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CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many businesses are actively running in Gilbert City?
SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Gilbert' AND active LIKE 'True'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many businesses in the AZ state got low quality of reviews?
SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND review_count LIKE 'Low'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Please state any three business numbers in AZ state that have received the "Great experience" review stars.
SELECT DISTINCT T2.business_id FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T2.state LIKE 'AZ' AND T1.review_stars = 5 LIMIT 3
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Please name one attribute that business number 2 does not have.
SELECT T1.attribute_name FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_value LIKE 'none' LIMIT 1
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many "cool" compliments did user number 33 receive?
SELECT COUNT(T2.compliment_type) FROM Users_Compliments AS T1 INNER JOIN Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.user_id = 33 AND T2.compliment_type LIKE 'cool'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What are the opening hours of business number 53 on Friday?
SELECT T1.closing_time - T1.opening_time AS "opening hours" FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T2.day_of_week LIKE 'Friday' AND T1.business_id = 53
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What are the attributes that business number 56 have?
SELECT T1.attribute_name FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_value LIKE 'TRUE' AND T2.business_id = 56
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What are the categories that business number 15 belongs to?
SELECT T2.category_name FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id WHERE T1.business_id = 15
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many businesses are there in Scottsdale city under the category of "Beauty & Spas"?
SELECT COUNT(T2.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.city LIKE 'Scottsdale' AND T1.category_name LIKE 'Beauty & Spas'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Please list any two user numbers that have an "Uber" number of cute compliments.
SELECT T1.user_id FROM Users_Compliments AS T1 INNER JOIN Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.number_of_compliments LIKE 'Uber' AND T2.compliment_type LIKE 'cute' LIMIT 2
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many businesses operating in the "Accessories" category have received a "wonderful experience" review from users?
SELECT COUNT(T2.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.stars > 3 AND T1.category_name LIKE 'Accessories'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How long does business number 12 in Scottsdale stay open on day number 3?
SELECT T2.closing_time - T2.opening_time AS "hour" FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.business_id = 12 AND T1.city LIKE 'Scottsdale' AND T2.day_id = 3
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many businesses in AZ state do not open on Thursday?
SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Checkins AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T2.label_time_4 LIKE 'None' AND T1.state LIKE 'AZ' AND T3.day_of_week LIKE 'Thursday'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many businesses of Yelp are in Scottsdale?
SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Scottsdale'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Among the Yelp_Businesses in Arizona, how many of them are still running?
SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND active LIKE 'True'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many Yelp_Businesses in Scottsdale have received positive comments in the Elitestar rating?
SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Scottsdale' AND stars > 3
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Which city has more Yelp_Business that's more appealing to users, Scottsdale or Anthem?
SELECT city FROM Business ORDER BY review_count DESC LIMIT 1
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many Yelp_Businesses in Arizona have a Elitestar rating of over 4?
SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND stars > 4
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many Yelp_Businesses are there in Arizona in total?
SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Please list the cities of the Yelp_Businesses that have gotten a 5 in the Elitestar rating.
SELECT city FROM Business WHERE stars = 5 GROUP BY city
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many reviews have the user whose ID is 3 posted?
SELECT COUNT(review_length) FROM Reviews WHERE user_id = 3
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many reviews made by user whose ID is 3 are long?
SELECT COUNT(review_length) FROM Reviews WHERE user_id = 3 AND review_length LIKE 'Long'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Among the long reviews made by user ID 3, how many of them have received a medium number of useful votes?
SELECT COUNT(review_length) FROM Reviews WHERE user_id = 3 AND review_length LIKE 'Long' AND review_votes_useful LIKE 'Medium'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many users have joined Yelp since the year 2012?
SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year = 2012
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Please list the IDs of the users who have a high number of followers.
SELECT user_id FROM Users WHERE user_fans LIKE 'High' GROUP BY user_id
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many Yelp_Businesses do not provide alcohol?
SELECT COUNT(T1.attribute_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name LIKE 'Alcohol' AND T2.attribute_value LIKE 'none'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Among the Yelp_Businesses in Arizona, how many of them do not provide alcohol?
SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name LIKE 'Alcohol' AND T2.attribute_value LIKE 'none' AND T3.state LIKE 'AZ'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Please list the business IDs of all the Yelp_Businesses that are good for kids.
SELECT T2.business_id FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name LIKE 'Good for Kids' AND T2.attribute_value LIKE 'TRUE'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many Yelp_Business falls under the category of "Shopping"?
SELECT COUNT(T1.category_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id WHERE T1.category_name LIKE 'Shopping'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Under which categories is Yelp_Business no. 1?
SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id WHERE T2.business_id = 1
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Among the Yelp_Businesses which are still running, how many of them fall under the category of "Food"?
SELECT COUNT(T3.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Tips AS T4 ON T3.business_id = T4.business_id WHERE T1.category_name LIKE 'Food' AND T3.active LIKE 'TRUE'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many Yelp_Business in Anthem are under the category of "Food"?
SELECT COUNT(T3.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name LIKE 'Food' AND T3.city LIKE 'Anthem'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Please list the business ID of the Yelp_Business with the highest Elitestar rating under the category "Food".
SELECT T2.business_id FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name LIKE 'Food' ORDER BY T3.stars DESC LIMIT 1
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many Yelp_Business under the category of "Food" are good for kids?
SELECT COUNT(T3.stars) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Attributes AS T4 ON T3.business_id = T4.business_id INNER JOIN Attributes AS T5 ON T4.attribute_id = T5.attribute_id WHERE T1.category_name LIKE 'Food' AND T5.attribute_name LIKE 'Good for Kids' AND T4.attribute_value LIKE 'TRUE'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many Yelp_Business in Arizona has user no. 3 reviewed?
SELECT COUNT(T2.business_id) FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T2.state LIKE 'AZ' AND T1.user_id = 3
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Please list all the categories of the Yelp_Business in Arizona.
SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.state LIKE 'AZ' GROUP BY T1.category_name
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How long does Yelp_Business no.1 open on Tuesdays?
SELECT T1.closing_time - T1.opening_time AS "opening hours" FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T2.day_of_week LIKE 'Tuesday' AND T1.business_id = 1
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
When does Yelp_Business no.1 open on Tuesdays?
SELECT T1.opening_time FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T2.day_of_week LIKE 'Tuesday' AND T1.business_id = 1
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many Yelp_Business close after 8PM on Mondays?
SELECT COUNT(T1.business_id) FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T2.day_of_week LIKE 'Monday' AND T1.closing_time > '8PM'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Please list the opening time on Mondays of all the Yelp_Businesses in Anthem that are still running.
SELECT T1.opening_time FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T2.day_of_week LIKE 'Monday' AND T3.city LIKE 'Anthem' AND T3.active LIKE 'True' GROUP BY T1.opening_time
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Among the Yelp_Business in Arizona, how many of them closes at 12PM on Sundays?
SELECT COUNT(T1.business_id) FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T2.day_of_week LIKE 'Sunday' AND T1.closing_time LIKE '12PM' AND T3.state LIKE 'AZ'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Please list the categories of the Yelp_Business that closes at 12PM on Sundays.
SELECT T4.category_name FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business_Categories AS T3 ON T1.business_id = T3.business_id INNER JOIN Categories AS T4 ON T4.category_id = T4.category_id WHERE T1.closing_time = '12PM' AND T2.day_of_week = 'Sunday' GROUP BY T4.category_name
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many "Good for Kids" Yelp_Businesses are open everyday of the week?
SELECT COUNT(T1.business_id) FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business_Attributes AS T3 ON T1.business_id = T3.business_id INNER JOIN Attributes AS T4 ON T4.attribute_id = T4.attribute_id WHERE T2.day_id IN (1, 2, 3, 4, 5, 6, 7) AND T4.attribute_name = 'Good for Kids' AND T3.attribute_value = 'true'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many users became an elite user the same year they joined Yelp?
SELECT COUNT(T1.user_id) FROM Users AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = T2.year_id
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What is the longest business time on Mondays for a Yelp_Business under the category "Shopping"?
SELECT T1.closing_time + 12 - T1.opening_time AS "hour" FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id INNER JOIN Business_Categories AS T4 ON T3.business_id = T4.business_id INNER JOIN Categories AS T5 ON T4.category_id = T5.category_id WHERE T2.day_of_week LIKE 'Monday' AND T5.category_name LIKE 'Shopping' ORDER BY T1.closing_time + 12 - T1.opening_time DESC LIMIT 1
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Please list the business IDs of the Yelp_Business that have a business time of longer than 12 hours on Sundays.
SELECT T1.business_id FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T1.closing_time + 12 - T1.opening_time > 12 AND T2.day_of_week LIKE 'Sunday' GROUP BY T1.business_id
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many elite users have reviewed Yelp_Business no.1?
SELECT COUNT(T1.user_id) FROM Users AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id INNER JOIN Reviews AS T3 ON T1.user_id = T3.user_id WHERE T3.business_id = 1
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Among the users who have posted more than 10 reviews, how many users are elite users?
SELECT COUNT(T4.user_id) FROM ( SELECT T1.user_id FROM Users AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id INNER JOIN Reviews AS T3 ON T1.user_id = T3.user_id WHERE T3.user_id IS NOT NULL GROUP BY T3.user_id HAVING COUNT(T3.user_id) > 10 ) T4
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Which Yelp_Business in Arizona gets the most number of reviews?
SELECT T1.user_id FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T2.state LIKE 'AZ' GROUP BY T1.user_id ORDER BY COUNT(T1.user_id) DESC LIMIT 1
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many stars on average does a Yelp_Business in Anthem get from a user review?
SELECT AVG(T2.review_stars) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city LIKE 'Anthem'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many stars on average does user no.3 give to Yelp_Business in Arizona?
SELECT AVG(T2.review_stars) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.state LIKE 'AZ' AND T2.user_id = 3
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What is the average business time for Yelp_Business no.1 on weekends?
SELECT T1.closing_time + 12 - T1.opening_time AS "avg opening hours" FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T1.business_id = 1 AND (T2.day_of_week = 'Sunday' OR T2.day_of_week = 'Sunday')
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What is the average Elitestar rating for a Yelp_Business that closes at 12PM on Sundays?
SELECT CAST(SUM(T3.stars) AS REAL) / COUNT(T1.business_id) AS "average stars" FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T2.day_of_week LIKE 'Sunday' AND T1.closing_time LIKE '12PM'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many of the busineses are in Casa Grande?
SELECT COUNT(city) FROM Business WHERE city LIKE 'Casa Grande'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What is the total number of active businesses in AZ with a low review count?
SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND active LIKE 'True' AND review_count LIKE 'low'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
List down the business ID with a star range from 2 to 3, located at Mesa.
SELECT business_id FROM Business WHERE city LIKE 'Mesa' AND stars BETWEEN 2 AND 3
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
In users yelping since 2011 to 2013, how many of them have high count of fans?
SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year BETWEEN 2011 AND 2013 AND user_fans LIKE 'High'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What is the review length of user 35026 to business with business ID 2?
SELECT review_length FROM Reviews WHERE user_id = 35026 AND business_id = 2
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Among the businesses in Chandler, list the attribute of the business with a low review count.
SELECT DISTINCT T3.attribute_id, T3.attribute_name FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.attribute_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.review_count = 'Low' AND T1.city = 'Chandler'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
In businesses with a category of mexican, how many of them has a star rating below 4?
SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.stars < 4 AND T3.category_name LIKE 'Mexican'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
List the active business ID and its stars of the businesses fall under the category of Fashion.
SELECT T1.business_id, T1.stars FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.active LIKE 'TRUE' AND T3.category_name LIKE 'Fashion'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What is the category of businesses with highest star rating?
SELECT T3.category_name FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id ORDER BY T1.stars DESC LIMIT 1
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What is the category of the business with medium review length and highest review stars within business ID from 6 t0 9?
SELECT T4.category_name FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T1.review_length LIKE 'Medium' AND T2.business_id BETWEEN 6 AND 9 ORDER BY T1.review_stars DESC LIMIT 1
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Count the active businesses that has an attribute of caters with low review count.
SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T3.attribute_name LIKE 'Caters' AND T1.review_count LIKE 'Low' AND T1.active LIKE 'TRUE'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What is the closing and opening time of businesses located at Tempe with highest star rating?
SELECT T2.closing_time, T2.opening_time FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.city LIKE 'Tempe' ORDER BY T1.stars DESC LIMIT 1
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Among the active businesses located at Chandler, AZ, list the category and atrributes of business with a medium review count.
SELECT T3.category_name, T5.attribute_name FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id INNER JOIN Business_Attributes AS T4 ON T1.business_id = T4.business_id INNER JOIN Attributes AS T5 ON T4.attribute_id = T5.attribute_id WHERE T1.active LIKE 'TRUE' AND T1.state LIKE 'AZ' AND T1.city LIKE 'Chandler' AND T1.review_count LIKE 'Medium'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
List the categories of active businesses in Surprise, AZ.
SELECT T3.category_name FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.active LIKE 'TRUE' AND T1.state LIKE 'AZ' AND T1.city LIKE 'Surprise' GROUP BY T3.category_name
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Find the location of businesses that have business hours from 8 am to 9 pm every Friday.
SELECT T1.city FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T2.closing_time LIKE '9PM' AND T2.opening_time LIKE '8AM' AND T3.day_of_week LIKE 'Friday' GROUP BY T1.city
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What is the attribute value of an active business with a high review count and 3 stars which is located at Mesa, AZ?
SELECT T2.attribute_value FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.state LIKE 'AZ' AND T1.review_count LIKE 'High' AND T1.active LIKE 'TRUE' AND T1.city LIKE 'Mesa' AND T1.stars = 3
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What is the opening time of the active businesses in Chandler that has a medium review count.
SELECT DISTINCT T2.opening_time FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city LIKE 'Chandler' AND T1.active LIKE 'TRUE' AND T1.review_count LIKE 'Medium'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Among the businesses with a category of Accessories, what is the percentage of the business with less than 4 stars?
SELECT CAST(SUM(CASE WHEN T1.stars < 4 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.stars) AS "percentage" FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T3.category_name LIKE 'Accessories'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
List the closing time and day of week of active businesses in Tempe with stars greater than the 70% of average age of star rating.
SELECT T2.closing_time, T3.day_of_week FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city LIKE 'Tempe' AND T1.active LIKE 'TRUE' AND T1.stars > 0.7 * ( SELECT AVG(T1.stars) FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city LIKE 'Tempe' AND T1.active LIKE 'TRUE' )
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many active businesses are located at Phoenix, Arizona?
SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Phoenix' AND active LIKE 'True'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many businesses are with high review count?
SELECT COUNT(business_id) FROM Business WHERE review_count LIKE 'High'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many businesses ID sell beer and wine?
SELECT COUNT(business_id) FROM Business_Attributes WHERE attribute_id = 1 AND attribute_value = 'beer_and_wine'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many attributes ID owned by business ID 2?
SELECT COUNT(attribute_id) FROM Business_Attributes WHERE business_id = 2
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many users received high compliment type in photo?
SELECT COUNT(T1.user_id) FROM Users_Compliments AS T1 INNER JOIN Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.number_of_compliments LIKE 'High' AND T2.compliment_id = 1
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many businesses in Phoenix, Arizona is attributed to waiter service?
SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.city LIKE 'Phoenix' AND T3.attribute_name LIKE 'waiter_service' AND T2.attribute_id = 2
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Find out which business is opened for 24/7 and list out what is the business attribute.
SELECT T5.attribute_name FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id INNER JOIN Business_Attributes AS T4 ON T3.business_id = T4.business_id INNER JOIN Attributes AS T5 ON T4.attribute_id = T5.attribute_id WHERE T2.day_id LIKE '1' AND '2' AND '3' AND '4' AND '5' AND '6' AND '7' AND T1.opening_time = T1.closing_time GROUP BY T5.attribute_name
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Which business in fashion category has the most review?
SELECT T3.business_id FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Reviews AS T4 ON T3.business_id = T4.business_id WHERE T1.category_name LIKE 'Fashion' AND T1.category_id = 7 GROUP BY T3.business_id ORDER BY COUNT(T4.user_id) DESC LIMIT 1
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
List out which business category that are most likely to have average good review in Arizona?
SELECT DISTINCT T4.category_name FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T2.state LIKE 'AZ' AND T1.review_stars >= 3
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What is the ratio of having the best to worse elite user in 2013?
SELECT CAST(SUM(CASE WHEN T1.user_average_stars = 1 THEN 1 ELSE 0 END) AS REAL) / COUNT(T2.user_id) , SUM(CASE WHEN T1.user_average_stars = 5 THEN 1 ELSE 0 END) * 1.0 / COUNT(T2.user_id) FROM Users AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id WHERE T2.year_id = 2013
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Calculate the increment percentage of elite user for each year since year 2005.
SELECT CAST(COUNT(CASE WHEN year_id < 2014 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(CASE WHEN year_id = 2005 THEN 1.0 ELSE NULL END) AS increment FROM Elite
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many business have been reviewed by user ID 3 and how long have this user been with Yelp?
SELECT COUNT(T1.business_id) , strftime('%Y', 'now') - T2.user_yelping_since_year FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.user_id = 3
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What is the yearly average review done by user ID 3?
SELECT COUNT(review_stars) / (strftime('%Y', 'now') - T1.user_yelping_since_year) FROM Users AS T1 INNER JOIN Reviews AS T2 ON T1.user_id = T2.user_id WHERE T1.user_id = 3
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What is the average number of review received by each business given that the user is an elite?
SELECT CAST(COUNT(T1.user_id) AS REAL) / COUNT(DISTINCT T1.business_id) FROM Reviews AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
List out the user who is an elite user for consecutively 5 years or more and what is the user average star? How many likes does this user gets?
SELECT T2.user_average_stars, COUNT(T3.likes) FROM Elite AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id INNER JOIN Tips AS T3 ON T3.user_id = T2.user_id GROUP BY T1.user_id HAVING COUNT(T1.user_id) > 5
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Find out which hotel and travel business having the most review? Calculate the standard deviation of the review star for this business.
SELECT T2.category_id FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Reviews AS T3 ON T3.business_id = T1.business_id WHERE T2.category_name = 'Hotels & Travel' GROUP BY T2.category_id ORDER BY COUNT(T2.category_id) DESC LIMIT 1
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What is the correlation between the review starts and business stars?
SELECT CAST(SUM(T2.review_stars) AS REAL) / COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many of the businesses are active?
SELECT COUNT(business_id) FROM Business WHERE active LIKE 'True'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
List down the business ID with a low review count in Phoenix.
SELECT business_id FROM Business WHERE city LIKE 'Phoenix' AND review_count LIKE 'Low'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What is the total number of active business in AZ with a high review count?
SELECT COUNT(business_id) FROM Business WHERE state LIKE 'AZ' AND review_count LIKE 'High' AND active LIKE 'True'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
List down the business ID with a star range from 3 to 4, located at Tempe.
SELECT business_id FROM Business WHERE city LIKE 'Tempe' AND stars BETWEEN 3 AND 4
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
In users yelping since 2010 to 2012, how many of them has an low fans?
SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year BETWEEN 2010 AND 2012 AND user_fans LIKE 'Low'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What is the review length of user 60776 to business with business ID 1?
SELECT review_length FROM Reviews WHERE user_id = 60776 AND business_id = 1
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Among the businesses in Scottsdale, list the attribute of the business with a high review count.
SELECT T3.attribute_name FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.review_count LIKE 'High' AND T1.city LIKE 'Scottsdale' GROUP BY T3.attribute_name
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
In businesses with a category of automotive, how many of them has an star rating below 3?
SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T3.category_name LIKE 'Automotive' AND T1.stars < 3
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
List the active business ID and its stars of the businesses fall under the category of Pets.
SELECT T1.business_id, T1.stars FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.active LIKE 'TRUE' AND T3.category_name LIKE 'Pets'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What is the attribute of the business with highest star rating?
SELECT T3.attribute_name FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id ORDER BY T1.stars DESC LIMIT 1
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What is the category of the business with short review length and highest review stars within business ID from 5 t0 10?
SELECT T4.category_name FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T1.review_length LIKE 'Short' AND T2.business_id BETWEEN 5 AND 10 ORDER BY T1.review_stars DESC LIMIT 1
bird