis and gender of all the good customers as Y-axis in a bar chart, list by the Y in asc. | CREATE TABLE Bookings (
booking_id INTEGER,
customer_id INTEGER,
booking_status_code VARCHAR(10),
returned_damaged_yn VARCHAR(40),
booking_start_date DATETIME,
booking_end_date DATETIME,
count_hired VARCHAR(40),
amount_payable DECIMAL(19,4),
amount_of_discount DECIMAL(19,4),
amou... | SELECT first_name, gender_mf FROM Customers WHERE good_or_bad_customer = 'good' ORDER BY gender_mf |
give me the number of patients whose diagnoses long title is acute diastolic heart failure and lab test fluid is ascites? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob te... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Acute diastolic heart failure" AND lab.fluid = "Ascites" |
provide the number of patients whose primary disease is ruq pain and year of birth is less than 2041? | 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 = "RUQ PAIN" AND demographic.dob_year < "2041" |
Bin the hire date of employees into the day of week interval and count them for visualizing a bar chart, and rank 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 job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
... | SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees ORDER BY COUNT(HIRE_DATE) |
What is the average capacity for rooms in each building? Draw a bar chart, and display bars in asc order. | CREATE TABLE course (
course_id varchar(8),
title varchar(50),
dept_name varchar(20),
credits numeric(2,0)
)
CREATE TABLE takes (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
grade varchar(2)
)
CREATE TABLE teaches (
ID var... | SELECT building, AVG(capacity) FROM classroom GROUP BY building ORDER BY building |
how many patients whose diagnoses long title is chronic obstructive asthma, unspecified and lab test category is hematology? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Chronic obstructive asthma, unspecified" AND lab."CATEGORY" = "Hematology" |
provide the number of patients whose death status is 0 and diagnoses long title is suicide and self-inflicted poisoning by analgesics, antipyretics, and antirheumatics? | 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.expire_flag = "0" AND diagnoses.long_title = "Suicide and self-inflicted poisoning by analgesics, antipyretics, and antirheumatics" |
what is date of birth and procedure short title of subject name jerry deberry? | 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 demographic.dob, procedures.short_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.name = "Jerry Deberry" |
what is maximum age of patients whose gender is f and discharge location is snf? | 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 MAX(demographic.age) FROM demographic WHERE demographic.gender = "F" AND demographic.discharge_location = "SNF" |
Show birthdates of the professors in charge of ACCT-211 and bin the date by year interval in a line chart, and I want to order x axis in desc order. | CREATE TABLE CLASS (
CLASS_CODE varchar(5),
CRS_CODE varchar(10),
CLASS_SECTION varchar(2),
CLASS_TIME varchar(20),
CLASS_ROOM varchar(8),
PROF_NUM int
)
CREATE TABLE COURSE (
CRS_CODE varchar(10),
DEPT_CODE varchar(10),
CRS_DESCRIPTION varchar(35),
CRS_CREDIT float(8)
)
CREATE... | SELECT EMP_DOB, COUNT(EMP_DOB) FROM EMPLOYEE AS T1 JOIN CLASS AS T2 ON T1.EMP_NUM = T2.PROF_NUM WHERE CRS_CODE = "ACCT-211" ORDER BY EMP_DOB DESC |
What is the number of patients who had iron lab tests done? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.label = "Iron" |
Display a bar chart for what are the ids and details for all organizations that have grants of more than 6000 dollars?, could you list by the Y from high to low? | CREATE TABLE Staff_Roles (
role_code VARCHAR(10),
role_description VARCHAR(255)
)
CREATE TABLE Document_Types (
document_type_code VARCHAR(10),
document_description VARCHAR(255)
)
CREATE TABLE Organisation_Types (
organisation_type VARCHAR(10),
organisation_type_description VARCHAR(255)
)
CRE... | SELECT T2.organisation_details, T1.organisation_id FROM Grants AS T1 JOIN Organisations AS T2 ON T1.organisation_id = T2.organisation_id GROUP BY T2.organisation_details ORDER BY T1.organisation_id DESC |
Show the transaction type and the number of transactions by a bar chart, and show in descending by the transaction_type. | CREATE TABLE Customers_Cards (
card_id INTEGER,
customer_id INTEGER,
card_type_code VARCHAR(15),
card_number VARCHAR(80),
date_valid_from DATETIME,
date_valid_to DATETIME,
other_card_details VARCHAR(255)
)
CREATE TABLE Customers (
customer_id INTEGER,
customer_first_name VARCHAR(20)... | SELECT transaction_type, COUNT(*) FROM Financial_Transactions GROUP BY transaction_type ORDER BY transaction_type DESC |
How many papers in ACL 2016 ? | CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE writes (
paperid int,
authorid int
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE field (
fieldid int
)
CREATE TABLE paperdataset (
... | SELECT DISTINCT COUNT(DISTINCT paper.paperid) FROM paper, venue WHERE paper.year = 2016 AND venue.venueid = paper.venueid AND venue.venuename = 'ACL' |
Find the names of the customers who have order status both 'On Road' and 'Shipped'. | CREATE TABLE invoices (
invoice_number number,
invoice_date time,
invoice_details text
)
CREATE TABLE shipment_items (
shipment_id number,
order_item_id number
)
CREATE TABLE order_items (
order_item_id number,
product_id number,
order_id number,
order_item_status text,
order_i... | SELECT T1.customer_name FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status = "On Road" INTERSECT SELECT T1.customer_name FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id WHERE T2.order_status = "Shipped" |
what is diagnoses long title of subject id 94756? | 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 diagnoses.long_title FROM diagnoses WHERE diagnoses.subject_id = "94756" |
find the number of patients with diagnoses icd9 code 34291 for whom ascitic fluid lab test order was placed. | 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 = "34291" AND lab.fluid = "Ascites" |
You can give me a bar chart, that groups and counts the country name, list in descending by the the number of country name. | 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 COUNTRY_NAME, COUNT(COUNTRY_NAME) FROM countries GROUP BY COUNTRY_NAME ORDER BY COUNT(COUNTRY_NAME) DESC |
what is drug route of drug name ascorbic acid? | 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 prescriptions.route FROM prescriptions WHERE prescriptions.drug = "Ascorbic Acid" |
how many patients stayed in hospital for more than 17 days and used the drug potassium phosphate? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "17" AND prescriptions.drug = "Potassium Phosphate" |
give me the number of patients whose admission year is less than 2114 and item id is 50806? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2114" AND lab.itemid = "50806" |
What are the types of vocals that the band member with the first name 'Solveig' played the most? | CREATE TABLE instruments (
songid number,
bandmateid number,
instrument text
)
CREATE TABLE vocals (
songid number,
bandmate number,
type text
)
CREATE TABLE tracklists (
albumid number,
position number,
songid number
)
CREATE TABLE band (
id number,
firstname text,
la... | SELECT type FROM vocals AS T1 JOIN band AS T2 ON T1.bandmate = T2.id WHERE firstname = "Solveig" GROUP BY type ORDER BY COUNT(*) DESC LIMIT 1 |
Show the number of documents in different ending date Bin ending date by weekday and group by location code with a stacked bar chart, could you display in descending by the y axis please? | CREATE TABLE Employees (
Employee_ID INTEGER,
Role_Code CHAR(15),
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1),
Date_of_Birth DATETIME,
Other_Details VARCHAR(255)
)
CREATE TABLE Document_Locations (
Document_ID INTEGER,
Location_Code CHAR(15),
Date_in_Location_From DATETIME,
D... | SELECT Date_in_Locaton_To, COUNT(Date_in_Locaton_To) FROM Document_Locations GROUP BY Location_Code ORDER BY COUNT(Date_in_Locaton_To) DESC |
Show the number of documents for each location code in a bar chart, and could you rank from low to high by the X? | CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME,
Day_Number INTEGER
)
CREATE TABLE Roles (
Role_Code CHAR(15),
Role_Name VARCHAR(255),
Role_Description VARCHAR(255)
)
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroy... | SELECT Location_Code, COUNT(Location_Code) FROM Document_Locations GROUP BY Location_Code ORDER BY Location_Code |
what is age of subject id 3343? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT demographic.age FROM demographic WHERE demographic.subject_id = "3343" |
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 hire_date and the average of department_id bin hire_date by time, I want to sort Y 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 job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE... | SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY AVG(DEPARTMENT_ID) |
For those employees who did not have any job in the past, return a line chart about the change of manager_id over hire_date , and could you order X-axis in ascending order? | 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 countries (
COUNTRY... | SELECT HIRE_DATE, MANAGER_ID FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY HIRE_DATE |
What is the number of patients with private health insurance who had a urea nitrogen urine lab test? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.insurance = "Private" AND lab.label = "Urea Nitrogen, Urine" |
how many patients aged below 83 years had the drug code albu5250? | 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "83" AND prescriptions.formulary_drug_cd = "ALBU5250" |
among pateints who had a hospital stay for more than 17 days, how many of them were discharged to snf? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "SNF" AND demographic.days_stay > "17" |
What is the code of each role and the number of employees in each role Show bar chart, and order by the y axis in desc please. | CREATE TABLE Ref_Locations (
Location_Code CHAR(15),
Location_Name VARCHAR(255),
Location_Description VARCHAR(255)
)
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETI... | SELECT Role_Code, COUNT(*) FROM Employees GROUP BY Role_Code ORDER BY COUNT(*) DESC |
A bar chart for what are the number of the names of photos taken with the lens brand 'Sigma' or 'Olympus'?, and sort by the names in descending please. | CREATE TABLE camera_lens (
id int,
brand text,
name text,
focal_length_mm real,
max_aperture real
)
CREATE TABLE mountain (
id int,
name text,
Height real,
Prominence real,
Range text,
Country text
)
CREATE TABLE photos (
id int,
camera_lens_id int,
mountain_id ... | SELECT T1.name, COUNT(T1.name) FROM camera_lens AS T1 JOIN photos AS T2 ON T2.camera_lens_id = T1.id WHERE T1.brand = 'Sigma' OR T1.brand = 'Olympus' GROUP BY T1.name ORDER BY T1.name DESC |
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, visualize a line chart about the change of department_id over hire_date , rank HIRE_DATE in descending order. | CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
... | 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 |
Show all distinct product categories along with the number of mailshots in each category in a bar chart, and list Y-axis from low to high order. | CREATE TABLE Customer_Orders (
order_id INTEGER,
customer_id INTEGER,
order_status_code VARCHAR(15),
shipping_method_code VARCHAR(15),
order_placed_datetime DATETIME,
order_delivered_datetime DATETIME,
order_shipping_charges VARCHAR(255)
)
CREATE TABLE Mailshot_Customers (
mailshot_id I... | SELECT product_category, COUNT(*) FROM Mailshot_Campaigns GROUP BY product_category ORDER BY COUNT(*) |
what is date of birth and drug route of subject name jerry deberry? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
... | SELECT demographic.dob, prescriptions.route FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.name = "Jerry Deberry" |
most recent papers of ali farhadi | CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE field (
fieldid int
)
C... | SELECT DISTINCT paper.paperid, paper.year FROM author, paper, writes WHERE author.authorname = 'ali farhadi' AND paper.year = (SELECT MIN(PAPERalias1.year) FROM author AS AUTHORalias1, paper AS PAPERalias1, writes AS WRITESalias1 WHERE AUTHORalias1.authorname = 'ali farhadi' AND WRITESalias1.authorid = AUTHORalias1.aut... |
provide the number of patients whose primary disease is hyperglycemia and procedure icd9 code is 4576. | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "HYPERGLYCEMIA" AND procedures.icd9_code = "4576" |
find the minimum age of patients with death status 0 and admission year in or before 2123. | 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 MIN(demographic.age) FROM demographic WHERE demographic.expire_flag = "0" AND demographic.admityear >= "2123" |
how many male patients are diagnosed for seroma complicating a procedure? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob te... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "M" AND diagnoses.long_title = "Seroma complicating a procedure" |
what is the marital status and death status of the patient troy friedman? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
... | SELECT demographic.marital_status, demographic.expire_flag FROM demographic WHERE demographic.name = "Troy Friedman" |
how many patients whose primary disease is atrial septal defect\mitral valve replacement;repair atrial-septal defect/sda and year of death is less than or equal to 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 diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "ATRIAL SEPTAL DEFECT\MITRAL VALVE REPLACEMENT;REPAIR ATRIAL-SEPTAL DEFECT/SDA" AND demographic.dod_year <= "2126.0" |
Show me manager_id by last name in a histogram, could you show MANAGER_ID in descending order please? | CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
... | SELECT LAST_NAME, MANAGER_ID FROM employees ORDER BY MANAGER_ID DESC |
Compare the distribution of the players' gender using a bar chart, rank by the total number in ascending. | CREATE TABLE match_result (
Rank int,
Club_ID int,
Gold int,
Big_Silver int,
Small_Silver int,
Bronze int,
Points int
)
CREATE TABLE club (
Club_ID int,
Club_name text,
Region text,
Start_year int
)
CREATE TABLE player (
Player_ID int,
Sponsor_name text,
Player_... | SELECT Gender, COUNT(Gender) FROM player GROUP BY Gender ORDER BY COUNT(Gender) |
For all course_name from courses table, group by the course name and count them with a bar chart, and display Y-axis from high to low order. | CREATE TABLE Candidates (
candidate_id INTEGER,
candidate_details VARCHAR(255)
)
CREATE TABLE Courses (
course_id VARCHAR(100),
course_name VARCHAR(120),
course_description VARCHAR(255),
other_details VARCHAR(255)
)
CREATE TABLE Candidate_Assessments (
candidate_id INTEGER,
qualificati... | SELECT course_name, COUNT(course_name) FROM Courses GROUP BY course_name ORDER BY COUNT(course_name) DESC |
Name the drug type and route of administration for the drug with drug code KPHO45I. | 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 prescriptions.drug_type, prescriptions.route FROM prescriptions WHERE prescriptions.formulary_drug_cd = "KPHO45I" |
what is average age of patients whose marital status is single and year of birth is greater than 2175? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT AVG(demographic.age) FROM demographic WHERE demographic.marital_status = "SINGLE" AND demographic.dob_year > "2175" |
how many patients whose gender is f and age is less than 41? | 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.gender = "F" AND demographic.age < "41" |
provide the number of patients whose death status is 1 and drug name is citalopram hydrobromide? | 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.expire_flag = "1" AND prescriptions.drug = "Citalopram Hydrobromide" |
how many patients were admitted in the emergency room for the procedure titled percutan aspiration gb? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "EMERGENCY ROOM ADMIT" AND procedures.short_title = "Percutan aspiration gb" |
how many patients died in or before year 2148 had the primary disease overdose? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "OVERDOSE" AND demographic.dod_year <= "2148.0" |
what is subject name and date of birth of subject id 2110? | 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.name, demographic.dob FROM demographic WHERE demographic.subject_id = "2110" |
How many customers are living in city 'Lake Geovannyton'? | CREATE TABLE customer_addresses (
customer_id number,
address_id number,
date_address_from time,
address_type text,
date_address_to time
)
CREATE TABLE customers (
customer_id number,
payment_method text,
customer_name text,
date_became_customer time,
other_customer_details text... | SELECT COUNT(*) FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id = t2.customer_id JOIN addresses AS t3 ON t2.address_id = t3.address_id WHERE t3.city = "Lake Geovannyton" |
how many privately insured patients have been diagnosed with unspecified shock? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Private" AND diagnoses.long_title = "Shock, unspecified" |
what is the number of patients who are diagnosed with short title chr syst/diastl hrt fail? | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.short_title = "Chr syst/diastl hrt fail" |
Draw a bar chart of transaction type versus the total number, and rank from low to high by the names. | CREATE TABLE Customers_Cards (
card_id INTEGER,
customer_id INTEGER,
card_type_code VARCHAR(15),
card_number VARCHAR(80),
date_valid_from DATETIME,
date_valid_to DATETIME,
other_card_details VARCHAR(255)
)
CREATE TABLE Accounts (
account_id INTEGER,
customer_id INTEGER,
account_... | SELECT transaction_type, COUNT(*) FROM Financial_Transactions GROUP BY transaction_type ORDER BY transaction_type |
For those employees who did not have any job in the past, return a bar chart about the distribution of hire_date and the amount of hire_date bin hire_date by weekday. | CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE T... | SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) |
NELL papers | 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 dataset, paper, paperdataset WHERE dataset.datasetname = 'NELL' AND paperdataset.datasetid = dataset.datasetid AND paper.paperid = paperdataset.paperid |
number of citations of linda shapiro | CREATE TABLE field (
fieldid int
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE cite (
... | SELECT DISTINCT COUNT(cite.citedpaperid) FROM author, cite, paper, writes WHERE author.authorname = 'linda shapiro' AND paper.paperid = cite.citedpaperid AND writes.authorid = author.authorid AND writes.paperid = paper.paperid |
what is lab test fluid of subject name jerry deberry? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT lab.fluid FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.name = "Jerry Deberry" |
how many patients whose drug route is po? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob te... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.route = "PO" |
how many patients whose admission location is trsf within this facility and diagnoses long title is abdominal pain, other specified site? | 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.admission_location = "TRSF WITHIN THIS FACILITY" AND diagnoses.long_title = "Abdominal pain, other specified site" |
what is the number of patients whose admission type is emergency and item id is 50801? | 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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND lab.itemid = "50801" |
count the number of patients whose drug code is morp2-4 and lab test category is hematology? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.formulary_drug_cd = "MORP2-4" AND lab."CATEGORY" = "Hematology" |
find the primary disease of robert clayton. | 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 demographic.diagnosis FROM demographic WHERE demographic.name = "Robert Clayton" |
what number of patients who stayed in the hospital for more than 4 days were given the drug labetol hcl? | 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "4" AND prescriptions.drug = "Labetalol HCl" |
What is the top league that pays the most to their players? | CREATE TABLE hall_of_fame (
player_id text,
yearid number,
votedby text,
ballots text,
needed text,
votes text,
inducted text,
category text,
needed_note text
)
CREATE TABLE player_award (
player_id text,
award_id text,
year number,
league_id text,
tie text,
... | SELECT league_id FROM salary GROUP BY league_id ORDER BY SUM(salary) DESC LIMIT 1 |
A bar chart for finding the number of the latest logon date of the students whose family name is 'Jaskolski' or 'Langosh', and I want to show y axis in descending order. | CREATE TABLE Courses (
course_id INTEGER,
author_id INTEGER,
subject_id INTEGER,
course_name VARCHAR(120),
course_description VARCHAR(255)
)
CREATE TABLE Students (
student_id INTEGER,
date_of_registration DATETIME,
date_of_latest_logon DATETIME,
login_name VARCHAR(40),
password... | SELECT date_of_latest_logon, COUNT(date_of_latest_logon) FROM Students WHERE family_name = "Jaskolski" OR family_name = "Langosh" ORDER BY COUNT(date_of_latest_logon) DESC |
provide the number of patients whose primary disease is coronary artery disease\coronary artery bypass graft /sda and age is less than 61? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT /SDA" AND demographic.age < "61" |
Bar chart x axis competition y axis the total number, and display by the X-axis in ascending. | CREATE TABLE hosting_city (
Year int,
Match_ID int,
Host_City text
)
CREATE TABLE match (
Match_ID int,
Date text,
Venue text,
Score text,
Result text,
Competition text
)
CREATE TABLE city (
City_ID int,
City text,
Hanzi text,
Hanyu_Pinyin text,
Regional_Populat... | SELECT Competition, COUNT(*) FROM match GROUP BY Competition ORDER BY Competition |
give me the number of patients whose admission type is urgent and procedure icd9 code is 5771? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescription... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "URGENT" AND procedures.icd9_code = "5771" |
provide the number of patients whose ethnicity is black/haitian and age is less than 85? | 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.ethnicity = "BLACK/HAITIAN" AND demographic.age < "85" |
how many of the patients on urgent admission had icd9 code 4105? | 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "URGENT" AND procedures.icd9_code = "4105" |
count the number of patients whose ethnicity is white and drug route is neb? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob te... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "WHITE" AND prescriptions.route = "NEB" |
how many patients whose days of hospital stay is greater than 15 and diagnoses short title is acute pancreatitis? | 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.days_stay > "15" AND diagnoses.short_title = "Acute pancreatitis" |
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, a bar chart shows the distribution of hire_date and the average of department_id bin hire_date by time, and could you rank from high to low by the total number? | 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 locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40)... | SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY AVG(DEPARTMENT_ID) DESC |
give me the procedure icd9 code and drug type of subject id 18480. | 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 procedures.icd9_code, prescriptions.drug_type FROM procedures INNER JOIN prescriptions ON procedures.hadm_id = prescriptions.hadm_id WHERE procedures.subject_id = "18480" |
List the number of the first name of all employees with job code PROF ordered by their date of birth. | CREATE TABLE CLASS (
CLASS_CODE varchar(5),
CRS_CODE varchar(10),
CLASS_SECTION varchar(2),
CLASS_TIME varchar(20),
CLASS_ROOM varchar(8),
PROF_NUM int
)
CREATE TABLE EMPLOYEE (
EMP_NUM int,
EMP_LNAME varchar(15),
EMP_FNAME varchar(12),
EMP_INITIAL varchar(1),
EMP_JOBCODE va... | SELECT EMP_FNAME, COUNT(EMP_FNAME) FROM EMPLOYEE WHERE EMP_JOBCODE = 'PROF' GROUP BY EMP_FNAME ORDER BY EMP_DOB |
Show the names of products and the number of events they are in by a bar chart. | CREATE TABLE Locations (
Location_ID INTEGER,
Other_Details VARCHAR(255)
)
CREATE TABLE Parties_in_Events (
Party_ID INTEGER,
Event_ID INTEGER,
Role_Code CHAR(15)
)
CREATE TABLE Events (
Event_ID INTEGER,
Address_ID INTEGER,
Channel_ID INTEGER,
Event_Type_Code CHAR(15),
Finance... | SELECT Product_Name, COUNT(*) FROM Products AS T1 JOIN Products_in_Events AS T2 ON T1.Product_ID = T2.Product_ID GROUP BY T1.Product_Name |
find the number of patients who had blood fluid lab test and had diagnoses icd9 code 29281. | 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 = "29281" AND lab.fluid = "Blood" |
get me the number of self pay insurance patients who have been diagnosed with lumbago. | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.insurance = "Self Pay" AND diagnoses.long_title = "Lumbago" |
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