Noelene Noone from Data Dialect developed a number of dashboards analysing Covid-19 infections in specific areas.

Open Global

Open Global Dynamic

Open South Africa

Open provinces dashboard

  • Data updated daily.
  • Provincial infection rates from the first identified Covid-19 death in South Africa on 27 March 2020 to yesterday.
  • The case data (confirmed, recovery and death) as well as the population estimates are pulled from the University of Pretoria Coronavirus Github repository.

Open Overberg

  • Data updated as it is published by the Overberg District Municipality
  • Tracking the infection rate in the Overberg District Municipality, a rural district municipality containing 4 local municipalities, each with a number of towns.
  • The Overberg District Municipality forms part of the Western Cape province, South Africa.
  • Date sourced from the Overberg District Municipality Facebook page.

The dashboards are built with the flexdashboard R package making generous us of  the plotly R package.  The dynamic interaction is made possible using the Shiny R package.

Sourcing and presenting data on the Covid-19 pandemic has very real limitations. Testing data, deaths, confirmed case numbers are all subject to many caveats and should be interpreted as indicators rather than the ultimate truth. For more on this subject refer to this piece by Tom Moultrie, a professor of demography at UCT published by News24.

Making use of logarithmic scales has advantages and challenges. For more information on what to take into account when referring to linear versus logarithmic plots, see this informative video.