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Covid-19 Data Visualization - Neighbourhoods in Toronto

Project adapted from the course Methods of Data Analysis II (STA303/1002) at the University of Toronto.

Updated as of June 22, 2022

Project Description

An exploratory analysis project using data from the City of Toronto's Open Data resource to visualize Covid-19 within the neighbourhoods of Toronto. Skills utilized in this project:

  • Data Cleaning and Wrangling
  • Exploratory Analysis
  • Data Visualization

Tools:

  • R (tidyverse, dplyr)

Visualizations

Reported cases Cases by outbreak type Percentage of low income Covid-19 cases per 100,000 mapped by low income

Special Notes

  • As of June 14, 2022 - Ontario has begun weekly reporting as opposed to daily reporting
  • Ontario has also reduced testing, impacting the numbers shown on this project

Data Source

The data used has been obtained from the City of Toronto's Open Data resource