Tokyo Restaurant Reviews On Tabelog
Basic information and rating score of restaurants
@kaggle.utm529fg_tokyo_restaurant_reviews_on_tabelog
Basic information and rating score of restaurants
@kaggle.utm529fg_tokyo_restaurant_reviews_on_tabelog
Tabelog is the most popular restaurant review site in Japan with the largest number of restaurants listed.
In addition to basic information about restaurants, the site also includes user reviews and ratings.
URL : https://tabelog.com/
The datasets was created by scraping from the ranking pages.
The area is focused on Tokyo.
Due to the nature of the ranking page of the Eating List, it is not possible to get information on all restaurants if the search criteria exceeds 1,200.
I gave up on extracting information on all restaurants for the following areas.
Notebook : https://www.kaggle.com/code/utm529fg/scraping-restaurant-reviews-from-tabelog
Users can give a restaurant a rating value on a scale of 1.0~5.0 in 0.1 increments.
The user's rating is aggregated, and the Tabelog rates each restaurant's review value on a 5-point scale with 0.01 increments.
Although the details of the evaluation method used by Eating-log has not been revealed, it appears that the calculation is not based on a simple average, but rather on a complex logic that takes into account the user's level of influence and the number of reviews for a restaurant based on the number of reviews posted by each genre.
Official Explanation of Scores : https://tabelog.com/help/score/
CREATE TABLE tokyo_restaurant_reviews_tabelog (
"store_id" BIGINT,
"name" VARCHAR,
"nearest_station" VARCHAR,
"nearest_distance" DOUBLE,
"genre" VARCHAR,
"rating_val" DOUBLE,
"review_cnt" DOUBLE,
"save_cnt" DOUBLE,
"budget_dinner" VARCHAR,
"budget_lunch" VARCHAR,
"holiday" VARCHAR,
"address" VARCHAR,
"prefecture" VARCHAR,
"municipalities_1" VARCHAR,
"municipalities_2" VARCHAR,
"municipalities_3" VARCHAR
);Anyone who has the link will be able to view this.