mcs2017 / WACC

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WACC Yelp data analysis

CMSC 12300: Computer Science with Application-3

The University of Chicago | Spring 2018

About this repository:

This repository contains the final course project for CMSC 12300.

About all sub-directories:

Data: contains subset of our data and other datafile we use.

--4-city-data: contains data of 4 cities and each includes business id, longitude, latitude, city, price range, stars and review counts

--Category: contains results of category similarity for 4 cities

--Kmeans-data: contains results of kmeans for several cities

--Neighborhood_pairs: contains all pairs of restaurants for the 4 cities we analyzed

--Price_Star_Review: contains results of average price, star, review counts in the neighborhood

--Success_score: contains data of success score for 4 cities

--ReviewsData: contains data of review similarity for 4 cities.

Project_info: contains project proposal, presentation slides, and final project.

Scripts: contains scripts for the project.

--Reviews_Codes: contains scripts for reviews.

--Category: contains scripts for category similarity.

Contributors

Shuting Chen

Ruxin Chen

Mengchen Shi

Lerong Wang

We would like to express our sincere gratitude to Dr. Matthew Wachs for your teaching, guidance, and support throughout the quarter.

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