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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)
Count the active businesses that has an attribute of Wi-Fi with medium review count.
SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T3.attribute_name LIKE 'Wi-Fi' AND T1.active LIKE 'TRUE' AND T1.review_count LIKE 'Medium'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What is the closing and opening time of businesses located at Gilbert with highest star rating?
SELECT T2.closing_time, T2.opening_time FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.city LIKE 'Gilbert' ORDER BY T1.stars DESC LIMIT 1
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Among the active businesses located at Mesa, AZ, list the category and attributes of business with a low review count.
SELECT T3.category_name FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T1.review_count = 'Low' AND T1.city = 'Mesa' AND T1.active = 'true' 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 the categories of inactive businesses in AZ.
SELECT T3.category_name FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.active LIKE 'FALSE' AND T1.state LIKE 'AZ'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Find the location of businesses that has business hours from 9 am to 9 pm every Saturday.
SELECT T1.city FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T2.closing_time LIKE '9PM' AND T2.opening_time LIKE '9AM' AND T3.day_of_week LIKE 'Saturday' GROUP BY T1.city
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What is the attribute value of an inactive business with a medium review count and 3.5 stars which is located at Phoenix, AZ?
SELECT T2.attribute_value FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.state LIKE 'AZ' AND T1.review_count LIKE 'Medium' AND T1.active LIKE 'FALSE' AND T1.city LIKE 'Phoenix' AND T1.stars = 3.5
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 is the opening time of the active businesses in Surprise that has a low review count.
SELECT T2.opening_time FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city LIKE 'Surprise' AND T1.active LIKE 'TRUE' AND T1.review_count LIKE 'Low' GROUP BY T2.opening_time
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Among the businesses with a category of Local Services, what is the percentage of the business with less than 3 stars?
SELECT CAST(SUM(CASE WHEN T1.stars < 3 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.stars) AS "percentage" FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T3.category_name LIKE 'Local Services'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
List the closing time and day of week of active businesses in Scottsdale with stars greater than the 60% of average age of star rating.
SELECT T2.closing_time, T3.day_of_week FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city LIKE 'Scottsdale' AND T1.active LIKE 'TRUE' AND T1.stars > 0.6 * ( SELECT AVG(T1.stars) FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city LIKE 'Scottsdale' AND T1.active LIKE 'TRUE' )
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many users have no followers in 2014?
SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year = 2004 AND user_fans LIKE 'None'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
List at least 5 users that has received less than 5 low compliments from other users.
SELECT user_id FROM Users_Compliments WHERE number_of_compliments LIKE 'Low' GROUP BY user_id ORDER BY COUNT(number_of_compliments) > 5 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 at least 10 users ID that has 4 as an average ratings of all reviews sent.
SELECT COUNT(user_id) FROM Users WHERE user_average_stars = 4 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)
What city does the business have a business hour from 10 am to 12 pm on Sunday?
SELECT T1.city FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T2.opening_time LIKE '10AM' AND T2.closing_time LIKE '12PM' AND T3.day_of_week LIKE '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)
How many businesses are opened for 24 hours?
SELECT 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 LIKE 'TRUE' AND T1.attribute_name LIKE 'Open 24 Hours'
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 at least 5 active business ID that are good for groups and dancing.
SELECT 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 T2.attribute_value LIKE 'TRUE' AND T1.attribute_name LIKE 'Good for Dancing' AND T1.attribute_name LIKE 'Good for Groups' 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)
Among the active businesses in Ahwatukee, which of them are still open in Sunday?
SELECT T1.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 LIKE 'Ahwatukee' AND T1.active LIKE 'TRUE' AND T3.day_of_week LIKE '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)
List the categories of all active businesses that were not in Arizona.
SELECT T3.category_name FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.active LIKE 'TRUE' AND T1.state NOT LIKE 'AZ'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
List the category of the business with high review count but received 2 stars.
SELECT T3.category_name FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.stars = 2 AND T1.review_count LIKE 'High'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many businesses have a romantic ambiance?
SELECT 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' AND T1.attribute_name = 'ambience_romantic'
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 city of the business where they open from 1 pm to 6 pm on Saturday.
SELECT T1.city FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T2.closing_time LIKE '6PM' AND T2.opening_time LIKE '1PM' AND T3.day_of_week LIKE 'Saturday'
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 fans or followers who received most likes of their comments in the business?
SELECT COUNT(T1.user_fans) FROM Users AS T1 INNER JOIN Tips AS T2 ON T1.user_id = T2.user_id ORDER BY COUNT(T2.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)
What city does the business came from where they received a high volume of check-ins from 12 am to 1 am on Saturday.
SELECT T1.city FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T2.closing_time = '1AM' AND T2.opening_time = '12AM' AND T3.day_of_week = 'Saturday'
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 shopping centers and received high review count?
SELECT COUNT(T2.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name = 'Shopping Centers' AND T3.review_count = 'High'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many businesses accept insurance?
SELECT COUNT(T1.business_id) FROM Business_Attributes AS T1 INNER JOIN Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_name = 'Accepts Insurance' AND T1.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)
Calculate the average review star from users in businesses located in South Carolina and California state.
SELECT 1.0 * (( SELECT SUM(T1.stars) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.state = 'SC' ) + ( SELECT SUM(T1.stars) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.state = 'CA' )) / ( SELECT SUM(T1.stars) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id ) AS reslut
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)
Compare and get the difference of the number of businesses that are open in Monday and Tuesday from 10 am to 9 pm.
SELECT SUM(CASE WHEN T3.day_of_week = 'Monday' THEN 1 ELSE 0 END) - SUM(CASE WHEN T3.day_of_week = 'Tuesday' THEN 1 ELSE 0 END) AS DIFF FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T2.opening_time = '10AM' AND T2.closing_time = '9PM'
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 ID number for the attribute named "Accepts Insurance"?
SELECT attribute_id FROM Attributes WHERE attribute_name = 'Accepts Insurance'
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 actively running Yelp businesses are there located in "Phoenix" city?
SELECT COUNT(business_id) FROM Business WHERE active = 'true' AND 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)
Give the number of "4" stars Yelp businesses in "Mesa" city.
SELECT COUNT(business_id) FROM Business WHERE stars = 4 AND 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)
Provide the number of Yelp businesses in "Gilbert" which got a" high" review count.
SELECT COUNT(business_id) FROM Business WHERE review_count = 'High' AND city = 'Gilbert'
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 actively running Yelp business in "Gilbert" has got the most reviews? Give the business id.
SELECT DISTINCT T1.business_id FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.active = 'true' AND T1.city = 'Gilbert' AND T1.review_count = '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)
For the Yelp business in "Tempe" city which got "3.5" stars and review count as "Uber", how many "long" reviews did it get?
SELECT COUNT(T2.review_length) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Tempe' AND T1.stars = '3.5' AND T1.review_count = 'Uber' AND T2.review_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 is the "noise level" for the only Yelp business in “Mesa” which got a "Uber" review count?
SELECT T3.attribute_name FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.city = 'Mesa' AND T1.review_count = 'Uber' AND T3.attribute_name = 'Noise Level'
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)
Is the Yelp business No. 14033 good for supper?
SELECT T1.attribute_value FROM Business_Attributes AS T1 INNER JOIN Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_name = 'good_for_dinner' AND T1.business_id = 14033
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How long is the Yelp business No. 15098 opened on Monday?
SELECT SUBSTR(T1.closing_time, 1, 2) + 12 - SUBSTR(T1.opening_time, 1, 2) AS YYSJ FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T2.day_of_week = 'Monday' AND T1.business_id = 15098
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 the Yelp businesses which received a "5" star review with "uber" number of votes for funny, which one is located in "Phoenix"? Give the business ID.
SELECT T1.business_id FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Phoenix' AND T2.review_stars = 5 AND T2.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 city is the business that got a "medium" length tip with "3" likes located in?
SELECT T1.city FROM Business AS T1 INNER JOIN Tips AS T2 ON T1.business_id = T2.business_id WHERE T2.tip_length = 'Medium' AND T2.likes = 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)
For the user who joined Yelp in "2010", with an average of "4.5" stars review and has got uber number of fans, how many "funny" compliments has he/she received from other users?
SELECT COUNT(T2.user_id) 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_yelping_since_year = 2010 AND T1.user_average_stars = 4.5 AND T1.user_fans = 'Uber' AND T3.compliment_type = 'funny'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many "cool" type compliments does user No. 41717 get?
SELECT COUNT(T2.number_of_compliments) FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.compliment_type = 'cool' AND T2.user_id = 41717
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 Yelp business No."11825" have a "parking lot"?
SELECT T1.attribute_value FROM Business_Attributes AS T1 INNER JOIN Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.business_id = 11825 AND T2.attribute_name = 'parking_lot'
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)
Is the payment in mastercard possible for the Yelp business No."12476"?
SELECT T1.attribute_value FROM Business_Attributes AS T1 INNER JOIN Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.business_id = 12476 AND T2.attribute_name = 'payment_types_mastercard'
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 for the Yelp businesses in "Pets" category of all businesses?
SELECT CAST(SUM(CASE WHEN T2.category_name = 'Pets' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.category_name) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.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)
How many times is the number of "Women's Clothing" Yelp businesses to "Men's Clothing"?
SELECT CAST(SUM(CASE WHEN T2.category_name = 'Women''s Clothing' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.category_name = 'Men''s Clothing' THEN 1 ELSE 0 END) AS TIMES FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.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 ID, active status and city of the business which are in CA state.
SELECT business_id, active, city FROM Business WHERE state = 'CA' 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 percentage of running business among all business.
SELECT CAST(SUM(CASE WHEN active = 'true' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(business_id) 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)
Among all attribute names, list down the ID and attribute name which start with "music".
SELECT attribute_id, attribute_name FROM Attributes WHERE attribute_name LIKE 'music%'
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)
Between 2006 and 2007, which year ID had the greater number in elite user?
SELECT year_id FROM Elite WHERE year_id IN (2006, 2007) 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)
Based on all user compliments, find the percentage of low number of compliments on all compliments ID.
SELECT CAST(SUM(CASE WHEN number_of_compliments = 'Low' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(user_id) FROM Users_compliments
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 user ID who got uber for cool votes.
SELECT business_id, user_id FROM Reviews WHERE 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)
Write the user ID, business ID and tips length of who started using Yelp since 2004 and had high followers.
SELECT T1.user_id, T2.business_id, T2.tip_length FROM Users AS T1 INNER JOIN Tips AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = 2004 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)
Among the review votes of funny and cool hit uber with long review length, describe the business ID, active status, user ID and user year of joining Yelp.
SELECT T1.business_id, T1.active, T3.user_id, T3.user_yelping_since_year FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id INNER JOIN Users AS T3 ON T2.user_id = T3.user_id WHERE T2.review_votes_cool = 'Uber' AND T2.review_votes_funny = 'Uber' AND T2.review_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)
Under the attribute name of "music_playlist", describe the attribute ID, business ID, city and inactive status.
SELECT T1.attribute_id, T2.business_id, T3.city 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_playlist' AND T3.active = '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)
Calculate the percentage of business with attribute name of "Accepts Credit Cards".
SELECT CAST(SUM(CASE WHEN T1.attribute_name = 'Accepts Credit Cards' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.attribute_name) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_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)
Among the stopped businesses in San Tan Valley city, list down the user ID and review length of who had great experience.
SELECT T2.user_id, T2.review_length FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'San Tan Valley' AND T1.active = 'false' AND T2.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)
Mention the user average star, elite year and the compliment type of user ID 6027 whereby number of compliments reach uber.
SELECT T2.user_average_stars, T1.year_id, T4.compliment_type, T3.number_of_compliments FROM Elite AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id INNER JOIN Users_Compliments AS T3 ON T2.user_id = T3.user_id INNER JOIN Compliments AS T4 ON T3.compliment_id = T4.compliment_id INNER JOIN Years AS T5 ON T1.year_id = T5.year_id WHERE T3.number_of_compliments = 'Uber' AND T3.user_id = 6027
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Under the category name of "Coffee & Tea", mention any 5 business ID , their state and city.
SELECT T2.business_id, T3.state, T3.city 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 = 'Coffee & Tea' 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)
Describe category name which had above 10% in comparing with all business and categories.
SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id GROUP BY T2.category_id HAVING COUNT(T2.business_id) > ( SELECT COUNT(T3.business_id) FROM Business_Categories AS T3 ) * 0.1
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)
For the business with great experience existed in Sun Lakes city, provide the user ID who gave review on it and user followers.
SELECT T3.user_id, T3.user_fans FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id INNER JOIN Users AS T3 ON T2.user_id = T3.user_id WHERE T1.city = 'Sun Lakes' 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)
Compare the number of business between the category of "Men's Clothing" and "Women's Clothing".
SELECT SUM(CASE WHEN T1.category_name = 'Men''s Clothing' THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.category_name = 'Women''s Clothing' THEN 1 ELSE 0 END) AS diff FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.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)
Among highest quality user of under ID 100, mention compliment type which got highest compliment number and user's followers.
SELECT T1.compliment_type, T3.user_fans 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 T2.number_of_compliments = 'Uber' AND T2.user_id < 100
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 all the businesses that closed at 8PM.
SELECT DISTINCT business_id FROM Business_Hours WHERE 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 2 stars rated business located in Phoenix, Arizona?
SELECT COUNT(business_id) FROM Business WHERE city = 'Phoenix' AND state = 'AZ' AND 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)
How many businesses in Tempe are rated as 'Wonderful experience?
SELECT COUNT(business_id) FROM Business WHERE city = 'Phoenix' AND stars > 3
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
List all the users with average star less than 3 stars in 2012
SELECT user_id FROM Users WHERE user_yelping_since_year = 2012 AND user_average_stars < 3
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Find the percentage of 5 stars rated business.
SELECT CAST(SUM(CASE WHEN stars = 5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(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)
Calculate difference between business that have the highest number of reviews and business that have the lowest number of reviews.
SELECT ( SELECT COUNT(business_id) FROM Reviews GROUP BY business_id ORDER BY COUNT(business_id) DESC LIMIT 1 ) - ( SELECT COUNT(business_id) FROM Reviews GROUP BY business_id ORDER BY COUNT(business_id) ASC LIMIT 1 ) AS DIFF
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 all the tires businesses that are opened everyday.
SELECT DISTINCT T2.business_id FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Hours AS T4 ON T3.business_id = T4.business_id WHERE T1.category_name = 'Tires' GROUP BY T2.business_id HAVING COUNT(day_id) = 7
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 users become an elite in 2012?
SELECT DISTINCT T1.user_id FROM Elite AS T1 INNER JOIN Years AS T2 ON T1.year_id = T2.year_id WHERE T2.actual_year = 2012
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
List the business ID of shopping business that have 4 stars ratings.
SELECT 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 = 'Shopping' AND T1.stars = 4
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many business have low check-in on Sunday at 10AM?
SELECT COUNT(T2.business_id) FROM Days AS T1 INNER JOIN Checkins AS T2 ON T1.day_id = T2.day_id WHERE T1.day_of_week = 'Sunday' AND T2.label_time_10 = '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 in Glendale are reviewed by user with the ID of 20241?
SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Glendale' AND T2.user_id = 20241
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 locations of all Pet Services business.
SELECT T1.city 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 = 'Pet Services'
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 photos type compliment given from users with high cool votes?
SELECT COUNT(T1.user_id) 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 INNER JOIN Reviews AS T4 ON T1.user_id = T4.user_id WHERE T3.compliment_type = 'photos' AND T4.review_votes_cool = 'High'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many closed businesses that have more than 10 attributes?
SELECT COUNT(*) FROM Business WHERE business_id IN ( SELECT T1.business_id FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id WHERE T1.active = 'false' GROUP BY T1.business_id HAVING COUNT(DISTINCT T2.attribute_id) > 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)
List the business located in Mesa that have alcohol attribute.
SELECT T1.business_id FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T1.city = 'Mesa' AND T3.attribute_name = 'Alcohol'
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)
Based on business in Phoenix, calculate the percentage of business with low funny votes.
SELECT CAST(SUM(CASE WHEN T2.review_votes_funny = 'Low' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.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)
What is the ratio between business in shopping category and business in pets category?
SELECT CAST(SUM(CASE WHEN T2.category_name = 'Shopping' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.category_name = 'Pets' THEN 1 ELSE 0 END) AS radio FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.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)
How many businesses are registered in the database under 'Banks & Credit Unions' category?
SELECT COUNT(T2.business_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id WHERE T1.category_name = 'Banks & Credit Unions'
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 from Casa Grande are registered in the database?
SELECT COUNT(business_id) FROM Business WHERE active = 'true' AND city = 'Casa Grande'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
What time does the business with ID no.12 open on Monday?
SELECT T1.opening_time FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T1.business_id = 12 AND T2.day_of_week = 'Monday'
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 that are registered in the database can be attributed to 'Good for Kids'?
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 = 'Good for Kids' 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)
Identify the most popular and appealing active business in Gilbert based on users' reviews.
SELECT business_id FROM Business WHERE city = 'Gilbert' AND active = 'true' AND review_count = 'High' ORDER BY stars DESC LIMIT 1
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Find the 5-star business in Ahwatukee, AZ and identify it's business category.
SELECT T1.business_id, 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.city = 'Ahwatukee' 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)
Among all closed businesses in Avondale, AZ what percent have obtained a 'wonderful experience' rating of the business.
SELECT CAST(SUM(CASE WHEN stars > 3 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(stars) FROM Business WHERE city = 'Avondale' AND active = '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)
Identify the user who has been yelping since 2004. Is he or she an Yelp Elite member?
SELECT DISTINCT T2.user_id FROM Users AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = 2004
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)
Identify the percent of long reviews among all 5-star reviews given to businesses by the Yelp users.
SELECT CAST(SUM(CASE WHEN review_length = 'Long' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(review_length) FROM Reviews WHERE 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 all the users with the average ratings of at least 4 and above of all reviews, calculate the percent that have no fans or followers.
SELECT CAST(SUM(CASE WHEN user_fans = 'None' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(user_id) FROM Users WHERE user_average_stars >= 4
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
How many short tips were left for the business with ID no.2?
SELECT COUNT(business_id) FROM Tips WHERE business_id = 2 AND tip_length = 'Short'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Find the Yelp user with the average 5-star rating of all reviews who has been yelping the longest.
SELECT user_id FROM Users WHERE user_average_stars = 5 ORDER BY user_yelping_since_year ASC 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)
Identify the operating hours of businesses in Black Canyon City with review count greater than average.
SELECT T2.opening_time, T2.closing_time FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city = 'Black Canyon City' GROUP BY t2.business_id HAVING T1.review_count > AVG(T1.review_count)
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 all the users who received the high number of compliments, what percent received the 'cute' type of compliment.
SELECT CAST(SUM(CASE WHEN T1.compliment_type = 'cute' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.user_id) FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T2.number_of_compliments = '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)
Mention the number of businesses that have no any attribute.
SELECT COUNT(business_id) FROM Business_Attributes WHERE 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)
What are the opening and closing time of business id 1 for day id 2?
SELECT opening_time, closing_time FROM Business_Hours WHERE business_id = 1 AND day_id = 2
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
List out city name of businesses which have medium length of review.
SELECT DISTINCT T1.city FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T2.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)
What is the closing time of business id 4 on Sunday?
SELECT T2.closing_time FROM Days AS T1 INNER JOIN Business_Hours AS T2 ON T1.day_id = T2.day_id WHERE T1.day_of_week = 'Sunday' AND T2.business_id = 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)
Among the businesses which have short length of review, which one located in Phoenix?
SELECT DISTINCT T1.business_id FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Phoenix' AND T2.review_length = 'Short'
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 whose fan is medium, how many users received high compliments from other users.
SELECT COUNT(T1.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_fans = 'Medium'
bird
CREATE TABLE public_review_platform (attribute_id integer, attribute_name text, category_id integer, category_name text, compliment_id integer, compliment_type text, day_id integer, day_of_week text, year_id integer, actual_year integer, attribute_id integer, business_id integer, attribute_value text, business_id integer, category_id integer, business_id integer, day_id integer, opening_time text, closing_time text, business_id integer, day_id integer, label_time_0 text, label_time_1 text, label_time_2 text, label_time_3 text, label_time_4 text, label_time_5 text, label_time_6 text, label_time_7 text, label_time_8 text, label_time_9 text, label_time_10 text, label_time_11 text, label_time_12 text, label_time_13 text, label_time_14 text, label_time_15 text, label_time_16 text, label_time_17 text, label_time_18 text, label_time_19 text, label_time_20 text, label_time_21 text, label_time_22 text, label_time_23 text, user_id integer, year_id integer, business_id integer, user_id integer, review_stars integer, review_votes_funny text, review_votes_useful text, review_votes_cool text, review_length text, business_id integer, user_id integer, likes integer, tip_length text, compliment_id integer, user_id integer, number_of_compliments text, business_id integer, active text, city text, state text, stars real, review_count text, user_id integer, user_yelping_since_year integer, user_average_stars text, user_votes_funny text, user_votes_useful text, user_votes_cool text, user_review_count text, user_fans text)
Among the users who received low compliments from other users, which users joined Yelp in 2012?
SELECT DISTINCT T2.user_id FROM Users AS T1 INNER JOIN Users_Compliments AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = 2012 AND T2.number_of_compliments = '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)
Among the businesses without attribute, how many businesses located in Gilbert?
SELECT COUNT(T2.business_id) FROM Business_Attributes AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T2.city = 'Gilbert' AND T1.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)
Among the businesses with average rating, how many business has attribute of full_bar.
SELECT COUNT(T1.business_id) FROM Business_Attributes AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.attribute_value = 'full_bar'
bird