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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)
List out the state of businesses which have opening time at 1AM.
SELECT DISTINCT T1.state FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T2.opening_time = '1AM'
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 category name of business id 5.
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 = 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)
List out the user id that has compliment type of photos.
SELECT T2.user_id FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.compliment_type = 'photos'
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 percentage of medium tip length in the list. List out the time when users of medium tip length join Yelp.
SELECT CAST(SUM(CASE WHEN T1.tip_length = 'Medium' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.tip_length), T2.user_yelping_since_year FROM Tips AS T1 INNER JOIN Users 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)
Calculate the percentage of businesses who located in Mesa. What is attribute value of these businesses.
SELECT CAST(COUNT(T1.city) AS REAL) * 100 / ( SELECT COUNT(business_id) FROM Business ), T2.attribute_value FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Mesa'
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)
State the state of businesses which have closing time at 12AM.
SELECT DISTINCT T1.state FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T2.closing_time = '12AM'
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 which have attribute of beer_and_wine, how many business located in Peoria?
SELECT COUNT(T1.business_id) FROM Business_Attributes AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T2.city = 'Peoria' AND T1.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)
Among the users who received high compliments from other users, which users joined Yelp earliest?
SELECT T2.user_id FROM Users AS T1 INNER JOIN Users_Compliments AS T2 ON T1.user_id = T2.user_id WHERE T2.number_of_compliments = 'High' AND T1.user_yelping_since_year = ( SELECT MIN(user_yelping_since_year) FROM Users )
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 ID has the most reviews?
SELECT business_id FROM Reviews GROUP BY business_id ORDER BY COUNT(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)
Which year has the most elite users?
SELECT year_id FROM Elite GROUP BY year_id ORDER BY COUNT(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 5 star businesses have uber review votes for funny?
SELECT COUNT(business_id) FROM Reviews WHERE review_stars = 5 AND review_votes_funny = 'Uber'
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 uber review votes for funny from the fans?
SELECT COUNT(DISTINCT user_id) FROM Reviews WHERE review_votes_funny = 'Uber'
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 ID have the shortest business operating hours?
SELECT business_id FROM Business_Hours ORDER BY closing_time - opening_time 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)
Find out which business ID are opened all the time.
SELECT DISTINCT business_id FROM Business_Hours WHERE day_id >= 1 AND day_id < 8 AND opening_time = closing_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)
Does the length of the tip influence the number of likes for hotel and travel business category?
SELECT T3.tip_length, SUM(T3.likes) AS likes FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Tips AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name = 'Hotels & Travel' GROUP BY T3.tip_length
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 manage to get uber votes for all of the review category? Find out what are the user average star.
SELECT COUNT(T2.user_id) AS USER_IDS, T2.user_average_stars FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.review_votes_funny = 'Uber' AND T1.review_votes_useful = 'Uber' AND T1.review_votes_cool = 'Uber'
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 good to bad business star for a businesses that are opened all the time?
SELECT CAST(SUM(CASE WHEN T1.stars BETWEEN 3.5 AND 5 THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.stars BETWEEN 1 AND 2.5 THEN 1 ELSE 0 END) AS ratio FROM Business AS T1 INNER JOIN Business_Hours 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)
List out 10 business ID that are being reviewed the most by users and list out what are top 3 business categories.
SELECT T2.business_id, T3.category_name FROM Reviews 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 GROUP BY T2.business_id ORDER BY COUNT(T1.user_id) DESC LIMIT 10
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 Arizona having an average review less than 3 stars?
SELECT COUNT(business_id) FROM Business WHERE business_id IN ( SELECT DISTINCT T1.business_id FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.state = 'AZ' GROUP BY T1.business_id HAVING SUM(T2.review_stars) / COUNT(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 percentage of user not becoming an elite user?
SELECT CAST((( SELECT COUNT(user_id) FROM Users ) - ( SELECT COUNT(DISTINCT user_id) FROM Elite )) AS REAL) * 100 / ( SELECT COUNT(user_id) FROM Users )
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 most common compliments types received by user with uber number of fans?
SELECT DISTINCT T3.compliment_type FROM Users AS T1 INNER JOIN Users_Compliments AS T2 ON T1.user_id = T2.user_id INNER JOIN Compliments AS T3 ON T2.compliment_id = T3.compliment_id WHERE T1.user_fans = 'Uber'
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 year needed by a user with uber fans to become an elite user?
SELECT CAST(SUM(T2.year_id - T1.user_yelping_since_year) AS REAL) / COUNT(T1.user_id) FROM Users AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id WHERE T1.user_fans = 'Uber'
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 year for a user to be upgraded to elite user?
SELECT CAST(SUM(T2.year_id - T1.user_yelping_since_year) AS REAL) / COUNT(T1.user_id) FROM Users 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)
How many business are opened for more than 8 hour in Mesa and what is the percentage of the active businesses?
SELECT CAST(SUM(CASE WHEN T1.active = 'true' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) AS ACT FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Mesa'
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 opened during late afternoon in the Phoenix city? List out the top 3 categories name for these businesses.
SELECT DISTINCT T4.category_name FROM Business_Hours 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.active = 'true' AND T2.city = 'Phoenix' AND T1.opening_time >= '5PM' 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)
Which user has done the most review on a business attributed to delivery?
SELECT T3.user_id FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Reviews AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name = 'Delivery' GROUP BY T3.user_id ORDER BY COUNT(T2.business_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 average number of reviews written for active businesses that operate not more than 30 hours a week?
SELECT AVG(T3.user_id) FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Reviews AS T3 ON T1.business_id = T3.business_id WHERE T1.active = 'true' GROUP BY T2.closing_time - T2.opening_time HAVING SUM(T2.closing_time - T2.opening_time) < 30
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 ids have opening hours from 8AM to 6PM?
SELECT DISTINCT business_id FROM Business_Hours WHERE opening_time = '8AM' AND closing_time = '6PM'
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)
Provide business ids with opening hours 10AM on Saturday.
SELECT DISTINCT business_id FROM Business_Hours WHERE day_id = 6 AND opening_time = '10AM'
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)
Indicate the business id and days which are opened from 8AM to 6PM.
SELECT DISTINCT day_id FROM Business_Hours WHERE opening_time = '8AM' AND closing_time = '6PM'
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 are rated more than 4?
SELECT COUNT(business_id) FROM Business WHERE 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)
What are the categories of businesses that have opening time on Sunday?
SELECT DISTINCT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T2.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id WHERE T4.day_of_week = 'Sunday' AND T3.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)
Please indicate the opening day of businesses whose category is pets.
SELECT DISTINCT T4.day_of_week FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T1.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id WHERE T2.category_name = '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)
Please indicate the closing hours and business days of the businesses with the category named Doctors.
SELECT DISTINCT T3.opening_time, T3.day_id FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T1.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id WHERE T2.category_name = 'Doctors'
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 working days from Monday to Saturday, which businesses with the category names work the most days?
SELECT T2.category_name FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T1.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id GROUP BY T2.category_name ORDER BY COUNT(T3.day_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)
Please indicate the business id have the closing time with the category of Arts & Entertainment on Sunday.
SELECT T1.business_id, T3.closing_time FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T1.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id WHERE T2.category_name = 'Arts & Entertainment' AND T4.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)
In businesses with a category of "DJs", how many businesses are rated less than 5?
SELECT COUNT(T1.business_id) 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 WHERE T3.category_name = 'DJs' AND T1.stars < 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)
List active business ids with opening times of 7AM and closing times of 8PM.
SELECT DISTINCT T4.business_id FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T2.business_id = T3.business_id INNER JOIN Business AS T4 ON T3.business_id = T4.business_id WHERE T4.active = 'true' AND T3.opening_time = '7AM' AND T3.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)
How many businesses with the category named Stadiums & Arenas are rated highest?
SELECT COUNT(T1.business_id) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T2.category_name = 'Stadiums & Arenas' AND T3.stars = ( SELECT MAX(stars) FROM Business )
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 category id have low review count and rating more than 2?
SELECT COUNT(DISTINCT T1.category_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.review_count = 'Low' AND T3.stars > 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)
Which businesses with the category name Accessories have opening hours before 7AM?
SELECT T1.business_id FROM Business_Hours 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 WHERE T3.category_name = 'Accessories' AND SUBSTR(T1.opening_time, -4, 2) * 1 < 7 AND T1.opening_time LIKE '%AM'
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 in Arizona, how many businesses work after 12PM?
SELECT COUNT(DISTINCT T2.business_id) FROM Business_Hours 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.active = 'true' AND T2.state = 'AZ' AND T1.opening_time > '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)
Please provide the name of businesses with user id "16328".
SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Tips AS T3 ON T2.business_id = T3.business_id WHERE T3.user_id = 16328
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 have the category named food? List those businesses and find the percentage of businesses with less than 2 stars.
SELECT T3.business_id, CAST((( SELECT COUNT(business_id) FROM Business WHERE stars < 2 ) - ( SELECT COUNT(business_id) FROM Business WHERE stars > 2 )) AS REAL) * 100 / ( SELECT COUNT(stars) FROM Business ) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T2.category_name = 'Food'
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 percentage of businesses with the category name food that are open from 7AM to 8PM in the businesses with the same time.
SELECT CAST(SUM(CASE WHEN T3.category_name = 'Food' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.category_name) FROM Business_Categories AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T1.category_id = T3.category_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)
Write down the number of running business with each review count in Cave Creek city.
SELECT SUM(CASE WHEN review_count = 'High' THEN 1 ELSE 0 END) AS high , SUM(CASE WHEN review_count = 'Medium' THEN 1 ELSE 0 END) AS Medium , SUM(CASE WHEN review_count = 'Low' THEN 1 ELSE 0 END) AS low FROM Business WHERE city = 'Cave Creek' AND active = '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)
Calculate the yearly average user who started using Yelp from the year of 2005 to 2014.
SELECT AVG(user_id) FROM Users WHERE user_yelping_since_year >= 2005 AND user_yelping_since_year <= 2015
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 active and inactive ratio of the business with the review count of low.
SELECT CAST(SUM(CASE WHEN active = 'true' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN active = 'false' THEN 1 ELSE 0 END) AS radio FROM Business WHERE review_count = '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 any five of user ID who became elite user in 2006.
SELECT user_id FROM Elite WHERE year_id = 2006 LIMIT 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)
Write down the any five of ID and name of category that starts with alphabet "P".
SELECT category_id, category_name FROM Categories WHERE category_name LIKE 'P%' LIMIT 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)
Provide the list of user ID along with review star of which has the review length of medium with business ID of 35.
SELECT user_id, review_stars FROM Reviews WHERE business_id = 15 AND review_length = '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 down the business ID and attribute value of the attribute name of "payment_types_visa".
SELECT T2.business_id, T2.attribute_value FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name = 'payment_types_visa'
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)
Describe ID and active status of the business under category of "Diagnostic Imaging".
SELECT T2.business_id, T3.active 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 = 'Diagnostic Imaging'
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)
Mention the user ID and their year of joining Yelp who had great experience on business ID 143.
SELECT T2.user_id, T2.user_yelping_since_year FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.business_id = 143 AND T1.review_stars = 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)
Among the user ID with number in compliment of uber on profile, list any 5 user ID and the year when they join Yelp.
SELECT T3.user_id, T3.user_yelping_since_year FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id INNER JOIN Users AS T3 ON T2.user_id = T3.user_id WHERE T1.compliment_type = 'profile' AND T2.number_of_compliments = 'Uber' LIMIT 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)
List the user ID, business ID with review length of the business which received the most likes in tips.
SELECT T1.user_id, T1.business_id, T2.review_length FROM Tips AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id ORDER BY T1.likes 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 elite users of 10 consecutive year from 2005 to 2014, list down the user ID and their number of compliment on photos.
SELECT T2.user_id, T2.number_of_compliments FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id INNER JOIN Elite AS T3 ON T2.user_id = T3.user_id WHERE T3.year_id BETWEEN 2005 AND 2014 AND T1.compliment_type = 'photos'
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 percentage of business which opened on Sunday from 9AM to 9PM based on the number of business opened on Sunday.
SELECT CAST(SUM(CASE WHEN T2.opening_time = '9AM' AND T2.closing_time = '9PM' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.day_id) FROM Days AS T1 INNER JOIN Business_Hours AS T2 ON T1.day_id = T2.day_id WHERE T1.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)
Write down the ID and opening day of a week for the business which are running in Black Canyon City.
SELECT T2.business_id, 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 = 'Black Canyon City' AND T1.active = '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)
Within the user who joined Yelp in 2004, explore the user ID with average star of 5 and it's review length on the business.
SELECT T2.user_id, T2.review_length FROM Users AS T1 INNER JOIN Reviews AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = 2004 AND T1.user_average_stars = 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)
Which business ID received the review of 4 star and above by 65% of user? Describe their active status and city.
SELECT DISTINCT T2.business_id, T2.city FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.review_stars >= 4 AND ( SELECT CAST(( SELECT COUNT(DISTINCT T1.user_id) FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.review_stars >= 4 ) AS REAL) * 100 / ( SELECT COUNT(user_id) FROM Users ) > 65 )
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 difference between running business in Glendale City and Mesa City.
SELECT SUM(CASE WHEN city = 'Glendale' THEN 1 ELSE 0 END) - SUM(CASE WHEN city = 'Mesa' THEN 1 ELSE 0 END) AS diff FROM Business WHERE active = '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 likes did short comment left by users who joined in 2010 get?
SELECT SUM(T2.likes) FROM Users AS T1 INNER JOIN Tips AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = 2010
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)
For users with average ratings of 3, what kind of tip length they mostly left?
SELECT T2.tip_length FROM Users AS T1 INNER JOIN Tips AS T2 ON T1.user_id = T2.user_id WHERE T1.user_average_stars = 3 GROUP BY T2.tip_length ORDER BY COUNT(T2.tip_length) 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)
Sum up the likes get by short reviews on businesses located in City Goodyear.
SELECT SUM(T2.likes) AS likes FROM Business AS T1 INNER JOIN Tips AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Goodyear'
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)
For businesses with long length reviews, which state are they located?
SELECT DISTINCT T1.state FROM Business AS T1 INNER JOIN Tips AS T2 ON T1.business_id = T2.business_id WHERE T2.tip_length = '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)
How much time do businesses in El Mirage City, AZ State operate in average daily?
SELECT SUM(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 = 'El Mirage' AND T1.state = '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)
List down the closing day of businesses located at SC State.
SELECT T3.day_id - T2.day_id 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.state = 'SC'
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 category of businesses whose stars ratings are 5.
SELECT DISTINCT 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 WHERE T1.stars = 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)
What are the states of businesses with attribute of beer and wine located?
SELECT DISTINCT T2.state FROM Business_Attributes AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.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 user's compliment in photo has medium in number?
SELECT COUNT(T2.user_id) FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.compliment_type = 'photos' AND T2.number_of_compliments = '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 businesses with "Wi-Fi" attribute, which businesses id are located at SC State?
SELECT T3.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 = 'Wi-Fi' AND T2.attribute_value = 'true' AND T3.state = 'SC'
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)
Sum up the number of business with "ambience_romantic" attribute.
SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name = 'ambience_romantic' AND T2.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)
What is the percentage of businesses with "Good for Kids" attribute over the other attributes?
SELECT CAST(SUM(CASE WHEN attribute_name = 'Good for Kids' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.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 businesses are not closed in the city of Mesa?
SELECT COUNT(business_id) FROM Business WHERE city = 'Mesa' AND active = '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)
In how many businesses have customers had a bad or terrible experience?
SELECT COUNT(business_id) FROM Business WHERE stars IN (1, 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)
List by ID the businesses with the reviews with the lowest veracity of Paradise Valley.
SELECT business_id FROM Business WHERE stars > 3 AND city = 'Paradise Valley' AND review_count = '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)
How many businesses have more than 1 attribute?
SELECT COUNT(business_id) FROM Business_Attributes WHERE attribute_value > 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 are opened the same number of hours every day of the week?
SELECT COUNT(business_id) FROM Business_Hours WHERE opening_time = '8AM' AND closing_time = '6PM'
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 of businesses that are still open received an uber rating on the funny vote?
SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T2.review_votes_funny = 'Uber' AND T1.active = '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 of the users who use a high number of compliments do not have any fans?
SELECT COUNT(T2.user_id) FROM Users_Compliments AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.number_of_compliments = 'High' AND T2.user_fans = '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)
What is the most common type of compliments that a user has received from other users?
SELECT T2.compliment_type FROM Users_Compliments AS T1 INNER JOIN Compliments AS T2 ON T1.compliment_id = T2.compliment_id GROUP BY T2.compliment_type ORDER BY COUNT(T2.compliment_type) 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 does each of the 3 top users with the most likes in their reviews have?
SELECT T2.user_average_stars FROM Tips AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id GROUP BY T2.user_id ORDER BY SUM(T1.likes) DESC 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)
In which categories does the only business located in the city of Arcadia appear?
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.city = 'Arcadia'
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 by their id all businesses that are open on Sunday.
SELECT T1.business_id FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T1.day_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 with music_karaoke attribute are closed?
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 = 'music_karaoke' AND T3.active = 'false' AND T2.attribute_value IN ('none', 'no', 'false')
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 open businesses in the City of Phoenix have users left a long review?
SELECT COUNT(DISTINCT T2.business_id) FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.review_length = 'Long' AND T2.active = 'true' AND T2.city = 'Phoenix'
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 who have received a low cool vote have also received at least 1 low cool vote for some of their reviews?
SELECT COUNT(DISTINCT T1.user_id) FROM Users AS T1 INNER JOIN Reviews AS T2 ON T1.user_id = T2.user_id WHERE T1.user_votes_cool = 'Low' AND T2.review_votes_cool = '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)
How many users with a long tip and 2 likes for their tip have a high number of fans?
SELECT COUNT(DISTINCT T1.user_id) FROM Users AS T1 INNER JOIN Tips AS T2 ON T1.user_id = T2.user_id WHERE T2.tip_length = 'Long' AND T2.likes = 2 AND T1.user_fans = '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)
In how many businesses with the ambience_trendy attribute?
SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name = 'ambience_trendy' AND T2.attribute_value IN ('none', 'no', 'false')
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 city of Scottsdale open on Sunday at 12PM?
SELECT COUNT(DISTINCT T2.business_id) 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 = 'Scottsdale' AND T3.day_of_week = 'Sunday' AND T2.opening_time = '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)
What is the average number of stars for businesses in the Obstetricians & Gynecologists category?
SELECT CAST(SUM(T1.stars) AS REAL) / COUNT(T1.business_id) 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 WHERE T3.category_name = 'Obstetricians & Gynecologists'
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 percentage of users with a high number of fans who were elite in 2011.
SELECT CAST(SUM(CASE WHEN T3.user_fans = 'High' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.user_fans) FROM Years AS T1 INNER JOIN Elite AS T2 ON T1.year_id = T2.year_id INNER JOIN Users AS T3 ON T2.user_id = T3.user_id WHERE T1.actual_year = 2011
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 in Surprise?
SELECT COUNT(business_id) FROM Business WHERE city = 'Surprise'
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 high review count in Tempe.
SELECT business_id FROM Business WHERE review_count = 'High' AND city = 'Tempe'
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 medium review count?
SELECT COUNT(business_id) FROM Business WHERE review_count = 'Medium' AND state = 'AZ' AND active = '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 5, located at Chandler.
SELECT business_id FROM Business WHERE stars >= 3 AND stars < 6 AND 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 users yelping since 2009 to 2011, how many of them have low count of fans?
SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year >= 2009 AND user_yelping_since_year < 2012 AND user_fans = '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 11021 to business with business ID 3?
SELECT review_length FROM Reviews WHERE user_id = 11021 AND business_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)
Among the businesses in Tempe, list the attribute of the business with a medium review count.
SELECT DISTINCT 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.city = 'Tempe' AND T1.review_count = 'Medium'
bird