Let me give you a short description of my work:
In the summary of COVID situation I had 4 main objectives :
1: have a quick global vision of main indicators with international comparison
2: be able to dig into any country in detail with all main measures to set up a country diagnosis
3: show trends, actionable indicators that decision makers need
4: keep historical data for further analysis
You can track daily new cases and deaths, but I also calculated 14 day average measures (generally used in covid statistics as well) to visualise cleaner trends without having the daily fluctuation in data.
By using the time slicer, you can visualise cumulated data for any period, for instance to compare the First Wave results to the Second Wave results of the pandemic.
On the map visualisation it is easy to have a global view how the different countries are impacted at the moment (size of the bubble = average daily new cases taking into account last 14 days). Trend is shown vs 7 days before to show the evolution of this same 14 days average indicator. By changing the time slicer you can see which were the countries with worsening trend for instance a month ago, and how this changed for now.
Continent category is mainly used to have better visualisation of data by geographical zoom on the map but also by ignoring “extreme data” : ex: without selecting Europe, it is difficult to see relative size of the bubbles for European countries due to US extremely high value.
I voluntarily did not focus on the active cases information, as it seems the least reliable and the least accurately managed by authorities.