A project using Yelp Academic Data to explore ways to predict which businesses will receive more than 100 user reviews.
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README.md

infx573-yelp

This is the code repository for the group project in INFX 527 Intro to Data Science Fall 2014 with Emma Spiro. Team Members are John E Fuller, Lauren Hubener, Jonathan Long Lin, Amy L Trost

The R script for exploratory data analysis is infx537wi14.R in the root folder.

The Final Report is the pdf file in the root folder.

This project relies on the yelp_dataset_challenge_academic_dataset and assumes that the json files are in a folder on the root directory

./yelp_dataset_challenge_academic_dataset/

./yelp_dataset_challenge_academic_dataset/yelp_academic_dataset_business.json

./yelp_dataset_challenge_academic_dataset/yelp_academic_dataset_checkin.json

./yelp_dataset_challenge_academic_dataset/yelp_academic_dataset_review.json

./yelp_dataset_challenge_academic_dataset/yelp_academic_dataset_tip.json

./yelp_dataset_challenge_academic_dataset/yelp_academic_dataset_user.json