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|---|---|---|---|---|---|
What is John Shadegg's First Elected date?
|
CREATE TABLE table_60095 (
"District" text,
"Incumbent" text,
"Party" text,
"First elected" real,
"Results" text
)
|
SELECT AVG("First elected") FROM table_60095 WHERE "Incumbent" = 'john shadegg'
|
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For those records from the products and each product's manufacturer, visualize the relationship between manufacturer and revenue .
|
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
|
SELECT Manufacturer, Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code
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How old were Mitchell & Jessica when they danced the Cha-Cha-Cha?
|
CREATE TABLE table_name_48 (
ages VARCHAR,
dance VARCHAR,
pair VARCHAR
)
|
SELECT ages FROM table_name_48 WHERE dance = "cha-cha-cha" AND pair = "mitchell & jessica"
|
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What's Brazil's lane with a time less than 21.15?
|
CREATE TABLE table_name_55 (lane INTEGER, nationality VARCHAR, time VARCHAR)
|
SELECT MIN(lane) FROM table_name_55 WHERE nationality = "brazil" AND time < 21.15
|
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In how many rounds did USC participate in?
|
CREATE TABLE table_name_72 (round VARCHAR, college VARCHAR)
|
SELECT COUNT(round) FROM table_name_72 WHERE college = "usc"
|
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How many ranks had marcin mroczek as the celebrity in a season more recent than 4?
|
CREATE TABLE table_name_13 (
rank VARCHAR,
celebrity VARCHAR,
season VARCHAR
)
|
SELECT COUNT(rank) FROM table_name_13 WHERE celebrity = "marcin mroczek" AND season > 4
|
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Bar chart of department_id from each first name
|
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE 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(4,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE 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 TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
|
SELECT FIRST_NAME, DEPARTMENT_ID FROM employees
|
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[
3,
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14196,
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567,
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11810,
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21680,
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] |
A visualization to show the headquarter and revenue of all manufacturers sorted by their revenue in the descending order.
|
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
|
SELECT Headquarter, Revenue FROM Manufacturers ORDER BY Revenue DESC
|
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[
3,
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3642,
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6,
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21680,
15248,
7,
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272,
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] |
Which Year is the lowest when the Viewers are 13.7 million?
|
CREATE TABLE table_name_7 (
year INTEGER,
viewers VARCHAR
)
|
SELECT MIN(year) FROM table_name_7 WHERE viewers = "13.7 million"
|
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What is the weight of the person born in 1980?
|
CREATE TABLE table_name_63 (weight VARCHAR, born VARCHAR)
|
SELECT weight FROM table_name_63 WHERE born = "1980"
|
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Who had the highest points of the game on May 27?
|
CREATE TABLE table_name_26 (
high_points VARCHAR,
date VARCHAR
)
|
SELECT high_points FROM table_name_26 WHERE date = "may 27"
|
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Find the id and color description of the products with at least 2 characteristics.
|
CREATE TABLE product_characteristics (product_id VARCHAR); CREATE TABLE ref_colors (color_description VARCHAR, color_code VARCHAR); CREATE TABLE products (product_id VARCHAR, color_code VARCHAR)
|
SELECT t1.product_id, t2.color_description FROM products AS t1 JOIN ref_colors AS t2 ON t1.color_code = t2.color_code JOIN product_characteristics AS t3 ON t1.product_id = t3.product_id GROUP BY t1.product_id HAVING COUNT(*) >= 2
|
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Which opponent has a Surface of clay, an Outcome of winner, a Tournament of bogot , and a Score of 6 0, 6 4?
|
CREATE TABLE table_68552 (
"Outcome" text,
"Date" text,
"Tournament" text,
"Surface" text,
"Opponent" text,
"Score" text
)
|
SELECT "Opponent" FROM table_68552 WHERE "Surface" = 'clay' AND "Outcome" = 'winner' AND "Tournament" = 'bogotá' AND "Score" = '6–0, 6–4'
|
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With a FHFreepressreport of 54, and ne as ONIsocialfiltering, what is the ONItoolsfiltering?
|
CREATE TABLE table_name_62 (onitoolsfiltering VARCHAR, fhfreepressreport VARCHAR, onisocialfiltering VARCHAR)
|
SELECT onitoolsfiltering FROM table_name_62 WHERE fhfreepressreport = "54" AND onisocialfiltering = "ne"
|
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Which club lost 10 games ?
|
CREATE TABLE table_name_93 (club VARCHAR, lost VARCHAR)
|
SELECT club FROM table_name_93 WHERE lost = "10"
|
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What are the names of all campuses located at Chico?
|
CREATE TABLE campuses (
id number,
campus text,
location text,
county text,
year number
)
CREATE TABLE csu_fees (
campus number,
year number,
campusfee number
)
CREATE TABLE faculty (
campus number,
year number,
faculty number
)
CREATE TABLE enrollments (
campus number,
year number,
totalenrollment_ay number,
fte_ay number
)
CREATE TABLE discipline_enrollments (
campus number,
discipline number,
year number,
undergraduate number,
graduate number
)
CREATE TABLE degrees (
year number,
campus number,
degrees number
)
|
SELECT campus FROM campuses WHERE location = "Chico"
|
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Which Rebuilt has a Builder of derby, and a Name as rebuilt of ben madigan?
|
CREATE TABLE table_name_64 (
rebuilt VARCHAR,
builder VARCHAR,
name_as_rebuilt VARCHAR
)
|
SELECT rebuilt FROM table_name_64 WHERE builder = "derby" AND name_as_rebuilt = "ben madigan"
|
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What is the nhl team when the college, junior, club team is toronto marlboros (ohl) and the position is centre?
|
CREATE TABLE table_2679061_2 (nhl_team VARCHAR, college_junior_club_team VARCHAR, position VARCHAR)
|
SELECT nhl_team FROM table_2679061_2 WHERE college_junior_club_team = "Toronto Marlboros (OHL)" AND position = "Centre"
|
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How many episodes had their first air date on March 6, 2008?
|
CREATE TABLE table_11220799_2 (
episode_titles VARCHAR,
first_air_date VARCHAR
)
|
SELECT COUNT(episode_titles) FROM table_11220799_2 WHERE first_air_date = "March 6, 2008"
|
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In what series did the driver get 30 points?
|
CREATE TABLE table_21297652_1 (series VARCHAR, points VARCHAR)
|
SELECT series FROM table_21297652_1 WHERE points = 30
|
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-100,
-100,
-100
] |
What was St Kilda's score as the Away team?
|
CREATE TABLE table_name_59 (
away_team VARCHAR
)
|
SELECT away_team AS score FROM table_name_59 WHERE away_team = "st kilda"
|
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What is the chassis of Officine Alfieri Maserati with a Maserati Straight-6 engine and fewer than 6 points?
|
CREATE TABLE table_67244 (
"Year" real,
"Entrant" text,
"Chassis" text,
"Engine" text,
"Points" real
)
|
SELECT "Chassis" FROM table_67244 WHERE "Engine" = 'maserati straight-6' AND "Entrant" = 'officine alfieri maserati' AND "Points" < '6'
|
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When 1-1-0-0-1-1-0-0- is the graphical how many ignition timings are there?
|
CREATE TABLE table_22915134_2 (
ignition_timing VARCHAR,
graphical VARCHAR
)
|
SELECT COUNT(ignition_timing) FROM table_22915134_2 WHERE graphical = "1-1-0-0-1-1-0-0-"
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Who was the writer that worked with arranger Tarek Akef on a 4:58 song?
|
CREATE TABLE table_42597 (
"Title" text,
"Length" text,
"Writer" text,
"Composer" text,
"Arranger" text
)
|
SELECT "Writer" FROM table_42597 WHERE "Arranger" = 'tarek akef' AND "Length" = '4:58'
|
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What is shown on Friday when Tuesday is Jay Mohr Sports?
|
CREATE TABLE table_name_25 (friday VARCHAR, tuesday VARCHAR)
|
SELECT friday FROM table_name_25 WHERE tuesday = "jay mohr sports"
|
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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 job_id , order in desc by the y-axis 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(4,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE 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 TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
|
SELECT JOB_ID, EMPLOYEE_ID FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) ORDER BY EMPLOYEE_ID DESC
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What is the Portuguese name of the film who's English title is, Belle Toujours?
|
CREATE TABLE table_22118197_1 (portuguese_title VARCHAR, english_title VARCHAR)
|
SELECT portuguese_title FROM table_22118197_1 WHERE english_title = "Belle Toujours"
|
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What city has the museum that holds the Sue specimen?
|
CREATE TABLE table_67483 (
"Name" text,
"Discovered" real,
"Museum" text,
"Museum city" text,
"Discoverer" text,
"Formation" text,
"Location" text
)
|
SELECT "Museum city" FROM table_67483 WHERE "Name" = 'sue'
|
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Which player went to college in Oklahoma?
|
CREATE TABLE table_10966926_2 (
player_name VARCHAR,
college VARCHAR
)
|
SELECT player_name FROM table_10966926_2 WHERE college = "Oklahoma"
|
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What was the area (km ) (per sqmi) of a country with a population density per km of 8.4/km (/sqmi)?
|
CREATE TABLE table_3646 (
"Country or territory with flag" text,
"Area (km\u00b2) (per sqmi)" text,
"Population (July 2009 est.)" real,
"Population density per km\u00b2" text,
"Capital" text
)
|
SELECT "Area (km\u00b2) (per sqmi)" FROM table_3646 WHERE "Population density per km\u00b2" = '8.4/km² (/sqmi)'
|
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What was the date for the canadian grand prix?
|
CREATE TABLE table_name_65 (date VARCHAR, grand_prix VARCHAR)
|
SELECT date FROM table_name_65 WHERE grand_prix = "canadian grand prix"
|
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what is the number of patients whose religion is greek orthodox and admission year is less than 2203?
|
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
)
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 (
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 text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.religion = "GREEK ORTHODOX" AND demographic.admityear < "2203"
|
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What is the course title of the prerequisite of course Mobile Computing?
|
CREATE TABLE course (
title VARCHAR,
course_id VARCHAR
)
CREATE TABLE prereq (
prereq_id VARCHAR,
course_id VARCHAR
)
|
SELECT title FROM course WHERE course_id IN (SELECT T1.prereq_id FROM prereq AS T1 JOIN course AS T2 ON T1.course_id = T2.course_id WHERE T2.title = 'Mobile Computing')
|
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Which Plautdietsch has Dutch of maken?
|
CREATE TABLE table_name_61 (plautdietsch VARCHAR, dutch VARCHAR)
|
SELECT plautdietsch FROM table_name_61 WHERE dutch = "maken"
|
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what is the minimum age of male patients who are of american indian/alaska native ethnicity?
|
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 text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear 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,
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,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT MIN(demographic.age) FROM demographic WHERE demographic.gender = "M" AND demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE"
|
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What distance did giovanni lombardi win after stage 5?
|
CREATE TABLE table_name_10 (distance VARCHAR, stage VARCHAR, winner VARCHAR)
|
SELECT distance FROM table_name_10 WHERE stage > 5 AND winner = "giovanni lombardi"
|
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Which record has an Opponent of orioles and a Date of april 14?
|
CREATE TABLE table_name_9 (
record VARCHAR,
opponent VARCHAR,
date VARCHAR
)
|
SELECT record FROM table_name_9 WHERE opponent = "orioles" AND date = "april 14"
|
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What is the record of the game on February 25, 2008?
|
CREATE TABLE table_name_59 (record VARCHAR, date VARCHAR)
|
SELECT record FROM table_name_59 WHERE date = "february 25, 2008"
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How many people reviewed ' Bistro Di Napoli ' in 2015 ?
|
CREATE TABLE checkin (
cid int,
business_id varchar,
count int,
day varchar
)
CREATE TABLE neighborhood (
id int,
business_id varchar,
neighborhood_name varchar
)
CREATE TABLE review (
rid int,
business_id varchar,
user_id varchar,
rating float,
text longtext,
year int,
month varchar
)
CREATE TABLE business (
bid int,
business_id varchar,
name varchar,
full_address varchar,
city varchar,
latitude varchar,
longitude varchar,
review_count bigint,
is_open tinyint,
rating float,
state varchar
)
CREATE TABLE tip (
tip_id int,
business_id varchar,
text longtext,
user_id varchar,
likes int,
year int,
month varchar
)
CREATE TABLE category (
id int,
business_id varchar,
category_name varchar
)
CREATE TABLE user (
uid int,
user_id varchar,
name varchar
)
|
SELECT COUNT(DISTINCT (user.name)) FROM business, review, user WHERE business.name = 'Bistro Di Napoli' AND review.business_id = business.business_id AND review.year = 2015 AND user.user_id = review.user_id
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What was week 17's date?
|
CREATE TABLE table_name_21 (
date VARCHAR,
week VARCHAR
)
|
SELECT date FROM table_name_21 WHERE week = 17
|
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3,
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] |
What is the total for Bob Tway for the year won before 2002 with a to par bigger than 7?
|
CREATE TABLE table_name_2 (total VARCHAR, to_par VARCHAR, year_won VARCHAR, player VARCHAR)
|
SELECT COUNT(total) FROM table_name_2 WHERE year_won < 2002 AND player = "bob tway" AND to_par > 7
|
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] |
Find Nationality and the average of meter_100 , and group by attribute Nationality, and visualize them by a bar chart, display in asc by the x-axis.
|
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
)
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
)
|
SELECT Nationality, AVG(meter_100) FROM swimmer GROUP BY Nationality ORDER BY Nationality
|
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For those employees who was hired before 2002-06-21, give me the comparison about the average of manager_id over the job_id , and group by attribute job_id, and list Y-axis in desc order.
|
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 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_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),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
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_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
|
SELECT JOB_ID, AVG(MANAGER_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY AVG(MANAGER_ID) DESC
|
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Tell me the sum of total for rank of 1
|
CREATE TABLE table_32136 (
"Rank" real,
"Nation" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
|
SELECT SUM("Total") FROM table_32136 WHERE "Rank" = '1'
|
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Name the median income for age band being under 20
|
CREATE TABLE table_72617 (
"Age band" text,
"Median income" text,
"Mean income" text,
"Median income (men)" text,
"Mean income (men)" text,
"Median income (women)" text,
"Mean income (women)" text
)
|
SELECT "Median income" FROM table_72617 WHERE "Age band" = 'Under 20'
|
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How many films titled Gie have been nominated?
|
CREATE TABLE table_13719788_1 (
original_title VARCHAR,
film_title_used_in_nomination VARCHAR
)
|
SELECT COUNT(original_title) FROM table_13719788_1 WHERE film_title_used_in_nomination = "Gie"
|
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How many losses did the club with 47 points have ?
|
CREATE TABLE table_name_7 (lost VARCHAR, points VARCHAR)
|
SELECT lost FROM table_name_7 WHERE points = "47"
|
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Which status accompanies the score 21.5?
|
CREATE TABLE table_68911 (
"Round" text,
"Name" text,
"Song" text,
"Score" real,
"Status" text
)
|
SELECT "Status" FROM table_68911 WHERE "Score" = '21.5'
|
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Which song is linked to Volume:Issue 64:14-18?
|
CREATE TABLE table_34333 (
"Volume:Issue" text,
"Issue date" text,
"Weeks on numbe one" text,
"Song" text,
"Artist(s)" text
)
|
SELECT "Song" FROM table_34333 WHERE "Volume:Issue" = '64:14-18'
|
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how many times has patient 022-20829 been at the intensive care unit until 3 years ago?
|
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
|
SELECT COUNT(DISTINCT patient.patientunitstayid) FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '022-20829') AND DATETIME(patient.unitadmittime) <= DATETIME(CURRENT_TIME(), '-3 year')
|
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In the match where south melbourne was the away team, who was the home team?
|
CREATE TABLE table_name_34 (home_team VARCHAR, away_team VARCHAR)
|
SELECT home_team FROM table_name_34 WHERE away_team = "south melbourne"
|
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what is average age of patients whose marital status is married and age is greater than or equal to 44?
|
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,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear 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 (
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 AVG(demographic.age) FROM demographic WHERE demographic.marital_status = "MARRIED" AND demographic.age >= "44"
|
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How much Silver has a Nation of mexico, and a Total larger than 1?
|
CREATE TABLE table_name_47 (silver INTEGER, nation VARCHAR, total VARCHAR)
|
SELECT SUM(silver) FROM table_name_47 WHERE nation = "mexico" AND total > 1
|
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What is the party affiliation for President Stefano Baccelli?
|
CREATE TABLE table_64199 (
"Province" text,
"Inhabitants" real,
"established" real,
"President" text,
"Party" text,
"Election" real
)
|
SELECT "Party" FROM table_64199 WHERE "President" = 'stefano baccelli'
|
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count the number of patients whose year of birth is less than 1846 and procedure short title is coronary arteriogram nec?
|
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
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
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 text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
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|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.dob_year < "1846" AND procedures.short_title = "Coronary arteriogram NEC"
|
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What is the PA when skip (club) is mary-anne arsenault (nsca)?
|
CREATE TABLE table_3377 (
"Skip (Club)" text,
"W" real,
"L" real,
"PF" real,
"PA" real,
"Ends Won" real,
"Ends Lost" real,
"Blank Ends" real,
"Stolen Ends" real
)
|
SELECT MIN("PA") FROM table_3377 WHERE "Skip (Club)" = 'Mary-Anne Arsenault (NSCA)'
|
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] |
What field did the Away Team score 9.12 (66)?
|
CREATE TABLE table_11267 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Date" text
)
|
SELECT "Venue" FROM table_11267 WHERE "Away team score" = '9.12 (66)'
|
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A bar chart for what are the number of the enrollment dates of all the tests that have result 'Pass'?, and could you sort by the the number of date of enrolment in ascending?
|
CREATE TABLE Course_Authors_and_Tutors (
author_id INTEGER,
author_tutor_ATB VARCHAR(3),
login_name VARCHAR(40),
password VARCHAR(40),
personal_name VARCHAR(80),
middle_name VARCHAR(80),
family_name VARCHAR(80),
gender_mf VARCHAR(1),
address_line_1 VARCHAR(80)
)
CREATE TABLE Students (
student_id INTEGER,
date_of_registration DATETIME,
date_of_latest_logon DATETIME,
login_name VARCHAR(40),
password VARCHAR(10),
personal_name VARCHAR(40),
middle_name VARCHAR(40),
family_name VARCHAR(40)
)
CREATE TABLE Student_Tests_Taken (
registration_id INTEGER,
date_test_taken DATETIME,
test_result VARCHAR(255)
)
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 Student_Course_Enrolment (
registration_id INTEGER,
student_id INTEGER,
course_id INTEGER,
date_of_enrolment DATETIME,
date_of_completion DATETIME
)
|
SELECT date_of_enrolment, COUNT(date_of_enrolment) FROM Student_Course_Enrolment AS T1 JOIN Student_Tests_Taken AS T2 ON T1.registration_id = T2.registration_id WHERE T2.test_result = "Pass" ORDER BY COUNT(date_of_enrolment)
|
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which collection was above the big ride ?
|
CREATE TABLE table_203_570 (
id number,
"#" number,
"title" text,
"tpb isbn" text,
"tpb release date" text,
"tpb page number" number,
"collected material" text
)
|
SELECT "title" FROM table_203_570 WHERE id = (SELECT id FROM table_203_570 WHERE "title" = 'the big ride') - 1
|
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What is the name of the athlete with a time of 30:48?
|
CREATE TABLE table_name_9 (
athlete VARCHAR,
time VARCHAR
)
|
SELECT athlete FROM table_name_9 WHERE time = "30:48"
|
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What event was held in Chihuahua, Mexico?
|
CREATE TABLE table_name_16 (event VARCHAR, venue VARCHAR)
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SELECT event FROM table_name_16 WHERE venue = "chihuahua, mexico"
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have a known or suspected infection and meet criteria for severe sepsis or septic shock as defined according to the international pediatric sepsis consensus conference guidelines
|
CREATE TABLE table_train_11 (
"id" int,
"pregnancy_or_lactation" bool,
"severe_sepsis" bool,
"active_infection" bool,
"heart_disease" bool,
"body_weight" float,
"septic_shock" bool,
"serum_aminotransferase_level_alt_ast" int,
"NOUSE" float
)
|
SELECT * FROM table_train_11 WHERE active_infection = 1 AND (severe_sepsis = 1 OR septic_shock = 1)
|
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What Date is Week 1?
|
CREATE TABLE table_name_54 (date VARCHAR, week VARCHAR)
|
SELECT date FROM table_name_54 WHERE week = 1
|
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report the number of american indian/alaska native ethnic background patients who have diagnoses icd9 code 51881.
|
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 text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear 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
)
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,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.ethnicity = "AMERICAN INDIAN/ALASKA NATIVE" AND diagnoses.icd9_code = "51881"
|
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For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, a scatter chart shows the correlation between employee_id and manager_id .
|
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(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE 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 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),
LOCATION_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
|
SELECT EMPLOYEE_ID, MANAGER_ID FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40
|
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What is Score, when Player is 'David Toms'?
|
CREATE TABLE table_61914 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
)
|
SELECT "Score" FROM table_61914 WHERE "Player" = 'david toms'
|
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What is the location of the Kkspe Foundation?
|
CREATE TABLE table_name_85 (
location VARCHAR,
foundation VARCHAR
)
|
SELECT location FROM table_name_85 WHERE foundation = "kkspe"
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What is the socket related to the processor released on June 22, 2005, having a frequency of 1600MHz and voltage under 1.35V?
|
CREATE TABLE table_name_7 (socket VARCHAR, voltage VARCHAR, frequency VARCHAR, release_date VARCHAR)
|
SELECT socket FROM table_name_7 WHERE frequency = "1600mhz" AND release_date = "june 22, 2005" AND voltage < 1.35
|
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what is the sum of the member when the saros is more than 127, gamma is less than 1.1508 and the magnitude is 0.742?
|
CREATE TABLE table_13935 (
"Date" text,
"Type" text,
"Time (greatest)" text,
"Saros" real,
"Member" real,
"Gamma" real,
"Magnitude" real
)
|
SELECT SUM("Member") FROM table_13935 WHERE "Saros" > '127' AND "Gamma" < '1.1508' AND "Magnitude" = '0.742'
|
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What was the top crowd when the team scored 12.15 (87) at home?
|
CREATE TABLE table_56940 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
|
SELECT MAX("Crowd") FROM table_56940 WHERE "Home team score" = '12.15 (87)'
|
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How many gold have a bronze of 1, a rank smaller than 6, and a total less than 3?
|
CREATE TABLE table_name_81 (
gold INTEGER,
total VARCHAR,
bronze VARCHAR,
rank VARCHAR
)
|
SELECT SUM(gold) FROM table_name_81 WHERE bronze = 1 AND rank < 6 AND total < 3
|
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Among all the claims, which settlements have a claimed amount that is no more than the average? List the claim start date, and count them by a bar chart, order by the Y-axis in asc.
|
CREATE TABLE Payments (
Payment_ID INTEGER,
Settlement_ID INTEGER,
Payment_Method_Code VARCHAR(255),
Date_Payment_Made DATE,
Amount_Payment INTEGER
)
CREATE TABLE Customer_Policies (
Policy_ID INTEGER,
Customer_ID INTEGER,
Policy_Type_Code CHAR(15),
Start_Date DATE,
End_Date DATE
)
CREATE TABLE Customers (
Customer_ID INTEGER,
Customer_Details VARCHAR(255)
)
CREATE TABLE Settlements (
Settlement_ID INTEGER,
Claim_ID INTEGER,
Date_Claim_Made DATE,
Date_Claim_Settled DATE,
Amount_Claimed INTEGER,
Amount_Settled INTEGER,
Customer_Policy_ID INTEGER
)
CREATE TABLE Claims (
Claim_ID INTEGER,
Policy_ID INTEGER,
Date_Claim_Made DATE,
Date_Claim_Settled DATE,
Amount_Claimed INTEGER,
Amount_Settled INTEGER
)
|
SELECT Date_Claim_Made, COUNT(Date_Claim_Made) FROM Claims WHERE Amount_Settled <= (SELECT AVG(Amount_Settled) FROM Claims) ORDER BY COUNT(Date_Claim_Made)
|
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What is the maximum population size in the town of Glengallen?
|
CREATE TABLE table_12584173_1 (population__glengallan_ INTEGER)
|
SELECT MAX(population__glengallan_) FROM table_12584173_1
|
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When was the first game associated with over 4 losses?
|
CREATE TABLE table_71079 (
"First game" real,
"Played" real,
"Drawn" real,
"Lost" real,
"Percentage" text
)
|
SELECT "First game" FROM table_71079 WHERE "Lost" > '4'
|
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] |
how many times have patient 017-58432's come to the icu?
|
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
|
SELECT COUNT(DISTINCT patient.patientunitstayid) FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '017-58432')
|
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What is the total gold that has bronze less than 2, a silver of 1 and total more than 4?
|
CREATE TABLE table_name_32 (
gold INTEGER,
total VARCHAR,
bronze VARCHAR,
silver VARCHAR
)
|
SELECT SUM(gold) FROM table_name_32 WHERE bronze < 2 AND silver = 1 AND total > 4
|
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what is the sum of tonnage when the type of ship is twin screw ro-ro motorship and the date entered service is 11 february 1983?
|
CREATE TABLE table_name_73 (tonnage INTEGER, type_of_ship VARCHAR, date_entered_service VARCHAR)
|
SELECT SUM(tonnage) FROM table_name_73 WHERE type_of_ship = "twin screw ro-ro motorship" AND date_entered_service = "11 february 1983"
|
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what is the number of patients younger than 49 years who were admitted before the year 2163?
|
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
)
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 text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear 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 (
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.age < "49" AND demographic.admityear < "2163"
|
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When dis cbs release the DVD set?
|
CREATE TABLE table_name_76 (
dvd_set_release_date VARCHAR,
network VARCHAR
)
|
SELECT dvd_set_release_date FROM table_name_76 WHERE network = "cbs"
|
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What's the record of Game 56?
|
CREATE TABLE table_name_37 (record VARCHAR, game VARCHAR)
|
SELECT record FROM table_name_37 WHERE game = 56
|
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Which season had a result of 1 0 (aet)?
|
CREATE TABLE table_3716 (
"season" text,
"division" text,
"date" text,
"home team" text,
"result" text,
"away team" text
)
|
SELECT "season" FROM table_3716 WHERE "result" = '1–0 (aet)'
|
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Who was the republican candidate in 2013 when Staten Island was 451?
|
CREATE TABLE table_133 (
"2013 Republican primary" text,
"Manhattan" text,
"The Bronx" text,
"Brooklyn" text,
"Queens" text,
"Staten Island" text,
"Total" real,
"%" text
)
|
SELECT "2013 Republican primary" FROM table_133 WHERE "Staten Island" = '451'
|
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give me the number of patients whose age is less than 79 and lab test fluid is other body fluid?
|
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
)
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 text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear 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 (
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.age < "79" AND lab.fluid = "Other Body Fluid"
|
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Name the telephone 052 for area km2 being 5.42
|
CREATE TABLE table_14465924_1 (
telephone__052_ VARCHAR,
area__km_2__ VARCHAR
)
|
SELECT telephone__052_ FROM table_14465924_1 WHERE area__km_2__ = "5.42"
|
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which round has a margin of 178?
|
CREATE TABLE table_name_24 (
round VARCHAR,
margin VARCHAR
)
|
SELECT round FROM table_name_24 WHERE margin = "178"
|
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Name the number of Earnings per share (¢) which has a Net profit (US $m) larger than 66, and a Year to April smaller than 2010?
|
CREATE TABLE table_name_38 (earnings_per_share__ VARCHAR, net_profit__us_$m_ VARCHAR, year_to_april VARCHAR)
|
SELECT COUNT(earnings_per_share__) AS ¢_ FROM table_name_38 WHERE net_profit__us_$m_ > 66 AND year_to_april < 2010
|
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What rank has a status of proposed, with 80 floors for Celestia Spaces 4?
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CREATE TABLE table_name_79 (rank INTEGER, name VARCHAR, status VARCHAR, floors VARCHAR)
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SELECT AVG(rank) FROM table_name_79 WHERE status = "proposed" AND floors = 80 AND name = "celestia spaces 4"
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What was the Result of the Game at the Meadowlands on 1991-09-01?
|
CREATE TABLE table_name_29 (result VARCHAR, game_site VARCHAR, date VARCHAR)
|
SELECT result FROM table_name_29 WHERE game_site = "the meadowlands" AND date = "1991-09-01"
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Name the 3rd for season less than 4 and lost of 61
|
CREATE TABLE table_name_19 (
season VARCHAR,
lost VARCHAR
)
|
SELECT 3 AS _rd FROM table_name_19 WHERE season < 4 AND lost = 61
|
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Which player is a tight end with a round higher than 3?
|
CREATE TABLE table_name_4 (name VARCHAR, position VARCHAR, round VARCHAR)
|
SELECT name FROM table_name_4 WHERE position = "tight end" AND round > 3
|
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give me the number of patients whose year of death is less than or equal to 2154 and diagnoses icd9 code is 78830?
|
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 text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
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,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.dod_year <= "2154.0" AND diagnoses.icd9_code = "78830"
|
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Name the Tag Team with Entered of 6?
|
CREATE TABLE table_65172 (
"Eliminated" text,
"Tag Team" text,
"Entered" real,
"Eliminated by" text,
"Time" text
)
|
SELECT "Tag Team" FROM table_65172 WHERE "Entered" = '6'
|
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how many competitors were under the age of 30 ?
|
CREATE TABLE table_203_711 (
id number,
"name" text,
"age" number,
"hometown" text,
"occupation" text,
"culinary p.o.v." text,
"eliminated" text
)
|
SELECT COUNT("name") FROM table_203_711 WHERE "age" < 30
|
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Who is player number 51?
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CREATE TABLE table_11545282_11 (player VARCHAR, no VARCHAR)
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SELECT player FROM table_11545282_11 WHERE no = "51"
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give me the number of patients whose admission type is emergency and drug route is oral?
|
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 (
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 text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id 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.admission_type = "EMERGENCY" AND prescriptions.route = "ORAL"
|
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Which School has a Mascot of squires?
|
CREATE TABLE table_64855 (
"School" text,
"Location" text,
"Mascot" text,
"Enrollment" real,
"IHSAA Class" text,
"IHSAA Football Class" text,
"# / County" text
)
|
SELECT "School" FROM table_64855 WHERE "Mascot" = 'squires'
|
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Who had the high rebounds when Chris Bosh (16) had the high points?
|
CREATE TABLE table_11960407_4 (
high_rebounds VARCHAR,
high_points VARCHAR
)
|
SELECT high_rebounds FROM table_11960407_4 WHERE high_points = "Chris Bosh (16)"
|
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what is the preliminary average score when the interview score is 8.600 (6)?
|
CREATE TABLE table_name_78 (
preliminary_average VARCHAR,
interview VARCHAR
)
|
SELECT preliminary_average FROM table_name_78 WHERE interview = "8.600 (6)"
|
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count the number of patients whose diagnoses short title is acute uri nos 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 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 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 text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Acute uri NOS" AND lab.fluid = "Ascites"
|
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Which Ensemble Name has the Advertisement date October 2007?
|
CREATE TABLE table_name_79 (ensemble_name VARCHAR, advertisement_date VARCHAR)
|
SELECT ensemble_name FROM table_name_79 WHERE advertisement_date = "october 2007"
|
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