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What is the monounsaturated fat with a smoke point of °c (), a total fat of 100g, 11g of polyunsaturated fat, and 14g of saturated fat?
|
CREATE TABLE table_name_85 (monounsaturated_fat VARCHAR, saturated_fat VARCHAR, polyunsaturated_fat VARCHAR, smoke_point VARCHAR, total_fat VARCHAR)
|
SELECT monounsaturated_fat FROM table_name_85 WHERE smoke_point = "°c ()" AND total_fat = "100g" AND polyunsaturated_fat = "11g" AND saturated_fat = "14g"
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What was the earliest week on September 26, 1965?
|
CREATE TABLE table_66686 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" text
)
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SELECT MIN("Week") FROM table_66686 WHERE "Date" = 'september 26, 1965'
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What is Headquarter, when Language is English, and when Type is Independent Online News Portal?
|
CREATE TABLE table_name_89 (headquarter VARCHAR, language VARCHAR, type VARCHAR)
|
SELECT headquarter FROM table_name_89 WHERE language = "english" AND type = "independent online news portal"
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how many patients are diagnosed with personality disorder nos and tested in the lab and had results that showed abnormal status delta?
|
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 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
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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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Personality disorder NOS" AND lab.flag = "delta"
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what's the fcc info with call sign being w265av
|
CREATE TABLE table_19057 (
"Call sign" text,
"Frequency MHz" text,
"City of license" text,
"ERP W" real,
"Height m ( ft )" text,
"FCC info" text,
"Notes" text
)
|
SELECT "FCC info" FROM table_19057 WHERE "Call sign" = 'W265AV'
|
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If there were 14 in 1990 and 6 survived how many were destroyed?
|
CREATE TABLE table_1817852_1 (
destroyed VARCHAR,
survived VARCHAR
)
|
SELECT destroyed FROM table_1817852_1 WHERE 1990 = 14 AND survived = 6
|
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Draw a bar chart of gender versus the number of gender
|
CREATE TABLE club (
Club_ID int,
Club_name text,
Region text,
Start_year int
)
CREATE TABLE match_result (
Rank int,
Club_ID int,
Gold int,
Big_Silver int,
Small_Silver int,
Bronze int,
Points int
)
CREATE TABLE player_coach (
Player_ID int,
Coach_ID int,
Starting_year int
)
CREATE TABLE coach (
Coach_ID int,
Coach_name text,
Gender text,
Club_ID int,
Rank int
)
CREATE TABLE player (
Player_ID int,
Sponsor_name text,
Player_name text,
Gender text,
Residence text,
Occupation text,
Votes int,
Rank text
)
|
SELECT Gender, COUNT(Gender) FROM player GROUP BY Gender
|
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Show the number of documents in different starting date and bin starting date by weekday interval with a bar chart, list in ascending by the Y-axis.
|
CREATE TABLE Ref_Calendar (
Calendar_Date DATETIME,
Day_Number INTEGER
)
CREATE TABLE Documents_to_be_Destroyed (
Document_ID INTEGER,
Destruction_Authorised_by_Employee_ID INTEGER,
Destroyed_by_Employee_ID INTEGER,
Planned_Destruction_Date DATETIME,
Actual_Destruction_Date DATETIME,
Other_Details VARCHAR(255)
)
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15),
Document_Type_Name VARCHAR(255),
Document_Type_Description VARCHAR(255)
)
CREATE TABLE Employees (
Employee_ID INTEGER,
Role_Code CHAR(15),
Employee_Name VARCHAR(255),
Gender_MFU CHAR(1),
Date_of_Birth DATETIME,
Other_Details VARCHAR(255)
)
CREATE TABLE Roles (
Role_Code CHAR(15),
Role_Name VARCHAR(255),
Role_Description VARCHAR(255)
)
CREATE TABLE Document_Locations (
Document_ID INTEGER,
Location_Code CHAR(15),
Date_in_Location_From DATETIME,
Date_in_Locaton_To DATETIME
)
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 Ref_Locations (
Location_Code CHAR(15),
Location_Name VARCHAR(255),
Location_Description VARCHAR(255)
)
|
SELECT Date_in_Location_From, COUNT(Date_in_Location_From) FROM Document_Locations ORDER BY COUNT(Date_in_Location_From)
|
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Which call sign has ERP Wlarger than 250, and Frequency MHZ smaller than 99.3?
|
CREATE TABLE table_name_3 (call_sign VARCHAR, erp_w VARCHAR, frequency_mhz VARCHAR)
|
SELECT call_sign FROM table_name_3 WHERE erp_w > 250 AND frequency_mhz < 99.3
|
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Name the number of captains for barcelona
|
CREATE TABLE table_31117 (
"Team" text,
"Chairman" text,
"Head Coach" text,
"Captain" text,
"Kitmaker" text,
"Shirt sponsor" text
)
|
SELECT COUNT("Captain") FROM table_31117 WHERE "Team" = 'Barcelona'
|
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Which Run 4 has a Run 1 of 1:25.82?
|
CREATE TABLE table_name_59 (
run_4 VARCHAR,
run_1 VARCHAR
)
|
SELECT run_4 FROM table_name_59 WHERE run_1 = "1:25.82"
|
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Find the country of the airlines whose name starts with 'Orbit', and count them by a bar chart, rank from low to high by the y axis.
|
CREATE TABLE routes (
rid integer,
dst_apid integer,
dst_ap varchar(4),
src_apid bigint,
src_ap varchar(4),
alid bigint,
airline varchar(4),
codeshare text
)
CREATE TABLE airlines (
alid integer,
name text,
iata varchar(2),
icao varchar(3),
callsign text,
country text,
active varchar(2)
)
CREATE TABLE airports (
apid integer,
name text,
city text,
country text,
x real,
y real,
elevation bigint,
iata character varchar(3),
icao character varchar(4)
)
|
SELECT country, COUNT(country) FROM airlines WHERE name LIKE 'Orbit%' GROUP BY country ORDER BY COUNT(country)
|
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What is the last year that someone is first elected in this table?
|
CREATE TABLE table_1341930_21 (
first_elected INTEGER
)
|
SELECT MAX(first_elected) FROM table_1341930_21
|
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] |
What was the time of the match with a record of 9-0 and used the tko (doctor stoppage) method?
|
CREATE TABLE table_49145 (
"Res." text,
"Record" text,
"Opponent" text,
"Method" text,
"Event" text,
"Round" real,
"Time" text,
"Location" text
)
|
SELECT "Time" FROM table_49145 WHERE "Method" = 'tko (doctor stoppage)' AND "Record" = '9-0'
|
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Which Score has a Total of 80 72?
|
CREATE TABLE table_name_55 (
score VARCHAR,
total VARCHAR
)
|
SELECT score FROM table_name_55 WHERE total = "80–72"
|
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What is Away Team, when Ground is Colonial Stadium?
|
CREATE TABLE table_name_19 (
away_team VARCHAR,
ground VARCHAR
)
|
SELECT away_team FROM table_name_19 WHERE ground = "colonial stadium"
|
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In which Age Category is Marco Manenti?
|
CREATE TABLE table_33806 (
"Year" real,
"Name" text,
"Nationality" text,
"Time" text,
"Age category" text
)
|
SELECT "Age category" FROM table_33806 WHERE "Name" = 'marco manenti'
|
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In what Round was George Thomas Picked?
|
CREATE TABLE table_74978 (
"Round" real,
"Pick #" real,
"Overall" real,
"Name" text,
"Position" text,
"College" text
)
|
SELECT AVG("Round") FROM table_74978 WHERE "Name" = 'george thomas'
|
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Who is the player from Australia with a to par of +5?
|
CREATE TABLE table_46475 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text,
"Money ( $ )" real
)
|
SELECT "Player" FROM table_46475 WHERE "To par" = '+5' AND "Country" = 'australia'
|
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What was the result of the game attended by 54,110?
|
CREATE TABLE table_name_73 (
result VARCHAR,
attendance VARCHAR
)
|
SELECT result FROM table_name_73 WHERE attendance = "54,110"
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What label is released on September 20, 2005?
|
CREATE TABLE table_name_16 (label VARCHAR, date_of_release VARCHAR)
|
SELECT label FROM table_name_16 WHERE date_of_release = "september 20, 2005"
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Which days were presented by Andreas Mikroutsikos and were launched on March 10, 2003?
|
CREATE TABLE table_name_48 (
days VARCHAR,
the_presenter VARCHAR,
launch_date VARCHAR
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SELECT days FROM table_name_48 WHERE the_presenter = "andreas mikroutsikos" AND launch_date = "march 10, 2003"
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How many votes did 3rd ranking candidate Mary Louise Lorefice receive?
|
CREATE TABLE table_name_48 (votes VARCHAR, rank VARCHAR, candidate VARCHAR)
|
SELECT COUNT(votes) FROM table_name_48 WHERE rank = "3rd" AND candidate = "mary louise lorefice"
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Which Round has a School/Club Team of cal-poly slo, and a Pick smaller than 238?
|
CREATE TABLE table_77131 (
"Round" real,
"Pick" real,
"Player" text,
"Position" text,
"School/Club Team" text
)
|
SELECT MAX("Round") FROM table_77131 WHERE "School/Club Team" = 'cal-poly slo' AND "Pick" < '238'
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Which venue is in the city of Villanova?
|
CREATE TABLE table_name_3 (
venue VARCHAR,
city VARCHAR
)
|
SELECT venue FROM table_name_3 WHERE city = "villanova"
|
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What are the number of the names of catalog entries with level number 8?
|
CREATE TABLE Catalog_Contents (
catalog_entry_id INTEGER,
catalog_level_number INTEGER,
parent_entry_id INTEGER,
previous_entry_id INTEGER,
next_entry_id INTEGER,
catalog_entry_name VARCHAR(80),
product_stock_number VARCHAR(50),
price_in_dollars DOUBLE,
price_in_euros DOUBLE,
price_in_pounds DOUBLE,
capacity VARCHAR(20),
length VARCHAR(20),
height VARCHAR(20),
width VARCHAR(20)
)
CREATE TABLE Attribute_Definitions (
attribute_id INTEGER,
attribute_name VARCHAR(30),
attribute_data_type VARCHAR(10)
)
CREATE TABLE Catalog_Contents_Additional_Attributes (
catalog_entry_id INTEGER,
catalog_level_number INTEGER,
attribute_id INTEGER,
attribute_value VARCHAR(255)
)
CREATE TABLE Catalogs (
catalog_id INTEGER,
catalog_name VARCHAR(50),
catalog_publisher VARCHAR(80),
date_of_publication DATETIME,
date_of_latest_revision DATETIME
)
CREATE TABLE Catalog_Structure (
catalog_level_number INTEGER,
catalog_id INTEGER,
catalog_level_name VARCHAR(50)
)
|
SELECT catalog_entry_name, COUNT(catalog_entry_name) FROM Catalog_Contents AS t1 JOIN Catalog_Contents_Additional_Attributes AS t2 ON t1.catalog_entry_id = t2.catalog_entry_id WHERE t2.catalog_level_number = "8" GROUP BY catalog_entry_name
|
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What was the time for the bout against Amanda Lavoy, which went under 3 rounds?
|
CREATE TABLE table_name_71 (
time VARCHAR,
round VARCHAR,
opponent VARCHAR
)
|
SELECT time FROM table_name_71 WHERE round < 3 AND opponent = "amanda lavoy"
|
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What is the average of credit value of courses with more than one prerequisite for each department? Return a bar chart.
|
CREATE TABLE time_slot (
time_slot_id varchar(4),
day varchar(1),
start_hr numeric(2),
start_min numeric(2),
end_hr numeric(2),
end_min numeric(2)
)
CREATE TABLE section (
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
building varchar(15),
room_number varchar(7),
time_slot_id varchar(4)
)
CREATE TABLE takes (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
grade varchar(2)
)
CREATE TABLE student (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
tot_cred numeric(3,0)
)
CREATE TABLE advisor (
s_ID varchar(5),
i_ID varchar(5)
)
CREATE TABLE classroom (
building varchar(15),
room_number varchar(7),
capacity numeric(4,0)
)
CREATE TABLE instructor (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
salary numeric(8,2)
)
CREATE TABLE department (
dept_name varchar(20),
building varchar(15),
budget numeric(12,2)
)
CREATE TABLE prereq (
course_id varchar(8),
prereq_id varchar(8)
)
CREATE TABLE course (
course_id varchar(8),
title varchar(50),
dept_name varchar(20),
credits numeric(2,0)
)
CREATE TABLE teaches (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0)
)
|
SELECT dept_name, AVG(credits) FROM course AS T1 JOIN prereq AS T2 ON T1.course_id = T2.course_id GROUP BY dept_name
|
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What is the pick number for the College of Central Missouri State?
|
CREATE TABLE table_6475 (
"Pick #" real,
"NFL Team" text,
"Player" text,
"Position" text,
"College" text
)
|
SELECT "Pick #" FROM table_6475 WHERE "College" = 'central missouri state'
|
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] |
Which year has brm v12 as the engine?
|
CREATE TABLE table_name_19 (year VARCHAR, engine VARCHAR)
|
SELECT year FROM table_name_19 WHERE engine = "brm v12"
|
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What was the away team when the home team was south melbourne?
|
CREATE TABLE table_name_85 (away_team VARCHAR, home_team VARCHAR)
|
SELECT away_team FROM table_name_85 WHERE home_team = "south melbourne"
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how many patients whose insurance is private and discharge location is left against medical advi?
|
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 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 WHERE demographic.insurance = "Private" AND demographic.discharge_location = "LEFT AGAINST MEDICAL ADVI"
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find the number of patients who had endoscopic excision or destruction of tissue or lesion of stomach and were discharged home.
|
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 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,
label text,
fluid text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "HOME HEALTH CARE" AND procedures.short_title = "Endosc destr stomach les"
|
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0
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3,
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-100
] |
what opponent was competed against the most often ?
|
CREATE TABLE table_204_520 (
id number,
"outcome" text,
"no." number,
"date" number,
"championship" text,
"surface" text,
"opponent" text,
"score" text
)
|
SELECT "opponent" FROM table_204_520 GROUP BY "opponent" ORDER BY COUNT(*) DESC LIMIT 1
|
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] |
Which Total Goals have Total Apps of 42 (3), and League Goals smaller than 1?
|
CREATE TABLE table_name_10 (
total_goals INTEGER,
total_apps VARCHAR,
league_goals VARCHAR
)
|
SELECT MAX(total_goals) FROM table_name_10 WHERE total_apps = "42 (3)" AND league_goals < 1
|
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How many field goals did Stacey Thomas have?
|
CREATE TABLE table_24850487_5 (
field_goals VARCHAR,
player VARCHAR
)
|
SELECT field_goals FROM table_24850487_5 WHERE player = "Stacey Thomas"
|
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what are all the open 1st viii with u15 4th iv being gt
|
CREATE TABLE table_11318462_5 (open_1st_viii VARCHAR, u15_4th_iv VARCHAR)
|
SELECT open_1st_viii FROM table_11318462_5 WHERE u15_4th_iv = "GT"
|
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What is the latest year in Annecy, France?
|
CREATE TABLE table_name_66 (year INTEGER, venue VARCHAR)
|
SELECT MAX(year) FROM table_name_66 WHERE venue = "annecy, france"
|
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Who is the mens doubles when womens doubles is anastasia chervyakova romina gabdullina?
|
CREATE TABLE table_12171145_1 (
mens_doubles VARCHAR,
womens_doubles VARCHAR
)
|
SELECT mens_doubles FROM table_12171145_1 WHERE womens_doubles = "Anastasia Chervyakova Romina Gabdullina"
|
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Visualize a bar chart about the distribution of ACC_Regular_Season and School_ID .
|
CREATE TABLE university (
School_ID int,
School text,
Location text,
Founded real,
Affiliation text,
Enrollment real,
Nickname text,
Primary_conference text
)
CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Percent text,
ACC_Home text,
ACC_Road text,
All_Games text,
All_Games_Percent int,
All_Home text,
All_Road text,
All_Neutral text
)
|
SELECT ACC_Regular_Season, School_ID FROM basketball_match
|
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What is Score, when Location Attendance is "US Airways Center 18,422", and when Game is less than 22?
|
CREATE TABLE table_name_27 (score VARCHAR, location_attendance VARCHAR, game VARCHAR)
|
SELECT score FROM table_name_27 WHERE location_attendance = "us airways center 18,422" AND game < 22
|
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Who is the GC leader at vila - segovia?
|
CREATE TABLE table_54613 (
"Stage" real,
"Date" text,
"Course" text,
"Distance" text,
"Winner" text,
"GC Leader" text
)
|
SELECT "GC Leader" FROM table_54613 WHERE "Course" = 'ávila - segovia'
|
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[
3,
23143,
14196,
96,
11055,
10310,
121,
21680,
953,
834,
755,
4448,
2368,
549,
17444,
427,
96,
3881,
3589,
15,
121,
3274,
3,
31,
2975,
6372,
9,
3,
18,
142,
839,
5907,
31,
1,
-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
Compute the total number in each competition type, and then split by country.
|
CREATE TABLE club_rank (
Rank real,
Club_ID int,
Gold real,
Silver real,
Bronze real,
Total real
)
CREATE TABLE club (
Club_ID int,
name text,
Region text,
Start_year text
)
CREATE TABLE competition (
Competition_ID int,
Year real,
Competition_type text,
Country text
)
CREATE TABLE competition_result (
Competition_ID int,
Club_ID_1 int,
Club_ID_2 int,
Score text
)
CREATE TABLE player (
Player_ID int,
name text,
Position text,
Club_ID int,
Apps real,
Tries real,
Goals text,
Points real
)
|
SELECT Country, COUNT(Country) FROM competition GROUP BY Competition_type, Country
|
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32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
1886,
834,
6254,
41,
3,
22557,
490,
6,
1949,
834,
4309,
16,
17,
6,
2540,
490,
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32103,
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32103,
4961,
2810,
8,
792,
381,
16,
284,
2259,
686,
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258,
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] |
[
3,
23143,
14196,
6993,
6,
2847,
17161,
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in what year the position was the 9th
|
CREATE TABLE table_31291 (
"Season" text,
"Level" text,
"Division" text,
"Section" text,
"Position" text,
"Movements" text
)
|
SELECT "Season" FROM table_31291 WHERE "Position" = '9th'
|
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What is the total sum of points of entrants with a reynard 92d chassis?
|
CREATE TABLE table_name_88 (
points INTEGER,
chassis VARCHAR
)
|
SELECT SUM(points) FROM table_name_88 WHERE chassis = "reynard 92d"
|
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which position did pierre bajoc play?
|
CREATE TABLE table_3085 (
"Name" text,
"Position" text,
"Period" text,
"Appearances\u00b9" real,
"Goals\u00b9" real,
"Nationality\u00b2" text
)
|
SELECT "Position" FROM table_3085 WHERE "Name" = 'Pierre Bajoc'
|
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What is the population for County Mayo with the English Name Carrowteige?
|
CREATE TABLE table_101196_1 (
population VARCHAR,
county VARCHAR,
english_name VARCHAR
)
|
SELECT population FROM table_101196_1 WHERE county = "county Mayo" AND english_name = "Carrowteige"
|
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Who narrated when the vessel operator is de beers?
|
CREATE TABLE table_26168687_3 (
narrated_by VARCHAR,
vessel_operator VARCHAR
)
|
SELECT narrated_by FROM table_26168687_3 WHERE vessel_operator = "De Beers"
|
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Name the winner for jan 24
|
CREATE TABLE table_28200 (
"Date" text,
"Tournament" text,
"Location" text,
"Purse ( $ )" real,
"Winner" text,
"Score" text,
"1st Prize ( $ )" text
)
|
SELECT "Winner" FROM table_28200 WHERE "Date" = 'Jan 24'
|
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Please give me a bar chart to show the total number of singers who sang the top 3 most highly rated songs from different countries.
|
CREATE TABLE genre (
g_name varchar2(20),
rating varchar2(10),
most_popular_in varchar2(50)
)
CREATE TABLE song (
song_name varchar2(50),
artist_name varchar2(50),
country varchar2(20),
f_id number(10),
genre_is varchar2(20),
rating number(10),
languages varchar2(20),
releasedate Date,
resolution number(10)
)
CREATE TABLE files (
f_id number(10),
artist_name varchar2(50),
file_size varchar2(20),
duration varchar2(20),
formats varchar2(20)
)
CREATE TABLE artist (
artist_name varchar2(50),
country varchar2(20),
gender varchar2(20),
preferred_genre varchar2(50)
)
|
SELECT T1.country, T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name GROUP BY T1.country ORDER BY T2.rating DESC LIMIT 3
|
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What airport has an ICAO of Birk?
|
CREATE TABLE table_name_16 (airport VARCHAR, icao VARCHAR)
|
SELECT airport FROM table_name_16 WHERE icao = "birk"
|
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What is the earliest date of taking office for district 22?
|
CREATE TABLE table_name_2 (
took_office INTEGER,
district VARCHAR
)
|
SELECT MIN(took_office) FROM table_name_2 WHERE district = 22
|
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What was the NFL Recap of the game held on December 24, 2005?
|
CREATE TABLE table_name_70 (nfl_recap VARCHAR, date VARCHAR)
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SELECT nfl_recap FROM table_name_70 WHERE date = "december 24, 2005"
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when was the notorious b.i.g signed to bad boy ?
|
CREATE TABLE table_200_14 (
id number,
"act" text,
"year signed" number,
"# albums released under bad boy" number
)
|
SELECT "year signed" FROM table_200_14 WHERE "act" = 'the notorious b.i.g'
|
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On what date did the opponents win with 17 points?
|
CREATE TABLE table_16678052_2 (
date VARCHAR,
opponents VARCHAR,
result VARCHAR
)
|
SELECT date FROM table_16678052_2 WHERE opponents = 17 AND result = "Win"
|
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What venue is in the state of Connecticut?
|
CREATE TABLE table_32892 (
"Region" text,
"Host" text,
"Venue" text,
"City" text,
"State" text
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|
SELECT "Venue" FROM table_32892 WHERE "State" = 'connecticut'
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What format is catalogue WPCR13504 in?
|
CREATE TABLE table_name_94 (
format VARCHAR,
catalogue VARCHAR
)
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SELECT format FROM table_name_94 WHERE catalogue = "wpcr13504"
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how many patients are born before 2089 and tested with cerebrospinal fluid in lab?
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
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 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.dob_year < "2089" AND lab.fluid = "Cerebrospinal Fluid (CSF)"
|
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Which physicians are in charge of more than one patient? Give me their names.
|
CREATE TABLE on_call (
nurse number,
blockfloor number,
blockcode number,
oncallstart time,
oncallend time
)
CREATE TABLE trained_in (
physician number,
treatment number,
certificationdate time,
certificationexpires time
)
CREATE TABLE procedures (
code number,
name text,
cost number
)
CREATE TABLE undergoes (
patient number,
procedures number,
stay number,
dateundergoes time,
physician number,
assistingnurse number
)
CREATE TABLE affiliated_with (
physician number,
department number,
primaryaffiliation boolean
)
CREATE TABLE room (
roomnumber number,
roomtype text,
blockfloor number,
blockcode number,
unavailable boolean
)
CREATE TABLE nurse (
employeeid number,
name text,
position text,
registered boolean,
ssn number
)
CREATE TABLE department (
departmentid number,
name text,
head number
)
CREATE TABLE medication (
code number,
name text,
brand text,
description text
)
CREATE TABLE stay (
stayid number,
patient number,
room number,
staystart time,
stayend time
)
CREATE TABLE patient (
ssn number,
name text,
address text,
phone text,
insuranceid number,
pcp number
)
CREATE TABLE block (
blockfloor number,
blockcode number
)
CREATE TABLE physician (
employeeid number,
name text,
position text,
ssn number
)
CREATE TABLE appointment (
appointmentid number,
patient number,
prepnurse number,
physician number,
start time,
end time,
examinationroom text
)
CREATE TABLE prescribes (
physician number,
patient number,
medication number,
date time,
appointment number,
dose text
)
|
SELECT T1.name FROM physician AS T1 JOIN patient AS T2 ON T1.employeeid = T2.pcp GROUP BY T1.employeeid HAVING COUNT(*) > 1
|
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] |
Who was the Opponent in the Auckland, New Zealand Tournament?
|
CREATE TABLE table_name_50 (opponent VARCHAR, tournament VARCHAR)
|
SELECT opponent FROM table_name_50 WHERE tournament = "auckland, new zealand"
|
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What year did a school from Jennings County join?
|
CREATE TABLE table_64906 (
"School" text,
"City" text,
"Team Name" text,
"County" text,
"Year Joined" text,
"Year Left" text
)
|
SELECT "Year Joined" FROM table_64906 WHERE "School" = 'jennings county'
|
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What is the time/retired with 22 laps and a grid of 29?
|
CREATE TABLE table_58416 (
"Rider" text,
"Manufacturer" text,
"Laps" real,
"Time/Retired" text,
"Grid" real
)
|
SELECT "Time/Retired" FROM table_58416 WHERE "Laps" = '22' AND "Grid" = '29'
|
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Tell me the school that jason fraser went to
|
CREATE TABLE table_name_14 (school VARCHAR, player VARCHAR)
|
SELECT school FROM table_name_14 WHERE player = "jason fraser"
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Who is the nominee for best director?
|
CREATE TABLE table_name_86 (nominee VARCHAR, category VARCHAR)
|
SELECT nominee FROM table_name_86 WHERE category = "best director"
|
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What Hanyu Pinyin is in the Jinning Township?
|
CREATE TABLE table_name_66 (
hanyu_pinyin VARCHAR,
name VARCHAR
)
|
SELECT hanyu_pinyin FROM table_name_66 WHERE name = "jinning township"
|
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What was the sum of Value ($M), when the Revenue ($M) was less than 307, the Team was Valencia, and the Rank was smaller than 19?
|
CREATE TABLE table_name_3 (value__ INTEGER, rank VARCHAR, revenue__$m_ VARCHAR, team VARCHAR)
|
SELECT SUM(value__) AS $m_ FROM table_name_3 WHERE revenue__$m_ < 307 AND team = "valencia" AND rank < 19
|
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List the players for team bryn s if (sweden).
|
CREATE TABLE table_74290 (
"Pick #" real,
"Player" text,
"Position" text,
"Nationality" text,
"NHL team" text,
"College/junior/club team" text
)
|
SELECT "Player" FROM table_74290 WHERE "College/junior/club team" = 'Brynäs IF (Sweden)'
|
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When the team is penske and they start under 9, what's the average finish time?
|
CREATE TABLE table_7748 (
"Year" real,
"Manufacturer" text,
"Start" real,
"Finish" real,
"Team" text
)
|
SELECT AVG("Finish") FROM table_7748 WHERE "Team" = 'penske' AND "Start" < '9'
|
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Who were the candidates in the Louisiana 4 district?
|
CREATE TABLE table_1341604_19 (candidates VARCHAR, district VARCHAR)
|
SELECT candidates FROM table_1341604_19 WHERE district = "Louisiana 4"
|
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Count the number of ships.
|
CREATE TABLE ship (
ship_id number,
name text,
type text,
built_year number,
class text,
flag text
)
CREATE TABLE captain (
captain_id number,
name text,
ship_id number,
age text,
class text,
rank text
)
|
SELECT COUNT(*) FROM ship
|
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How many people voted in Cabarrus county?
|
CREATE TABLE table_20350118_1 (
total INTEGER,
county VARCHAR
)
|
SELECT MIN(total) FROM table_20350118_1 WHERE county = "Cabarrus"
|
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What was the round 5 score if the team's total points where 212?
|
CREATE TABLE table_21099 (
"Rank" real,
"Team" text,
"Round1" real,
"Round2" real,
"Round3" real,
"Round4" real,
"Round5" real,
"Total Points" real
)
|
SELECT "Round5" FROM table_21099 WHERE "Total Points" = '212'
|
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What rank is aliyya qadi with less than 1421 votes?
|
CREATE TABLE table_57150 (
"Rank" real,
"List" text,
"Candidate name" text,
"Gender" text,
"Religion" text,
"Votes" real
)
|
SELECT MIN("Rank") FROM table_57150 WHERE "Candidate name" = 'aliyya qadi' AND "Votes" < '1421'
|
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combined land area -lrb- in acres -rrb- of millbrook 27 and sheet harbor 36
|
CREATE TABLE table_204_251 (
id number,
"community" text,
"area" text,
"location" text,
"population" number,
"date established" text
)
|
SELECT SUM("area") FROM table_204_251 WHERE "community" IN ('millbrook 27', 'sheet harbour 36')
|
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What rank has less than 16 gold, more than 2 bronze and silver, and a total of 14?
|
CREATE TABLE table_46037 (
"Rank" text,
"Gold" real,
"Silver" real,
"Bronze" real,
"Total" real
)
|
SELECT "Rank" FROM table_46037 WHERE "Gold" < '16' AND "Bronze" > '2' AND "Silver" > '2' AND "Total" = '14'
|
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Location of ebbets field, and a Time of 2:56, and a Game larger than 6 has what sum of attendance?
|
CREATE TABLE table_79858 (
"Game" real,
"Date" text,
"Location" text,
"Time" text,
"Attendance" real
)
|
SELECT SUM("Attendance") FROM table_79858 WHERE "Location" = 'ebbets field' AND "Time" = '2:56' AND "Game" > '6'
|
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What date was a brig type ship located in SW Approaches?
|
CREATE TABLE table_name_30 (date VARCHAR, ship_type VARCHAR, location VARCHAR)
|
SELECT date FROM table_name_30 WHERE ship_type = "brig" AND location = "sw approaches"
|
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When event 4 was Whiplash, what was event 2?
|
CREATE TABLE table_17257687_1 (event_2 VARCHAR, event_4 VARCHAR)
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SELECT event_2 FROM table_17257687_1 WHERE event_4 = "Whiplash"
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How many number of screenings have an opening film of the journey of vaan nguyen?
|
CREATE TABLE table_18220102_1 (number_of_screening VARCHAR, opening_film VARCHAR)
|
SELECT COUNT(number_of_screening) FROM table_18220102_1 WHERE opening_film = "The Journey of Vaan Nguyen"
|
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What type of disaster is rms atlantic categorized in that was located in Nova Scotia?
|
CREATE TABLE table_name_62 (
type VARCHAR,
location VARCHAR,
disaster VARCHAR
)
|
SELECT type FROM table_name_62 WHERE location = "nova scotia" AND disaster = "rms atlantic"
|
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What was the result for a friendly match?
|
CREATE TABLE table_name_86 (result VARCHAR, competition VARCHAR)
|
SELECT result FROM table_name_86 WHERE competition = "friendly match"
|
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What is the highest Rd that Tom Sneva had the pole position in?
|
CREATE TABLE table_10706961_2 (rd INTEGER, pole_position VARCHAR)
|
SELECT MAX(rd) FROM table_10706961_2 WHERE pole_position = "Tom Sneva"
|
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What was the record when they played golden state?
|
CREATE TABLE table_23274514_9 (
record VARCHAR,
team VARCHAR
)
|
SELECT record FROM table_23274514_9 WHERE team = "Golden State"
|
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What was the venue with a 3.3km c prologue discipline?
|
CREATE TABLE table_name_95 (venue VARCHAR, discipline VARCHAR)
|
SELECT venue FROM table_name_95 WHERE discipline = "3.3km c prologue"
|
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What is the venue on October 13, 2007?
|
CREATE TABLE table_name_60 (
venue VARCHAR,
date VARCHAR
)
|
SELECT venue FROM table_name_60 WHERE date = "october 13, 2007"
|
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What Nature reserve number was established on 19961220 20.12.1996
|
CREATE TABLE table_28235 (
"NSG Nr." real,
"Name of the nature reserve" text,
"District / Town" text,
"Area (ha)" text,
"Date established" text
)
|
SELECT MIN("NSG Nr.") FROM table_28235 WHERE "Date established" = '19961220 20.12.1996'
|
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Show the names of products and the number of events they are in.
|
CREATE TABLE Products (Product_Name VARCHAR, Product_ID VARCHAR); CREATE TABLE Products_in_Events (Product_ID VARCHAR)
|
SELECT T1.Product_Name, COUNT(*) FROM Products AS T1 JOIN Products_in_Events AS T2 ON T1.Product_ID = T2.Product_ID GROUP BY T1.Product_Name
|
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Name the opponent for 1996 at the mt smart stadium venue
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CREATE TABLE table_name_52 (opponent VARCHAR, venue VARCHAR, year VARCHAR)
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SELECT opponent FROM table_name_52 WHERE venue = "mt smart stadium" AND year = 1996
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Who wrote the episode directed by Peter Woeste?
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CREATE TABLE table_15284274_1 (written_by VARCHAR, directed_by VARCHAR)
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SELECT written_by FROM table_15284274_1 WHERE directed_by = "Peter Woeste"
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How many products are there?
|
CREATE TABLE ref_colors (
color_code text,
color_description text
)
CREATE TABLE products (
product_id number,
color_code text,
product_category_code text,
product_name text,
typical_buying_price text,
typical_selling_price text,
product_description text,
other_product_details text
)
CREATE TABLE ref_product_categories (
product_category_code text,
product_category_description text,
unit_of_measure text
)
CREATE TABLE characteristics (
characteristic_id number,
characteristic_type_code text,
characteristic_data_type text,
characteristic_name text,
other_characteristic_details text
)
CREATE TABLE product_characteristics (
product_id number,
characteristic_id number,
product_characteristic_value text
)
CREATE TABLE ref_characteristic_types (
characteristic_type_code text,
characteristic_type_description text
)
|
SELECT COUNT(*) FROM products
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find the number of elective type hospital admission patients who have ibuprofen suspension prescription.
|
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
)
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 = "ELECTIVE" AND prescriptions.drug = "Ibuprofen Suspension"
|
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What is the Alpha 2 code for Papua New Guinea?
|
CREATE TABLE table_24892 (
"English short name (upper/lower case)" text,
"Alpha-2 code" text,
"Alpha-3 code" text,
"Numeric code" real,
"ISO 3166-2 codes" text
)
|
SELECT "Alpha-2 code" FROM table_24892 WHERE "English short name (upper/lower case)" = 'Papua New Guinea'
|
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How many distinct companies are there?
|
CREATE TABLE entrepreneur (
Company VARCHAR
)
|
SELECT COUNT(DISTINCT Company) FROM entrepreneur
|
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what are the name of players who get more than the average points.
|
CREATE TABLE player (
name VARCHAR,
points INTEGER
)
|
SELECT name FROM player WHERE points > (SELECT AVG(points) FROM player)
|
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how many patients whose marital status is divorced and ethnicity is white - russian?
|
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 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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.marital_status = "DIVORCED" AND demographic.ethnicity = "WHITE - RUSSIAN"
|
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Which Frequency has a Multiplier of 6 ?
|
CREATE TABLE table_8841 (
"Model Number" text,
"Frequency" text,
"L2-Cache" text,
"Front Side Bus" text,
"Multiplier" text,
"Voltage" text,
"Socket" text
)
|
SELECT "Frequency" FROM table_8841 WHERE "Multiplier" = '6×'
|
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Which title was directed by Joyce Bernal?
|
CREATE TABLE table_name_76 (
title VARCHAR,
director VARCHAR
)
|
SELECT title FROM table_name_76 WHERE director = "joyce bernal"
|
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who was the next rider after tetsuya harada ?
|
CREATE TABLE table_203_35 (
id number,
"pos" text,
"rider" text,
"manufacturer" text,
"time/retired" text,
"points" number
)
|
SELECT "rider" FROM table_203_35 WHERE "pos" = (SELECT "pos" FROM table_203_35 WHERE "rider" = 'tetsuya harada') + 1
|
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For those records from the products and each product's manufacturer, give me the comparison about the sum of revenue over the headquarter , and group by attribute headquarter, rank total number from low to high order.
|
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 Headquarter, SUM(Revenue) FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY Headquarter ORDER BY SUM(Revenue)
|
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What are the purchase details of transactions with amount bigger than 10000, and count them by a bar chart, show by the names in ascending.
|
CREATE TABLE Transactions (
transaction_id INTEGER,
investor_id INTEGER,
transaction_type_code VARCHAR(10),
date_of_transaction DATETIME,
amount_of_transaction DECIMAL(19,4),
share_count VARCHAR(40),
other_details VARCHAR(255)
)
CREATE TABLE Lots (
lot_id INTEGER,
investor_id INTEGER,
lot_details VARCHAR(255)
)
CREATE TABLE Purchases (
purchase_transaction_id INTEGER,
purchase_details VARCHAR(255)
)
CREATE TABLE Sales (
sales_transaction_id INTEGER,
sales_details VARCHAR(255)
)
CREATE TABLE Investors (
investor_id INTEGER,
Investor_details VARCHAR(255)
)
CREATE TABLE Ref_Transaction_Types (
transaction_type_code VARCHAR(10),
transaction_type_description VARCHAR(80)
)
CREATE TABLE Transactions_Lots (
transaction_id INTEGER,
lot_id INTEGER
)
|
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 purchase_details
|
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