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-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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);
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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');
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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');
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ 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';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- List out the state of businesses which have opening time at 1AM.
SELECT DISTINCT T1.state FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T2.opening_time = '1AM';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- List out the category name of business id 5.
SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id WHERE T2.business_id = 5;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- List out the user id that has compliment type of photos.
SELECT T2.user_id FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.compliment_type = 'photos';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Calculate the percentage of medium tip length in the list. List out the time when users of medium tip length join Yelp.
SELECT CAST(SUM(CASE WHEN T1.tip_length = 'Medium' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.tip_length), T2.user_yelping_since_year FROM Tips AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Calculate the percentage of businesses who located in Mesa. What is attribute value of these businesses.
SELECT CAST(COUNT(T1.city) AS REAL) * 100 / ( SELECT COUNT(business_id) FROM Business ), T2.attribute_value FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Mesa';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- State the state of businesses which have closing time at 12AM.
SELECT DISTINCT T1.state FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T2.closing_time = '12AM';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Among the businesses which have attribute of beer_and_wine, how many business located in Peoria?
SELECT COUNT(T1.business_id) FROM Business_Attributes AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T2.city = 'Peoria' AND T1.attribute_value = 'beer_and_wine';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Among the users who received high compliments from other users, which users joined Yelp earliest?
SELECT T2.user_id FROM Users AS T1 INNER JOIN Users_Compliments AS T2 ON T1.user_id = T2.user_id WHERE T2.number_of_compliments = 'High' AND T1.user_yelping_since_year = ( SELECT MIN(user_yelping_since_year) FROM Users );
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Which business ID has the most reviews?
SELECT business_id FROM Reviews GROUP BY business_id ORDER BY COUNT(user_id) DESC LIMIT 1;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Which year has the most elite users?
SELECT year_id FROM Elite GROUP BY year_id ORDER BY COUNT(user_id) DESC LIMIT 1;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- How many 5 star businesses have uber review votes for funny?
SELECT COUNT(business_id) FROM Reviews WHERE review_stars = 5 AND review_votes_funny = 'Uber';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- How many users have uber review votes for funny from the fans?
SELECT COUNT(DISTINCT user_id) FROM Reviews WHERE review_votes_funny = 'Uber';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Which business ID have the shortest business operating hours?
SELECT business_id FROM Business_Hours ORDER BY closing_time - opening_time LIMIT 1;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Find out which business ID are opened all the time.
SELECT DISTINCT business_id FROM Business_Hours WHERE day_id >= 1 AND day_id < 8 AND opening_time = closing_time;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Does the length of the tip influence the number of likes for hotel and travel business category?
SELECT T3.tip_length, SUM(T3.likes) AS likes FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Tips AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name = 'Hotels & Travel' GROUP BY T3.tip_length;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- How many users manage to get uber votes for all of the review category? Find out what are the user average star.
SELECT COUNT(T2.user_id) AS USER_IDS, T2.user_average_stars FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.review_votes_funny = 'Uber' AND T1.review_votes_useful = 'Uber' AND T1.review_votes_cool = 'Uber';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- What is the ratio of good to bad business star for a businesses that are opened all the time?
SELECT CAST(SUM(CASE WHEN T1.stars BETWEEN 3.5 AND 5 THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.stars BETWEEN 1 AND 2.5 THEN 1 ELSE 0 END) AS ratio FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- List out 10 business ID that are being reviewed the most by users and list out what are top 3 business categories.
SELECT T2.business_id, T3.category_name FROM Reviews AS T1 INNER JOIN Business_categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id GROUP BY T2.business_id ORDER BY COUNT(T1.user_id) DESC LIMIT 10;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- How many businesses in Arizona having an average review less than 3 stars?
SELECT COUNT(business_id) FROM Business WHERE business_id IN ( SELECT DISTINCT T1.business_id FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id WHERE T1.state = 'AZ' GROUP BY T1.business_id HAVING SUM(T2.review_stars) / COUNT(T2.user_id) < 3 );
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- What is the percentage of user not becoming an elite user?
SELECT CAST((( SELECT COUNT(user_id) FROM Users ) - ( SELECT COUNT(DISTINCT user_id) FROM Elite )) AS REAL) * 100 / ( SELECT COUNT(user_id) FROM Users );
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- What are the most common compliments types received by user with uber number of fans?
SELECT DISTINCT T3.compliment_type FROM Users AS T1 INNER JOIN Users_Compliments AS T2 ON T1.user_id = T2.user_id INNER JOIN Compliments AS T3 ON T2.compliment_id = T3.compliment_id WHERE T1.user_fans = 'Uber';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- What is the average year needed by a user with uber fans to become an elite user?
SELECT CAST(SUM(T2.year_id - T1.user_yelping_since_year) AS REAL) / COUNT(T1.user_id) FROM Users AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id WHERE T1.user_fans = 'Uber';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- What is the average year for a user to be upgraded to elite user?
SELECT CAST(SUM(T2.year_id - T1.user_yelping_since_year) AS REAL) / COUNT(T1.user_id) FROM Users AS T1 INNER JOIN Elite AS T2 ON T1.user_id = T2.user_id;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- How many business are opened for more than 8 hour in Mesa and what is the percentage of the active businesses?
SELECT CAST(SUM(CASE WHEN T1.active = 'true' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.business_id) AS ACT FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Mesa';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- How many active businesses are opened during late afternoon in the Phoenix city? List out the top 3 categories name for these businesses.
SELECT DISTINCT T4.category_name FROM Business_Hours AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T2.active = 'true' AND T2.city = 'Phoenix' AND T1.opening_time >= '5PM' LIMIT 3;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Which user has done the most review on a business attributed to delivery?
SELECT T3.user_id FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Reviews AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name = 'Delivery' GROUP BY T3.user_id ORDER BY COUNT(T2.business_id) DESC LIMIT 1;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- What is the average number of reviews written for active businesses that operate not more than 30 hours a week?
SELECT AVG(T3.user_id) FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Reviews AS T3 ON T1.business_id = T3.business_id WHERE T1.active = 'true' GROUP BY T2.closing_time - T2.opening_time HAVING SUM(T2.closing_time - T2.opening_time) < 30;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- How many business ids have opening hours from 8AM to 6PM?
SELECT DISTINCT business_id FROM Business_Hours WHERE opening_time = '8AM' AND closing_time = '6PM';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Provide business ids with opening hours 10AM on Saturday.
SELECT DISTINCT business_id FROM Business_Hours WHERE day_id = 6 AND opening_time = '10AM';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Indicate the business id and days which are opened from 8AM to 6PM.
SELECT DISTINCT day_id FROM Business_Hours WHERE opening_time = '8AM' AND closing_time = '6PM';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- How many businesses id are rated more than 4?
SELECT COUNT(business_id) FROM Business WHERE stars > 4;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- What are the categories of businesses that have opening time on Sunday?
SELECT DISTINCT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T2.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id WHERE T4.day_of_week = 'Sunday' AND T3.opening_time <> '';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Please indicate the opening day of businesses whose category is pets.
SELECT DISTINCT T4.day_of_week FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T1.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id WHERE T2.category_name = 'Pets';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Please indicate the closing hours and business days of the businesses with the category named Doctors.
SELECT DISTINCT T3.opening_time, T3.day_id FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T1.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id WHERE T2.category_name = 'Doctors';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Among the working days from Monday to Saturday, which businesses with the category names work the most days?
SELECT T2.category_name FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T1.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id GROUP BY T2.category_name ORDER BY COUNT(T3.day_id) DESC LIMIT 1;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Please indicate the business id have the closing time with the category of Arts & Entertainment on Sunday.
SELECT T1.business_id, T3.closing_time FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T1.business_id = T3.business_id INNER JOIN Days AS T4 ON T3.day_id = T4.day_id WHERE T2.category_name = 'Arts & Entertainment' AND T4.day_of_week = 'Sunday';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- In businesses with a category of "DJs", how many businesses are rated less than 5?
SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'DJs' AND T1.stars < 5;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- List active business ids with opening times of 7AM and closing times of 8PM.
SELECT DISTINCT T4.business_id FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business_Hours AS T3 ON T2.business_id = T3.business_id INNER JOIN Business AS T4 ON T3.business_id = T4.business_id WHERE T4.active = 'true' AND T3.opening_time = '7AM' AND T3.closing_time = '8PM';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- How many businesses with the category named Stadiums & Arenas are rated highest?
SELECT COUNT(T1.business_id) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T2.category_name = 'Stadiums & Arenas' AND T3.stars = ( SELECT MAX(stars) FROM Business );
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- How many category id have low review count and rating more than 2?
SELECT COUNT(DISTINCT T1.category_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T3.review_count = 'Low' AND T3.stars > 2;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Which businesses with the category name Accessories have opening hours before 7AM?
SELECT T1.business_id FROM Business_Hours AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'Accessories' AND SUBSTR(T1.opening_time, -4, 2) * 1 < 7 AND T1.opening_time LIKE '%AM';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Among the active businesses in Arizona, how many businesses work after 12PM?
SELECT COUNT(DISTINCT T2.business_id) FROM Business_Hours AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Business_Categories AS T3 ON T2.business_id = T3.business_id INNER JOIN Categories AS T4 ON T3.category_id = T4.category_id WHERE T2.active = 'true' AND T2.state = 'AZ' AND T1.opening_time > '12PM';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Please provide the name of businesses with user id "16328".
SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Tips AS T3 ON T2.business_id = T3.business_id WHERE T3.user_id = 16328;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- How many businesses have the category named food? List those businesses and find the percentage of businesses with less than 2 stars.
SELECT T3.business_id, CAST((( SELECT COUNT(business_id) FROM Business WHERE stars < 2 ) - ( SELECT COUNT(business_id) FROM Business WHERE stars > 2 )) AS REAL) * 100 / ( SELECT COUNT(stars) FROM Business ) FROM Business_Categories AS T1 INNER JOIN Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T1.business_id = T3.business_id WHERE T2.category_name = 'Food';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Calculate the percentage of businesses with the category name food that are open from 7AM to 8PM in the businesses with the same time.
SELECT CAST(SUM(CASE WHEN T3.category_name = 'Food' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.category_name) FROM Business_Categories AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T1.category_id = T3.category_id;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Write down the number of running business with each review count in Cave Creek city.
SELECT SUM(CASE WHEN review_count = 'High' THEN 1 ELSE 0 END) AS high , SUM(CASE WHEN review_count = 'Medium' THEN 1 ELSE 0 END) AS Medium , SUM(CASE WHEN review_count = 'Low' THEN 1 ELSE 0 END) AS low FROM Business WHERE city = 'Cave Creek' AND active = 'true';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Calculate the yearly average user who started using Yelp from the year of 2005 to 2014.
SELECT AVG(user_id) FROM Users WHERE user_yelping_since_year >= 2005 AND user_yelping_since_year <= 2015;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- What is the active and inactive ratio of the business with the review count of low.
SELECT CAST(SUM(CASE WHEN active = 'true' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN active = 'false' THEN 1 ELSE 0 END) AS radio FROM Business WHERE review_count = 'Low';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- List any five of user ID who became elite user in 2006.
SELECT user_id FROM Elite WHERE year_id = 2006 LIMIT 5;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Write down the any five of ID and name of category that starts with alphabet "P".
SELECT category_id, category_name FROM Categories WHERE category_name LIKE 'P%' LIMIT 5;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Provide the list of user ID along with review star of which has the review length of medium with business ID of 35.
SELECT user_id, review_stars FROM Reviews WHERE business_id = 15 AND review_length = 'Medium';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- List down the business ID and attribute value of the attribute name of "payment_types_visa".
SELECT T2.business_id, T2.attribute_value FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name = 'payment_types_visa';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Describe ID and active status of the business under category of "Diagnostic Imaging".
SELECT T2.business_id, T3.active FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.category_name = 'Diagnostic Imaging';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Mention the user ID and their year of joining Yelp who had great experience on business ID 143.
SELECT T2.user_id, T2.user_yelping_since_year FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.business_id = 143 AND T1.review_stars = 5;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Among the user ID with number in compliment of uber on profile, list any 5 user ID and the year when they join Yelp.
SELECT T3.user_id, T3.user_yelping_since_year FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id INNER JOIN Users AS T3 ON T2.user_id = T3.user_id WHERE T1.compliment_type = 'profile' AND T2.number_of_compliments = 'Uber' LIMIT 5;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- List the user ID, business ID with review length of the business which received the most likes in tips.
SELECT T1.user_id, T1.business_id, T2.review_length FROM Tips AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id ORDER BY T1.likes DESC LIMIT 1;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Among the elite users of 10 consecutive year from 2005 to 2014, list down the user ID and their number of compliment on photos.
SELECT T2.user_id, T2.number_of_compliments FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id INNER JOIN Elite AS T3 ON T2.user_id = T3.user_id WHERE T3.year_id BETWEEN 2005 AND 2014 AND T1.compliment_type = 'photos';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Calculate the percentage of business which opened on Sunday from 9AM to 9PM based on the number of business opened on Sunday.
SELECT CAST(SUM(CASE WHEN T2.opening_time = '9AM' AND T2.closing_time = '9PM' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.day_id) FROM Days AS T1 INNER JOIN Business_Hours AS T2 ON T1.day_id = T2.day_id WHERE T1.day_of_week = 'Sunday';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Write down the ID and opening day of a week for the business which are running in Black Canyon City.
SELECT T2.business_id, T3.day_of_week FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city = 'Black Canyon City' AND T1.active = 'true';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Within the user who joined Yelp in 2004, explore the user ID with average star of 5 and it's review length on the business.
SELECT T2.user_id, T2.review_length FROM Users AS T1 INNER JOIN Reviews AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = 2004 AND T1.user_average_stars = 5;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Which business ID received the review of 4 star and above by 65% of user? Describe their active status and city.
SELECT DISTINCT T2.business_id, T2.city FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.review_stars >= 4 AND ( SELECT CAST(( SELECT COUNT(DISTINCT T1.user_id) FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.review_stars >= 4 ) AS REAL) * 100 / ( SELECT COUNT(user_id) FROM Users ) > 65 );
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Calculate the difference between running business in Glendale City and Mesa City.
SELECT SUM(CASE WHEN city = 'Glendale' THEN 1 ELSE 0 END) - SUM(CASE WHEN city = 'Mesa' THEN 1 ELSE 0 END) AS diff FROM Business WHERE active = 'true';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- How many likes did short comment left by users who joined in 2010 get?
SELECT SUM(T2.likes) FROM Users AS T1 INNER JOIN Tips AS T2 ON T1.user_id = T2.user_id WHERE T1.user_yelping_since_year = 2010;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- For users with average ratings of 3, what kind of tip length they mostly left?
SELECT T2.tip_length FROM Users AS T1 INNER JOIN Tips AS T2 ON T1.user_id = T2.user_id WHERE T1.user_average_stars = 3 GROUP BY T2.tip_length ORDER BY COUNT(T2.tip_length) DESC LIMIT 1;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Sum up the likes get by short reviews on businesses located in City Goodyear.
SELECT SUM(T2.likes) AS likes FROM Business AS T1 INNER JOIN Tips AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'Goodyear';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- For businesses with long length reviews, which state are they located?
SELECT DISTINCT T1.state FROM Business AS T1 INNER JOIN Tips AS T2 ON T1.business_id = T2.business_id WHERE T2.tip_length = 'Long';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- How much time do businesses in El Mirage City, AZ State operate in average daily?
SELECT SUM(T2.closing_time - T2.opening_time) FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.city = 'El Mirage' AND T1.state = 'AZ';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- List down the closing day of businesses located at SC State.
SELECT T3.day_id - T2.day_id FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.state = 'SC';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- List down the category of businesses whose stars ratings are 5.
SELECT DISTINCT T3.category_name FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T1.stars = 5;
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- What are the states of businesses with attribute of beer and wine located?
SELECT DISTINCT T2.state FROM Business_Attributes AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.attribute_value = 'beer_and_wine';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- How many user's compliment in photo has medium in number?
SELECT COUNT(T2.user_id) FROM Compliments AS T1 INNER JOIN Users_Compliments AS T2 ON T1.compliment_id = T2.compliment_id WHERE T1.compliment_type = 'photos' AND T2.number_of_compliments = 'Medium';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Among businesses with "Wi-Fi" attribute, which businesses id are located at SC State?
SELECT T3.business_id FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name = 'Wi-Fi' AND T2.attribute_value = 'true' AND T3.state = 'SC';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- Sum up the number of business with "ambience_romantic" attribute.
SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name = 'ambience_romantic' AND T2.attribute_value = 'true';
-- Database schema | Attributes : attribute_id [ INTEGER ] primary_key , attribute_name [ TEXT ] | Categories : category_id [ INTEGER ] primary_key , category_name [ TEXT ] | Compliments : compliment_id [ INTEGER ] primary_key , compliment_type [ TEXT ] | Days : day_id [ INTEGER ] primary_key , day_of_week [ TEXT ] | Years : year_id [ INTEGER ] primary_key , actual_year [ INTEGER ] | Business_Attributes : attribute_id [ INTEGER ] , business_id [ INTEGER ] , attribute_value [ TEXT ] | Business_Categories : business_id [ INTEGER ] , category_id [ INTEGER ] | Business_Hours : business_id [ INTEGER ] , day_id [ INTEGER ] , opening_time [ TEXT ] , closing_time [ TEXT ] | Checkins : business_id [ INTEGER ] , day_id [ INTEGER ] , label_time_0 [ TEXT ] , label_time_1 [ TEXT ] , label_time_2 [ TEXT ] , label_time_3 [ TEXT ] , label_time_4 [ TEXT ] , label_time_5 [ TEXT ] , label_time_6 [ TEXT ] , label_time_7 [ TEXT ] , label_time_8 [ TEXT ] , label_time_9 [ TEXT ] , label_time_10 [ TEXT ] , label_time_11 [ TEXT ] , label_time_12 [ TEXT ] , label_time_13 [ TEXT ] , label_time_14 [ TEXT ] , label_time_15 [ TEXT ] , label_time_16 [ TEXT ] , label_time_17 [ TEXT ] , label_time_18 [ TEXT ] , label_time_19 [ TEXT ] , label_time_20 [ TEXT ] , label_time_21 [ TEXT ] , label_time_22 [ TEXT ] , label_time_23 [ TEXT ] | Elite : user_id [ INTEGER ] , year_id [ INTEGER ] | Reviews : business_id [ INTEGER ] , user_id [ INTEGER ] , review_stars [ INTEGER ] , review_votes_funny [ TEXT ] , review_votes_useful [ TEXT ] , review_votes_cool [ TEXT ] , review_length [ TEXT ] | Tips : business_id [ INTEGER ] , user_id [ INTEGER ] , likes [ INTEGER ] , tip_length [ TEXT ] | Users_Compliments : compliment_id [ INTEGER ] , user_id [ INTEGER ] , number_of_compliments [ TEXT ] | Business : business_id [ INTEGER ] primary_key , active [ TEXT ] , city [ TEXT ] , state [ TEXT ] , stars [ REAL ] , review_count [ TEXT ] | Users : user_id [ INTEGER ] primary_key , user_yelping_since_year [ INTEGER ] , user_average_stars [ TEXT ] , user_votes_funny [ TEXT ] , user_votes_useful [ TEXT ] , user_votes_cool [ TEXT ] , user_review_count [ TEXT ] , user_fans [ TEXT ] | -- -- What is the percentage of businesses with "Good for Kids" attribute over the other attributes?
SELECT CAST(SUM(CASE WHEN attribute_name = 'Good for Kids' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_value = 'true';