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.
- Retrieve the data from Wikipedia page
- Data Wrangling
- Exploration of the neighborhoods in Toronto
- Analysis of Each Neighborhood
- Cluster Neighborhoods
- Examine Clusters
