Introduction

 1.1- Background

Toronto is one of the most popular and crowded cities in Canada, with the rise in the number of cases of COVID-19 virus globally, it is the duty of every citizen to slow down the propagation of this virus. So far most of the community contamination cases happened in public areas and commercials so reducing or letting people know some of the buzzy areas to avoid will for sure slow down if not stop the contamination cycle. It is in this sight that we decided to analyze Toronto neighborhood data using foursquare API to determine the hot spots where we find most public commerces (restaurants, malls, gyms, schools, …) so the public can be aware of the areas to avoid.

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