Toronto Neighborhood Analysis - IBM Capstone Project

Goal of this capstone project:

Use location data in order to compare Toronto's neighborhoods and cluster them into 5 distinct groups.

To do that, we will have to :

• Use location data and different location data providers, such as Foursquare.
• Make RESTful API calls to the Foursquare API to retrieve data about venues in different neighborhoods around the world.
• Be creative in situations where data are not readily available by scraping web data and parsing HTML code.
• Make use of Folium library to generate maps of geospatial data and to communicate results and findings.

Table of contents

1. Retrieve the data from Wikipedia page
2. Data Wrangling
3. Exploration of the neighborhoods in Toronto
4. Analysis of Each Neighborhood
5. Cluster Neighborhoods
6. Examine Clusters

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Results