instruction stringlengths 11 446 | input stringlengths 195 2.3k | response stringlengths 26 460 |
|---|---|---|
give me the number of patients whose days of hospital stay is greater than 0 and drug name is heparin sodium (preservative free)? | 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 demographic.days_stay > "0" AND prescriptions.drug = "Heparin Sodium (Preservative Free)" |
Count the number of divorced patients who had tacrofk lab tests done. | 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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "DIVORCED" AND lab.label = "tacroFK" |
let me know the short title of diagnoses for the patient with patient id 21796. | 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 diagnoses.short_title FROM diagnoses WHERE diagnoses.subject_id = "21796" |
Return a pie on how many departments are in each school? | CREATE TABLE STUDENT (
STU_NUM int,
STU_LNAME varchar(15),
STU_FNAME varchar(15),
STU_INIT varchar(1),
STU_DOB datetime,
STU_HRS int,
STU_CLASS varchar(2),
STU_GPA float(8),
STU_TRANSFER numeric,
DEPT_CODE varchar(18),
STU_PHONE varchar(4),
PROF_NUM int
)
CREATE TABLE EN... | SELECT SCHOOL_CODE, COUNT(DISTINCT DEPT_NAME) FROM DEPARTMENT |
specify duration of hospital stay and drug route of patient gus marques | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
... | SELECT demographic.days_stay, prescriptions.route FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.name = "Gus Marques" |
Show the number of courses for each course description in a stacked bar chart The x-axis is course description and group by office name, and list in descending by the x-axis. | CREATE TABLE PROFESSOR (
EMP_NUM int,
DEPT_CODE varchar(10),
PROF_OFFICE varchar(50),
PROF_EXTENSION varchar(4),
PROF_HIGH_DEGREE varchar(5)
)
CREATE TABLE COURSE (
CRS_CODE varchar(10),
DEPT_CODE varchar(10),
CRS_DESCRIPTION varchar(35),
CRS_CREDIT float(8)
)
CREATE TABLE CLASS (
... | SELECT CRS_DESCRIPTION, COUNT(CRS_DESCRIPTION) FROM CLASS AS T1 JOIN EMPLOYEE AS T2 ON T1.PROF_NUM = T2.EMP_NUM JOIN COURSE AS T3 ON T1.CRS_CODE = T3.CRS_CODE JOIN PROFESSOR AS T4 ON T2.EMP_NUM = T4.EMP_NUM GROUP BY PROF_OFFICE, CRS_DESCRIPTION ORDER BY CRS_DESCRIPTION DESC |
how many patients are admitted under emergency and are diagnosed with urinary incontinence, unspecified? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND diagnoses.long_title = "Urinary incontinence, unspecified" |
how many female patients had the procedure long title percutaneous transluminal coronary angioplasty (ptca)? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.gender = "F" AND procedures.long_title = "Percutaneous transluminal coronary angioplasty [PTCA]" |
calculate the average age of living patients who had home health care discharge. | 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 AVG(demographic.age) FROM demographic WHERE demographic.expire_flag = "0" AND demographic.discharge_location = "HOME HEALTH CARE" |
Which catalog contents has price above 700 dollars? Show their catalog entry names and capacities, list in desc by the x-axis. | CREATE TABLE Catalog_Contents_Additional_Attributes (
catalog_entry_id INTEGER,
catalog_level_number INTEGER,
attribute_id INTEGER,
attribute_value VARCHAR(255)
)
CREATE TABLE Catalog_Structure (
catalog_level_number INTEGER,
catalog_id INTEGER,
catalog_level_name VARCHAR(50)
)
CREATE TABL... | SELECT catalog_entry_name, capacity FROM Catalog_Contents WHERE price_in_dollars > 700 ORDER BY catalog_entry_name DESC |
provide the number of patients whose admission location is phys referral/normal deli and diagnoses short title is 29-30 comp wks gestation? | 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 WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND diagnoses.short_title = "29-30 comp wks gestation" |
what is the number of patients whose admission type is emergency and with lab test name lymphocytes percent? | 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.admission_type = "EMERGENCY" AND lab.label = "Lymphocytes, Percent" |
Bar graph to show the average of product price from different product category code | CREATE TABLE Complaints (
complaint_id INTEGER,
product_id INTEGER,
customer_id INTEGER,
complaint_outcome_code VARCHAR(20),
complaint_status_code VARCHAR(20),
complaint_type_code VARCHAR(20),
date_complaint_raised DATETIME,
date_complaint_closed DATETIME,
staff_id INTEGER
)
CREATE ... | SELECT product_category_code, AVG(product_price) FROM Products GROUP BY product_category_code |
For those employees who did not have any job in the past, show me about the distribution of job_id and the average of employee_id , and group by attribute job_id in a bar chart. | CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END... | SELECT JOB_ID, AVG(EMPLOYEE_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID |
How many widow patients have had an albumin urine lab test done? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "WIDOWED" AND lab.label = "Albumin, Urine" |
Show me a bar chart for what are the different transaction types, and how many transactions of each have taken place? | CREATE TABLE Financial_Transactions (
transaction_id INTEGER,
previous_transaction_id INTEGER,
account_id INTEGER,
card_id INTEGER,
transaction_type VARCHAR(15),
transaction_date DATETIME,
transaction_amount DOUBLE,
transaction_comment VARCHAR(255),
other_transaction_details VARCHAR(... | SELECT transaction_type, COUNT(*) FROM Financial_Transactions GROUP BY transaction_type |
count the number of patients whose primary disease is s/p hanging? | 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 = "S/P HANGING" |
count the number of patients whose primary disease is st elevated myocardial infarction/cardiac ccath and procedure icd9 code is 9465. | 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.diagnosis = "ST ELEVATED MYOCARDIAL INFARCTION\CARDIAC CATH" AND procedures.icd9_code = "9465" |
how many patients stayed in hospital for more than 6 days and were diagnosed with orthostatic hypertension? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
C... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "6" AND diagnoses.short_title = "Orthostatic hypotension" |
For those employees who was hired before 2002-06-21, visualize a bar chart about the distribution of hire_date and the average of employee_id bin hire_date by weekday. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY ... | SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' |
Calculate the total number of patients from hispanic or latino or puertorican ethnic origin who remained admitted in the hospital for more than 17 days. | 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.ethnicity = "HISPANIC/LATINO - PUERTO RICAN" AND demographic.days_stay > "17" |
What is the number of days that had an average humity above 50 and an average visibility above 8? | CREATE TABLE trip (
id number,
duration number,
start_date text,
start_station_name text,
start_station_id number,
end_date text,
end_station_name text,
end_station_id number,
bike_id number,
subscription_type text,
zip_code number
)
CREATE TABLE station (
id number,
... | SELECT COUNT(*) FROM weather WHERE mean_humidity > 50 AND mean_visibility_miles > 8 |
what is the average age of patients who are discharged due to home health care and diagnosed with primary disease gastrointestinal bleed? | 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.discharge_location = "HOME HEALTH CARE" AND demographic.diagnosis = "GASTROINTESTINAL BLEED" |
give me the number of patients whose gender is f and lab test name is pt? | 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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.gender = "F" AND lab.label = "PT" |
give me the number of patients whose admission type is elective and procedure long title is other operations on heart and pericardium? | 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.admission_type = "ELECTIVE" AND procedures.long_title = "Other operations on heart and pericardium" |
datasets for knn | CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE paperfield (
fieldid int,
pape... | SELECT DISTINCT dataset.datasetid FROM dataset, keyphrase, paperdataset, paperkeyphrase WHERE keyphrase.keyphrasename = 'knn' AND paperdataset.datasetid = dataset.datasetid AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paperkeyphrase.paperid = paperdataset.paperid |
how many patients whose marital status is single and diagnoses long title is late effects of cerebrovascular disease, hemiplegia affecting unspecified side? | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.marital_status = "SINGLE" AND diagnoses.long_title = "Late effects of cerebrovascular disease, hemiplegia affecting unspecified side" |
number of papers in sigir conference | CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE writes (
paperid int,
authorid int
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE field (
fieldid int
)
CREATE TABLE keyphr... | SELECT DISTINCT COUNT(paper.paperid) FROM paper, venue WHERE venue.venueid = paper.venueid AND venue.venuename = 'sigir' |
what is the number of patients whose insurance is self pay and days of hospital stay is greater than 30? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.insurance = "Self Pay" AND demographic.days_stay > "30" |
what is the marital status and days of hospital stay of subject id 6983? | 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.marital_status, demographic.days_stay FROM demographic WHERE demographic.subject_id = "6983" |
how many patients died on or before 2133? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.dod_year <= "2133.0" |
Return a scatter chart on how many distinct order ids correspond to each product? | CREATE TABLE Invoices (
invoice_number INTEGER,
order_id INTEGER,
invoice_date DATETIME
)
CREATE TABLE Customers (
customer_id INTEGER,
customer_first_name VARCHAR(50),
customer_middle_initial VARCHAR(1),
customer_last_name VARCHAR(50),
gender VARCHAR(1),
email_address VARCHAR(255),... | SELECT product_id, COUNT(DISTINCT order_id) FROM Order_Items |
give me the number of patients whose diagnoses long title is unspecified hereditary and idiopathic peripheral neuropathy and drug type is base? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescription... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Unspecified hereditary and idiopathic peripheral neuropathy" AND prescriptions.drug_type = ... |
Visualize a bar chart for simply displaying the email address of the employee and the corresponding salary, and order in desc by the X please. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE T... | SELECT EMAIL, SALARY FROM employees ORDER BY EMAIL DESC |
how many patients whose ethnicity is white and item id is 51269? | 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.ethnicity = "WHITE" AND lab.itemid = "51269" |
Find the attribute data type for the attribute named 'Green'. | CREATE TABLE catalog_contents_additional_attributes (
catalog_entry_id number,
catalog_level_number number,
attribute_id number,
attribute_value text
)
CREATE TABLE attribute_definitions (
attribute_id number,
attribute_name text,
attribute_data_type text
)
CREATE TABLE catalog_contents (
... | SELECT attribute_data_type FROM attribute_definitions WHERE attribute_name = "Green" |
count the number of patients whose admission location is emergency room admit and procedure short title is cardiac rhythm conv nec? | 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_location = "EMERGENCY ROOM ADMIT" AND procedures.short_title = "Cardiac rhythm conv NEC" |
how many patients whose year of birth is less than 2123 and lab test abnormal status is abnormal? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic ... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2123" AND lab.flag = "abnormal" |
Find all dates of the logs for the problem whose id is 10, show me a bar chart that bins the dates into the weekday interval, and counts the dates, and I want to show from high to low by the y axis. | CREATE TABLE Staff (
staff_id INTEGER,
staff_first_name VARCHAR(80),
staff_last_name VARCHAR(80),
other_staff_details VARCHAR(255)
)
CREATE TABLE Problems (
problem_id INTEGER,
product_id INTEGER,
closure_authorised_by_staff_id INTEGER,
reported_by_staff_id INTEGER,
date_problem_rep... | SELECT log_entry_date, COUNT(log_entry_date) FROM Problem_Log WHERE problem_id = 10 ORDER BY COUNT(log_entry_date) DESC |
Show the number of documents for different budget type code in a bar chart, show in ascending by the total number. | CREATE TABLE Documents (
Document_ID INTEGER,
Document_Type_Code CHAR(15),
Project_ID INTEGER,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255)
)
CREATE TABLE Projects (
Project_ID INTEGER,
Project_Details VARCHAR(255)... | SELECT T1.Budget_Type_Code, COUNT(T1.Budget_Type_Code) FROM Documents_with_Expenses AS T1 JOIN Ref_Budget_Codes AS T2 ON T1.Budget_Type_Code = T2.Budget_Type_Code GROUP BY T1.Budget_Type_Code ORDER BY COUNT(T1.Budget_Type_Code) |
what is the number of patients whose year of birth is less than 2043 and lab test fluid is 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 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.dob_year < "2043" AND lab.fluid = "Urine" |
Give me a list of cities whose temperature in Mar is lower than that in July and which have also served as host cities? | CREATE TABLE match (
match_id number,
date text,
venue text,
score text,
result text,
competition text
)
CREATE TABLE city (
city_id number,
city text,
hanzi text,
hanyu_pinyin text,
regional_population number,
gdp number
)
CREATE TABLE hosting_city (
year number,
... | SELECT T1.city FROM city AS T1 JOIN temperature AS T2 ON T1.city_id = T2.city_id WHERE T2.mar < T2.jul INTERSECT SELECT T3.city FROM city AS T3 JOIN hosting_city AS T4 ON T3.city_id = T4.host_city |
which patients have item id 50971? | 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 lab.itemid = "50971" |
count the number of patients whose days of hospital stay is greater than 1 and item id is 51257? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "1" AND lab.itemid = "51257" |
How many orders in each weekday? Return a bar chart to show. | CREATE TABLE Customer_Addresses (
customer_id INTEGER,
address_id INTEGER,
date_address_from DATETIME,
address_type VARCHAR(15),
date_address_to DATETIME
)
CREATE TABLE Customer_Contact_Channels (
customer_id INTEGER,
channel_code VARCHAR(15),
active_from_date DATETIME,
active_to_da... | SELECT order_date, COUNT(order_date) FROM Customers AS t1 JOIN Customer_Orders AS t2 ON t1.customer_id = t2.customer_id WHERE order_status = "Delivered" |
What is the most cited paper of behcet acikmese ? | CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE field (
fieldid int
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid ... | SELECT DISTINCT cite.citedpaperid, COUNT(cite.citedpaperid) FROM author, cite, paper, writes WHERE author.authorname = 'behcet acikmese' AND paper.paperid = cite.citedpaperid AND writes.authorid = author.authorid AND writes.paperid = paper.paperid GROUP BY cite.citedpaperid ORDER BY COUNT(cite.citedpaperid) DESC |
Give me a bar chart to show how many days with a max temperature greater than or equal to 80 for each year. | 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 date, COUNT(date) FROM weather WHERE max_temperature_f >= 80 |
provide the number of patients with delta abnormal lab test status who have benign neoplasm of pituitary gland and craniopharyngeal duct diagnoses. | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.long_title = "Benign neoplasm of pituitary gland and craniopharyngeal duct" AND lab.flag = "delta" |
find the diagnoses title and description of diagnoses icd9 code 7761. | 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 diagnoses.short_title, diagnoses.long_title FROM diagnoses WHERE diagnoses.icd9_code = "7761" |
papers using WordNet or Dbpedia | CREATE TABLE field (
fieldid int
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE cite (
... | SELECT DISTINCT paper.paperid FROM dataset, paper, paperdataset WHERE dataset.datasetname IN ('WordNet', 'Dbpedia') AND paperdataset.datasetid = dataset.datasetid AND paper.paperid = paperdataset.paperid GROUP BY paper.paperid |
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 hire_date and the average of salary bin hire_date by time, and I want to list by the mean salary in asc. | 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(SALARY) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY AVG(SALARY) |
provide the lab test category of subject id 6983. | 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 lab."CATEGORY" FROM lab WHERE lab.subject_id = "6983" |
Find the number of students who is older than 20 in each dorm. Plot them as bar chart. | CREATE TABLE Has_amenity (
dormid INTEGER,
amenid INTEGER
)
CREATE TABLE Dorm_amenity (
amenid INTEGER,
amenity_name VARCHAR(25)
)
CREATE TABLE Lives_in (
stuid INTEGER,
dormid INTEGER,
room_number INTEGER
)
CREATE TABLE Student (
StuID INTEGER,
LName VARCHAR(12),
Fname VARCHA... | SELECT dorm_name, COUNT(*) FROM Student AS T1 JOIN Lives_in AS T2 ON T1.stuid = T2.stuid JOIN Dorm AS T3 ON T3.dormid = T2.dormid WHERE T1.Age > 20 GROUP BY T3.dorm_name |
Show the number of documents in different starting date. Bin starting date by weekday and group by location code with a stacked bar chart. | CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME,
Day_Number INTEGER
)
CREATE TABLE All_Documents (
Document_ID INTEGER,
Date_Stored DATETIME,
Document_Type_Code CHAR(15),
Document_Name CHAR(255),
Document_Description CHAR(255),
Other_Details VARCHAR(255)
)
CREATE TABLE Documents_to_... | SELECT Date_in_Location_From, COUNT(Date_in_Location_From) FROM Document_Locations GROUP BY Location_Code |
For each customer status code, how many customers are classified that way Visualize by bar chart, and display in ascending by the bar. | CREATE TABLE Lessons (
lesson_id INTEGER,
customer_id INTEGER,
lesson_status_code VARCHAR(15),
staff_id INTEGER,
vehicle_id INTEGER,
lesson_date DATETIME,
lesson_time VARCHAR(10),
price DOUBLE
)
CREATE TABLE Addresses (
address_id INTEGER,
line_1_number_building VARCHAR(80),
... | SELECT customer_status_code, COUNT(*) FROM Customers GROUP BY customer_status_code ORDER BY customer_status_code |
For those employees who did not have any job in the past, draw a scatter chart about the correlation between manager_id and department_id . | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE T... | SELECT MANAGER_ID, DEPARTMENT_ID FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) |
how many patients below 77 years of age have undergone the procedure with short title percu endosc gastrostomy? | 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.age < "77" AND procedures.short_title = "Percu endosc gastrostomy" |
count the number of patients whose diagnoses long title is tietze's disease 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Tietze's disease" AND prescriptions.drug_type = "BASE" |
mention the diagnosis short title of diagnosis icd9 code 3671. | 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 diagnoses.short_title FROM diagnoses WHERE diagnoses.icd9_code = "3671" |
What are total transaction amounts for each transaction type, and show transaction_type in asc order. | CREATE TABLE Orders (
order_id INTEGER,
customer_id INTEGER,
date_order_placed DATETIME,
order_details VARCHAR(255)
)
CREATE TABLE Accounts (
account_id INTEGER,
customer_id INTEGER,
date_account_opened DATETIME,
account_name VARCHAR(50),
other_account_details VARCHAR(255)
)
CREATE... | SELECT transaction_type, SUM(transaction_amount) FROM Financial_Transactions GROUP BY transaction_type ORDER BY transaction_type |
Which policy type has the most records in the database? | CREATE TABLE customers (
customer_id number,
customer_name text
)
CREATE TABLE settlements (
settlement_id number,
claim_id number,
effective_date time,
settlement_amount number
)
CREATE TABLE services (
service_id number,
service_name text
)
CREATE TABLE customers_policies (
cust... | SELECT policy_type_code FROM available_policies GROUP BY policy_type_code ORDER BY COUNT(*) DESC LIMIT 1 |
how many patients whose year of birth is less than 1846 and drug type is additive? | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "1846" AND prescriptions.drug_type = "ADDITIVE" |
Count the number of married patients who had a wbc pleural lab test done. | 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.marital_status = "MARRIED" AND lab.label = "WBC, Pleural" |
A bar chart for what are the number of the purchase details of transactions with amount bigger than 10000?, and could you rank in asc by the the number of purchase details? | CREATE TABLE Purchases (
purchase_transaction_id INTEGER,
purchase_details VARCHAR(255)
)
CREATE TABLE Ref_Transaction_Types (
transaction_type_code VARCHAR(10),
transaction_type_description VARCHAR(80)
)
CREATE TABLE Transactions (
transaction_id INTEGER,
investor_id INTEGER,
transaction_... | SELECT purchase_details, COUNT(purchase_details) FROM Purchases AS T1 JOIN Transactions AS T2 ON T1.purchase_transaction_id = T2.transaction_id WHERE T2.amount_of_transaction > 10000 GROUP BY purchase_details ORDER BY COUNT(purchase_details) |
give me the number of patients whose admission type is urgent and procedure short title is lap periton adhesiolysis? | 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 demographic.admission_type = "URGENT" AND procedures.short_title = "Lap periton adhesiolysis" |
how many patients whose admission location is transfer from hosp/extram and admission year is less than 2167? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.admission_location = "TRANSFER FROM HOSP/EXTRAM" AND demographic.admityear < "2167" |
How many patients were born before the year 2097 and have procedure icd9 code 2501? | 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 demographic.dob_year < "2097" AND procedures.icd9_code = "2501" |
What are the first names, office locations, and departments of all instructors, and also what are the descriptions of the courses they teach? | CREATE TABLE employee (
emp_num number,
emp_lname text,
emp_fname text,
emp_initial text,
emp_jobcode text,
emp_hiredate time,
emp_dob time
)
CREATE TABLE course (
crs_code text,
dept_code text,
crs_description text,
crs_credit number
)
CREATE TABLE department (
dept_co... | SELECT T2.emp_fname, T4.prof_office, T3.crs_description, T5.dept_name FROM class AS T1 JOIN employee AS T2 ON T1.prof_num = T2.emp_num JOIN course AS T3 ON T1.crs_code = T3.crs_code JOIN professor AS T4 ON T2.emp_num = T4.emp_num JOIN department AS T5 ON T4.dept_code = T5.dept_code |
Show me a bar chart for what are the ids and details for all organizations that have grants of more than 6000 dollars?, could you sort y axis in desc order? | CREATE TABLE Grants (
grant_id INTEGER,
organisation_id INTEGER,
grant_amount DECIMAL(19,4),
grant_start_date DATETIME,
grant_end_date DATETIME,
other_details VARCHAR(255)
)
CREATE TABLE Tasks (
task_id INTEGER,
project_id INTEGER,
task_details VARCHAR(255),
"eg Agree Objectives... | SELECT T2.organisation_details, T1.organisation_id FROM Grants AS T1 JOIN Organisations AS T2 ON T1.organisation_id = T2.organisation_id GROUP BY T2.organisation_details ORDER BY T1.organisation_id DESC |
Out of total number of patients admitted in or after the year 2190, how many of them were married? | 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 MAX(demographic.age) FROM demographic WHERE demographic.marital_status = "MARRIED" AND demographic.admityear >= "2190" |
how many patients who follow christian scientist religion had a lab test reticulocyte count, manual? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic ... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.religion = "CHRISTIAN SCIENTIST" AND lab.label = "Reticulocyte Count, Manual" |
Find the number of vocal types used in song 'Demon Kitty Rag'? | CREATE TABLE performance (
songid number,
bandmate number,
stageposition text
)
CREATE TABLE tracklists (
albumid number,
position number,
songid number
)
CREATE TABLE band (
id number,
firstname text,
lastname text
)
CREATE TABLE songs (
songid number,
title text
)
CREAT... | SELECT COUNT(*) FROM vocals AS T1 JOIN songs AS T2 ON T1.songid = T2.songid WHERE title = "Demon Kitty Rag" |
What is the date of birth and primary disease of David Trammell? | 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.dob, demographic.diagnosis FROM demographic WHERE demographic.name = "David Trammell" |
What is the name of organization that has the greatest number of contact individuals? | CREATE TABLE organizations (
organization_id number,
date_formed time,
organization_name text,
uk_vat_number text
)
CREATE TABLE party_addresses (
party_id number,
address_id number,
date_address_from time,
address_type_code text,
date_address_to time
)
CREATE TABLE parties (
p... | SELECT t1.organization_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id GROUP BY t1.organization_name ORDER BY COUNT(*) DESC LIMIT 1 |
what is the number of patients whose lab test name is gentamicin? | 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 = "Gentamicin" |
count the number of patients whose gender is m and diagnoses icd9 code is 591? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "M" AND diagnoses.icd9_code = "591" |
What is the name of customers who do not use Cash as payment method. | CREATE TABLE customers (
customer_id number,
payment_method text,
customer_name text,
date_became_customer time,
other_customer_details text
)
CREATE TABLE products (
product_id number,
product_details text
)
CREATE TABLE customer_orders (
order_id number,
customer_id number,
o... | SELECT customer_name FROM customers WHERE payment_method <> 'Cash' |
count the number of patients born before 2073 who have iv route of drug administration. | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2073" AND prescriptions.route = "IV" |
what is minimum age of patients whose language is cape and primary disease is complete heart block? | 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 MIN(demographic.age) FROM demographic WHERE demographic.language = "CAPE" AND demographic.diagnosis = "COMPLETE HEART BLOCK" |
What are the number of the dates in which the mean sea level pressure was between 30.3 and 31? | 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 station (
id INTEG... | SELECT date, COUNT(date) FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31 |
tell me the age and religious background of patient with patient id 1121. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT demographic.age, demographic.religion FROM demographic WHERE demographic.subject_id = "1121" |
How many order items correspond to each order id. Plot them as scatter chart. | CREATE TABLE Invoice_Line_Items (
order_item_id INTEGER,
invoice_number INTEGER,
product_id INTEGER,
product_title VARCHAR(80),
product_quantity VARCHAR(50),
product_price DECIMAL(19,4),
derived_product_cost DECIMAL(19,4),
derived_vat_payable DECIMAL(19,4),
derived_total_cost DECIMAL... | SELECT order_id, COUNT(*) FROM Order_Items GROUP BY order_id |
For those employees who do not work in departments with managers that have ids between 100 and 200, a bar chart shows the distribution of job_id and salary , and order by the X in descending. | CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE T... | SELECT JOB_ID, SALARY FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY JOB_ID DESC |
what is language of subject id 3343? | 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.language FROM demographic WHERE demographic.subject_id = "3343" |
give me the number of patients whose admission location is emergency room admit and procedure short title is closed biopsy of tongue? | 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 demographic.admission_location = "EMERGENCY ROOM ADMIT" AND procedures.short_title = "Closed biopsy of tongue" |
what is the minimum age of single patients with admission in or after the year 2158? | 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 MIN(demographic.age) FROM demographic WHERE demographic.marital_status = "SINGLE" AND demographic.admityear >= "2158" |
how many patients whose discharge location is home health care and days of hospital stay is greater than 10? | 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 = "HOME HEALTH CARE" AND demographic.days_stay > "10" |
For those employees who did not have any job in the past, visualize a bar chart about the distribution of job_id and the sum of department_id , and group by attribute job_id, and could you rank by the total number of department id in asc? | 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 departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
... | SELECT JOB_ID, SUM(DEPARTMENT_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) GROUP BY JOB_ID ORDER BY SUM(DEPARTMENT_ID) |
find the number of patients who were electively admitted to hospital before the year 2176. | 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 WHERE demographic.admission_type = "ELECTIVE" AND demographic.admityear < "2176" |
calculate the number of patients with personality disorder nos who had a hospital stay for more than 5 days. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location t... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.days_stay > "5" AND diagnoses.short_title = "Personality disorder NOS" |
Get me the number of married patients who have been diagnosed with uncontrolled diabetes with hyperosmolarity, type II or unspecified. | 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.marital_status = "MARRIED" AND diagnoses.short_title = "DMII hprosmlr uncontrold" |
Give me a histogram for what is the number of professors for different school?, list by the the total number in desc. | 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 STUDENT (
STU_NUM int,
STU_LNAME varchar(15),
STU_FNAME varchar(15),
STU_INIT varchar(1),
STU_DOB d... | SELECT SCHOOL_CODE, COUNT(*) FROM DEPARTMENT AS T1 JOIN PROFESSOR AS T2 ON T1.DEPT_CODE = T2.DEPT_CODE GROUP BY T1.SCHOOL_CODE ORDER BY COUNT(*) DESC |
which patients are covered under medicare health insurance? | 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.insurance = "Medicare" |
A bar chart for listing the number of the research staff details, and order in ascending order. | CREATE TABLE Staff_Roles (
role_code VARCHAR(10),
role_description VARCHAR(255)
)
CREATE TABLE Tasks (
task_id INTEGER,
project_id INTEGER,
task_details VARCHAR(255),
"eg Agree Objectives" VARCHAR(1)
)
CREATE TABLE Organisation_Types (
organisation_type VARCHAR(10),
organisation_type_d... | SELECT staff_details, COUNT(staff_details) FROM Research_Staff GROUP BY staff_details ORDER BY staff_details |
count the number of patients whose diagnoses icd9 code is 41031 and lab test fluid is ascites? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,... | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "41031" AND lab.fluid = "Ascites" |
how many patients whose insurance is government and lab test name is po2? | 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.insurance = "Government" AND lab.label = "pO2" |
how many of the patients diagnosed with sepsis received ed therapy? | 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Sepsis" AND prescriptions.route = "ED" |
Return a bar chart about the distribution of Nationality and the amount of Nationality , and group by attribute Nationality, and order x-axis in ascending order. | CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
)
CREATE TABLE record (
ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
CREATE TABLE swimme... | SELECT Nationality, COUNT(Nationality) FROM swimmer GROUP BY Nationality ORDER BY Nationality |
For those employees who was hired before 2002-06-21, show me about the distribution of hire_date and the sum of salary bin hire_date by time in a bar chart, sort from high to low by the y axis. | CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
... | SELECT HIRE_DATE, SUM(SALARY) FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY SUM(SALARY) DESC |
For all employees who have the letters D or S in their first name, return a bar chart about the distribution of hire_date and the average of employee_id bin hire_date by time. | 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, AVG(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%' |
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