Where-Is-Good-Food-Yelp-Analytics | Chang Liu , Jennifer Le Hégaret , and Dazza Greenwood

Where-Is-Good-Food-Yelp-Analytics is a R library. Where-Is-Good-Food-Yelp-Analytics has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

You can view the project presentation for my Harvard class MATH 156. at my R pub profile: Chang’s personal inspiration for doing a Yelp analytics project comes from his college years, where he was stuck in where there was little access to his favorite: Chinese food. Struggling to find out which restaurant to go to when there was finally a chance, he was obsessed with Yelp; knowing more statistics, he was inspired to dig into the business secrets of Yelp – reviews and rating – and find out more, hence the project. From the Yelp API (we downloaded 999 restaurant data in the Boston Metro Area: - average rating across all reviews - number of reviews - restaurant is "claimed" by the owner? - location - type of food (Chinese, Vegan, Dive Bar, etc). From the US Census (we added this information by zip code: median family income, overall population, % aged 20-40 years old, % Asia population. We innovatively use Bayesian techniques to estimate the median number of restaurant reviews in the Boston Metro area to be somewhere between 129 and 150. Bootstrapping our sample of 1000 restaurants backs this up.