In view of the current COVID-19 outbreak, we created a dashboard to compare the development of the situation in Germany and the countries that present the largest number of cases.

The data presented in the dashboard is the following:

  • The stacked columns are showing the absolute cases for actual infections, for recoveries, and for deaths (adding up to the number of total confirmed cases);

  • The lines are indicating the number of new confirmed cases of infections per day;

  • The data shows that there are not many cases reported over the weekend, resulting in bigger jumps on Mondays.

We’re not measuring since the day of the first reported case:

  • The x-axis counts the number of days since 5000 cases were confirmed in that country. We considered the day when each country reached 5000 cases as the day zero of the epidemic’s exponential growth in said country. 

  • For death measures we are using the threshold of 200 cases 


We’re not using per-capita numbers

All numbers are absolute numbers for every single country and not reported per capita.

We decided to exclude numbers per capita because we consider they do not properly reflect the spread since the population density plays a crucial role. Even if we account for the population density of a country, we do not know if the spread is occurring more in urban or rural places.

but ...

To show the impact of per capita numbers you find an analysis on the following two dashboards