/yelp-neighborhood-clustering

Investigated the relationship between local business dynamics and neighborhood characteristics

Primary LanguageJupyter Notebook

Data Mining on Yelp and Census Data

This is a data mining project for understanding how businesses and neighborhoods interact.

We employ different clustering techniques to investigate the relationship between business dynamics and neighborhood characteristics. The former was revealed by clustering patronage patterns in Yelp data, the latter was shown by clustering neighborhoods by census data.

Project Report

Folder structure

  • code - the Jupyter notebooks containing code for data processing and analysis.
  • data - auxiliary datasets and intermediate tidy data files generated in the process.

It you want to reproduce the data cleaning steps, you would also need to place the Yelp Dataset in folder ../../yelp-data, i.e., a folder called yelp-data two levels up from the root folder of this repository.