instruction stringlengths 5 766 | input stringlengths 38 5.51k | response stringlengths 4 3.91k |
|---|---|---|
For all employees who have the letters D or S in their first name, visualize a bar chart about the distribution of hire_date and the average of department_id bin hire_date by time, and rank mean department id in descending order. | 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 HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' ORDER BY AVG(DEPARTMENT_ID) DESC |
count the number of patients whose diagnoses icd9 code is 2764 and lab test abnormal status is delta? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "2764" AND lab.flag = "delta" |
provide the number of patients whose admission location is clinic referral/premature and procedure short title is cont inv mec ven is less than96 hrs? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "CLINIC REFERRAL/PREMATURE" AND procedures.short_title = "Cont inv mec ven <96 hrs" |
What are the names of all the aircrafts associated with London Gatwick airport? | CREATE TABLE airport_aircraft (
id number,
airport_id number,
aircraft_id number
)
CREATE TABLE pilot (
pilot_id number,
name text,
age number
)
CREATE TABLE match (
round number,
location text,
country text,
date text,
fastest_qualifying text,
winning_pilot text,
w... | SELECT T1.aircraft FROM aircraft AS T1 JOIN airport_aircraft AS T2 ON T1.aircraft_id = T2.aircraft_id JOIN airport AS T3 ON T2.airport_id = T3.airport_id WHERE T3.airport_name = "London Gatwick" |
what is the procedure icd9 code of Jerry Deberry? | 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 procedures.icd9_code FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.name = "Jerry Deberry" |
Show the role code with the least employees. | CREATE TABLE all_documents (
document_id number,
date_stored time,
document_type_code text,
document_name text,
document_description text,
other_details text
)
CREATE TABLE document_locations (
document_id number,
location_code text,
date_in_location_from time,
date_in_locaton_t... | SELECT role_code FROM employees GROUP BY role_code ORDER BY COUNT(*) LIMIT 1 |
How many different locations does each school have Show bar chart, and I want to sort by the X-axis in asc please. | CREATE TABLE DEPARTMENT (
DEPT_CODE varchar(10),
DEPT_NAME varchar(30),
SCHOOL_CODE varchar(8),
EMP_NUM int,
DEPT_ADDRESS varchar(20),
DEPT_EXTENSION varchar(4)
)
CREATE TABLE PROFESSOR (
EMP_NUM int,
DEPT_CODE varchar(10),
PROF_OFFICE varchar(50),
PROF_EXTENSION varchar(4),
... | SELECT SCHOOL_CODE, COUNT(DISTINCT DEPT_ADDRESS) FROM DEPARTMENT ORDER BY SCHOOL_CODE |
For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about employee_id over the phone_number by a bar chart. | 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 PHONE_NUMBER, EMPLOYEE_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) |
Draw a bar chart of last name versus department_id, and order in desc by the X 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 jobs (
JOB_ID varchar(10),
JOB_... | SELECT LAST_NAME, DEPARTMENT_ID FROM employees ORDER BY LAST_NAME DESC |
how many patients whose ethnicity is white and procedure short title is sm bowel exteriorization? | 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.ethnicity = "WHITE" AND procedures.short_title = "Sm bowel exteriorization" |
What was the emission rating in California for the vehicle that was rated 80 g/mi (50 g/km) in Alaska and 250 g/mi (155 g/km) in the Southeast ? | CREATE TABLE table_20555 (
"Vehicle" text,
"EPA rated All-electric range" text,
"EPA rated combined fuel economy" text,
"Alaska ( Juneau )" text,
"California (San Francisco)" text,
"Mid-Atlantic South (Washington, D.C.)" text,
"U.S. national average electric mix" text,
"Southeast (Atlant... | SELECT "California (San Francisco)" FROM table_20555 WHERE "Alaska ( Juneau )" = '80 g/mi (50 g/km)' AND "Southeast (Atlanta)" = '250 g/mi (155 g/km)' |
count the number of patients whose age is less than 63 and drug type is base? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.age < "63" AND prescriptions.drug_type = "BASE" |
Show the number of different competition types with a bar graph, and I want to display from high to low by the Competition_type. | CREATE TABLE competition (
Competition_ID int,
Year real,
Competition_type text,
Country text
)
CREATE TABLE club (
Club_ID int,
name text,
Region text,
Start_year text
)
CREATE TABLE competition_result (
Competition_ID int,
Club_ID_1 int,
Club_ID_2 int,
Score text
)
C... | SELECT Competition_type, COUNT(Competition_type) FROM competition GROUP BY Competition_type ORDER BY Competition_type DESC |
give the number of patients who died in or before year 2115 with a drug name docusate sodium (liquid). | 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dod_year <= "2115.0" AND prescriptions.drug = "Docusate Sodium (Liquid)" |
Show names of technicians and the number of machines they are assigned to repair with a bar chart, display the total number in ascending order. | CREATE TABLE technician (
technician_id real,
Name text,
Team text,
Starting_Year real,
Age int
)
CREATE TABLE machine (
Machine_ID int,
Making_Year int,
Class text,
Team text,
Machine_series text,
value_points real,
quality_rank int
)
CREATE TABLE repair_assignment (
... | SELECT Name, COUNT(*) FROM repair_assignment AS T1 JOIN technician AS T2 ON T1.technician_id = T2.technician_id GROUP BY T2.Name ORDER BY COUNT(*) |
When do all the researcher role staff start to work? Bin the time into YEAR interval and count them with a line chart, and order from low to high by the date_from please. | CREATE TABLE Project_Staff (
staff_id DOUBLE,
project_id INTEGER,
role_code VARCHAR(10),
date_from DATETIME,
date_to DATETIME,
other_details VARCHAR(255)
)
CREATE TABLE Organisation_Types (
organisation_type VARCHAR(10),
organisation_type_description VARCHAR(255)
)
CREATE TABLE Organis... | SELECT date_from, COUNT(date_from) FROM Project_Staff ORDER BY date_from |
Find the first name and office of history professor who did not get a Ph.D. degree. | CREATE TABLE department (
dept_code text,
dept_name text,
school_code text,
emp_num number,
dept_address text,
dept_extension text
)
CREATE TABLE course (
crs_code text,
dept_code text,
crs_description text,
crs_credit number
)
CREATE TABLE professor (
emp_num number,
d... | SELECT T2.emp_fname, T1.prof_office FROM professor AS T1 JOIN employee AS T2 ON T1.emp_num = T2.emp_num JOIN department AS T3 ON T1.dept_code = T3.dept_code WHERE T3.dept_name = 'History' AND T1.prof_high_degree <> 'Ph.D.' |
Draw a bar chart for what is the name of every city that has at least 15 stations and how many stations does it have?, display Y from low to high order. | CREATE TABLE trip (
id INTEGER,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE status (
station_i... | SELECT city, COUNT(*) FROM station GROUP BY city ORDER BY COUNT(*) |
How many of the patients with icd9 code 3761 have an unspecified death status? | 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.expire_flag = "0" AND procedures.icd9_code = "3761" |
For those employees who do not work in departments with managers that have ids between 100 and 200, show me about the distribution of hire_date and the sum of department_id bin hire_date by weekday in a bar chart. | 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, SUM(DEPARTMENT_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) |
provide the number of patients whose diagnoses short title is routine circumcision and drug route is ng? | 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Routine circumcision" AND prescriptions.route = "NG" |
have a serum creatinine greater than or equal to 1.5 milligrams / deciliter ( mg / dl ) ( male ) or greater than or equal to 1.4 mg / dl ( female ) , or a creatinine clearance less than 60 milliliters / minute ( ml / minute ) | CREATE TABLE table_dev_38 (
"id" int,
"gender" string,
"serum_potassium" float,
"systolic_blood_pressure_sbp" int,
"creatinine_clearance_cl" float,
"estimated_glomerular_filtration_rate_egfr" int,
"diastolic_blood_pressure_dbp" int,
"ace_inhibitors" bool,
"serum_creatinine" float,
... | SELECT * FROM table_dev_38 WHERE (serum_creatinine >= 1.5 AND gender = 'male') OR (serum_creatinine >= 1.4 AND gender = 'female') OR creatinine_clearance_cl < 60 |
Return the number of the completion date for all the tests that have 'Fail' result, and rank total number from high to low order please. | CREATE TABLE Subjects (
subject_id INTEGER,
subject_name VARCHAR(120)
)
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 DATE... | 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) DESC |
Which cities' temperature in March is lower than that in July or higher than that in Oct? | CREATE TABLE temperature (
city_id number,
jan number,
feb number,
mar number,
apr number,
jun number,
jul number,
aug number,
sep number,
oct number,
nov number,
dec number
)
CREATE TABLE city (
city_id number,
city text,
hanzi text,
hanyu_pinyin text,
... | SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.mar < T2.jul OR T2.mar > T2.oct |
count the number of patients whose marital status is single and drug route is inhalation? | 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.marital_status = "SINGLE" AND prescriptions.route = "INHALATION" |
what is maximum age of patients whose marital status is single and admission type is elective? | 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 MAX(demographic.age) FROM demographic WHERE demographic.marital_status = "SINGLE" AND demographic.admission_type = "ELECTIVE" |
Which matches has the highest draw opening so far? | CREATE TABLE football_data (
season text,
datetime time,
div text,
country text,
league text,
referee text,
hometeam text,
awayteam text,
fthg number,
ftag number,
ftr text,
hthg number,
htag number,
htr text,
psh number,
psd number,
psa number,
b3... | SELECT match FROM betfront ORDER BY draw_opening DESC LIMIT 1 |
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, show me about the distribution of hire_date and the average of department_id bin hire_date by weekday in a bar chart. | 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 HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 |
How many patients discharged to skilled nursing facility have aortic insufficiency/re-do sternotomy aortic valve replacement as their primary disease? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.discharge_location = "SNF" AND demographic.diagnosis = "AORTIC INSUFFICIENCY\RE-DO STERNOTOMY; AORTIC VALVE REPLACEMENT " |
Please compare the frequency of the customer details using a bar chart. | CREATE TABLE Residents (
resident_id INTEGER,
property_id INTEGER,
date_moved_in DATETIME,
date_moved_out DATETIME,
other_details VARCHAR(255)
)
CREATE TABLE Customer_Events (
Customer_Event_ID INTEGER,
customer_id INTEGER,
date_moved_in DATETIME,
property_id INTEGER,
resident_i... | SELECT customer_details, COUNT(customer_details) FROM Customers GROUP BY customer_details |
what is the total number of patients diagnosed with icd9 code 45620 who had a blood test. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "45620" AND lab.fluid = "Blood" |
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, give me the comparison about the amount of job_id over the job_id , and group by attribute job_id, and sort by the X in ascending please. | CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(... | SELECT JOB_ID, COUNT(JOB_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 GROUP BY JOB_ID ORDER BY JOB_ID |
find the number of patients who have ed route of drug administration and diagnosed with chronic systolic and diastolic heart failure. | 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 INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Chronic combined systolic and diastolic heart failure" AND prescriptions.route = "ED" |
what is the number of patients whose discharge location is home health care and procedure icd9 code is 3892? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "HOME HEALTH CARE" AND procedures.icd9_code = "3892" |
In which season and which stadium did any player have an injury of 'Foot injury' or 'Knee problem'? | CREATE TABLE stadium (
id number,
name text,
home_games number,
average_attendance number,
total_attendance number,
capacity_percentage number
)
CREATE TABLE game (
stadium_id number,
id number,
season number,
date text,
home_team text,
away_team text,
score text,
... | SELECT T1.season, T2.name FROM game AS T1 JOIN stadium AS T2 ON T1.stadium_id = T2.id JOIN injury_accident AS T3 ON T1.id = T3.game_id WHERE T3.injury = 'Foot injury' OR T3.injury = 'Knee problem' |
provide the number of patients who died primarily due to fall on stair/step nec. | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescription... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.expire_flag = "1" AND diagnoses.short_title = "Fall on stair/step NEC" |
For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about salary over the first_name , rank from high to low by the X 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 employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
... | SELECT FIRST_NAME, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY FIRST_NAME DESC |
Show the number of accounts for different statement details in a bar chart. | CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15),
Budget_Type_Description VARCHAR(255)
)
CREATE TABLE Statements (
Statement_ID INTEGER,
Statement_Details VARCHAR(255)
)
CREATE TABLE Accounts (
Account_ID INTEGER,
Statement_ID INTEGER,
Account_Details VARCHAR(255)
)
CREATE TABLE ... | SELECT Statement_Details, COUNT(Statement_Details) FROM Accounts AS T1 JOIN Statements AS T2 ON T1.Statement_ID = T2.Statement_ID GROUP BY Statement_Details |
count the number of patients whose admission type is emergency and drug route is buccal. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND prescriptions.route = "BUCCAL" |
how many black/haitian patients were aged below 80 years? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescription... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.ethnicity = "BLACK/HAITIAN" AND demographic.age < "80" |
tell me the route of administration of drug with drug code mago140. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT prescriptions.route FROM prescriptions WHERE prescriptions.formulary_drug_cd = "MAGO140" |
count the number of patients taking drug via pr route who have other and unspecified alcohol dependence, unspecified diagnoses. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Other and unspecified alcohol dependence, unspecified" AND prescriptions.route = "PR" |
What paper did Michael Armstrong wrote in the 90s ? | CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE paperfield (
fieldid int,
... | SELECT DISTINCT paper.year, writes.paperid FROM author, paper, writes WHERE author.authorname LIKE 'Michael Armstrong' AND paper.year LIKE '199' AND writes.authorid = author.authorid AND writes.paperid = paper.paperid |
A bar chart for what are the number of the dates when customers with ids between 10 and 20 became customers?, and I want to sort from low to high by the Y-axis. | CREATE TABLE Products (
product_id INTEGER,
product_details VARCHAR(255)
)
CREATE TABLE Customer_Contact_Channels (
customer_id INTEGER,
channel_code VARCHAR(15),
active_from_date DATETIME,
active_to_date DATETIME,
contact_number VARCHAR(50)
)
CREATE TABLE Addresses (
address_id INTEGE... | SELECT date_became_customer, COUNT(date_became_customer) FROM Customers WHERE customer_id BETWEEN 10 AND 20 ORDER BY COUNT(date_became_customer) |
Bar chart of how many building from each building | CREATE TABLE instructor (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
salary numeric(8,2)
)
CREATE TABLE teaches (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0)
)
CREATE TABLE time_slot (
time_slot_id varchar(4),
... | SELECT building, COUNT(building) FROM department GROUP BY building |
A bar chart for what are the number of the dates in which the mean sea level pressure was between 303 and 31?, display Y-axis from low to high order. | CREATE TABLE station (
id INTEGER,
name TEXT,
lat NUMERIC,
long NUMERIC,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE weather (
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
... | SELECT date, COUNT(date) FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31 ORDER BY COUNT(date) |
how many patients whose admission type is elective and procedure icd9 code is 40? | 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.admission_type = "ELECTIVE" AND procedures.icd9_code = "40" |
what is the discharge location and time of the patient melinda miers? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
... | SELECT demographic.discharge_location, demographic.dischtime FROM demographic WHERE demographic.name = "Melinda Miers" |
Give me a pie to show the total number from different location code. | CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255)
)
CREATE TABLE Employees (
Employee_ID INTEGER,
... | SELECT Location_Code, COUNT(*) FROM Document_Locations GROUP BY Location_Code |
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 salary . | 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),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
... | SELECT PHONE_NUMBER, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) |
Bin the installation date into Year interval, and then you can draw a bar chart to tell me how many stations each year. | CREATE TABLE status (
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
CREATE TABLE weather (
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_... | SELECT installation_date, COUNT(installation_date) FROM station |
List the names of aircrafts and the number of times it won matches Plot them as bar chart, list by the total number in descending. | 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 Aircraft, COUNT(*) FROM aircraft AS T1 JOIN match AS T2 ON T1.Aircraft_ID = T2.Winning_Aircraft GROUP BY T2.Winning_Aircraft ORDER BY COUNT(*) DESC |
How many patients have their marital status as widowed and operated for procedure icd9 code 4610? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.marital_status = "WIDOWED" AND procedures.icd9_code = "4610" |
give me the number of patients whose age is less than 41 and lab test fluid is urine? | 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 < "41" AND lab.fluid = "Urine" |
how many patients are discharged to disc-tran cancer/chldrn h and lab tested for basophils? | 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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.discharge_location = "DISC-TRAN CANCER/CHLDRN H" AND lab.label = "Basophils" |
how many patients admitted before the year 2198 are diagnosed with primary disease aortic insufficiency\re-do sternotomy; aortic valve replacement? | 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 = "AORTIC INSUFFICIENCY\RE-DO STERNOTOMY; AORTIC VALVE REPLACEMENT " AND demographic.admityear < "2198" |
provide the number of patients whose primary disease is newborn and year of death is less than or equal to 2112? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "NEWBORN" AND demographic.dod_year <= "2112.0" |
provide the admission location of tracy farmer. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob te... | SELECT demographic.admission_location FROM demographic WHERE demographic.name = "Tracy Farmer" |
give me the number of patients whose admission year is less than 2125 and item id is 50970? | 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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2125" AND lab.itemid = "50970" |
give me the number of patients whose gender is f and drug code is azit500i? | 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.gender = "F" AND prescriptions.formulary_drug_cd = "AZIT500I" |
what is primary disease and diagnoses short title of subject name betty campbell? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
... | SELECT demographic.diagnosis, diagnoses.short_title FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Betty Campbell" |
count the number of patients born before the year 2049. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.dob_year < "2049" |
what is the number of patients whose age is less than 68 and lab test fluid is other body fluid? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "68" AND lab.fluid = "Other Body Fluid" |
give me the number of newborn type admission patients who belong to black/haitian ethnic background. | 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 = "NEWBORN" AND demographic.ethnicity = "BLACK/HAITIAN" |
count the number of patients whose admission type is newborn and lab test item id is 51276. | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "NEWBORN" AND lab.itemid = "51276" |
What are the log id and entry description of each problem? | CREATE TABLE problem_status_codes (
problem_status_code text,
problem_status_description text
)
CREATE TABLE problems (
problem_id number,
product_id number,
closure_authorised_by_staff_id number,
reported_by_staff_id number,
date_problem_reported time,
date_problem_closed time,
pro... | SELECT problem_log_id, log_entry_description FROM problem_log |
How many patients born before the year 2170 had a lab test named other cells? | 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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2170" AND lab.label = "Other Cells" |
Show me about the distribution of meter_300 and meter_100 in a bar chart, and I want to show Y from low to high order. | CREATE TABLE record (
ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_400 text,
meter_500 text,
meter_600 text,
meter_700 text,
Time text
)
... | SELECT meter_300, meter_100 FROM swimmer ORDER BY meter_100 |
What are the number of the dates when customers with ids between 10 and 20 became customers?, and order by the the number of date became customer in descending please. | CREATE TABLE Customers (
customer_id INTEGER,
payment_method VARCHAR(15),
customer_name VARCHAR(80),
date_became_customer DATETIME,
other_customer_details VARCHAR(255)
)
CREATE TABLE Customer_Addresses (
customer_id INTEGER,
address_id INTEGER,
date_address_from DATETIME,
address_ty... | SELECT date_became_customer, COUNT(date_became_customer) FROM Customers WHERE customer_id BETWEEN 10 AND 20 ORDER BY COUNT(date_became_customer) DESC |
How many students that has a GPA lower than average? Show me a bar chart grouping by student's first name. | CREATE TABLE DEPARTMENT (
DEPT_CODE varchar(10),
DEPT_NAME varchar(30),
SCHOOL_CODE varchar(8),
EMP_NUM int,
DEPT_ADDRESS varchar(20),
DEPT_EXTENSION varchar(4)
)
CREATE TABLE ENROLL (
CLASS_CODE varchar(5),
STU_NUM int,
ENROLL_GRADE varchar(50)
)
CREATE TABLE CLASS (
CLASS_COD... | SELECT STU_FNAME, COUNT(STU_FNAME) FROM STUDENT WHERE STU_GPA < (SELECT AVG(STU_GPA) FROM STUDENT) GROUP BY STU_FNAME |
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, find hire_date and the sum of manager_id bin hire_date by weekday, and visualize them by a bar chart, I want to sort by the total number in desc. | 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 HIRE_DATE, SUM(MANAGER_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY SUM(MANAGER_ID) DESC |
Show the names of products and the number of events they are in Visualize by bar chart, and could you display from low to high by the X-axis? | CREATE TABLE Channels (
Channel_ID INTEGER,
Other_Details VARCHAR(255)
)
CREATE TABLE Locations (
Location_ID INTEGER,
Other_Details VARCHAR(255)
)
CREATE TABLE Products (
Product_ID INTEGER,
Product_Type_Code CHAR(15),
Product_Name VARCHAR(255),
Product_Price DECIMAL(20,4)
)
CREATE T... | 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 ORDER BY Product_Name |
provide me the number of female patients born before 2087. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob te... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "F" AND demographic.dob_year < "2087" |
what is primary disease 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 procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
... | SELECT demographic.diagnosis FROM demographic WHERE demographic.name = "Jane Dillard" |
return me the number of papers published in the VLDB conference before 2000 . | CREATE TABLE domain_keyword (
did int,
kid int
)
CREATE TABLE cite (
cited int,
citing int
)
CREATE TABLE conference (
cid int,
homepage varchar,
name varchar
)
CREATE TABLE domain (
did int,
name varchar
)
CREATE TABLE publication_keyword (
kid int,
pid int
)
CREATE TAB... | SELECT COUNT(DISTINCT (publication.title)) FROM conference, publication WHERE conference.name = 'VLDB' AND publication.cid = conference.cid AND publication.year < 2000 |
How many courses are provided in each year? Visualize with a line chart, sort in descending by the x axis. | CREATE TABLE instructor (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
salary numeric(8,2)
)
CREATE TABLE section (
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
building varchar(15),
room_number varchar(7),
time_slot_id varchar(... | SELECT year, COUNT(*) FROM section ORDER BY year DESC |
A stacked bar chart about the total number in each competition type, and then split by country, and rank by the y axis in desc please. | CREATE TABLE competition (
Competition_ID int,
Year real,
Competition_type text,
Country text
)
CREATE TABLE competition_result (
Competition_ID int,
Club_ID_1 int,
Club_ID_2 int,
Score text
)
CREATE TABLE club (
Club_ID int,
name text,
Region text,
Start_year text
)
C... | SELECT Country, COUNT(Country) FROM competition GROUP BY Competition_type, Country ORDER BY COUNT(Country) DESC |
How many documents were shipped by USPS? | CREATE TABLE addresses (
address_id number,
address_details text
)
CREATE TABLE ref_document_types (
document_type_code text,
document_type_description text
)
CREATE TABLE draft_copies (
document_id number,
draft_number number,
copy_number number
)
CREATE TABLE circulation_history (
d... | SELECT COUNT(*) FROM ref_shipping_agents JOIN documents ON documents.shipping_agent_code = ref_shipping_agents.shipping_agent_code WHERE ref_shipping_agents.shipping_agent_name = "USPS" |
What is the first name of each student enrolled in class ACCT-211? | CREATE TABLE student (
stu_num number,
stu_lname text,
stu_fname text,
stu_init text,
stu_dob time,
stu_hrs number,
stu_class text,
stu_gpa number,
stu_transfer number,
dept_code text,
stu_phone text,
prof_num number
)
CREATE TABLE department (
dept_code text,
de... | SELECT T3.stu_fname FROM class AS T1 JOIN enroll AS T2 ON T1.class_code = T2.class_code JOIN student AS T3 ON T2.stu_num = T3.stu_num WHERE T1.crs_code = 'ACCT-211' |
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. | 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 employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varcha... | 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) |
How many patients with drug code mica100i have a pleural lab test done? | 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 INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE prescriptions.formulary_drug_cd = "MICA100I" AND lab.fluid = "Pleural" |
count the number of patients with lab test item id 50802 who were admitted before the year 2120. | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2120" AND lab.itemid = "50802" |
how many patients whose gender is m and days of hospital stay is greater than 7? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.gender = "M" AND demographic.days_stay > "7" |
how many patients whose lab test abnormal status is delta and lab test name is phosphate, urine? | 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 lab.flag = "delta" AND lab.label = "Phosphate, Urine" |
What are the distinct move in dates of the residents, and count them by a bar chart, and list by the Y in desc. | CREATE TABLE Organizations (
organization_id INTEGER,
parent_organization_id INTEGER,
organization_details VARCHAR(255)
)
CREATE TABLE Customer_Event_Notes (
Customer_Event_Note_ID INTEGER,
Customer_Event_ID INTEGER,
service_type_code CHAR(15),
resident_id INTEGER,
property_id INTEGER,
... | SELECT date_moved_in, COUNT(date_moved_in) FROM Residents ORDER BY COUNT(date_moved_in) DESC |
For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about manager_id over the last_name , order bar from low to high order. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),... | SELECT LAST_NAME, MANAGER_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY LAST_NAME |
papers before 2010 about character recognition | CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE field (
fieldid int
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE T... | SELECT DISTINCT paper.paperid FROM keyphrase, paper, paperkeyphrase WHERE keyphrase.keyphrasename = 'character recognition' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND paper.year < 2010 |
what is average age of patients whose ethnicity is black/african american and age is greater than or equal to 45? | 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 AVG(demographic.age) FROM demographic WHERE demographic.ethnicity = "BLACK/AFRICAN AMERICAN" AND demographic.age >= "45" |
give me the number of patients whose ethnicity is white and drug route is ivpca? | 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.ethnicity = "WHITE" AND prescriptions.route = "IVPCA" |
For those employees who did not have any job in the past, give me the comparison about the average of employee_id over the job_id , and group by attribute job_id by a bar chart, display in ascending by the X-axis. | CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
... | SELECT JOB_ID, AVG(EMPLOYEE_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID ORDER BY JOB_ID |
what is the number of patients whose admission year is less than 2172 and diagnoses long title is other persistent mental disorders due to conditions classified elsewhere? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admityear < "2172" AND diagnoses.long_title = "Other persistent mental disorders due to conditions classified elsewhere" |
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 employee_id bin hire_date by time, and I want to order total number in desc order. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0... | SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY AVG(EMPLOYEE_ID) DESC |
for patients id 2560, specify the icd9 code and primary disease. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT demographic.diagnosis, procedures.short_title FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.subject_id = "2560" |
mention the discharge time and diagnosis icd9 code of subject id 42820. | 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 demographic.dischtime, diagnoses.icd9_code FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "42820" |
what is date of birth and drug type of subject name jerry deberry? | 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.dob, prescriptions.drug_type FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.name = "Jerry Deberry" |
which language does cynthia gomez understand? | 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.language FROM demographic WHERE demographic.name = "Cynthia Gomez" |
What are the names and data types of the characteristics of the 'cumin' product? | CREATE TABLE product_characteristics (
product_id number,
characteristic_id number,
product_characteristic_value text
)
CREATE TABLE ref_product_categories (
product_category_code text,
product_category_description text,
unit_of_measure text
)
CREATE TABLE ref_characteristic_types (
charac... | SELECT t3.characteristic_name, t3.characteristic_data_type FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN characteristics AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t1.product_name = "cumin" |
What is every bus type for the texture of fillrate? | CREATE TABLE table_73708 (
"Model" text,
"Launch" text,
"Model Number" text,
"Code name" text,
"Fab ( nm )" text,
"Bus interface" text,
"Memory ( MiB )" text,
"Core clock ( MHz )" text,
"Memory clock ( MHz )" text,
"Config core 1" text,
"Pixel ( GP /s)" text,
"Texture ( G... | SELECT "Bus type" FROM table_73708 WHERE "Texture ( GT /s)" = 'Fillrate' |
count the number of patients whose admission year is less than 2150 and lab test name is cortisol? | 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 < "2150" AND lab.label = "Cortisol" |
How many patients categorized under a chemistry lab test are diagnosed with esophageal varices in diseases classified elsewhere (with bleeding)? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Bleed esoph var oth dis" AND lab."CATEGORY" = "Chemistry" |
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