Author Archives: cconley

Following are a few updates of visualizations that were presented last week: Exploring the shape of distributions of regionally reported cases: Daily reported cases by region over time using a static scale: Animation of cumulative daily reported cases by region:

The Data User Group continues to track and analyze the growth of the pandemic in Ontario.  The following animated visualization designed by @GregRousell depicts the increase in Total Cases, Confirmed Cases, Resolved Cases and Deaths in Ontario:

The same data can be viewed in a variety of ways to support different reflections and discussions. This histogram of the regional distributions of daily reported cases of COVID19 helps you appreciate the volume of cases that the Toronto and … Continue reading →

Updated with Public Health Unit Labels Original post with PHU’s labelled by Municipal location: The animated data visualization above was produced in R using the ggplot2 and gganimate packages with open source data from data.ontario.ca.  Data is current up to … Continue reading →

One of the challenges to understanding the spread of COVID19 data is the availability of data.  Each day, members of the Data User Group have been updating a CSV file on our Github and a shared Google Sheet with information … Continue reading →

We are a group of researchers and analysts who are interested in data science and would like to use our expertise to contribute to the understanding of COVID-19 in our communities.  Looking for data… One of the challenges we encountered … Continue reading →