instruction stringlengths 5 766 | input stringlengths 38 5.51k | response stringlengths 4 3.91k |
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give me the number of patients whose insurance is medicare and primary disease is colangitis? | 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.insurance = "Medicare" AND demographic.diagnosis = "COLANGITIS" |
how many patients whose primary disease is st elevated myocardial infarction\cardiac cath and lab test fluid is blood? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE 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.diagnosis = "ST ELEVATED MYOCARDIAL INFARCTION\CARDIAC CATH" AND lab.fluid = "Blood" |
provide the number of patients whose diagnoses short title is malig neo ascend colon? | 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 WHERE diagnoses.short_title = "Malig neo ascend colon" |
give me the number of patients whose year of death is less than or equal to 2155 and procedure icd9 code is 4632? | 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.icd9_code = "4632" |
For all employees who have the letters D or S in their first name, return a bar chart about the distribution of job_id and the average of salary , and group by attribute job_id, and show X-axis in desc order please. | CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE 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, AVG(SALARY) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' GROUP BY JOB_ID ORDER BY JOB_ID DESC |
How many of the patients with icd9 code 598 died in or before the 2115? | 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 demographic (... | 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.icd9_code = "598" |
calculate the number of patients with icd9 code 44020 who had a lab test for joint fluid | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "44020" AND lab.fluid = "Joint Fluid" |
What are the number of the completion dates of all the tests that have result 'Fail'?, display from low to high by the total number. | CREATE TABLE Courses (
course_id INTEGER,
author_id INTEGER,
subject_id INTEGER,
course_name VARCHAR(120),
course_description VARCHAR(255)
)
CREATE TABLE Course_Authors_and_Tutors (
author_id INTEGER,
author_tutor_ATB VARCHAR(3),
login_name VARCHAR(40),
password VARCHAR(40),
per... | SELECT date_of_completion, COUNT(date_of_completion) FROM Student_Course_Enrolment AS T1 JOIN Student_Tests_Taken AS T2 ON T1.registration_id = T2.registration_id WHERE T2.test_result = "Fail" ORDER BY COUNT(date_of_completion) |
Find the category descriptions of the products whose descriptions include letter 't', and count them by a bar chart, and I want to display by the names in descending please. | CREATE TABLE Product_Characteristics (
product_id INTEGER,
characteristic_id INTEGER,
product_characteristic_value VARCHAR(50)
)
CREATE TABLE Ref_Characteristic_Types (
characteristic_type_code VARCHAR(15),
characteristic_type_description VARCHAR(80)
)
CREATE TABLE Ref_Colors (
color_code VARC... | SELECT product_category_description, COUNT(product_category_description) FROM Ref_Product_Categories AS T1 JOIN Products AS T2 ON T1.product_category_code = T2.product_category_code WHERE T2.product_description LIKE '%t%' GROUP BY product_category_description ORDER BY product_category_description DESC |
List the names of aircrafts and the number of times it won matches by a bar chart, could you list in asc by the Aircraft? | CREATE TABLE aircraft (
Aircraft_ID int(11),
Aircraft varchar(50),
Description varchar(50),
Max_Gross_Weight varchar(50),
Total_disk_area varchar(50),
Max_disk_Loading varchar(50)
)
CREATE TABLE match (
Round real,
Location text,
Country text,
Date text,
Fastest_Qualifying t... | SELECT Aircraft, COUNT(*) FROM aircraft AS T1 JOIN match AS T2 ON T1.Aircraft_ID = T2.Winning_Aircraft GROUP BY T2.Winning_Aircraft ORDER BY Aircraft |
what datasets were used by oren etzioni ? | CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE writes (
paperid int,
aut... | SELECT DISTINCT paperdataset.datasetid FROM author, paper, paperdataset, writes WHERE author.authorname = 'oren etzioni' AND paper.paperid = paperdataset.paperid AND writes.authorid = author.authorid AND writes.paperid = paper.paperid |
give me the number of patients whose primary disease is coronary artery disease\coronary artery bypass graft with mvr; ? maze and lab test fluid is urine? | 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.diagnosis = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT WITH MVR; ? MAZE" AND lab.fluid = "Urine" |
find the number of patients with st elevated myocardial infarction/cardiac catheterization primary disease who have procedure icd9 code 2219. | 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.diagnosis = "ST ELEVATED MYOCARDIAL INFARCTION\CARDIAC CATH" AND procedures.icd9_code = "2219" |
provide the number of patients whose marital status is single and gender is f? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.marital_status = "SINGLE" AND demographic.gender = "F" |
What is the total number of names of products?, order in descending by the the number of product name. | CREATE TABLE Parties (
Party_ID INTEGER,
Party_Details VARCHAR(255)
)
CREATE TABLE Events (
Event_ID INTEGER,
Address_ID INTEGER,
Channel_ID INTEGER,
Event_Type_Code CHAR(15),
Finance_ID INTEGER,
Location_ID INTEGER
)
CREATE TABLE Products (
Product_ID INTEGER,
Product_Type_Cod... | SELECT Product_Name, COUNT(Product_Name) FROM Products GROUP BY Product_Name ORDER BY COUNT(Product_Name) DESC |
give me the number of patients whose diagnoses short title is status-post ptca and lab test name is calcium, total? | 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 INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Status-post ptca" AND lab.label = "Calcium, Total" |
what number of patients were primarily admitted for sepsis before the year 2162? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "SEPSIS" AND demographic.admityear < "2162" |
For those employees who was hired before 2002-06-21, visualize a bar chart about the distribution of job_id and the average of department_id , and group by attribute job_id, display in asc by the total number. | CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(... | SELECT JOB_ID, AVG(DEPARTMENT_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY AVG(DEPARTMENT_ID) |
how many patients use the drug code phos250? | 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 = "PHOS250" |
A bar chart for finding the number of the category descriptions of the products whose descriptions include letter 't', and could you rank x axis from low to high order? | CREATE TABLE Ref_Colors (
color_code VARCHAR(15),
color_description VARCHAR(80)
)
CREATE TABLE Ref_Characteristic_Types (
characteristic_type_code VARCHAR(15),
characteristic_type_description VARCHAR(80)
)
CREATE TABLE Product_Characteristics (
product_id INTEGER,
characteristic_id INTEGER,
... | SELECT product_category_description, COUNT(product_category_description) FROM Ref_Product_Categories AS T1 JOIN Products AS T2 ON T1.product_category_code = T2.product_category_code WHERE T2.product_description LIKE '%t%' GROUP BY product_category_description ORDER BY product_category_description |
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, return a bar chart about the distribution of hire_date and the amount of hire_date bin hire_date by weekday. | CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date... | SELECT HIRE_DATE, COUNT(HIRE_DATE) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 |
what is the number of patients whose primary disease is syncope;telemetry? | 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 = "SYNCOPE;TELEMETRY" |
provide the number of patients whose year of birth is less than 2098 and drug route is id? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2098" AND prescriptions.route = "ID" |
provide the number of patients whose lab test abnormal status is abnormal and lab test name is rbc, joint fluid? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.flag = "abnormal" AND lab.label = "RBC, Joint Fluid" |
provide the number of patients whose diagnoses short title is trnspl status-bne marrow and drug route is im? | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Trnspl status-bne marrow" AND prescriptions.route = "IM" |
A bar chart for finding the number of the names of swimmers who has a result of 'win', could you order x axis in descending order? | CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_400 text,
meter_500 text,
meter_600 text,
meter_700 text,
Time text
)
CREATE... | SELECT name, COUNT(name) FROM swimmer AS t1 JOIN record AS t2 ON t1.ID = t2.Swimmer_ID WHERE Result = 'Win' GROUP BY name ORDER BY name DESC |
Name some imported commodities that are not found in the US. | CREATE TABLE resultsdata15 (
sample_pk number,
commod text,
commtype text,
lab text,
pestcode text,
testclass text,
concen number,
lod number,
conunit text,
confmethod text,
confmethod2 text,
annotate text,
quantitate text,
mean text,
extract text,
determi... | SELECT commod FROM sampledata15 WHERE origin = 2 AND NOT commod IN (SELECT commod FROM sampledata15 WHERE origin = 1) |
what is the number of patients whose primary disease is brain mass;intracranial hemorrhage and procedure icd9 code is 8856? | 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "BRAIN MASS;INTRACRANIAL HEMORRHAGE" AND procedures.icd9_code = "8856" |
What are the number of the first names of all students in Smith Hall?, list by the bar in ascending please. | CREATE TABLE Lives_in (
stuid INTEGER,
dormid INTEGER,
room_number INTEGER
)
CREATE TABLE Has_amenity (
dormid INTEGER,
amenid INTEGER
)
CREATE TABLE Dorm_amenity (
amenid INTEGER,
amenity_name VARCHAR(25)
)
CREATE TABLE Student (
StuID INTEGER,
LName VARCHAR(12),
Fname VARCHA... | SELECT Fname, COUNT(Fname) FROM Student AS T1 JOIN Lives_in AS T2 ON T1.stuid = T2.stuid JOIN Dorm AS T3 ON T3.dormid = T2.dormid WHERE T3.dorm_name = 'Smith Hall' GROUP BY Fname ORDER BY Fname |
how many patients are below 27 years of age and admitted before the year 2123? | 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.age < "27" AND demographic.admityear < "2123" |
what is the number of patients who had non-invasive mechanical ventilation 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.long_title = "Non-invasive mechanical ventilation" |
provide the number of patients whose year of birth is less than 2104 and drug type is base? | 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2104" AND prescriptions.drug_type = "BASE" |
Count the number of credit cards that the customer with first name Blanche and last name Huels has. | CREATE TABLE financial_transactions (
transaction_id number,
previous_transaction_id number,
account_id number,
card_id number,
transaction_type text,
transaction_date time,
transaction_amount number,
transaction_comment text,
other_transaction_details text
)
CREATE TABLE accounts (... | SELECT COUNT(*) FROM customers_cards AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = "Blanche" AND T2.customer_last_name = "Huels" AND T1.card_type_code = "Credit" |
how many patients are in admission location clinic referral/premature and with diagnosis icd9 code 431? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND diagnoses.icd9_code = "431" |
What is the sum of budgets of the Marketing and Finance departments? | CREATE TABLE prereq (
course_id text,
prereq_id text
)
CREATE TABLE takes (
id text,
course_id text,
sec_id text,
semester text,
year number,
grade text
)
CREATE TABLE teaches (
id text,
course_id text,
sec_id text,
semester text,
year number
)
CREATE TABLE instruc... | SELECT SUM(budget) FROM department WHERE dept_name = 'Marketing' OR dept_name = 'Finance' |
give me the number of patients whose lab test name is prolactin? | 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 lab.label = "Prolactin" |
give the number of patients whose admission location is phys referral/normal deli and drug code is baci15o. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND prescriptions.formulary_drug_cd = "BACI15O" |
what is the number of patients whose admission location is trsf within this facility and days of hospital stay is greater than 34? | 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.admission_location = "TRSF WITHIN THIS FACILITY" AND demographic.days_stay > "34" |
list the number of patients under the age of 81 whose drug route is ivpca. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "81" AND prescriptions.route = "IVPCA" |
what is minimum age of patients whose primary disease is hypoxia and year of death is less than 2155? | 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.diagnosis = "HYPOXIA" AND demographic.dod_year < "2155.0" |
How many accounts for each customer? Show a bar chart that groups by customer's last name. | CREATE TABLE Product_Categories (
production_type_code VARCHAR(15),
product_type_description VARCHAR(80),
vat_rating DECIMAL(19,4)
)
CREATE TABLE Accounts (
account_id INTEGER,
customer_id INTEGER,
date_account_opened DATETIME,
account_name VARCHAR(50),
other_account_details VARCHAR(255... | SELECT customer_last_name, COUNT(*) FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id |
how many patients whose procedure icd9 code is 3950? | 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.icd9_code = "3950" |
Bar chart x axis building y axis the average of capacity, and show by the total number in descending please. | CREATE TABLE teaches (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0)
)
CREATE TABLE classroom (
building varchar(15),
room_number varchar(7),
capacity numeric(4,0)
)
CREATE TABLE time_slot (
time_slot_id varchar(4),
day varchar(1... | SELECT building, AVG(capacity) FROM classroom GROUP BY building ORDER BY AVG(capacity) DESC |
let me know the primary disease and name of the patient with patient id 7578. | 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.name, demographic.diagnosis FROM demographic WHERE demographic.subject_id = "7578" |
count the number of patients whose gender is m and drug code is hepa100syr? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.gender = "M" AND prescriptions.formulary_drug_cd = "HEPA100SYR" |
Find the number of departments in each school Plot them as bar chart, and I want to show by the y axis from high to low 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 STUDENT (
STU_NUM int,
STU_LNAME varchar(15),
STU_FNAME varchar(15),
STU_INIT varchar(1),... | SELECT SCHOOL_CODE, COUNT(DISTINCT DEPT_NAME) FROM DEPARTMENT ORDER BY COUNT(DISTINCT DEPT_NAME) DESC |
Show the order ids and the number of items in each order. | CREATE TABLE orders (
order_id number,
customer_id number,
date_order_placed time,
order_details text
)
CREATE TABLE invoices (
invoice_number number,
order_id number,
invoice_date time
)
CREATE TABLE accounts (
account_id number,
customer_id number,
date_account_opened time,
... | SELECT order_id, COUNT(*) FROM order_items GROUP BY order_id |
how many patients whose year of death is less than or equal to 2111 and lab test name is lactate dehydrogenase (ld)? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dod_year <= "2111.0" AND lab.label = "Lactate Dehydrogenase (LD)" |
What is the admission time and for how many days did the subject id 4333 stay in the hospital? | 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 demographic.days_stay, demographic.admittime FROM demographic WHERE demographic.subject_id = "4333" |
Which customer made the smallest amount of claim in one claim? Return the customer details. | CREATE TABLE staff (
staff_id number,
staff_details text
)
CREATE TABLE claims_processing_stages (
claim_stage_id number,
next_claim_stage_id number,
claim_status_name text,
claim_status_description text
)
CREATE TABLE claim_headers (
claim_header_id number,
claim_status_code text,
... | SELECT t3.customer_details FROM claim_headers AS t1 JOIN policies AS t2 ON t1.policy_id = t2.policy_id JOIN customers AS t3 ON t2.customer_id = t3.customer_id WHERE t1.amount_piad = (SELECT MIN(amount_piad) FROM claim_headers) |
A bar chart for what are the number of the completion dates of all the tests that have result 'Fail'?, and list Y in ascending order. | CREATE TABLE Students (
student_id INTEGER,
date_of_registration DATETIME,
date_of_latest_logon DATETIME,
login_name VARCHAR(40),
password VARCHAR(10),
personal_name VARCHAR(40),
middle_name VARCHAR(40),
family_name VARCHAR(40)
)
CREATE TABLE Student_Course_Enrolment (
registration_... | SELECT date_of_completion, COUNT(date_of_completion) FROM Student_Course_Enrolment AS T1 JOIN Student_Tests_Taken AS T2 ON T1.registration_id = T2.registration_id WHERE T2.test_result = "Fail" ORDER BY COUNT(date_of_completion) |
provide the number of patients whose age is less than 71 and lab test name is asparate aminotransferase (ast)? | 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.age < "71" AND lab.label = "Asparate Aminotransferase (AST)" |
give me the number of patients whose diagnoses short title is atrial fibrillation and procedure long title is other and unspecified coronary arteriography? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE diagnoses.short_title = "Atrial fibrillation" AND procedures.long_title = "Other and unspecified coronary arteriography" |
what is primary disease and diagnoses long title of subject name jane dillard? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT demographic.diagnosis, diagnoses.long_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Jane Dillard" |
what is the number of patients whose language is engl and lab test name is creatine kinase, mb isoenzyme? | 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.language = "ENGL" AND lab.label = "Creatine Kinase, MB Isoenzyme" |
count the number of patients whose marital status is married and year of death is less than or equal to 2165? | 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.marital_status = "MARRIED" AND demographic.dod_year <= "2165.0" |
2 or more systemic inflammatory response syndrome ( sirs ) criteria : temperature < / = 36 c or > / = 38 c ; heart rate > / = 90 beats per minute ; mechanical ventilation for acute respiratory process or respiratory rate > / = 20 breaths per minute or paco2 < 32 mmhg ; wbc > / = 12000 / mm3 or < / = 4000 / mm3 or > 10 ... | CREATE TABLE table_train_61 (
"id" int,
"white_blood_cell_count_wbc" int,
"in_another_study" bool,
"systolic_blood_pressure_sbp" int,
"trauma" bool,
"temperature" float,
"anc" int,
"hypotension" bool,
"heart_rate" int,
"paco2" float,
"gastrointestinal_disease" bool,
"burn... | SELECT * FROM table_train_61 WHERE (CASE WHEN temperature < 36 OR temperature > 38 THEN 1 ELSE 0 END + CASE WHEN heart_rate > 90 THEN 1 ELSE 0 END + CASE WHEN respiratory_rate > 20 OR paco2 < 32 THEN 1 ELSE 0 END + CASE WHEN white_blood_cell_count_wbc > 12000 OR white_blood_cell_count_wbc < 4000 OR immature_form > 10 T... |
Find the names of the top 10 airlines that operate the most number of routes. | CREATE TABLE airports (
apid number,
name text,
city text,
country text,
x number,
y number,
elevation number,
iata text,
icao text
)
CREATE TABLE routes (
rid number,
dst_apid number,
dst_ap text,
src_apid number,
src_ap text,
alid number,
airline text,
... | SELECT T1.name, T2.alid FROM airlines AS T1 JOIN routes AS T2 ON T1.alid = T2.alid GROUP BY T2.alid ORDER BY COUNT(*) DESC LIMIT 10 |
what is average age of patients whose death status is 0 and primary disease is newborn? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
C... | SELECT AVG(demographic.age) FROM demographic WHERE demographic.expire_flag = "0" AND demographic.diagnosis = "NEWBORN" |
give me the number of patients whose year of birth is less than 2056 and procedure icd9 code is 8321? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dob_year < "2056" AND procedures.icd9_code = "8321" |
What papers talk about Reinforcement Learning ? | CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE field (
fieldid int
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE writes (
paperid int,
authorid int
)
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE paper (
pape... | SELECT DISTINCT paper.paperid FROM keyphrase, paper, paperkeyphrase WHERE keyphrase.keyphrasename = 'Reinforcement Learning' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid |
Tell me the distribution of the number of trains at each arrival time with a bar chart, could you display in descending by the x axis? | CREATE TABLE railway (
Railway_ID int,
Railway text,
Builder text,
Built text,
Wheels text,
Location text,
ObjectNumber text
)
CREATE TABLE railway_manage (
Railway_ID int,
Manager_ID int,
From_Year text
)
CREATE TABLE manager (
Manager_ID int,
Name text,
Country te... | SELECT Arrival, COUNT(Arrival) FROM train GROUP BY Arrival ORDER BY Arrival DESC |
provide the number of patients whose days of hospital stay is greater than 8 and drug name is acetylcysteine 20%? | 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "8" AND prescriptions.drug = "Acetylcysteine 20%" |
count the number of patients whose age is less than 76 and drug name is mycophenolate mofetil? | 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "76" AND prescriptions.drug = "Mycophenolate Mofetil" |
report the number of patients diagnosed with percutaneous transluminal coronary angioplasty status who had home health care discharge. | 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 INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.discharge_location = "HOME HEALTH CARE" AND diagnoses.short_title = "Status-post ptca" |
give me the number of patients whose marital status is married and item id is 51288? | 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.marital_status = "MARRIED" AND lab.itemid = "51288" |
what is the number of patients whose marital status is single and primary disease is hypoxia? | 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.marital_status = "SINGLE" AND demographic.diagnosis = "HYPOXIA" |
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, draw a bar chart about the distribution of hire_date and the sum of manager_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 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, SUM(MANAGER_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 |
For all employees who have the letters D or S in their first name, give me the trend about employee_id over hire_date . | CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE... | SELECT HIRE_DATE, EMPLOYEE_ID FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' |
how many patients whose primary disease is brain mass;intracranial hemorrhage and lab test fluid is joint fluid? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.diagnosis = "BRAIN MASS;INTRACRANIAL HEMORRHAGE" AND lab.fluid = "Joint Fluid" |
What is the number of patients with inpatient hospital discharge who underwent the laparoscopic lysis of peritoneal adhesions procedure? | 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.discharge_location = "DISC-TRAN CANCER/CHLDRN H" AND procedures.short_title = "Lap periton adhesiolysis" |
what is the number of patients whose diagnoses short title is surg compl-heart and drug type is main? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Surg compl-heart" AND prescriptions.drug_type = "MAIN" |
Find all the catalog publishers whose name contains 'Murray | CREATE TABLE attribute_definitions (
attribute_id number,
attribute_name text,
attribute_data_type text
)
CREATE TABLE catalog_contents (
catalog_entry_id number,
catalog_level_number number,
parent_entry_id number,
previous_entry_id number,
next_entry_id number,
catalog_entry_name ... | SELECT DISTINCT (catalog_publisher) FROM catalogs WHERE catalog_publisher LIKE "%Murray%" |
how many patients who primarily diagnosed for coronary artery disease or coronary artery bypass graft /sda died in or before the year 2112? | 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 = "CORONARY ARTERY DISEASE\CORONARY ARTERY BYPASS GRAFT /SDA" AND demographic.dod_year <= "2112.0" |
provide the number of patients whose religion is catholic and diagnoses long title is personal history, urinary (tract) infection? | 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.religion = "CATHOLIC" AND diagnoses.long_title = "Personal history, urinary (tract) infection" |
How many patients had other body fluid as lab test fluid and were admitted on an urgent basis? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob te... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "URGENT" AND lab.fluid = "Other Body Fluid" |
What is the total number of patients from hispanic/latino - puertorican ethnic origin who were born before 2107. | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "HISPANIC/LATINO - PUERTO RICAN" AND demographic.dob_year < "2107" |
what is the number of patients whose diagnoses icd9 code is 769 and drug type is additive? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic ... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.icd9_code = "769" AND prescriptions.drug_type = "ADDITIVE" |
calculate the average age of government health insurance patients who were admitted in hospital for a day. | 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 AVG(demographic.age) FROM demographic WHERE demographic.insurance = "Government" AND demographic.days_stay = "1" |
Bin the installation date into the day of week interval, and then you can draw a bar chart to tell me how many stations each year, and list Y in desc order. | CREATE TABLE weather (
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pre... | SELECT installation_date, COUNT(installation_date) FROM station ORDER BY COUNT(installation_date) DESC |
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 job_id and manager_id , sort Y from low to high order please. | CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE... | SELECT JOB_ID, 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 |
how many patients of the age 80 and above had the primary disease as hypoxia? | 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 is admission location and diagnoses short title of subject id 3623? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT demographic.admission_location, diagnoses.short_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "3623" |
Show the number of documents in each day for all documents on project with details 'Graph Database project' and bin document date by year interval with a line chart, display X from high to low order. | CREATE TABLE Projects (
Project_ID INTEGER,
Project_Details VARCHAR(255)
)
CREATE TABLE Accounts (
Account_ID INTEGER,
Statement_ID INTEGER,
Account_Details VARCHAR(255)
)
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15),
Budget_Type_Description VARCHAR(255)
)
CREATE TABLE Docume... | SELECT Document_Date, COUNT(Document_Date) FROM Documents AS T1 JOIN Projects AS T2 ON T1.Project_ID = T2.Project_ID WHERE T2.Project_Details = 'Graph Database project' ORDER BY Document_Date DESC |
how many patients use the neonatal syringe? | 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.drug = "Syringe (Neonatal)" |
How many patients were born before the year 2114 and survived? | 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 demographic (... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.expire_flag = "0" AND demographic.dob_year < "2114" |
count the number of patients whose age is less than 86 and diagnoses long title is wheelchair dependence? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "86" AND diagnoses.long_title = "Wheelchair dependence" |
what is the number of patients whose age is below 89 years and had the procedure initial insertion of single-chamber device, rate responsive? | 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "89" AND procedures.long_title = "Initial insertion of single-chamber device, rate responsive" |
how many patients stayed in hospital for more than 34 days and were procedured with icd9 code 3931? | 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "34" AND procedures.icd9_code = "3931" |
what is the difference of the amount sold between boeing and general dynamics in 2007 ? | CREATE TABLE table_204_681 (
id number,
"2011 rank" number,
"2010 rank" number,
"2009 rank" number,
"2008 rank" number,
"2007 rank" number,
"company (country)" text,
"2011 arms sales (us$ m.)" number,
"2010 arms sales (us$ m.)" number,
"2009 arms sales (us$ m.)" number,
"2008... | SELECT ABS((SELECT "2007 arms sales (us$ m.)" FROM table_204_681 WHERE "company (country)" = 'boeing') - (SELECT "2007 arms sales (us$ m.)" FROM table_204_681 WHERE "company (country)" = 'general dynamics')) |
For those employees who was hired before 2002-06-21, draw a bar chart about the distribution of job_id and the sum of department_id , and group by attribute job_id, rank by the bars in desc please. | CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0... | SELECT JOB_ID, SUM(DEPARTMENT_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY JOB_ID DESC |
get me the number of patients with gast30l drug code who were categorized under chemistry 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 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 INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.formulary_drug_cd = "GAST30L" AND lab."CATEGORY" = "Chemistry" |
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 first_name and commission_pct , I want to show by the Y-axis from high to low. | CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(2... | SELECT FIRST_NAME, COMMISSION_PCT FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY COMMISSION_PCT DESC |
who has papers at NIPS ? | CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE cite (
citi... | SELECT DISTINCT writes.authorid FROM paper, venue, writes WHERE venue.venueid = paper.venueid AND venue.venuename = 'NIPS' AND writes.paperid = paper.paperid |
For those employees who was hired before 2002-06-21, a bar chart shows the distribution of hire_date and the average of department_id bin hire_date by weekday, list by the Y in ascending please. | 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_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE employees (
EMPLO... | SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY AVG(DEPARTMENT_ID) |
What is the date of birth of every customer whose status code is 'Good Customer', and count them by a line chart | CREATE TABLE Staff (
staff_id INTEGER,
staff_address_id INTEGER,
nickname VARCHAR(80),
first_name VARCHAR(80),
middle_name VARCHAR(80),
last_name VARCHAR(80),
date_of_birth DATETIME,
date_joined_staff DATETIME,
date_left_staff DATETIME
)
CREATE TABLE Customers (
customer_id INTE... | SELECT date_of_birth, COUNT(date_of_birth) FROM Customers WHERE customer_status_code = 'Good Customer' |
what is the drug type and drug route of drug code pheny100l? | 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 prescriptions.drug_type, prescriptions.route FROM prescriptions WHERE prescriptions.formulary_drug_cd = "PHENY100L" |
give me the number of patients whose admission type is elective and year of birth is less than 1821? | 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.admission_type = "ELECTIVE" AND demographic.dob_year < "1821" |
count the number of white-russian ethnic background patients who had emergency hospital admission. | 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.admission_type = "EMERGENCY" AND demographic.ethnicity = "WHITE - RUSSIAN" |
Give me the number of patients diagnosed with cerebral thrombosis with cerebral infarction who had a csf 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Cerebral thrombosis with cerebral infarction" AND lab.fluid = "Cerebrospinal Fluid (CSF)" |
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