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Which player from "AFS" team has the tallest height?
"AFS" is the tmID; tallest height refers to Max(height)
team name refers to teams.name; won the title 'NBA Coach of the Year' refers to award = 'NBA Coach of the Year'; in 2010 refers to year = 2010
in 2000 refers to year = 2000; played the least minutes refers to min(minutes); without missing a single game refers to GP = 82; full name of the team refers to teams.name
2005 refers to year = 2005 ; previous year refers to year = 2004; team with greater winning than previous year refers to Won where year = 2005 > Won where year = 2004; team name refers to tmID
name of team refers to teams.name; between 1980 and 2000 refers to year between 1980 and 2000; ranked first five or more times refers to count(rank = 1) > = 5; lost a league two or more times refers to lost > 2
final round of post season refers to round = 'CSF'; won against LAL refers to tmIDLoser = 'LAL'; in the NBA league refers to lgID = 'NBA'; won more than 60 games refers to won > 60
greater than 75% lost refers to Divide(lost, games) > 0.75; team refers to tmID
from 1937 to 1940 refers to year between 1937 and 1940; player with highest point refers to Max(points)
full name of the team refers to teams.name; in 2001 refers to year = 2001; didn't make the playoffs refers to PostGP = 0; won the most games refers to max(won)
beat the Huston refers to tmIDLoser = 'HSM';  in final round of post season refers to round = 'DSF'
"BLB" is the tmID
Name the team in which the coach won the title 'NBA Coach of the Year' in 2010.
team name refers to teams.name; won the title 'NBA Coach of the Year' refers to award = 'NBA Coach of the Year'; in 2010 refers to year = 2010
coach refers to coachID; Oklahoma City Thunder refers to name = 'Oklahoma City Thunder'
player name refers to playerID; the youngest refers to max(birthDate); won "Rookie of the Year" refers to award = 'Rookie of the Year'
"Denver Nuggets" is the name of team; since 1980 refers to year > 1980; tallest player = Max(height)
NBA refers to lgID = 'NBA'; 'LAL' team refers to tmID = 'LAL'; performed steals movement refers to steals > 0; percent = divide(count(playerID where steals > 0), count(playerID)) where lgID = 'NBA' and tmID = 'LAL' * 100%
"AFS" is the tmID; tallest height refers to Max(height)
in 2000 refers to year = 2000; played the least minutes refers to min(minutes); without missing a single game refers to GP = 82; full name of the team refers to teams.name
played more than 3800 points refers to Sum(points) > = 3800
1970 to 1980 refers to year between 1970 and 1980; longest serving coach Max(Count(coachID)); team(s) he served refers to tmID
more than 2 different teams refers to count(tmID) > 2
full attendance refers to GP = 82; in 1995 refers to year = 1995; the most turnovers refers to max(turnovers); full name refers to first_name, last_name
Which team(s) has greater than 75% lost among all the games played.
greater than 75% lost refers to Divide(lost, games) > 0.75; team refers to tmID
year 1990-1995 refers to year between 1990 and 1995; 'adelmri01' is the coachID; offense point refers to o_fgm
full name refers to firstName, middleName, lastName; in the year 1997 refers to year = 1997; the most steals refers to max(steals)
full name refers to firstName, middleName, lastName; in 1973 refers to year = 1973; not born in USA refers to birthCountry <> 'USA'
team name refers to teams.name; won the title 'NBA Coach of the Year' refers to award = 'NBA Coach of the Year'; in 2010 refers to year = 2010
the scoring champion refers to max(won); 2001 refers to year = 2001; NBA refers to lgID = 'NBA'
champion refers to round = 'F'; team name refers to teams.name; from year 1950 to 1960 refers to year between 1950 and 1960
more than 50 games won refers to won > 50
full attendance refers to GP = 82; in 1995 refers to year = 1995; the most turnovers refers to max(turnovers); full name refers to first_name, last_name
in 2000 refers to year = 2000; played the least minutes refers to min(minutes); without missing a single game refers to GP = 82; full name of the team refers to teams.name
"ABA Coach of the Year" is the award; highest number of won games refers to Max(Count(won))
How many field goals did George Mikan make overall between 1951 and 1953?
between 1951 and 1953 refers to season_id; field goal refers to fg_made
more than 2 different teams refers to count(tmID) > 2
in 1969 refers to year = 1969; awarded "NBA Coach of the Year" refers to award = 'NBA Coach of the Year'; percentage = divide(count(coachID where year = 1969 and award = 'NBA Coach of the Year'), count(coachID)) * 100%
champion refers to round = 'F'; team name refers to teams.name; from year 1950 to 1960 refers to year between 1950 and 1960
full name refers to firstName, middleName, lastName; in the year 1997 refers to year = 1997; the most steals refers to max(steals)
drafted in the 1st round refers to draftRound = 1; 6th position refers to draftSelection = 6; in 1976 refers to year = 1976; team refers to tmID
No.1 draft pick refers to draftRound = 1; in the 2003 season refers to draftyear = 2003; increase = subtract(divide(sum(won), add(sum(won), sum(lost))) where draftyear = 2004, divide(sum(won), add(sum(won), sum(lost))) where draftyear = 2003)
"UCLA" is the college; team with most players refers to tmID where Max(Count(playerID))
team name refers to teams.name; won the title 'NBA Coach of the Year' refers to award = 'NBA Coach of the Year'; in 2010 refers to year = 2010
Wake Forest college refers to highSchool = 'Wake Forest college'; did the most offensive rebounds than defensive rebounds refers to max(subtract(sum(oRebounds), sum(dRebounds))); full name refers to first_name, middle_name, last_name
in 1937 refers to year = 1937; player got at least 500 points refers to Sum(points) > = 500
Find out which business ID are opened all the time.
opened all the time refers to Business_Hours where day_id BETWEEN 1 and 7 and opening_time = closing_time;
long tip refers to tip_length = 'Long'; 2 likes refers to likes = 2; high number of fans refers to user_fans = 'High'
medium tip length refers to tip_length = 'Medium'; percentage = divide(count(tips where tip_length = 'Medium'), count(tips))*100%; the time when users join Yelp refers to user_yelping_since_year
Sunday refers to day_of_week = 'Sunday' where day_id = 1; category of Arts & Entertainment refers to category_name = 'Arts & Entertainment';
in Arizona refers to state = 'AZ'; closes at 12PM refers to closing_time = '12PM'; on Sundays refers to day_of_week = 'Sunday'
rating refers to stars; inactive refers to active = 'False'; average rating of inactive businesses = DIVIDE(SUM(stars), COUNT(business_id));
Sunday refers to day_of_week = 'Sunday' where day_id = 1; opened from 9AM to 9PM refers to Business_Hours where opening_time = '9AM' and closing_time = '9PM'; DIVIDE(COUNT(opening_time = '9AM' and closing_time = '9PM' and day_of_week = 'Sunday'), COUNT(opening_time = NOT NULL and closing_time = NOT NULL and day_of_week = 'Sunday')) as percentage;
number of running business refers to COUNT(business_id) where active = 'true'; each review count includes review_count = 'High', review_count = 'Medium', review_count = 'Low';
AVG(user_yelping_since_year) where user_id from Elite;
Tempe is a city; high review count refers to review_count = 'High'
can be attributed to 'Good for Kids' refers to attribute_name = 'Good for Kids' and attribute_value = 'true'
Among the businesses in Chandler, list the attribute of the business with a low review count.
in Chandler refers to city = 'Chandler'; attribute refers to attribute_name
number of running business refers to COUNT(business_id) where active = 'true'; each review count includes review_count = 'High', review_count = 'Medium', review_count = 'Low';
users with a high number of fans refers to user_fans = 'High'; 2011 refers to actual_year = 2011; Calculation = DIVIDE(Elite.user_id where user_fans = 'High' AND actual_year = 2011, Elite.user_id where actual_year = 2011) * 100
type of compliments refers to compliment_type; user No. refers to user_id;
in Mesa refers to city = 'Mesa'; alcohol attribute refers to attribute_name = 'Alcohol'
more appealing to users refers to MAX(review_count);
joined yelp since 2004 refers to user_yelping_since_year = 2004;
opened all the time refers to Business_Hours where day_id BETWEEN 1 and 7 and opening_time = closing_time; ratio can be computed as DIVIDE(COUNT(stars BETWEEN 3.5 and 5), COUNT(stars BETWEEN 1 and 2.5));
9 am refers to opening_time = '9AM'; 9 pm refers to closing_time = '9PM'; every Saturday refers to day_of_week = 'Saturday'; location refers to city
AVG(user_yelping_since_year) where user_fans = 'uber';
user's compliment in photo refers to compliment_type = 'photo'; photo has medium in number refers to number_of_compliments = 'Medium'
List down the category of businesses whose stars ratings are 5.
category of businesses refers to category_name; stars ratings are 5 refers to stars = 5
less than 5 low compliment refers to number_of_compliments < 5
how long was the review refers to review_length; business number refers to business_id; user number refers to user_id;
in Arizona refers to state = 'AZ'; user no. 3 refers to user_id = 3
percentage = MULTIPLY(DIVIDE(SUM(city = 'Phoenix' END), COUNT(category_id)), 1.0);
false
elite user for consecutively 5 years or more refers to user_id COUNT(year_id) > 5; Average star = AVG(likes)
active business refers to active = 'true'; Casa Grande refers to city = 'Casa Grande'
long reviews refers to review_length = 'long'; most number of long reviews refers to MAX(COUNT(review_length = 'long')); average ratings = AVG(review_stars);
in Tempe refers to city = 'Tempe'; rated as 'Wonderful experience refers to stars > 3
user No. refers to user_id;
Calculate difference between business that have the highest number of reviews and business that have the lowest number of reviews.
highest number of reviews refers to SUBTRACT(MAX(COUNT(business_id), MIN(COUNT(business_id))))
without attribute refers to attribute_value = 'None'; in Gilbert refers to city = 'Gilbert'
businesses with long length tips refer to business_id where tip_length = 'Long';
since year 2005 refers to year_id Between 2005 and 2014; increment percentage = Divide(Count(user_id(year_id < 2014)), Count (user_id(year_id = 2015))) * 100
Yelp_Business no.1 refers to business_id = 1
inactive business refers to active = 'FALSE'; 'AZ' is the state; 'Phoenix' is the name of city; medium review count refers to review_count = 'Medium'; 3.5 stars refers to stars = 3.5
business number refers to business_id; Scottsdale refers to city = 'Scottsdale'; day number refers to day_id;
active business refers to active = 'true'; 'Wi-Fi' is the attribute_name; medium review count refers to review_count = 'Medium'
still running refers to active = 'true'; opened from 8AM to 6PM refers to opening_time = '8AM' AND closing_time = '6PM';
elite user for consecutively 5 years or more refers to user_id COUNT(year_id) > 5; Average star = AVG(likes)
businesses in "Pets" category refers to category_name = 'Pets'; percentage refers to DIVIDE(COUNT(category_name = 'Pets'), COUNT(business_id)) * 100%
How many stars on average does user no.3 give to Yelp_Business in Arizona?
user no.3 refers to user_id = 3; in Arizona refers to state = 'AZ'; stars on average = avg(review_stars(user_id = 3))
in Arizona refers to state = 'AZ'; user no. 3 refers to user_id = 3
drive-thru refers to attribute_name = 'Drive-Thru' AND attribute_value = 'true'; Scottsdale refers to city = 'Scottsdale'; business_id < 1000;
opened for 24 hours refers to attribute_name = 'Open 24 Hours' AND attribute_value = 'true'
active businesses refers to active = 'true'; AZ is a state; medium review count refers to review_count = 'Medium'
how long was the review refers to review_length; business number refers to business_id; user number refers to user_id;
12 am refers to opening_time = '12AM'; 1 am refers to closing_time = '1AM'; on Saturday refers to day_of_week = 'Saturday'
category refers to category_name; highest review stars refers to max(review_stars); business ID from 6 to 9 refers to business_id between 6 and 9
opened during late afternoon refers to Business_Hours where opening_time ≥ '5PM'; active businesses refer to business_id where active = 'true';
ID refers to business_id; category of "Diagnostic Imaging" refers to category_name = 'Diagnostic Imaging';
closed business refers to active = 'false'; in Avondale refers to city = 'Avondale'; 'wonderful experience' rating refers to stars > 3; percentage = divide(count(business_id where stars > 3), count(business_id))*100%
How many Yelp_Business in Anthem are under the category of "Food"?
in Anthem refers to city = 'Anthem'; the category of "Food" refers to category_name = 'Food'
ratio = divide(count(business_id where category_name = 'Shopping'), count(business_id where category_name = 'Pets'))
active business refers to active = 'true': 'Mesa' is the name of city; 'AZ' is the state; low review count refers to review_count = 'Low'; category refers to category_name
active business refers to active = 'true';  'Scottsdale' is the name of city; stars greater than the 60% of average age of star rating refers to stars  > avg(stars) * 60%
category refers to category_name
opening hours 10AM on Saturday refer to Business_Hours where opening_time = '10AM' and day_id = 6;
category refers to category_name; highest review stars refers to max(review_stars); business ID from 6 to 9 refers to business_id between 6 and 9
percentage = MULTIPLY(DIVIDE(SUM(city = 'Phoenix' END), COUNT(category_id)), 1.0);
short tips refers to tip_length = 'short'; most number of short tips refers to MAX(COUNT(tip_length = 'short')); category refers to category_name;
uber number of fans refers to user_fans = 'uber';
medium length tip refers to tip_length = 'Medium';
In businesses with a category of mexican, how many of them has a star rating below 4?
category of mexican refers to category_name = 'Mexican'; star rating below 4 refers to stars < 4
do not have fans refers to user_fans = 'None'; high number of compliment refers to number_of_compliments = 'High'
average review = Divide(Count(user_id), Count(business_id))
cool compliments refers to compliment_type = 'cool'; user number refers to user_id;
type of compliments refers to compliment_type; user No. refers to user_id;
started using Yelp since 2004 refers to user_yelping_since_year = '2004'; had high followers refers to user_fans = 'High'
Women's clothing refers to category_name = 'Women''s Clothing'; Men's clothing refers to category_name = 'Men''s Clothing'; percentage more = MULTIPLY(DIVIDE(SUBTRACT(SUM(category_name = 'Women''s Clothing'), SUM(category_name = 'Men''s Clothing')), COUNT(business_id)), 1.0);
"ambience_romantic" attribute refers to attribute_name = 'ambience_romantic' AND attribute_value = 'true'
state refers to city
business no. 14033 refers to business_id = 14033; good for supper refers to attribute_name = 'good_for_dinner'
business No. refers to business_id; have TV refers to attribute_name = 'Has TV';
What is the average business time for Yelp_Business no.1 on weekends?
Yelp_Business no.1 refers to business_id = 1; on weekends refers to day_of_week = 'Saturday' or day_of_week = 'Sunday'; average business time refers to DIVIDE(SUBTRACT(closing_time, opening_time), 2)
with great experience refers to stars = 5
active business refers to active = 'true'; category of Fashion refers to category = 'Fashion'
rating more than 2 refers to stars > 2;
state refers to city
operating hours refers to opening_time closing_time on day_id; in Black Canyon City refers to city = 'Black Canyon City'; greater than average refers to review_count > AVG(T1.review_count)
medium refers to number_of_compliments = 'Medium';
year with yelp = Subtract ('%Y'(CURRENT TIME), user_yelping_since_year)
the most reviews refer to MAX(user_id);
short tip refers to tip_length = 'Short'; business category refers to category_name
user yelping since 2010 to 2012 refers to user_yelping_since_year > = '2010' AND user_yelping_since_year < '2013'; low fans refers to user_fans = 'Low'
What business category is the Yelp business which got the most 5 star reviews in?
business category refers to category_name; most 5 star reviews refers to MAX(COUNT(category_name WHERE star_reviews = 5));
without attribute refers to attribute_value = 'None'; in Gilbert refers to city = 'Gilbert'
user yelping since 2010 to 2012 refers to user_yelping_since_year > = '2010' AND user_yelping_since_year < '2013'; low fans refers to user_fans = 'Low'
average star less than 3 stars refers to user_average_stars < 3; in 2012 refers to user_yelping_since_year = 2012
best elite refers to user_average_stars = 5; worse eliter refers to user_average_stars = 1: in 2013 refers to year_id = 2013; ratio = Divide(Count(user_id(user_average_stars = 5)),  Count(user_id(user_average_stars = 1)))
year with yelp = Subtract ('%Y'(CURRENT TIME), user_yelping_since_year)
since year 2005 refers to year_id Between 2005 and 2014; increment percentage = Divide(Count(user_id(year_id < 2014)), Count (user_id(year_id = 2015))) * 100
short comment refers to tip_length = 'Short'; users who joined in 2010 refer to user_id where user_yelping_since_year = 2010;
DIVIDE(COUNT(business_id where category_name = 'Food' and opening_time = '7AM' and closing_time = '8PM'), COUNT(business_id where opening_time = '7AM' and closing_time = '8PM')) as percentage;
Chinese refers to category_name = 'Chinese'; Filipino refers to category_name = 'Filipino'; how many more = SUBTRACT(SUM(category_name = 'Chinese'), SUM(category_name = 'Filipino'));
active business refers to active = 'true'; not in Arizona refers to state ! = 'AZ'; category refers to category_name
Calculate the difference between running business in Glendale City and Mesa City.
running business refers to business where active = 'true';
low cool vote for user refers to user_votes_cool = 'Low';  low cool vote for review refers to review_votes_cool = 'Low'
year the user join the Yelp refers to user_yelping_since_year; star reviews refers to review_stars;
in Tempe refers to city = 'Tempe'; rated as 'Wonderful experience refers to stars > 3
average review = Divide(Count(user_id), Count(business_id))
users refer to user_id; uber votes for all of the review category refer to review_votes_funny = 'uber' AND review_votes_useful = 'uber' AND review_votes_cool = 'uber';
short length of review refers to review_length = 'Short'; in Phoenix refers to city = 'Phoenix'
"Hotel & Travel" is the category_name; most review refers to Max(Count(category_id)); Average star per user = Divide (Sum (review_stars), Count(user_id))
closed business refers to active = 'false'; in Avondale refers to city = 'Avondale'; 'wonderful experience' rating refers to stars > 3; percentage = divide(count(business_id where stars > 3), count(business_id))*100%
business that accept insurance refers to attribute_name = 'Accepts Insurance' AND attribute_value = 'true'
high compliments refers to number_of_compliments = ' High'; joined Yelp earliest refers to min(user_yelping_since_year)
Find out which hotel and travel business having the most review? Calculate the standard deviation of the review star for this business.
"Hotel & Travel" is the category_name; most review refers to Max(Count(category_id)); Average star per user = Divide (Sum (review_stars), Count(user_id))
active business refers to active = 'true'; category of Fashion refers to category = 'Fashion'
posted more than 10 reviews refers to count(Reviews.user_id) > 10
short tips refers to tip_length = 'short'; most number of short tips refers to MAX(COUNT(tip_length = 'short')); category refers to category_name;
photos type compliment refers to compliment_type = 'photos'; high cool votes refers to review_votes_cool = 'High'
business number refers to business_id;
users refer to user_id; review_votes_funny = 'uber';
users who started yelping in 2012 refers to user_yelping_since_year = '2012'; high number of funny votes refers to user_votes_funny = 'High';
still running refers to active = 'true'; opened from 8AM to 6PM refers to opening_time = '8AM' AND closing_time = '6PM';
music_karaoke attribute refers to attribute_name = 'music_karaoke' AND attribute_value = 'true'; businesses are closed refers to active = 'false'
in Anthem refers to city = 'Anthem'; the category of "Food" refers to category_name = 'Food'
Count the active businesses that has an attribute of caters with low review count.
active businesses refers to active = 'true'; attribute of caters refers to attribute_name = 'Caters'
running business refers to business where active = 'true';
rating refers to stars; inactive refers to active = 'False'; average rating of inactive businesses = DIVIDE(SUM(stars), COUNT(business_id));
most popular and appealing refers to review_count = 'High' and max(stars); active business refers to active = 'true'; in Gilbert refers to city = 'Gilbert'
do not have fans refers to user_fans = 'None'; high number of compliment refers to number_of_compliments = 'High'
close after 8PM refers to closing_time = '9PM' or closing_time = '10PM' closing_time = '11PM' closing_time = '12PM'; Mondays refers to day_of_week = 'Monday'
business category refers to category_name; most 5 star reviews refers to MAX(COUNT(category_name WHERE star_reviews = 5));
user numbers refers to user_id; Uber number refers to number_of_compliments = 'Uber'; cute compliments refers to compliment_type = 'cute';
users refer to user_id; uber votes for all of the review category refer to review_votes_funny = 'uber' AND review_votes_useful = 'uber' AND review_votes_cool = 'uber';
since year 2012 refers to user_yelping_since_year = '2012'
business number refers to business_id; business_id = 2; does not have refers to attribute_value = 'none';
Among the businesses with a category of Local Services, what is the percentage of the business with less than 3 stars?
"Local Services" is the category_name; less than 3 stars refers to stars < 3; percentage = Divide(Count(business_id(stars < 3)), Count(business_id)) * 100
highest review count refers to review_count = 'Uber'; average business review stars = Divide (Sum(review_stars), Count(user_id))
Sunday refers to day_of_week = 'Sunday' where day_id = 1; opened from 9AM to 9PM refers to Business_Hours where opening_time = '9AM' and closing_time = '9PM'; DIVIDE(COUNT(opening_time = '9AM' and closing_time = '9PM' and day_of_week = 'Sunday'), COUNT(opening_time = NOT NULL and closing_time = NOT NULL and day_of_week = 'Sunday')) as percentage;
long reviews refers to review_length = 'long'; most number of long reviews refers to MAX(COUNT(review_length = 'long')); average ratings = AVG(review_stars);
active business refers to active = 'true'; 'Wi-Fi' is the attribute_name; medium review count refers to review_count = 'Medium'
do not have fans refers to user_fans = 'None'; high number of compliment refers to number_of_compliments = 'High'
rating refers to stars; inactive refers to active = 'False'; average rating of inactive businesses = DIVIDE(SUM(stars), COUNT(business_id));
most popular and appealing refers to review_count = 'High' and max(stars); active business refers to active = 'true'; in Gilbert refers to city = 'Gilbert'
long tip refers to tip_length = 'Long'; 2 likes refers to likes = 2; high number of fans refers to user_fans = 'High'
state refers to city
average review = Divide(Count(user_id), Count(business_id))
Calculate the percentage of business which opened on Sunday from 9AM to 9PM based on the number of business opened on Sunday.
Sunday refers to day_of_week = 'Sunday' where day_id = 1; opened from 9AM to 9PM refers to Business_Hours where opening_time = '9AM' and closing_time = '9PM'; DIVIDE(COUNT(opening_time = '9AM' and closing_time = '9PM' and day_of_week = 'Sunday'), COUNT(opening_time = NOT NULL and closing_time = NOT NULL and day_of_week = 'Sunday')) as percentage;
opened for 24 hours refers to attribute_name = 'Open 24 Hours' AND attribute_value = 'true'
long reviews refers to review_length = 'long'; most number of long reviews refers to MAX(COUNT(review_length = 'long')); category refers to category_name;
highest review count refers to review_count = 'Uber'; average business review stars = Divide (Sum(review_stars), Count(user_id))
opened all the time refers to Business_Hours where day_id BETWEEN 1 and 7 and opening_time = closing_time; ratio can be computed as DIVIDE(COUNT(stars BETWEEN 3.5 and 5), COUNT(stars BETWEEN 1 and 2.5));
posted more than 10 reviews refers to count(Reviews.user_id) > 10
do not have fans refers to user_fans = 'None'; high number of compliment refers to number_of_compliments = 'High'
opening hours before 7AM refer to opening_time < '7AM'; businesses refer to business_id;
"cool" type compliments refers to compliment_type = 'cool'; user No. 41717 refers to user_id = 41717
medium tip length refers to tip_length = 'Medium'; percentage = divide(count(tips where tip_length = 'Medium'), count(tips))*100%; the time when users join Yelp refers to user_yelping_since_year
short tips refers to tip_length = 'short'; most number of short tips refers to MAX(COUNT(tip_length = 'short')); category refers to category_name;
How many users with a long tip and 2 likes for their tip have a high number of fans?
long tip refers to tip_length = 'Long'; 2 likes refers to likes = 2; high number of fans refers to user_fans = 'High'
active business refers to active = 'true';  'Scottsdale' is the name of city; stars greater than the 60% of average age of star rating refers to stars  > avg(stars) * 60%
active businesses refers to active = 'true'; located at Chandler, AZ refers to city = 'Chandler', state = 'AZ'; category refers to category_name; atrributes refers to attribute_name
'Phoenix' is the city; waiter service refers to attribute_name = 'waiter_services'
shopping business refers to category_name = 'Shopping'; opening time before 8AM refers to opening_time < '8AM';
AZ refers to state = 'AZ'; stars < 3;
long reviews refers to review_length = 'long'; most number of long reviews refers to MAX(COUNT(review_length = 'long')); average ratings = AVG(review_stars);
elite user for consecutively 5 years or more refers to user_id COUNT(year_id) > 5; Average star = AVG(likes)
with great experience refers to stars = 5
highest review count refers to review_count = 'Uber'; average business review stars = Divide (Sum(review_stars), Count(user_id))
drive-thru refers to attribute_name = 'Drive-Thru' AND attribute_value = 'true'; Scottsdale refers to city = 'Scottsdale'; business_id < 1000;
How many 2 stars rated business located in Phoenix, Arizona?
located in Phoenix refers to city = 'Phoenix'; Arizona refers to state = 'AZ'
closed at 8PM refers to closing_time = '8PM';
under the category of "Food" refers to category_name = 'Food'; are good for kids refers to attribute_name = 'Good for Kids' and attribute_value = 'true'
active business refers to active = 'true'; 'AZ' is the state; high review count refers to review_count = 'High'
businesses refer to business_id; review_stars = 5.0; review_votes_funny = 'uber';
Tempe is a city; high review count refers to review_count = 'High'
opened all the time refers to Business_Hours where day_id BETWEEN 1 and 7 and opening_time = closing_time; ratio can be computed as DIVIDE(COUNT(stars BETWEEN 3.5 and 5), COUNT(stars BETWEEN 1 and 2.5));
long refers to review_length = 'Long';
elite user for consecutively 5 years or more refers to user_id COUNT(year_id) > 5; Average star = AVG(likes)
"Good for Kids" attribute refers to attribute_name = 'Good for Kids' AND attribute_value = 'true'; Calculation = DIVIDE(SUM(attribute_name = 'Good for Kids' AND attribute_value = 'true')), SUM(business_id) * 100
type of compliments refers to compliment_type; most number of funny type of compliments refers to MAX(COUNT(number of compliments = 'high' WHERE compliment_type = 'funny'));
What is the yearly average review done by user ID 3?
yearly average review = Divide( Count(business_id), Subtract('%Y'(CURRENT_TIME), user_yelping_since_year))
businesses with long length tips refer to business_id where tip_length = 'Long';
long reviews refers to review_length = 'long'; most number of long reviews refers to MAX(COUNT(review_length = 'long')); average ratings = AVG(review_stars);
categories refers to category_name; closes at 12PM refers to closing_time = '12PM'; on Sundays refers to day_of_week = 'Sunday'
12 am refers to opening_time = '12AM'; 1 am refers to closing_time = '1AM'; on Saturday refers to day_of_week = 'Saturday'
started using Yelp since 2004 refers to user_yelping_since_year = '2004'; had high followers refers to user_fans = 'High'
closed at 8PM refers to closing_time = '8PM';
are still running refers to active = 'true'; the category of "Food" refers to category_name = 'Food'
user numbers refers to user_id; Uber number refers to number_of_compliments = 'Uber'; cute compliments refers to compliment_type = 'cute';
active business refers to active = 'true'; 'Wi-Fi' is the attribute_name; medium review count refers to review_count = 'Medium'
"Scottsdale" is the name of city; high review count refers to review_count = 'High'; attribute of the business refers to attribute_name
What city does the business have a business hour from 10 am to 12 pm on Sunday?
10 am refers to opening_time = '10AM'; 12 pm refers to closing_time = '12PM'; on Sunday refers to day_of_week = 'Sunday'
types of music refers to attribute_name LIKE '%music%' WHERE attribute_value = 'true'; business No. refers to business_id;
in Anthem refers to city = 'Anthem'; the category of "Food" refers to category_name = 'Food'
Yelp_Business no.1 refers to business_id = 1; open on refers to opening_time; Tuesdays refers to day_of_week = 'Tuesday'
businesses are not closed refers to active = 'true'
business number refers to business_id;
"Good for Kids" attribute refers to attribute_name = 'Good for Kids' AND attribute_value = 'true'; Calculation = DIVIDE(SUM(attribute_name = 'Good for Kids' AND attribute_value = 'true')), SUM(business_id) * 100
AVG(user_yelping_since_year) where user_id from Elite;
elite user for consecutively 5 years or more refers to user_id COUNT(year_id) > 5; Average star = AVG(likes)
active business ID refers to active = 'true'; category of Food refers to category_name = 'Food'; attribute of BYOB refers to attribute_name = 'BYOB'; high review count refers to review_count = 'High'
opened all the time refers to Business_Hours where day_id BETWEEN 1 and 7 and opening_time = closing_time;
List the active business ID and its stars of the businesses fall under the category of Fashion.
active business refers to active = 'true'; category of Fashion refers to category = 'Fashion'
category of businesses refers to category_name; stars ratings are 5 refers to stars = 5
opened all the time refers to Business_Hours where day_id BETWEEN 1 and 7 and opening_time = closing_time;
high review count refers to review_count = 'High'; received 2 stars refers to stars = 2; category refers to category_name
medium length tip refers to tip_length = 'Medium';
yearly average review = Divide( Count(business_id), Subtract('%Y'(CURRENT_TIME), user_yelping_since_year))
active business refers to active = 'true';  'Scottsdale' is the name of city; stars greater than the 60% of average age of star rating refers to stars  > avg(stars) * 60%
in Anthem refers to city = 'Anthem'; stars on average = avg(review_stars)
closed/not running refers to active = 'False'; most reviews refers to MAX(COUNT(user_id));
uber number of fans refers to user_fans = 'uber';
active business ID refers to active = 'true'; categories refers to category_name; Glendale is a city; AZ is a state
How many users have joined Yelp since the year 2012?
since year 2012 refers to user_yelping_since_year = '2012'
still running refers to active = 'true'; opened from 8AM to 6PM refers to opening_time = '8AM' AND closing_time = '6PM';
user numbers refers to user_id; Uber number refers to number_of_compliments = 'Uber'; cute compliments refers to compliment_type = 'cute';
closed business refers to active = 'false'; in Avondale refers to city = 'Avondale'; 'wonderful experience' rating refers to stars > 3; percentage = divide(count(business_id where stars > 3), count(business_id))*100%
5-star refers to stars = 5; in Ahwatukee refers to city = 'Ahwatukee'; business category refers to category_name
"Gilbert" is the name of city; highest star rating refers to Max(stars)
in Arizona refers to state = 'AZ'; user no. 3 refers to user_id = 3
inactive business refers to active = 'FALSE'; 'AZ' is the state; 'Phoenix' is the name of city; medium review count refers to review_count = 'Medium'; 3.5 stars refers to stars = 3.5
open businesses refers to active = 'true'; long review refers to review_length = 'Long'
the ID refers to business_id; active status refers to active; active = 'true' means the business is still running; active = 'false' means the business is closed or not running now
businesses in Arizona refer to business_id where state = 'Arizona'; average review less than 3 stars refers to AVG(review_stars) < 3.0;
Sum up the number of business with "ambience_romantic" attribute.
"ambience_romantic" attribute refers to attribute_name = 'ambience_romantic' AND attribute_value = 'true'
music_karaoke attribute refers to attribute_name = 'music_karaoke' AND attribute_value = 'true'; businesses are closed refers to active = 'false'
Sunday refers to day_of_week = 'Sunday' where day_id = 1; opened from 9AM to 9PM refers to Business_Hours where opening_time = '9AM' and closing_time = '9PM'; DIVIDE(COUNT(opening_time = '9AM' and closing_time = '9PM' and day_of_week = 'Sunday'), COUNT(opening_time = NOT NULL and closing_time = NOT NULL and day_of_week = 'Sunday')) as percentage;
category of food refers to category_name = 'Food'; calculation = DIVIDE(COUNT(stars > 3), SUM(stars))
active business ID refers to active = 'true'; categories refers to category_name; Glendale is a city; AZ is a state
posted more than 10 reviews refers to count(Reviews.user_id) > 10
the ID refers to business_id; active status refers to active; active = 'true' means the business is still running; active = 'false' means the business is closed or not running now
short tip refers to tip_length = 'Short'; business category refers to category_name
AVG(user_yelping_since_year) where user_fans = 'uber';
photos type compliment refers to compliment_type = 'photos'; high cool votes refers to review_votes_cool = 'High'
no longer in business refers to active = 'False'; low number of votes useful refers to review_votes_useful = 'Low';
User No."63469" has got "1" like for a tip to the Yelp business, which city is that business located in?
user No. refers to user_id;
AZ refers to state = 'AZ'; stars < 3;
attribute_value = 'beer_and_wine'
the most common type of compliments refers to MAX(COUNT(compliment_type))
the most reviews refer to MAX(user_id);
opening hours 10AM on Saturday refer to Business_Hours where opening_time = '10AM' and day_id = 6;
Women's clothing refers to category_name = 'Women''s Clothing'; Men's clothing refers to category_name = 'Men''s Clothing'; percentage more = MULTIPLY(DIVIDE(SUBTRACT(SUM(category_name = 'Women''s Clothing'), SUM(category_name = 'Men''s Clothing')), COUNT(business_id)), 1.0);
Arizona refers to state = 'AZ'; still running refers to active = 'true';
categories refers to category_name; closes at 12PM refers to closing_time = '12PM'; on Sundays refers to day_of_week = 'Sunday'
high compliments refers to number_of_compliments = ' High'; joined Yelp earliest refers to min(user_yelping_since_year)
business category refers to category_name; most 5 star reviews refers to MAX(COUNT(category_name WHERE star_reviews = 5));
Which city has more Yelp_Business that's more appealing to users, Scottsdale or Anthem?
more appealing to users refers to MAX(review_count);
opening hours 10AM on Saturday refer to Business_Hours where opening_time = '10AM' and day_id = 6;
without attribute refers to attribute_value = 'None'; in Gilbert refers to city = 'Gilbert'
active business refers to active = 'true'; 'AZ' is the state; high review count refers to review_count = 'High'
uber number of fans refers to user_fans = 'uber';
user No. refers to user_id; short tip refers to tip_length = 'short'; category refers to category_name;
attribute name which start with "music" refers to attribute_name LIKE 'music%'
year has the most elite users refers to year_id with MAX(user_id);
closed at 8PM refers to closing_time = '8PM';
name of business refers to category_name;
drive-thru refers to attribute_name = 'Drive-Thru' AND attribute_value = 'true'; Scottsdale refers to city = 'Scottsdale'; business_id < 1000;
Please list all the categories of the Yelp_Business in Arizona.
categories refers to category_name; in Arizona refers to state = 'AZ'
ID refers to business_id; category of "Diagnostic Imaging" refers to category_name = 'Diagnostic Imaging';
closed/not running refers to active = 'False'; most reviews refers to MAX(COUNT(user_id));
posted more than 10 reviews refers to count(Reviews.user_id) > 10
with great experience refers to stars = 5
how much time does this business open refers to SUBTRACT(closing_time, opening_time); DIVIDE(SUM(SUBTRACT(closing_time, opening_time)), SUM(Business.business_id))
active business refers to active = 'true': 'Mesa' is the name of city; 'AZ' is the state; low review count refers to review_count = 'Low'; category refers to category_name
active businesses refers to active = 'true'; in Chandler refers to city = 'Chandler'
actively running refers to active = 'TRUE'; Tolleson refers to city = 'Tolleson';
year has the most elite users refers to year_id with MAX(user_id);
medium tip length refers to tip_length = 'Medium'; percentage = divide(count(tips where tip_length = 'Medium'), count(tips))*100%; the time when users join Yelp refers to user_yelping_since_year
Among the Yelp_Businesses which are still running, how many of them fall under the category of "Food"?
are still running refers to active = 'true'; the category of "Food" refers to category_name = 'Food'
do not have fans refers to user_fans = 'None'; high number of compliment refers to number_of_compliments = 'High'
10 am refers to opening_time = '10AM'; 12 pm refers to closing_time = '12PM'; on Sunday refers to day_of_week = 'Sunday'
high compliments refers to number_of_compliments = 'High'; type in photo refers to compliment_ID = 1
business No. refers to business_id; have TV refers to attribute_name = 'Has TV';
"Shopping Centers" is the category_name; high review count refers to review_count = 'High'
percentage = MULTIPLY(DIVIDE(SUM(city = 'Phoenix' END), COUNT(category_id)), 1.0);
active businesses refers to active = 'true'; attribute of caters refers to attribute_name = 'Caters'
"Tempe" is the name of city; long review refers to review_length = 'Long'
businesses refer to business_id; review_stars = 5.0; review_votes_funny = 'uber';
business that accept insurance refers to attribute_name = 'Accepts Insurance' AND attribute_value = 'true'
Among the Yelp_Business in Arizona, how many of them closes at 12PM on Sundays?
in Arizona refers to state = 'AZ'; closes at 12PM refers to closing_time = '12PM'; on Sundays refers to day_of_week = 'Sunday'
closed business refers to active = 'false'; in Avondale refers to city = 'Avondale'; 'wonderful experience' rating refers to stars > 3; percentage = divide(count(business_id where stars > 3), count(business_id))*100%
high compliments refers to number_of_compliments = 'High'; type in photo refers to compliment_ID = 1
under the category "Food" refers to category_name = 'Food'
elite user for consecutively 5 years or more refers to user_id COUNT(year_id) > 5; Average star = AVG(likes)
"Scottsdale" is the name of city; high review count refers to review_count = 'High'; attribute of the business refers to attribute_name
longest business time refers to max(subtract(closing_time, opening_time)); on Mondays refers to day_of_week = 'Monday';  category "Shopping" refers to category_name = 'Shopping'
user's compliment in photo refers to compliment_type = 'photo'; photo has medium in number refers to number_of_compliments = 'Medium'
actively running business refers to active = 'true'; 'Gilbert' is the name of city; most review refers to review_count = 'Uber'
do not provide alcohol refers to attribute_name = 'Alcohol'and attribute_value = 'none'
opened during late afternoon refers to Business_Hours where opening_time ≥ '5PM'; active businesses refer to business_id where active = 'true';
Find the Yelp user with the average 5-star rating of all reviews who has been yelping the longest.
Yelp user refers to user_id; average 5-star rating refers to user_average_stars = 5; yelping the longest refers to min(user_yelping_since_year)
elite user for consecutively 5 years or more refers to user_id COUNT(year_id) > 5; Average star = AVG(likes)
users who started yelping in 2012 refers to user_yelping_since_year = '2012'; high number of funny votes refers to user_votes_funny = 'High';
business number refers to business_id; business_id = 2; does not have refers to attribute_value = 'none';
ID refers to business_id; category of "Diagnostic Imaging" refers to category_name = 'Diagnostic Imaging';
the most common type of compliments refers to MAX(COUNT(compliment_type))
ratio = divide(count(business_id where category_name = 'Shopping'), count(business_id where category_name = 'Pets'))
businesses refer to business_id; review_stars = 5.0; review_votes_funny = 'uber';
category of food refers to category_name = 'Food'; calculation = DIVIDE(COUNT(stars > 3), SUM(stars))
in Casa Grande refers to city = 'Casa Grande'
average review = Divide(Count(user_id), Count(business_id))
Calculate the yearly average user who started using Yelp from the year of 2005 to 2014.
avg(user_id) where user_yelping_since_year BETWEEN '2005' AND '2014';
short reviews refer to tip_length = 'Short';
high review count refers to review_count = 'High'; received 2 stars refers to stars = 2; category refers to category_name
type of compliments refers to compliment_type; most number of funny type of compliments refers to MAX(COUNT(number of compliments = 'high' WHERE compliment_type = 'funny'));
open businesses refers to active = 'true'; long review refers to review_length = 'Long'
AVG(user_yelping_since_year) where user_id from Elite;
category of food refers to category_name = 'Food'; calculation = DIVIDE(COUNT(stars > 3), SUM(stars))
AZ refers to state = 'AZ'; stars < 3;
users refer to user_id; uber votes for all of the review category refer to review_votes_funny = 'uber' AND review_votes_useful = 'uber' AND review_votes_cool = 'uber';
state refers to city
good for kids refers to attribute_name = 'Good for Kids' and attribute_value = 'true'
How many "cute" type of compliments does user No. 57400 get?
type of compliments refers to compliment_type; user No. refers to user_id;
businesses with long length tips refer to business_id where tip_length = 'Long';
shopping business refers to category_name = 'Shopping'; opening time before 8AM refers to opening_time < '8AM';
Arizona refers to state = 'AZ'; still running refers to active = 'true';
users refer to user_id; review_votes_funny = 'uber';
close after 8PM refers to closing_time = '9PM' or closing_time = '10PM' closing_time = '11PM' closing_time = '12PM'; Mondays refers to day_of_week = 'Monday'
active businesses refers to active = 'true'; AZ is a state; medium review count refers to review_count = 'Medium'
active businesses refers to active = 'true'; attribute of caters refers to attribute_name = 'Caters'
opening hours 10AM on Saturday refer to Business_Hours where opening_time = '10AM' and day_id = 6;
low cool vote for user refers to user_votes_cool = 'Low';  low cool vote for review refers to review_votes_cool = 'Low'
active businesses in Arizona refer to business_id where state = 'Arizona' and active = 'true'; work after 12PM refer to opening_time > '12PM';
How many active businesses from Casa Grande are registered in the database?
active business refers to active = 'true'; Casa Grande refers to city = 'Casa Grande'
music_karaoke attribute refers to attribute_name = 'music_karaoke' AND attribute_value = 'true'; businesses are closed refers to active = 'false'
opening times of 7AM and closing times of 8PM refer to Business_Hours where opening_time = '7AM' and closing_time = '8PM'; active business refers to business_id where active = 'true';
days from Monday to Saturday refer to day_id between 2 and 7; work the most days can be computed as MAX(COUNT(category_name where day_id between 2 and 7));
average star less than 3 stars refers to user_average_stars < 3; in 2012 refers to user_yelping_since_year = 2012
attribute numbers refers to attribute_id; related to payment refers to attribute_name like '%payment%';
'Phoenix' is the city; waiter service refers to attribute_name = 'waiter_services'
categories refers to category_name
short tip refers to tip_length = 'Short'; business category refers to category_name
year with yelp = Subtract ('%Y'(CURRENT TIME), user_yelping_since_year)
highest review count refers to review_count = 'Uber'; average business review stars = Divide (Sum(review_stars), Count(user_id))
Provide business ids with opening hours 10AM on Saturday.
opening hours 10AM on Saturday refer to Business_Hours where opening_time = '10AM' and day_id = 6;
located in "Phoenix" refers to city = 'Phoenix'; received a "5" star review refers to review_stars = '5'; "uber" number of votes for funny refers to review_votes_funny = 'Uber'
"Hotel & Travel" is the category_name; most review refers to Max(Count(category_id)); Average star per user = Divide (Sum (review_stars), Count(user_id))
longest business time refers to max(subtract(closing_time, opening_time)); on Mondays refers to day_of_week = 'Monday';  category "Shopping" refers to category_name = 'Shopping'
became an elite user the same year they joined Yelp refers to user_yelping_since_year = year_id
do not have fans refers to user_fans = 'None'; high number of compliment refers to number_of_compliments = 'High'
Women's clothing refers to category_name = 'Women''s Clothing'; Men's clothing refers to category_name = 'Men''s Clothing'; percentage more = MULTIPLY(DIVIDE(SUBTRACT(SUM(category_name = 'Women''s Clothing'), SUM(category_name = 'Men''s Clothing')), COUNT(business_id)), 1.0);
AZ refers to state = 'AZ'; stars < 3;
drive-thru refers to attribute_name = 'Drive-Thru' AND attribute_value = 'true'; Scottsdale refers to city = 'Scottsdale'; business_id < 1000;
businesses refer to business_id; review_stars = 5.0; review_votes_funny = 'uber';
opened all the time refers to Business_Hours where day_id BETWEEN 1 and 7 and opening_time = closing_time; ratio can be computed as DIVIDE(COUNT(stars BETWEEN 3.5 and 5), COUNT(stars BETWEEN 1 and 2.5));
What is the ratio of good to bad business star for a businesses that are opened all the time?
opened all the time refers to Business_Hours where day_id BETWEEN 1 and 7 and opening_time = closing_time; ratio can be computed as DIVIDE(COUNT(stars BETWEEN 3.5 and 5), COUNT(stars BETWEEN 1 and 2.5));
Arizona refers to state = 'AZ'; still running refers to active = 'true';
short length of review refers to review_length = 'Short'; in Phoenix refers to city = 'Phoenix'
closing hours refer to closing_time; business days refer to day_id from Business_Hours;
open 24 hours refers to attribute_name = 'Open 24 Hours' AND attribute_value = 'true'; rating refers to stars; average rating = AVG(stars);
long reviews refers to review_length = 'Long'; medium number of useful votes refers to review_votes_useful = 'medium';
since year 2005 refers to year_id Between 2005 and 2014; increment percentage = Divide(Count(user_id(year_id < 2014)), Count (user_id(year_id = 2015))) * 100
"Gilbert" is the name of city; highest star rating refers to Max(stars)
opening hours refers to opening_time; earlier than 8AM refers to opening_time < '8AM';
how much time does this business open refers to SUBTRACT(closing_time, opening_time); DIVIDE(SUM(SUBTRACT(closing_time, opening_time)), SUM(Business.business_id))
low compliments refers to number_of_compliments = 'Low'; joined Yelp in 2012 refers to user_yelping_since_year = 2012
How many businesses in Arizona having an average review less than 3 stars?
businesses in Arizona refer to business_id where state = 'Arizona'; average review less than 3 stars refers to AVG(review_stars) < 3.0;
in Chandler refers to city = 'Chandler'; attribute refers to attribute_name
rating refers to stars; inactive refers to active = 'False'; average rating of inactive businesses = DIVIDE(SUM(stars), COUNT(business_id));
closing hours refer to closing_time; business days refer to day_id from Business_Hours;
opened during late afternoon refers to Business_Hours where opening_time ≥ '5PM'; active businesses refer to business_id where active = 'true';
false
located in Phoenix refers to city = 'Phoenix'; Arizona refers to state = 'AZ'
opened all the time refers to Business_Hours where day_id BETWEEN 1 and 7 and opening_time = closing_time; ratio can be computed as DIVIDE(COUNT(stars BETWEEN 3.5 and 5), COUNT(stars BETWEEN 1 and 2.5));
"cool" type compliments refers to compliment_type = 'cool'; user No. 41717 refers to user_id = 41717
DIVIDE(COUNT(business_id where review_count = 'Low' and active = 'true'), COUNT(business_id where review_count = 'Low' and active = 'false'));
open businesses refers to active = 'true'; long review refers to review_length = 'Long'
How many active businesses of city are underrated?
active businesses refers to active = 'true'; underrated refers to review_count = 'Low';
located in Phoenix refers to city = 'Phoenix'; Arizona refers to state = 'AZ'
less than 5 low compliment refers to number_of_compliments < 5
"Good for Groups" and "Good for Dancing" are attribute_name; active business refers to active = true'
in Casa Grande refers to city = 'Casa Grande'
in Anthem refers to city = 'Anthem'; the category of "Food" refers to category_name = 'Food'
in Tempe refers to city = 'Tempe'; rated as 'Wonderful experience refers to stars > 3
false
more appealing to users refers to MAX(review_count);
"Tempe" is the name of city; long review refers to review_length = 'Long'
Women's clothing refers to category_name = 'Women''s Clothing'; Men's clothing refers to category_name = 'Men''s Clothing'; percentage more = MULTIPLY(DIVIDE(SUBTRACT(SUM(category_name = 'Women''s Clothing'), SUM(category_name = 'Men''s Clothing')), COUNT(business_id)), 1.0);
Indicate the business id and days which are opened from 8AM to 6PM.
opened from 8AM to 6PM refers to Business_Hours where opening_time = '8AM' and closing_time = '6PM'; days refer to day_id;
closed business refers to active = 'false'; in Avondale refers to city = 'Avondale'; 'wonderful experience' rating refers to stars > 3; percentage = divide(count(business_id where stars > 3), count(business_id))*100%
ID of businesses refers to business_id; reviews with the lowest veracity refers to review_count = 'Low' AND stars > 3; Paradise Valley is a city
opened all the time refers to Business_Hours where day_id BETWEEN 1 and 7 and opening_time = closing_time; ratio can be computed as DIVIDE(COUNT(stars BETWEEN 3.5 and 5), COUNT(stars BETWEEN 1 and 2.5));
medium tip length refers to tip_length = 'Medium'; percentage = divide(count(tips where tip_length = 'Medium'), count(tips))*100%; the time when users join Yelp refers to user_yelping_since_year
long reviews refers to review_length = 'Long'; medium number of useful votes refers to review_votes_useful = 'medium';
ID refers to business_id; category of "Diagnostic Imaging" refers to category_name = 'Diagnostic Imaging';
active business refers to active = 'true'; not in Arizona refers to state ! = 'AZ'; category refers to category_name
Women's clothing refers to category_name = 'Women''s Clothing'; Men's clothing refers to category_name = 'Men''s Clothing'; percentage more = MULTIPLY(DIVIDE(SUBTRACT(SUM(category_name = 'Women''s Clothing'), SUM(category_name = 'Men''s Clothing')), COUNT(business_id)), 1.0);
short tips refers to tip_length = 'short'; most number of short tips refers to MAX(COUNT(tip_length = 'short')); category refers to category_name;
ID number refers to attribute_id
Which business ID has the most reviews?
the most reviews refer to MAX(user_id);
in Glendale refers to city = 'Glendale'
user no.3 refers to user_id = 3; in Arizona refers to state = 'AZ'; stars on average = avg(review_stars(user_id = 3))
medium reviews refers to review_length = 'Medium';
rating more than 2 refers to stars > 2;
business category refers to category_name; most 5 star reviews refers to MAX(COUNT(category_name WHERE star_reviews = 5));
no longer in business refers to active = 'False'; low number of votes useful refers to review_votes_useful = 'Low';
opening times of 7AM and closing times of 8PM refer to Business_Hours where opening_time = '7AM' and closing_time = '8PM'; active business refers to business_id where active = 'true';
photos type compliment refers to compliment_type = 'photos'; high cool votes refers to review_votes_cool = 'High'
active businesses refers to active = 'true'; in Chandler refers to city = 'Chandler'
"Tempe" is the name of city; long review refers to review_length = 'Long'
State the state of businesses which have closing time at 12AM.
state refers to city
closing hours refer to closing_time; business days refer to day_id from Business_Hours;
"cool" type compliments refers to compliment_type = 'cool'; user No. 41717 refers to user_id = 41717
bars refers to category_name = 'Bars';
without attribute refers to attribute_value = 'None'; in Gilbert refers to city = 'Gilbert'
bring their own beer refers to attribute_name = 'BYOB' AND attribute_value = 'TRUE'; Phoenix refers to city = 'Phoenix'; percentage = MULTIPLY(DIVIDE(SUM(city = 'Phoenix'), COUNT(business_id)), 1.0)
in Mesa refers to city = 'Mesa'; alcohol attribute refers to attribute_name = 'Alcohol'
"Gilbert" is the name of city; high review count refers to review_count = 'High'
number of useful votes refers to review_votes_useful; business number refers to business_id;
user's compliment in photo refers to compliment_type = 'photo'; photo has medium in number refers to number_of_compliments = 'Medium'
AVG(user_yelping_since_year) where user_id from Elite;
How many businesses are there in Phoenix city? Find the percentage of businesses in Phoenix city in the total city.
percentage = MULTIPLY(DIVIDE(SUM(city = 'Phoenix' END), COUNT(category_id)), 1.0);
businesses in "Pets" category refers to category_name = 'Pets'; percentage refers to DIVIDE(COUNT(category_name = 'Pets'), COUNT(business_id)) * 100%
users with a high number of fans refers to user_fans = 'High'; 2011 refers to actual_year = 2011; Calculation = DIVIDE(Elite.user_id where user_fans = 'High' AND actual_year = 2011, Elite.user_id where actual_year = 2011) * 100
actively running refers to active = 'TRUE'; Tolleson refers to city = 'Tolleson';
yearly average review = Divide( Count(business_id), Subtract('%Y'(CURRENT_TIME), user_yelping_since_year))
automotive businesses refers to category_name = 'Automotive'; percentage = MULTIPLY(DIVIDE(SUM(category_name = 'Automotive'), COUNT(business_id)), 1.0);
business number refers to business_id;
in Anthem refers to city = 'Anthem'; stars on average = avg(review_stars)
Chinese refers to category_name = 'Chinese'; Filipino refers to category_name = 'Filipino'; how many more = SUBTRACT(SUM(category_name = 'Chinese'), SUM(category_name = 'Filipino'));
"South Carolina" and "California" are both state; average review stars from users = Divide((Sum(review_stars(state = 'SC')) + Sum(review_stars(state = 'CA'))), Sum(stars))
short tips refers to tip_length = 'short'; most number of short tips refers to MAX(COUNT(tip_length = 'short')); category refers to category_name;
How long does business number 12 in Scottsdale stay open on day number 3?
business number refers to business_id; Scottsdale refers to city = 'Scottsdale'; day number refers to day_id;
businesses have the category named food refer to business_id where category_name = 'Food'; DIVIDE(COUNT(business_id where category_name = 'Food' and stars < 2), COUNT(business_id where category_name = 'Food')) as percentage;
medium reviews refers to review_length = 'Medium';
low number of compliments refers to number_of_compliments = 'Low'; percentage refers to DIVIDE(COUNT(number_of_compliments = 'Low'), COUNT(user_id)) * 100
medium refers to number_of_compliments = 'Medium';
Scottsdale refers to city = 'Scottsdale'; positive comments refers to stars > 3; Elitestar rating refers to stars;
the ID refers to business_id; active status refers to active; active = 'true' means the business is still running; active = 'false' means the business is closed or not running now
percentage refers to DIVIDE(COUNT(attribute_name = 'Accepts Credit Cards'), COUNT(business_id))*100%
business no. 14033 refers to business_id = 14033; good for supper refers to attribute_name = 'good_for_dinner'
long reviews refers to review_length = 'long'; most number of long reviews refers to MAX(COUNT(review_length = 'long')); average ratings = AVG(review_stars);
opening hours 10AM on Saturday refer to Business_Hours where opening_time = '10AM' and day_id = 6;
Who has got the most number of "funny" type of compliments? Give the user ID.
type of compliments refers to compliment_type; most number of funny type of compliments refers to MAX(COUNT(number of compliments = 'high' WHERE compliment_type = 'funny'));
long tip refers to tip_length = 'Long'; 2 likes refers to likes = 2; high number of fans refers to user_fans = 'High'
beer_and_wine refers to attribute_value = 'beer_and_wine';
user numbers refers to user_id; Uber number refers to number_of_compliments = 'Uber'; cute compliments refers to compliment_type = 'cute';
with great experience refers to stars = 5
users refer to user_id; uber votes for all of the review category refer to review_votes_funny = 'uber' AND review_votes_useful = 'uber' AND review_votes_cool = 'uber';
opened all the time refers to Business_Hours where day_id BETWEEN 1 and 7 and opening_time = closing_time;
Yelp_Business no.1 refers to business_id = 1
under the category of "Food" refers to category_name = 'Food'; are good for kids refers to attribute_name = 'Good for Kids' and attribute_value = 'true'
average ratings of at least 4 refers to user_average_stars > = 4; no fans or followers refers to user_fans = 'None'; percentage = divide(count(user_id where user_average_stars > = 4 and user_fans = 'None'), sum(user_id where user_average_stars > = 4))*100%
AVG(user_yelping_since_year) where user_id from Elite;
Among the long reviews made by user ID 3, how many of them have received a medium number of useful votes?
long reviews refers to review_length = 'Long'; medium number of useful votes refers to review_votes_useful = 'medium';
active business refers to active = 'true'; 'AZ' is the state; high review count refers to review_count = 'High'
businesses have the category named food refer to business_id where category_name = 'Food'; DIVIDE(COUNT(business_id where category_name = 'Food' and stars < 2), COUNT(business_id where category_name = 'Food')) as percentage;
Yelp_Business no.1 refers to business_id = 1
ID of businesses refers to business_id; reviews with the lowest veracity refers to review_count = 'Low' AND stars > 3; Paradise Valley is a city
under the category "Food" refers to category_name = 'Food'
;
DIVIDE(COUNT(business_id where category_name = 'Food' and opening_time = '7AM' and closing_time = '8PM'), COUNT(business_id where opening_time = '7AM' and closing_time = '8PM')) as percentage;
bring their own beer refers to attribute_name = 'BYOB' AND attribute_value = 'TRUE'; Phoenix refers to city = 'Phoenix'; percentage = MULTIPLY(DIVIDE(SUM(city = 'Phoenix'), COUNT(business_id)), 1.0)
running business refers to business where active = 'true';
on Sunday refers to day_of_week = 'Sunday'
How many "5" star reviews does the Yelp business No. "10682" get?
5 star reviews refers to review_stars = 5; business No. refers to business_id;
actively running refers to active = 'true';
long tip refers to tip_length = 'Long'; 2 likes refers to likes = 2; high number of fans refers to user_fans = 'High'
Scottsdale refers to city = 'Scottsdale'; positive comments refers to stars > 3; Elitestar rating refers to stars;
ID of businesses refers to business_id; reviews with the lowest veracity refers to review_count = 'Low' AND stars > 3; Paradise Valley is a city
the most common type of compliments refers to MAX(COUNT(compliment_type))
less than 5 low compliment refers to number_of_compliments < 5
best elite refers to user_average_stars = 5; worse eliter refers to user_average_stars = 1: in 2013 refers to year_id = 2013; ratio = Divide(Count(user_id(user_average_stars = 5)),  Count(user_id(user_average_stars = 1)))
longest business time refers to max(subtract(closing_time, opening_time)); on Mondays refers to day_of_week = 'Monday';  category "Shopping" refers to category_name = 'Shopping'
medium length of review refers to review_length = 'Medium'
percentage refers to DIVIDE(COUNT(attribute_name = 'Accepts Credit Cards'), COUNT(business_id))*100%
How many Yelp_Business in Arizona has user no. 3 reviewed?
in Arizona refers to state = 'AZ'; user no. 3 refers to user_id = 3
1 pm refers to opening_time = '1PM'; 6 pm refers to closing_time = '6PM'; on Saturday refers to day_of_week = 'Saturday'
most popular and appealing refers to review_count = 'High' and max(stars); active business refers to active = 'true'; in Gilbert refers to city = 'Gilbert'
the ID refers to business_id; active status refers to active; active = 'true' means the business is still running; active = 'false' means the business is closed or not running now
short length of review refers to review_length = 'Short'; in Phoenix refers to city = 'Phoenix'
active business refers to active = 'true': 'Mesa' is the name of city; 'AZ' is the state; low review count refers to review_count = 'Low'; category refers to category_name
name of business refers to category_name;
average star less than 3 stars refers to user_average_stars < 3; in 2012 refers to user_yelping_since_year = 2012
;
since year 2012 refers to user_yelping_since_year = '2012'
opened for 24/7 refers to Business_Hours WHERE opening_time = closing_time and business_id COUNT(day_id) = 7; business attribute refers to attribute_name
How many users manage to get uber votes for all of the review category? Find out what are the user average star.
users refer to user_id; uber votes for all of the review category refer to review_votes_funny = 'uber' AND review_votes_useful = 'uber' AND review_votes_cool = 'uber';
on Sunday refers to day_of_week = 'Sunday'
businesses have the category named food refer to business_id where category_name = 'Food'; DIVIDE(COUNT(business_id where category_name = 'Food' and stars < 2), COUNT(business_id where category_name = 'Food')) as percentage;
since year 2012 refers to user_yelping_since_year = '2012'
business no. 14033 refers to business_id = 14033; good for supper refers to attribute_name = 'good_for_dinner'
"ambience_romantic" attribute refers to attribute_name = 'ambience_romantic' AND attribute_value = 'true'
more appealing to users refers to MAX(review_count);
ratio = divide(count(business_id where category_name = 'Shopping'), count(business_id where category_name = 'Pets'))
opened during late afternoon refers to Business_Hours where opening_time ≥ '5PM'; active businesses refer to business_id where active = 'true';
attribute_value = 'beer_and_wine'
ID of businesses refers to business_id; reviews with the lowest veracity refers to review_count = 'Low' AND stars > 3; Paradise Valley is a city
How many businesses are actively running in Gilbert City?
actively running refers to active = 'true';
category of food refers to category_name = 'Food'; calculation = DIVIDE(COUNT(stars > 3), SUM(stars))
active business ID refers to active = 'true'; category of Food refers to category_name = 'Food'; attribute of BYOB refers to attribute_name = 'BYOB'; high review count refers to review_count = 'High'
high review count refers to review_count = 'High'; received 2 stars refers to stars = 2; category refers to category_name
active business refers to active = 'true'; 'Wi-Fi' is the attribute_name; medium review count refers to review_count = 'Medium'
Tempe is a city; high review count refers to review_count = 'High'
closed at 8PM refers to closing_time = '8PM';
categories refers to category_name; Yelp_Business no.1 refers to business_id = 1
bars refers to category_name = 'Bars';
opening hours refers to opening_time; earlier than 8AM refers to opening_time < '8AM';
"Good for Kids" attribute refers to attribute_name = 'Good for Kids' AND attribute_value = 'true'; Calculation = DIVIDE(SUM(attribute_name = 'Good for Kids' AND attribute_value = 'true')), SUM(business_id) * 100
In which year did the user who has given the most number of "short" tips join the Yelp?
year the user join the Yelp refers to user_yelping_since_year; most number of short tips refers to MAX(COUNT(tip_length = 'Short'));
good for kids refers to attribute_name = 'Good for Kids' and attribute_value = 'true'
attribute numbers refers to attribute_id; related to payment refers to attribute_name like '%payment%';
'Phoenix' is the city; waiter service refers to attribute_name = 'waiter_services'
days from Monday to Saturday refer to day_id between 2 and 7; work the most days can be computed as MAX(COUNT(category_name where day_id between 2 and 7));
short comment refers to tip_length = 'Short'; users who joined in 2010 refer to user_id where user_yelping_since_year = 2010;
categories refers to category_name
bring their own beer refers to attribute_name = 'BYOB' AND attribute_value = 'TRUE'; Phoenix refers to city = 'Phoenix'; percentage = MULTIPLY(DIVIDE(SUM(city = 'Phoenix'), COUNT(business_id)), 1.0)
categories refers to category_name; closes at 12PM refers to closing_time = '12PM'; on Sundays refers to day_of_week = 'Sunday'
5-star refers to stars = 5; in Ahwatukee refers to city = 'Ahwatukee'; business category refers to category_name
Yelp_Business no.1 refers to business_id = 1
Among all closed businesses in Avondale, AZ what percent have obtained a 'wonderful experience' rating of the business.
closed business refers to active = 'false'; in Avondale refers to city = 'Avondale'; 'wonderful experience' rating refers to stars > 3; percentage = divide(count(business_id where stars > 3), count(business_id))*100%
ratio = divide(count(business_id where category_name = 'Shopping'), count(business_id where category_name = 'Pets'))
operating hours refers to opening_time closing_time on day_id; in Black Canyon City refers to city = 'Black Canyon City'; greater than average refers to review_count > AVG(T1.review_count)
bars refers to category_name = 'Bars';
joined yelp since 2004 refers to user_yelping_since_year = 2004;
since year 2005 refers to year_id Between 2005 and 2014; increment percentage = Divide(Count(user_id(year_id < 2014)), Count (user_id(year_id = 2015))) * 100
posted more than 10 reviews refers to count(Reviews.user_id) > 10
active business ID refers to active = 'true'; categories refers to category_name; Glendale is a city; AZ is a state
in Anthem refers to city = 'Anthem'; stars on average = avg(review_stars)
"ambience_romantic" attribute refers to attribute_name = 'ambience_romantic' AND attribute_value = 'true'
in Mesa refers to city = 'Mesa'; alcohol attribute refers to attribute_name = 'Alcohol'
Sum up the likes get by short reviews on businesses located in City Goodyear.
short reviews refer to tip_length = 'Short';
closed business refers to active = 'false'; in Avondale refers to city = 'Avondale'; 'wonderful experience' rating refers to stars > 3; percentage = divide(count(business_id where stars > 3), count(business_id))*100%
business no. 14033 refers to business_id = 14033; good for supper refers to attribute_name = 'good_for_dinner'
attribute_value = 'beer_and_wine'
running business refers to business where active = 'true';
active business refers to active = 'true'; not in Arizona refers to state ! = 'AZ'; category refers to category_name
business time of longer than 12 hours refers to subtract(closing_time, opening_time) > 12; on Sundays refers to day_of_week = 'Sunday'
9 am refers to opening_time = '9AM'; 9 pm refers to closing_time = '9PM'; every Saturday refers to day_of_week = 'Saturday'; location refers to city
active businesses refers to active = 'true'; in Tempe refers to city = 'Tempe'; with stars greater than the 70% of average age of star rating refers to stars > DIVIDE(sum(stars), COUNT(business_id)) * 70%
in Anthem refers to city = 'Anthem'; stars on average = avg(review_stars)
days from Monday to Saturday refer to day_id between 2 and 7; work the most days can be computed as MAX(COUNT(category_name where day_id between 2 and 7));
Is the Yelp business No. 14033 good for supper?
business no. 14033 refers to business_id = 14033; good for supper refers to attribute_name = 'good_for_dinner'
ID refers to business_id; category of "Diagnostic Imaging" refers to category_name = 'Diagnostic Imaging';
active businesses refers to active = 'true'; AZ is a state; medium review count refers to review_count = 'Medium'
more appealing to users refers to MAX(review_count);
active business refers to active = 'true'; Casa Grande refers to city = 'Casa Grande'
users with a high number of fans refers to user_fans = 'High'; 2011 refers to actual_year = 2011; Calculation = DIVIDE(Elite.user_id where user_fans = 'High' AND actual_year = 2011, Elite.user_id where actual_year = 2011) * 100
long reviews refers to review_length = 'long'; most number of long reviews refers to MAX(COUNT(review_length = 'long')); category refers to category_name;
in Chandelier refers to city = 'Chandelier'; percentage = divide(count(business_id where review_votes_funny = 'Low'), count(business_id)); business with low funny votes refers to review_votes_funny = 'Low'
1 pm refers to opening_time = '1PM'; 6 pm refers to closing_time = '6PM'; on Saturday refers to day_of_week = 'Saturday'
"cool" type compliments refers to compliment_type = 'cool'; user No. 41717 refers to user_id = 41717
businesses in Arizona refer to business_id where state = 'Arizona'; average review less than 3 stars refers to AVG(review_stars) < 3.0;
How many user's compliment in photo has medium in number?
user's compliment in photo refers to compliment_type = 'photo'; photo has medium in number refers to number_of_compliments = 'Medium'
low cool vote for user refers to user_votes_cool = 'Low';  low cool vote for review refers to review_votes_cool = 'Low'
open 24 hours refers to attribute_name = 'Open 24 Hours' AND attribute_value = 'true'; rating refers to stars; average rating = AVG(stars);
close after 8PM refers to closing_time = '9PM' or closing_time = '10PM' closing_time = '11PM' closing_time = '12PM'; Mondays refers to day_of_week = 'Monday'
short tip refers to tip_length = 'Short'; business category refers to category_name
users refer to user_id; review_votes_funny = 'uber';
opened for 24/7 refers to Business_Hours WHERE opening_time = closing_time and business_id COUNT(day_id) = 7; business attribute refers to attribute_name
active business refers to active = 'true'; not in Arizona refers to state ! = 'AZ'; category refers to category_name
started using Yelp since 2004 refers to user_yelping_since_year = '2004'; had high followers refers to user_fans = 'High'
opening hours before 7AM refer to opening_time < '7AM'; businesses refer to business_id;
active businesses refers to active = 'true'; Phoenix refers to city = 'Phoenix';
How long was the review for business number 2 that user number 612 wrote?
how long was the review refers to review_length; business number refers to business_id; user number refers to user_id;
year with yelp = Subtract ('%Y'(CURRENT TIME), user_yelping_since_year)
short length of review refers to review_length = 'Short'; in Phoenix refers to city = 'Phoenix'
days from Monday to Saturday refer to day_id between 2 and 7; work the most days can be computed as MAX(COUNT(category_name where day_id between 2 and 7));
low number of compliments refers to number_of_compliments = 'Low'; percentage refers to DIVIDE(COUNT(number_of_compliments = 'Low'), COUNT(user_id)) * 100
active businesses refers to active = 'true'; underrated refers to review_count = 'Low';
uber number of fans refers to user_fans = 'uber';
long tip refers to tip_length = 'Long'; 2 likes refers to likes = 2; high number of fans refers to user_fans = 'High'
actively running refers to active = 'TRUE'; Tolleson refers to city = 'Tolleson';
business No. refers to business_id; have TV refers to attribute_name = 'Has TV';
automotive businesses refers to category_name = 'Automotive'; percentage = MULTIPLY(DIVIDE(SUM(category_name = 'Automotive'), COUNT(business_id)), 1.0);
List out which business category that are most likely to have average good review in Arizona?
average good review refers to review_count > = 3; Arizona refers to state = 'AZ'; business category refers to category_name
in 2012 refers to actual_year = 2012;
operating hours refers to opening_time closing_time on day_id; in Black Canyon City refers to city = 'Black Canyon City'; greater than average refers to review_count > AVG(T1.review_count)
music_karaoke attribute refers to attribute_name = 'music_karaoke' AND attribute_value = 'true'; businesses are closed refers to active = 'false'
12 am refers to opening_time = '12AM'; 1 am refers to closing_time = '1AM'; on Saturday refers to day_of_week = 'Saturday'
active business refers to active = 'true'; Casa Grande refers to city = 'Casa Grande'
good for kids refers to attribute_name = 'Good for Kids' and attribute_value = 'true'
short length of review refers to review_length = 'Short'; in Phoenix refers to city = 'Phoenix'
active businesses refers to active = 'true'; AZ is a state; medium review count refers to review_count = 'Medium'
"Hotel & Travel" is the category_name; most review refers to Max(Count(category_id)); Average star per user = Divide (Sum (review_stars), Count(user_id))
bring their own beer refers to attribute_name = 'BYOB' AND attribute_value = 'TRUE'; Phoenix refers to city = 'Phoenix'; percentage = MULTIPLY(DIVIDE(SUM(city = 'Phoenix'), COUNT(business_id)), 1.0)
How many "cool" type compliments does user No. 41717 get?
"cool" type compliments refers to compliment_type = 'cool'; user No. 41717 refers to user_id = 41717
businesses in "Pets" category refers to category_name = 'Pets'; percentage refers to DIVIDE(COUNT(category_name = 'Pets'), COUNT(business_id)) * 100%
low number of compliments refers to number_of_compliments = 'Low'; percentage refers to DIVIDE(COUNT(number_of_compliments = 'Low'), COUNT(user_id)) * 100
high compliments refers to number_of_compliments = 'High'; type in photo refers to compliment_ID = 1
average ratings of at least 4 refers to user_average_stars > = 4; no fans or followers refers to user_fans = 'None'; percentage = divide(count(user_id where user_average_stars > = 4 and user_fans = 'None'), sum(user_id where user_average_stars > = 4))*100%
opening hours refers to opening_time; category refers to category_name;
DIVIDE(COUNT(business_id where review_count = 'Low' and active = 'true'), COUNT(business_id where review_count = 'Low' and active = 'false'));
how much time does this business open refers to SUBTRACT(closing_time, opening_time); DIVIDE(SUM(SUBTRACT(closing_time, opening_time)), SUM(Business.business_id))
Arizona refers to state = 'AZ'; Elitestar rating of over 4 refers to stars > 4;
more appealing to users refers to MAX(review_count);
open 24 hours refers to attribute_name = 'Open 24 Hours' AND attribute_value = 'true'; rating refers to stars; average rating = AVG(stars);
How many businesses in Glendale are reviewed by user with the ID of 20241?
in Glendale refers to city = 'Glendale'
days from Monday to Saturday refer to day_id between 2 and 7; work the most days can be computed as MAX(COUNT(category_name where day_id between 2 and 7));
elite user for consecutively 5 years or more refers to user_id COUNT(year_id) > 5; Average star = AVG(likes)
located in Phoenix refers to city = 'Phoenix'; Arizona refers to state = 'AZ'
"Gilbert" is the name of city; high review count refers to review_count = 'High'
active business ID refers to active = 'true'; category of Food refers to category_name = 'Food'; attribute of BYOB refers to attribute_name = 'BYOB'; high review count refers to review_count = 'High'
"Good for Groups" and "Good for Dancing" are attribute_name; active business refers to active = true'
average good review refers to review_count > = 3; Arizona refers to state = 'AZ'; business category refers to category_name
active business refers to active = 'true'; 'Pets' is the category_name
average review = Divide(Count(user_id), Count(business_id))
business which received the most likes refers to business_id where MAX(likes);
Which businesses with the category name Accessories have opening hours before 7AM?
opening hours before 7AM refer to opening_time < '7AM'; businesses refer to business_id;
average review = Divide(Count(user_id), Count(business_id))
opened during late afternoon refers to Business_Hours where opening_time ≥ '5PM'; active businesses refer to business_id where active = 'true';
location of businesses refers to city and state; business hours from 8 am to 9 pm refers to opening_time = '8AM', closing_time = '9PM'; every Friday refers to day_of_week = 'Friday'
highest review count refers to review_count = 'Uber'; average business review stars = Divide (Sum(review_stars), Count(user_id))
"cool" type compliments refers to compliment_type = 'cool'; user No. 41717 refers to user_id = 41717
'Phoenix' is the city; waiter service refers to attribute_name = 'waiter_services'
"Gilbert" is the name of city; highest star rating refers to Max(stars)
became an elite user the same year they joined Yelp refers to user_yelping_since_year = year_id
yearly average review = Divide( Count(business_id), Subtract('%Y'(CURRENT_TIME), user_yelping_since_year))
under the category "Food" refers to category_name = 'Food'
List the closing time and day of week of active businesses in Scottsdale with stars greater than the 60% of average age of star rating.
active business refers to active = 'true';  'Scottsdale' is the name of city; stars greater than the 60% of average age of star rating refers to stars  > avg(stars) * 60%
business that accept insurance refers to attribute_name = 'Accepts Insurance' AND attribute_value = 'true'
in Chandler refers to city = 'Chandler'; attribute refers to attribute_name
business number refers to business_id; business_id = 2; does not have refers to attribute_value = 'none';
1 pm refers to opening_time = '1PM'; 6 pm refers to closing_time = '6PM'; on Saturday refers to day_of_week = 'Saturday'
medium tip length refers to tip_length = 'Medium'; percentage = divide(count(tips where tip_length = 'Medium'), count(tips))*100%; the time when users join Yelp refers to user_yelping_since_year
since year 2005 refers to year_id Between 2005 and 2014; increment percentage = Divide(Count(user_id(year_id < 2014)), Count (user_id(year_id = 2015))) * 100
DIVIDE(COUNT(business_id where category_name = 'Food' and opening_time = '7AM' and closing_time = '8PM'), COUNT(business_id where opening_time = '7AM' and closing_time = '8PM')) as percentage;
DIVIDE(COUNT(business_id where review_count = 'Low' and active = 'true'), COUNT(business_id where review_count = 'Low' and active = 'false'));
name of business refers to category_name;
located in "Phoenix" refers to city = 'Phoenix'; received a "5" star review refers to review_stars = '5'; "uber" number of votes for funny refers to review_votes_funny = 'Uber'
List at least 5 users that has received less than 5 low compliments from other users.
less than 5 low compliment refers to number_of_compliments < 5
how much time does this business open refers to SUBTRACT(closing_time, opening_time); DIVIDE(SUM(SUBTRACT(closing_time, opening_time)), SUM(Business.business_id))
active businesses refers to active = 'true'; attribute of caters refers to attribute_name = 'Caters'
ID refers to business_id; category of "Diagnostic Imaging" refers to category_name = 'Diagnostic Imaging';
businesses refer to business_id; review_stars = 5.0; review_votes_funny = 'uber';
Yelp_Business no.1 refers to business_id = 1; on weekends refers to day_of_week = 'Saturday' or day_of_week = 'Sunday'; average business time refers to DIVIDE(SUBTRACT(closing_time, opening_time), 2)
average review = Divide(Count(user_id), Count(business_id))
joined yelp since 2004 refers to user_yelping_since_year = 2004;
opening hours refers to opening_time; category refers to category_name;
active businesses refers to active = 'true'; Phoenix refers to city = 'Phoenix';
"Hotel & Travel" is the category_name; most review refers to Max(Count(category_id)); Average star per user = Divide (Sum (review_stars), Count(user_id))
How many Yelp businesses are there in 'AZ' with less than "3" stars?
AZ refers to state = 'AZ'; stars < 3;
highest review count refers to review_count = 'Uber'; average business review stars = Divide (Sum(review_stars), Count(user_id))
photos type compliment refers to compliment_type = 'photos'; high cool votes refers to review_votes_cool = 'High'
state refers to city
state refers to city
active business refers to active = 'true'; Casa Grande refers to city = 'Casa Grande'
5-star refers to stars = 5; in Ahwatukee refers to city = 'Ahwatukee'; business category refers to category_name
year the user join the Yelp refers to user_yelping_since_year; most number of short tips refers to MAX(COUNT(tip_length = 'Short'));
user no.3 refers to user_id = 3; in Arizona refers to state = 'AZ'; stars on average = avg(review_stars(user_id = 3))
active business ID refers to active = 'true'; category of Food refers to category_name = 'Food'; attribute of BYOB refers to attribute_name = 'BYOB'; high review count refers to review_count = 'High'
started using Yelp since 2004 refers to user_yelping_since_year = '2004'; had high followers refers to user_fans = 'High'
Among the working days from Monday to Saturday, which businesses with the category names work the most days?
days from Monday to Saturday refer to day_id between 2 and 7; work the most days can be computed as MAX(COUNT(category_name where day_id between 2 and 7));
in Anthem refers to city = 'Anthem'; the category of "Food" refers to category_name = 'Food'
location of businesses refers to city and state; business hours from 8 am to 9 pm refers to opening_time = '8AM', closing_time = '9PM'; every Friday refers to day_of_week = 'Friday'
rating refers to stars; inactive refers to active = 'False'; average rating of inactive businesses = DIVIDE(SUM(stars), COUNT(business_id));
the ID refers to business_id; active status refers to active; active = 'true' means the business is still running; active = 'false' means the business is closed or not running now
Tempe is a city; high review count refers to review_count = 'High'
"Shopping Centers" is the category_name; high review count refers to review_count = 'High'
user yelping since 2010 to 2012 refers to user_yelping_since_year > = '2010' AND user_yelping_since_year < '2013'; low fans refers to user_fans = 'Low'
businesses refer to business_id; review_stars = 5.0; review_votes_funny = 'uber';
ratio = divide(count(business_id where category_name = 'Shopping'), count(business_id where category_name = 'Pets'))
"Tempe" is the name of city; long review refers to review_length = 'Long'
Indicate the opening hours of businesses are with category in fashion.
opening hours refers to opening_time; category refers to category_name;
category of businesses refers to category_name; stars ratings are 5 refers to stars = 5
bring their own beer refers to attribute_name = 'BYOB' AND attribute_value = 'TRUE'; Phoenix refers to city = 'Phoenix'; percentage = MULTIPLY(DIVIDE(SUM(city = 'Phoenix'), COUNT(business_id)), 1.0)
Tempe is a city; high review count refers to review_count = 'High'
short tip refers to tip_length = 'Short'; business category refers to category_name
year with yelp = Subtract ('%Y'(CURRENT TIME), user_yelping_since_year)
"cool" type compliments refers to compliment_type = 'cool'; user No. 41717 refers to user_id = 41717
can be attributed to 'Good for Kids' refers to attribute_name = 'Good for Kids' and attribute_value = 'true'
"South Carolina" and "California" are both state; average review stars from users = Divide((Sum(review_stars(state = 'SC')) + Sum(review_stars(state = 'CA'))), Sum(stars))
type of compliments refers to compliment_type; most number of funny type of compliments refers to MAX(COUNT(number of compliments = 'high' WHERE compliment_type = 'funny'));
in Anthem refers to city = 'Anthem'; stars on average = avg(review_stars)
What is the total number of active business in AZ with a high review count?
active business refers to active = 'true'; 'AZ' is the state; high review count refers to review_count = 'High'
9 am refers to opening_time = '9AM'; 9 pm refers to closing_time = '9PM'; every Saturday refers to day_of_week = 'Saturday'; location refers to city
cool compliments refers to compliment_type = 'cool'; user number refers to user_id;
active businesses refers to active = 'true'; located at Chandler, AZ refers to city = 'Chandler', state = 'AZ'; category refers to category_name; atrributes refers to attribute_name
users who started yelping in 2012 refers to user_yelping_since_year = '2012'; high number of funny votes refers to user_votes_funny = 'High';
active business refers to active = 'true'; 'Pets' is the category_name
1 pm refers to opening_time = '1PM'; 6 pm refers to closing_time = '6PM'; on Saturday refers to day_of_week = 'Saturday'
long tip refers to tip_length = 'Long'; 2 likes refers to likes = 2; high number of fans refers to user_fans = 'High'
open 24 hours refers to attribute_name = 'Open 24 Hours' AND attribute_value = 'true'; rating refers to stars; average rating = AVG(stars);
;
do not provide alcohol refers to attribute_name = 'Alcohol'and attribute_value = 'none'
What percentage more for the "Women's Clothing" Yelp businesses to "Men's Clothing"?
Women's clothing refers to category_name = 'Women''s Clothing'; Men's clothing refers to category_name = 'Men''s Clothing'; percentage more = MULTIPLY(DIVIDE(SUBTRACT(SUM(category_name = 'Women''s Clothing'), SUM(category_name = 'Men''s Clothing')), COUNT(business_id)), 1.0);
are still running refers to active = 'true'; the category of "Food" refers to category_name = 'Food'
high compliments refers to number_of_compliments = ' High'; joined Yelp earliest refers to min(user_yelping_since_year)
opened during late afternoon refers to Business_Hours where opening_time ≥ '5PM'; active businesses refer to business_id where active = 'true';
attribute_value = 'beer_and_wine'
;
in Arizona refers to state = 'AZ'; user no. 3 refers to user_id = 3
state refers to city
in 2012 refers to actual_year = 2012;
type of compliments refers to compliment_type; user No. refers to user_id;
category of mexican refers to category_name = 'Mexican'; star rating below 4 refers to stars < 4
Among the businesses in Tempe, list the attribute of the business with a medium review count.
Tempe is a city; high review count refers to review_count = 'High'
opened from 8AM to 6PM refers to Business_Hours where opening_time = '8AM' and closing_time = '6PM'; days refer to day_id;
yearly average review = Divide( Count(business_id), Subtract('%Y'(CURRENT_TIME), user_yelping_since_year))
Sunday refers to day_of_week = 'Sunday' where day_id = 1; category of Arts & Entertainment refers to category_name = 'Arts & Entertainment';
medium refers to number_of_compliments = 'Medium';
users with a high number of fans refers to user_fans = 'High'; 2011 refers to actual_year = 2011; Calculation = DIVIDE(Elite.user_id where user_fans = 'High' AND actual_year = 2011, Elite.user_id where actual_year = 2011) * 100
cool compliments refers to compliment_type = 'cool'; user number refers to user_id;
opening hours refers to opening_time; earlier than 8AM refers to opening_time < '8AM';
short reviews refer to tip_length = 'Short';
long reviews refers to review_length = 'long'; most number of long reviews refers to MAX(COUNT(review_length = 'long')); category refers to category_name;
active business ID refers to active = 'true'; category of Food refers to category_name = 'Food'; attribute of BYOB refers to attribute_name = 'BYOB'; high review count refers to review_count = 'High'
Please list the cities of the Yelp_Businesses that have gotten a 5 in the Elitestar rating.
5 in the Elitestar rating refers to stars = 5;
ratio = divide(count(business_id where category_name = 'Shopping'), count(business_id where category_name = 'Pets'))
in Mesa refers to city = 'Mesa'; alcohol attribute refers to attribute_name = 'Alcohol'
opening hours 10AM on Saturday refer to Business_Hours where opening_time = '10AM' and day_id = 6;
low cool vote for user refers to user_votes_cool = 'Low';  low cool vote for review refers to review_votes_cool = 'Low'
"Shopping Centers" is the category_name; high review count refers to review_count = 'High'
year with yelp = Subtract ('%Y'(CURRENT TIME), user_yelping_since_year)
in Anthem refers to city = 'Anthem'; the category of "Food" refers to category_name = 'Food'
long reviews refers to review_length = 'Long'; medium number of useful votes refers to review_votes_useful = 'medium';
5 star reviews refers to review_stars = 5; business No. refers to business_id;
;
How many Yelp_Businesses in Scottsdale have received positive comments in the Elitestar rating?
Scottsdale refers to city = 'Scottsdale'; positive comments refers to stars > 3; Elitestar rating refers to stars;
12 am refers to opening_time = '12AM'; 1 am refers to closing_time = '1AM'; on Saturday refers to day_of_week = 'Saturday'
high compliments refers to number_of_compliments = 'High'; type in photo refers to compliment_ID = 1
medium tip length refers to tip_length = 'Medium'; percentage = divide(count(tips where tip_length = 'Medium'), count(tips))*100%; the time when users join Yelp refers to user_yelping_since_year
rating refers to stars; inactive refers to active = 'False'; average rating of inactive businesses = DIVIDE(SUM(stars), COUNT(business_id));
businesses in Arizona refer to business_id where state = 'Arizona'; average review less than 3 stars refers to AVG(review_stars) < 3.0;
more appealing to users refers to MAX(review_count);
in Anthem refers to city = 'Anthem'; stars on average = avg(review_stars)
active business refers to active = 'true': 'Mesa' is the name of city; 'AZ' is the state; low review count refers to review_count = 'Low'; category refers to category_name
businesses have the category named food refer to business_id where category_name = 'Food'; DIVIDE(COUNT(business_id where category_name = 'Food' and stars < 2), COUNT(business_id where category_name = 'Food')) as percentage;
active businesses refers to active = 'true'; located at Chandler, AZ refers to city = 'Chandler', state = 'AZ'; category refers to category_name; atrributes refers to attribute_name
How many users who started yelping since 2012 have sent a high number of funny votes?
users who started yelping in 2012 refers to user_yelping_since_year = '2012'; high number of funny votes refers to user_votes_funny = 'High';
name of business refers to category_name;
more appealing to users refers to MAX(review_count);
active businesses refers to active = 'true'; located at Chandler, AZ refers to city = 'Chandler', state = 'AZ'; category refers to category_name; atrributes refers to attribute_name
type of compliments refers to compliment_type; most number of funny type of compliments refers to MAX(COUNT(number of compliments = 'high' WHERE compliment_type = 'funny'));
open 24 hours refers to attribute_name = 'Open 24 Hours' AND attribute_value = 'true'; rating refers to stars; average rating = AVG(stars);
DIVIDE(COUNT(business_id where review_count = 'Low' and active = 'true'), COUNT(business_id where review_count = 'Low' and active = 'false'));
good for kids refers to attribute_name = 'Good for Kids' and attribute_value = 'true'
attribute_value = 'beer_and_wine'
business no. 14033 refers to business_id = 14033; good for supper refers to attribute_name = 'good_for_dinner'
became an elite user the same year they joined Yelp refers to user_yelping_since_year = year_id
List the categories of all active businesses that were not in Arizona.
active business refers to active = 'true'; not in Arizona refers to state ! = 'AZ'; category refers to category_name
"cool" type compliments refers to compliment_type = 'cool'; user No. 41717 refers to user_id = 41717
long reviews refers to review_length = 'long'; most number of long reviews refers to MAX(COUNT(review_length = 'long')); category refers to category_name;
active business refers to active = 'true'; Casa Grande refers to city = 'Casa Grande'
Yelp_Business no.1 refers to business_id = 1; open on refers to opening_time; Tuesdays refers to day_of_week = 'Tuesday'
category refers to category_name
medium length tip refers to tip_length = 'Medium';
categories refers to category_name
attribute_value = 'beer_and_wine'
beer_and_wine refers to attribute_value = 'beer_and_wine';
how long was the review refers to review_length; business number refers to business_id; user number refers to user_id;
What are the categories that business number 15 belongs to?
business number refers to business_id;
Women's clothing refers to category_name = 'Women''s Clothing'; Men's clothing refers to category_name = 'Men''s Clothing'; percentage more = MULTIPLY(DIVIDE(SUBTRACT(SUM(category_name = 'Women''s Clothing'), SUM(category_name = 'Men''s Clothing')), COUNT(business_id)), 1.0);
medium tip length refers to tip_length = 'Medium'; percentage = divide(count(tips where tip_length = 'Medium'), count(tips))*100%; the time when users join Yelp refers to user_yelping_since_year
in Tempe refers to city = 'Tempe'; rated as 'Wonderful experience refers to stars > 3
active businesses refers to active = 'true'; Phoenix refers to city = 'Phoenix';
highest number of reviews refers to SUBTRACT(MAX(COUNT(business_id), MIN(COUNT(business_id))))
in Arizona refers to state = 'AZ'; closes at 12PM refers to closing_time = '12PM'; on Sundays refers to day_of_week = 'Sunday'
do not have fans refers to user_fans = 'None'; high number of compliment refers to number_of_compliments = 'High'
in Chandelier refers to city = 'Chandelier'; percentage = divide(count(business_id where review_votes_funny = 'Low'), count(business_id)); business with low funny votes refers to review_votes_funny = 'Low'
10 am refers to opening_time = '10AM'; 12 pm refers to closing_time = '12PM'; on Sunday refers to day_of_week = 'Sunday'
businesses have the category named food refer to business_id where category_name = 'Food'; DIVIDE(COUNT(business_id where category_name = 'Food' and stars < 2), COUNT(business_id where category_name = 'Food')) as percentage;
Count the active businesses that has an attribute of Wi-Fi with medium review count.
active business refers to active = 'true'; 'Wi-Fi' is the attribute_name; medium review count refers to review_count = 'Medium'
rating refers to stars; inactive refers to active = 'False'; average rating of inactive businesses = DIVIDE(SUM(stars), COUNT(business_id));
the most reviews refer to MAX(user_id);
;
business time of longer than 12 hours refers to subtract(closing_time, opening_time) > 12; on Sundays refers to day_of_week = 'Sunday'
business number refers to business_id; business_id = 2; does not have refers to attribute_value = 'none';
automotive businesses refers to category_name = 'Automotive'; percentage = MULTIPLY(DIVIDE(SUM(category_name = 'Automotive'), COUNT(business_id)), 1.0);
with great experience refers to stars = 5
uber number of fans refers to user_fans = 'uber';
category of food refers to category_name = 'Food'; calculation = DIVIDE(COUNT(stars > 3), SUM(stars))
close after 8PM refers to closing_time = '9PM' or closing_time = '10PM' closing_time = '11PM' closing_time = '12PM'; Mondays refers to day_of_week = 'Monday'
In which categories does the only business located in the city of Arcadia appear?
categories refers to category_name
Women's clothing refers to category_name = 'Women''s Clothing'; Men's clothing refers to category_name = 'Men''s Clothing'; percentage more = MULTIPLY(DIVIDE(SUBTRACT(SUM(category_name = 'Women''s Clothing'), SUM(category_name = 'Men''s Clothing')), COUNT(business_id)), 1.0);
type of compliments refers to compliment_type; most number of funny type of compliments refers to MAX(COUNT(number of compliments = 'high' WHERE compliment_type = 'funny'));
low number of compliments refers to number_of_compliments = 'Low'; percentage refers to DIVIDE(COUNT(number_of_compliments = 'Low'), COUNT(user_id)) * 100
business number refers to business_id; business_id = 2; does not have refers to attribute_value = 'none';
long reviews refers to review_length = 'long'; most number of long reviews refers to MAX(COUNT(review_length = 'long')); average ratings = AVG(review_stars);
businesses with long length tips refer to business_id where tip_length = 'Long';
category of food refers to category_name = 'Food'; calculation = DIVIDE(COUNT(stars > 3), SUM(stars))
opened from 8AM to 6PM refers to Business_Hours where opening_time = '8AM' and closing_time = '6PM'; days refer to day_id;
year with yelp = Subtract ('%Y'(CURRENT TIME), user_yelping_since_year)
best elite refers to user_average_stars = 5; worse eliter refers to user_average_stars = 1: in 2013 refers to year_id = 2013; ratio = Divide(Count(user_id(user_average_stars = 5)),  Count(user_id(user_average_stars = 1)))
What is the average year for a user to be upgraded to elite user?
AVG(user_yelping_since_year) where user_id from Elite;
Sunday refers to day_of_week = 'Sunday' where day_id = 1; category of Arts & Entertainment refers to category_name = 'Arts & Entertainment';
opening hours refers to opening_time; earlier than 8AM refers to opening_time < '8AM';
users with a high number of fans refers to user_fans = 'High'; 2011 refers to actual_year = 2011; Calculation = DIVIDE(Elite.user_id where user_fans = 'High' AND actual_year = 2011, Elite.user_id where actual_year = 2011) * 100
Sunday refers to day_of_week = 'Sunday' where day_id = 1; opened from 9AM to 9PM refers to Business_Hours where opening_time = '9AM' and closing_time = '9PM'; DIVIDE(COUNT(opening_time = '9AM' and closing_time = '9PM' and day_of_week = 'Sunday'), COUNT(opening_time = NOT NULL and closing_time = NOT NULL and day_of_week = 'Sunday')) as percentage;
medium length of review refers to review_length = 'Medium'
highest review count refers to review_count = 'Uber'; average business review stars = Divide (Sum(review_stars), Count(user_id))
'Phoenix' is the city; waiter service refers to attribute_name = 'waiter_services'
state refers to city
attribute numbers refers to attribute_id; related to payment refers to attribute_name like '%payment%';
Yelp_Business no.1 refers to business_id = 1; on weekends refers to day_of_week = 'Saturday' or day_of_week = 'Sunday'; average business time refers to DIVIDE(SUBTRACT(closing_time, opening_time), 2)
What is the average year needed by a user with uber fans to become an elite user?
AVG(user_yelping_since_year) where user_fans = 'uber';
in 2012 refers to actual_year = 2012;
cool compliments refers to compliment_type = 'cool'; user number refers to user_id;
users refer to user_id; uber votes for all of the review category refer to review_votes_funny = 'uber' AND review_votes_useful = 'uber' AND review_votes_cool = 'uber';
long tip refers to tip_length = 'Long'; 2 likes refers to likes = 2; high number of fans refers to user_fans = 'High'
active business refers to active = 'true': 'Mesa' is the name of city; 'AZ' is the state; low review count refers to review_count = 'Low'; category refers to category_name
in Anthem refers to city = 'Anthem'; the category of "Food" refers to category_name = 'Food'
in Arizona refers to state = 'AZ'; user no. 3 refers to user_id = 3
under the category "Food" refers to category_name = 'Food'
review of 4 star and above refers to stars > 4; DIVIDE(SUM(stars > 4), COUNT(business_id)) = 0.65;
uber number of fans refers to user_fans = 'uber';
For the Yelp businesses which received a "5" star review with "uber" number of votes for funny, which one is located in "Phoenix"? Give the business ID.
located in "Phoenix" refers to city = 'Phoenix'; received a "5" star review refers to review_stars = '5'; "uber" number of votes for funny refers to review_votes_funny = 'Uber'
closed business refers to active = 'false'; in Avondale refers to city = 'Avondale'; 'wonderful experience' rating refers to stars > 3; percentage = divide(count(business_id where stars > 3), count(business_id))*100%
since year 2005 refers to year_id Between 2005 and 2014; increment percentage = Divide(Count(user_id(year_id < 2014)), Count (user_id(year_id = 2015))) * 100
the most reviews refer to MAX(user_id);
state refers to city
"Hotel & Travel" is the category_name; most review refers to Max(Count(category_id)); Average star per user = Divide (Sum (review_stars), Count(user_id))
can be attributed to 'Good for Kids' refers to attribute_name = 'Good for Kids' and attribute_value = 'true'
started using Yelp since 2004 refers to user_yelping_since_year = '2004'; had high followers refers to user_fans = 'High'
bars refers to category_name = 'Bars';
elite user for consecutively 5 years or more refers to user_id COUNT(year_id) > 5; Average star = AVG(likes)
low compliments refers to number_of_compliments = 'Low'; joined Yelp in 2012 refers to user_yelping_since_year = 2012
List out city name of businesses which have medium length of review.
medium length of review refers to review_length = 'Medium'
opened during late afternoon refers to Business_Hours where opening_time ≥ '5PM'; active businesses refer to business_id where active = 'true';
actively running refers to active = 'true';
attribute name which start with "music" refers to attribute_name LIKE 'music%'
operating hours refers to opening_time closing_time on day_id; in Black Canyon City refers to city = 'Black Canyon City'; greater than average refers to review_count > AVG(T1.review_count)
open businesses refers to active = 'true'; long review refers to review_length = 'Long'
posted more than 10 reviews refers to count(Reviews.user_id) > 10
active businesses refers to active = 'true'; AZ is a state; medium review count refers to review_count = 'Medium'
average ratings of at least 4 refers to user_average_stars > = 4; no fans or followers refers to user_fans = 'None'; percentage = divide(count(user_id where user_average_stars > = 4 and user_fans = 'None'), sum(user_id where user_average_stars > = 4))*100%
closing hours refer to closing_time; business days refer to day_id from Business_Hours;
elite user for consecutively 5 years or more refers to user_id COUNT(year_id) > 5; Average star = AVG(likes)
How many active businesses are opened during late afternoon in the Phoenix city? List out the top 3 categories name for these businesses.
opened during late afternoon refers to Business_Hours where opening_time ≥ '5PM'; active businesses refer to business_id where active = 'true';
short length of review refers to review_length = 'Short'; in Phoenix refers to city = 'Phoenix'
the most reviews refer to MAX(user_id);
Women's clothing refers to category_name = 'Women''s Clothing'; Men's clothing refers to category_name = 'Men''s Clothing'; percentage more = MULTIPLY(DIVIDE(SUBTRACT(SUM(category_name = 'Women''s Clothing'), SUM(category_name = 'Men''s Clothing')), COUNT(business_id)), 1.0);
AVG(user_yelping_since_year) where user_id from Elite;
under the category "Food" refers to category_name = 'Food'
user No. refers to user_id;
since year 2005 refers to year_id Between 2005 and 2014; increment percentage = Divide(Count(user_id(year_id < 2014)), Count (user_id(year_id = 2015))) * 100
active business refers to active = 'true': 'Mesa' is the name of city; 'AZ' is the state; low review count refers to review_count = 'Low'; category refers to category_name
low cool vote for user refers to user_votes_cool = 'Low';  low cool vote for review refers to review_votes_cool = 'Low'
active businesses refers to active = 'true'; underrated refers to review_count = 'Low';
Find out which business is opened for 24/7 and list out what is the business attribute.
opened for 24/7 refers to Business_Hours WHERE opening_time = closing_time and business_id COUNT(day_id) = 7; business attribute refers to attribute_name
categories refers to category_name; Yelp_Business no.1 refers to business_id = 1
5 star reviews refers to review_stars = 5; business No. refers to business_id;
medium refers to number_of_compliments = 'Medium';
uber number of fans refers to user_fans = 'uber';
active business refers to active = 'true';  'Scottsdale' is the name of city; stars greater than the 60% of average age of star rating refers to stars  > avg(stars) * 60%
Arizona refers to state = 'AZ';
yearly average review = Divide( Count(business_id), Subtract('%Y'(CURRENT_TIME), user_yelping_since_year))
started using Yelp since 2004 refers to user_yelping_since_year = '2004'; had high followers refers to user_fans = 'High'
highest review count refers to review_count = 'Uber'; average business review stars = Divide (Sum(review_stars), Count(user_id))
Sunday refers to day_of_week = 'Sunday' where day_id = 1; opened from 9AM to 9PM refers to Business_Hours where opening_time = '9AM' and closing_time = '9PM'; DIVIDE(COUNT(opening_time = '9AM' and closing_time = '9PM' and day_of_week = 'Sunday'), COUNT(opening_time = NOT NULL and closing_time = NOT NULL and day_of_week = 'Sunday')) as percentage;
How many Yelp_Businesses in Arizona have a Elitestar rating of over 4?
Arizona refers to state = 'AZ'; Elitestar rating of over 4 refers to stars > 4;
business category refers to category_name; most 5 star reviews refers to MAX(COUNT(category_name WHERE star_reviews = 5));
short tips refers to tip_length = 'short'; most number of short tips refers to MAX(COUNT(tip_length = 'short')); category refers to category_name;
AZ refers to state = 'AZ'; stars < 3;
closed/not running refers to active = 'False'; most reviews refers to MAX(COUNT(user_id));
average good review refers to review_count > = 3; Arizona refers to state = 'AZ'; business category refers to category_name
active businesses refers to active = 'true'; located at Chandler, AZ refers to city = 'Chandler', state = 'AZ'; category refers to category_name; atrributes refers to attribute_name
high compliments refers to number_of_compliments = 'High'; type in photo refers to compliment_ID = 1
review of 4 star and above refers to stars > 4; DIVIDE(SUM(stars > 4), COUNT(business_id)) = 0.65;
"Good for Groups" and "Good for Dancing" are attribute_name; active business refers to active = true'
DIVIDE(COUNT(business_id where category_name = 'Food' and opening_time = '7AM' and closing_time = '8PM'), COUNT(business_id where opening_time = '7AM' and closing_time = '8PM')) as percentage;
How many short tips were left for the business with ID no.2?
short tip refers to tip_length = 'Short'; business category refers to category_name
businesses refer to business_id; review_stars = 5.0; review_votes_funny = 'uber';
"Good for Kids" attribute refers to attribute_name = 'Good for Kids' AND attribute_value = 'true'; Calculation = DIVIDE(SUM(attribute_name = 'Good for Kids' AND attribute_value = 'true')), SUM(business_id) * 100
low cool vote for user refers to user_votes_cool = 'Low';  low cool vote for review refers to review_votes_cool = 'Low'
actively running refers to active = 'TRUE'; Tolleson refers to city = 'Tolleson';
closing hours refer to closing_time; business days refer to day_id from Business_Hours;
type of compliments refers to compliment_type; user No. refers to user_id;
Tempe is a city; high review count refers to review_count = 'High'
drive-thru refers to attribute_name = 'Drive-Thru' AND attribute_value = 'true'; Scottsdale refers to city = 'Scottsdale'; business_id < 1000;
shopping business refers to category_name = 'Shopping'; opening time before 8AM refers to opening_time < '8AM';
active businesses refers to active = 'true'; underrated refers to review_count = 'Low';
Which business ID received the review of 4 star and above by 65% of user? Describe their active status and city.
review of 4 star and above refers to stars > 4; DIVIDE(SUM(stars > 4), COUNT(business_id)) = 0.65;
do not have fans refers to user_fans = 'None'; high number of compliment refers to number_of_compliments = 'High'
businesses with long length tips refer to business_id where tip_length = 'Long';
category of businesses refers to category_name; stars ratings are 5 refers to stars = 5
Scottsdale refers to city = 'Scottsdale'; positive comments refers to stars > 3; Elitestar rating refers to stars;
days from Monday to Saturday refer to day_id between 2 and 7; work the most days can be computed as MAX(COUNT(category_name where day_id between 2 and 7));
active business refers to active = 'true'; 'Wi-Fi' is the attribute_name; medium review count refers to review_count = 'Medium'
joined yelp since 2004 refers to user_yelping_since_year = 2004;
9 am refers to opening_time = '9AM'; 9 pm refers to closing_time = '9PM'; every Saturday refers to day_of_week = 'Saturday'; location refers to city
medium tip length refers to tip_length = 'Medium'; percentage = divide(count(tips where tip_length = 'Medium'), count(tips))*100%; the time when users join Yelp refers to user_yelping_since_year
2006 and 2007 refers to BETWEEN 2006 AND 2007; greater number in elite user refers to count(user_id)
List all the users with average star less than 3 stars in 2012
average star less than 3 stars refers to user_average_stars < 3; in 2012 refers to user_yelping_since_year = 2012
average review = Divide(Count(user_id), Count(business_id))
businesses refer to business_id; review_stars = 5.0; review_votes_funny = 'uber';
type of compliments refers to compliment_type; user No. refers to user_id;
opening times of 7AM and closing times of 8PM refer to Business_Hours where opening_time = '7AM' and closing_time = '8PM'; active business refers to business_id where active = 'true';
uber number of fans refers to user_fans = 'uber';
attribute numbers refers to attribute_id; related to payment refers to attribute_name like '%payment%';
"Good for Groups" and "Good for Dancing" are attribute_name; active business refers to active = true'
business number refers to business_id;
active businesses in Arizona refer to business_id where state = 'Arizona' and active = 'true'; work after 12PM refer to opening_time > '12PM';
actively running refers to active = 'true';
Write down the number of running business with each review count in Cave Creek city.
number of running business refers to COUNT(business_id) where active = 'true'; each review count includes review_count = 'High', review_count = 'Medium', review_count = 'Low';
elite user for consecutively 5 years or more refers to user_id COUNT(year_id) > 5; Average star = AVG(likes)
in Tempe refers to city = 'Tempe'; rated as 'Wonderful experience refers to stars > 3
2006 and 2007 refers to BETWEEN 2006 AND 2007; greater number in elite user refers to count(user_id)
active business refers to active = 'true'; 'Wi-Fi' is the attribute_name; medium review count refers to review_count = 'Medium'
operating hours refers to opening_time closing_time on day_id; in Black Canyon City refers to city = 'Black Canyon City'; greater than average refers to review_count > AVG(T1.review_count)
Yelp_Business no.1 refers to business_id = 1; on weekends refers to day_of_week = 'Saturday' or day_of_week = 'Sunday'; average business time refers to DIVIDE(SUBTRACT(closing_time, opening_time), 2)
"Scottsdale" is the name of city; high review count refers to review_count = 'High'; attribute of the business refers to attribute_name
opened all the time refers to Business_Hours where day_id BETWEEN 1 and 7 and opening_time = closing_time;
active businesses refers to active = 'true'; in Chandler refers to city = 'Chandler'
active business refers to active = 'true'; Casa Grande refers to city = 'Casa Grande'
List out the user who is an elite user for consecutively 5 years or more and what is the user average star? How many likes does this user gets?
elite user for consecutively 5 years or more refers to user_id COUNT(year_id) > 5; Average star = AVG(likes)
in Anthem refers to city = 'Anthem'; stars on average = avg(review_stars)
how much time does this business open refers to SUBTRACT(closing_time, opening_time); DIVIDE(SUM(SUBTRACT(closing_time, opening_time)), SUM(Business.business_id))
active businesses refers to active = 'true'; in Chandler refers to city = 'Chandler'
active businesses refers to active = 'true'; AZ is a state; medium review count refers to review_count = 'Medium'
opened during late afternoon refers to Business_Hours where opening_time ≥ '5PM'; active businesses refer to business_id where active = 'true';
average ratings of at least 4 refers to user_average_stars > = 4; no fans or followers refers to user_fans = 'None'; percentage = divide(count(user_id where user_average_stars > = 4 and user_fans = 'None'), sum(user_id where user_average_stars > = 4))*100%
businesses in "Pets" category refers to category_name = 'Pets'; percentage refers to DIVIDE(COUNT(category_name = 'Pets'), COUNT(business_id)) * 100%
low number of compliments refers to number_of_compliments = 'Low'; percentage refers to DIVIDE(COUNT(number_of_compliments = 'Low'), COUNT(user_id)) * 100
without attribute refers to attribute_value = 'None'; in Gilbert refers to city = 'Gilbert'
do not provide alcohol refers to attribute_name = 'Alcohol'and attribute_value = 'none'
How many businesses are with high review count?
high review count refers to review_count = 'High'
categories refers to category_name; in Arizona refers to state = 'AZ'
highest review count refers to review_count = 'Uber'; average business review stars = Divide (Sum(review_stars), Count(user_id))
categories refers to category_name
businesses have the category named food refer to business_id where category_name = 'Food'; DIVIDE(COUNT(business_id where category_name = 'Food' and stars < 2), COUNT(business_id where category_name = 'Food')) as percentage;
users with a high number of fans refers to user_fans = 'High'; 2011 refers to actual_year = 2011; Calculation = DIVIDE(Elite.user_id where user_fans = 'High' AND actual_year = 2011, Elite.user_id where actual_year = 2011) * 100
business that accept insurance refers to attribute_name = 'Accepts Insurance' AND attribute_value = 'true'
in Glendale refers to city = 'Glendale'
Sunday refers to day_of_week = 'Sunday' where day_id = 1; opened from 9AM to 9PM refers to Business_Hours where opening_time = '9AM' and closing_time = '9PM'; DIVIDE(COUNT(opening_time = '9AM' and closing_time = '9PM' and day_of_week = 'Sunday'), COUNT(opening_time = NOT NULL and closing_time = NOT NULL and day_of_week = 'Sunday')) as percentage;
in Arizona refers to state = 'AZ'; user no. 3 refers to user_id = 3
average star less than 3 stars refers to user_average_stars < 3; in 2012 refers to user_yelping_since_year = 2012
List the business located in Mesa that have alcohol attribute.
in Mesa refers to city = 'Mesa'; alcohol attribute refers to attribute_name = 'Alcohol'
active businesses refers to active = 'true'; in Chandler refers to city = 'Chandler'
with great experience refers to stars = 5
closing hours refer to closing_time; business days refer to day_id from Business_Hours;
Sunday refers to day_of_week = 'Sunday' where day_id = 1; category of Arts & Entertainment refers to category_name = 'Arts & Entertainment';
business number refers to business_id; business_id = 2; does not have refers to attribute_value = 'none';
low compliments refers to number_of_compliments = 'Low'; joined Yelp in 2012 refers to user_yelping_since_year = 2012
user no.3 refers to user_id = 3; in Arizona refers to state = 'AZ'; stars on average = avg(review_stars(user_id = 3))
type of compliments refers to compliment_type; user No. refers to user_id;
cool compliments refers to compliment_type = 'cool'; user number refers to user_id;
opening hours 10AM on Saturday refer to Business_Hours where opening_time = '10AM' and day_id = 6;
Please provide the name of businesses with user id "16328".
name of business refers to category_name;
category of mexican refers to category_name = 'Mexican'; star rating below 4 refers to stars < 4
percentage refers to DIVIDE(COUNT(attribute_name = 'Accepts Credit Cards'), COUNT(business_id))*100%
in Anthem refers to city = 'Anthem'; the category of "Food" refers to category_name = 'Food'
short reviews refer to tip_length = 'Short';
how much time does this business open refers to SUBTRACT(closing_time, opening_time); DIVIDE(SUM(SUBTRACT(closing_time, opening_time)), SUM(Business.business_id))
;
Tempe is a city; high review count refers to review_count = 'High'
"Gilbert" is the name of city; highest star rating refers to Max(stars)
Arizona refers to state = 'AZ'; Elitestar rating of over 4 refers to stars > 4;
"Tempe" is the name of city; long review refers to review_length = 'Long'
How many users have "uber" number of fans?
uber number of fans refers to user_fans = 'uber';
AVG(user_yelping_since_year) where user_id from Elite;
less than 5 low compliment refers to number_of_compliments < 5
attribute name which start with "music" refers to attribute_name LIKE 'music%'
Arizona refers to state = 'AZ';
the most reviews refer to MAX(user_id);
low compliments refers to number_of_compliments = 'Low'; joined Yelp in 2012 refers to user_yelping_since_year = 2012
"South Carolina" and "California" are both state; average review stars from users = Divide((Sum(review_stars(state = 'SC')) + Sum(review_stars(state = 'CA'))), Sum(stars))
active business refers to active = 'true'; 'Wi-Fi' is the attribute_name; medium review count refers to review_count = 'Medium'
user No. refers to user_id; short tip refers to tip_length = 'short'; category refers to category_name;
opened all the time refers to Business_Hours where day_id BETWEEN 1 and 7 and opening_time = closing_time;
Which city is the business that got a "medium" length tip with "3" likes located in?
medium length tip refers to tip_length = 'Medium';
active businesses refers to active = 'true'; in Tempe refers to city = 'Tempe'; with stars greater than the 70% of average age of star rating refers to stars > DIVIDE(sum(stars), COUNT(business_id)) * 70%
Yelp_Business no.1 refers to business_id = 1; on weekends refers to day_of_week = 'Saturday' or day_of_week = 'Sunday'; average business time refers to DIVIDE(SUBTRACT(closing_time, opening_time), 2)
in Anthem refers to city = 'Anthem'; stars on average = avg(review_stars)
categories refers to category_name
false
in Arizona refers to state = 'AZ'; user no. 3 refers to user_id = 3
state refers to city
business No. refers to business_id; have TV refers to attribute_name = 'Has TV';
categories refers to category_name; closes at 12PM refers to closing_time = '12PM'; on Sundays refers to day_of_week = 'Sunday'
high review count refers to review_count = 'High'; received 2 stars refers to stars = 2; category refers to category_name
List the categories of active businesses in Glendale, AZ.
active business ID refers to active = 'true'; categories refers to category_name; Glendale is a city; AZ is a state
Tempe is a city; high review count refers to review_count = 'High'
in Chandler refers to city = 'Chandler'; attribute refers to attribute_name
music_karaoke attribute refers to attribute_name = 'music_karaoke' AND attribute_value = 'true'; businesses are closed refers to active = 'false'
since year 2012 refers to user_yelping_since_year = '2012'
businesses with long length tips refer to business_id where tip_length = 'Long';
average good review refers to review_count > = 3; Arizona refers to state = 'AZ'; business category refers to category_name
bring their own beer refers to attribute_name = 'BYOB' AND attribute_value = 'TRUE'; Phoenix refers to city = 'Phoenix'; percentage = MULTIPLY(DIVIDE(SUM(city = 'Phoenix'), COUNT(business_id)), 1.0)
year with yelp = Subtract ('%Y'(CURRENT TIME), user_yelping_since_year)
without attribute refers to attribute_value = 'None'; in Gilbert refers to city = 'Gilbert'
"Gilbert" is the name of city; high review count refers to review_count = 'High'
For the Yelp business which had the most number of "short" tips, which category does it belong to?
short tips refers to tip_length = 'short'; most number of short tips refers to MAX(COUNT(tip_length = 'short')); category refers to category_name;
closed/not running refers to active = 'False'; most reviews refers to MAX(COUNT(user_id));
"Hotel & Travel" is the category_name; most review refers to Max(Count(category_id)); Average star per user = Divide (Sum (review_stars), Count(user_id))
located in Phoenix refers to city = 'Phoenix'; Arizona refers to state = 'AZ'
number of running business refers to COUNT(business_id) where active = 'true'; each review count includes review_count = 'High', review_count = 'Medium', review_count = 'Low';
do not have fans refers to user_fans = 'None'; high number of compliment refers to number_of_compliments = 'High'
type of compliments refers to compliment_type; user No. refers to user_id;
average ratings of at least 4 refers to user_average_stars > = 4; no fans or followers refers to user_fans = 'None'; percentage = divide(count(user_id where user_average_stars > = 4 and user_fans = 'None'), sum(user_id where user_average_stars > = 4))*100%
can be attributed to 'Good for Kids' refers to attribute_name = 'Good for Kids' and attribute_value = 'true'
active business refers to active = 'true'; 'Wi-Fi' is the attribute_name; medium review count refers to review_count = 'Medium'
closed at 8PM refers to closing_time = '8PM';
How many business have been reviewed by user ID 3 and how long have this user been with Yelp?
year with yelp = Subtract ('%Y'(CURRENT TIME), user_yelping_since_year)
year the user join the Yelp refers to user_yelping_since_year; most number of short tips refers to MAX(COUNT(tip_length = 'Short'));
shopping business refers to category_name = 'Shopping'; opening time before 8AM refers to opening_time < '8AM';
on Sunday refers to day_of_week = 'Sunday'
active businesses refers to active = 'true'; located at Chandler, AZ refers to city = 'Chandler', state = 'AZ'; category refers to category_name; atrributes refers to attribute_name
user No. refers to user_id; short tip refers to tip_length = 'short'; category refers to category_name;
categories refers to category_name; Yelp_Business no.1 refers to business_id = 1
high review count refers to review_count = 'High'; received 2 stars refers to stars = 2; category refers to category_name
business no. 14033 refers to business_id = 14033; good for supper refers to attribute_name = 'good_for_dinner'
rating more than 2 refers to stars > 2;
number of running business refers to COUNT(business_id) where active = 'true'; each review count includes review_count = 'High', review_count = 'Medium', review_count = 'Low';
What is the average number of review received by each business given that the user is an elite?
average review = Divide(Count(user_id), Count(business_id))
business time of longer than 12 hours refers to subtract(closing_time, opening_time) > 12; on Sundays refers to day_of_week = 'Sunday'
categories refers to category_name; in Arizona refers to state = 'AZ'
yearly average review = Divide( Count(business_id), Subtract('%Y'(CURRENT_TIME), user_yelping_since_year))
rating more than 2 refers to stars > 2;
in Glendale refers to city = 'Glendale'
AVG(user_yelping_since_year) where user_fans = 'uber';
Yelp_Business no.1 refers to business_id = 1; open on refers to opening_time; Tuesdays refers to day_of_week = 'Tuesday'
low cool vote for user refers to user_votes_cool = 'Low';  low cool vote for review refers to review_votes_cool = 'Low'
short tip refers to tip_length = 'Short'; business category refers to category_name
categories refers to category_name
Please list the business ID of the Yelp_Business with the highest Elitestar rating under the category "Food".
under the category "Food" refers to category_name = 'Food'
average good review refers to review_count > = 3; Arizona refers to state = 'AZ'; business category refers to category_name
active business refers to active = 'true'; 'Pets' is the category_name
Yelp_Business no.1 refers to business_id = 1
business no. 14033 refers to business_id = 14033; good for supper refers to attribute_name = 'good_for_dinner'
ID number refers to attribute_id
elite user for consecutively 5 years or more refers to user_id COUNT(year_id) > 5; Average star = AVG(likes)
opened for 24/7 refers to Business_Hours WHERE opening_time = closing_time and business_id COUNT(day_id) = 7; business attribute refers to attribute_name
ID of businesses refers to business_id; reviews with the lowest veracity refers to review_count = 'Low' AND stars > 3; Paradise Valley is a city
in Glendale refers to city = 'Glendale'
9 am refers to opening_time = '9AM'; 9 pm refers to closing_time = '9PM'; every Saturday refers to day_of_week = 'Saturday'; location refers to city
How many "bars" are there in the Yelp business?
bars refers to category_name = 'Bars';
the ID refers to business_id; active status refers to active; active = 'true' means the business is still running; active = 'false' means the business is closed or not running now
photos type compliment refers to compliment_type = 'photos'; high cool votes refers to review_votes_cool = 'High'
highest number of reviews refers to SUBTRACT(MAX(COUNT(business_id), MIN(COUNT(business_id))))
in Anthem refers to city = 'Anthem'; the category of "Food" refers to category_name = 'Food'
name of business refers to category_name;
active businesses refers to active = 'true'; attribute of caters refers to attribute_name = 'Caters'
rating refers to stars; inactive refers to active = 'False'; average rating of inactive businesses = DIVIDE(SUM(stars), COUNT(business_id));
active business refers to active = 'true'; 'Pets' is the category_name
businesses have the category named food refer to business_id where category_name = 'Food'; DIVIDE(COUNT(business_id where category_name = 'Food' and stars < 2), COUNT(business_id where category_name = 'Food')) as percentage;
Sunday refers to day_of_week = 'Sunday' where day_id = 1; opened from 9AM to 9PM refers to Business_Hours where opening_time = '9AM' and closing_time = '9PM'; DIVIDE(COUNT(opening_time = '9AM' and closing_time = '9PM' and day_of_week = 'Sunday'), COUNT(opening_time = NOT NULL and closing_time = NOT NULL and day_of_week = 'Sunday')) as percentage;
How many stars on average does a Yelp_Business in Anthem get from a user review?
in Anthem refers to city = 'Anthem'; stars on average = avg(review_stars)
still running refers to active = 'true'; opened from 8AM to 6PM refers to opening_time = '8AM' AND closing_time = '6PM';
Arizona refers to state = 'AZ'; still running refers to active = 'true';
12 am refers to opening_time = '12AM'; 1 am refers to closing_time = '1AM'; on Saturday refers to day_of_week = 'Saturday'
can be attributed to 'Good for Kids' refers to attribute_name = 'Good for Kids' and attribute_value = 'true'
attribute name which start with "music" refers to attribute_name LIKE 'music%'
business time of longer than 12 hours refers to subtract(closing_time, opening_time) > 12; on Sundays refers to day_of_week = 'Sunday'
since year 2012 refers to user_yelping_since_year = '2012'
cool compliments refers to compliment_type = 'cool'; user number refers to user_id;
state refers to city
actively running refers to active = 'true';
List the active business ID and its stars of the businesses fall under the category of Pets.
active business refers to active = 'true'; 'Pets' is the category_name
business that accept insurance refers to attribute_name = 'Accepts Insurance' AND attribute_value = 'true'
the most common type of compliments refers to MAX(COUNT(compliment_type))
high review count refers to review_count = 'High'; received 2 stars refers to stars = 2; category refers to category_name
short comment refers to tip_length = 'Short'; users who joined in 2010 refer to user_id where user_yelping_since_year = 2010;
closed at 8PM refers to closing_time = '8PM';
year the user join the Yelp refers to user_yelping_since_year; most number of short tips refers to MAX(COUNT(tip_length = 'Short'));
1 pm refers to opening_time = '1PM'; 6 pm refers to closing_time = '6PM'; on Saturday refers to day_of_week = 'Saturday'
5 star reviews refers to review_stars = 5; business No. refers to business_id;
ID number refers to attribute_id
since year 2012 refers to user_yelping_since_year = '2012'
Calculate the average review star from users in businesses located in South Carolina and California state.
"South Carolina" and "California" are both state; average review stars from users = Divide((Sum(review_stars(state = 'SC')) + Sum(review_stars(state = 'CA'))), Sum(stars))
"Gilbert" is the name of city; highest star rating refers to Max(stars)
Women's clothing refers to category_name = 'Women''s Clothing'; Men's clothing refers to category_name = 'Men''s Clothing'; percentage more = MULTIPLY(DIVIDE(SUBTRACT(SUM(category_name = 'Women''s Clothing'), SUM(category_name = 'Men''s Clothing')), COUNT(business_id)), 1.0);
percentage = MULTIPLY(DIVIDE(SUM(city = 'Phoenix' END), COUNT(category_id)), 1.0);
the most common type of compliments refers to MAX(COUNT(compliment_type))
"Shopping Centers" is the category_name; high review count refers to review_count = 'High'
bars refers to category_name = 'Bars';
long reviews refers to review_length = 'Long'; medium number of useful votes refers to review_votes_useful = 'medium';
active businesses refers to active = 'true'; attribute of caters refers to attribute_name = 'Caters'
low number of compliments refers to number_of_compliments = 'Low'; percentage refers to DIVIDE(COUNT(number_of_compliments = 'Low'), COUNT(user_id)) * 100
business that accept insurance refers to attribute_name = 'Accepts Insurance' AND attribute_value = 'true'