A Closer Look at the Covid-19 Data
by Lukas Jürgensmeier
This website contains visualizations on the Coronavirus outbreak that should foster a data-driven assessment of the current situation. All plots will be updated daily to reflect the latest data.
It is created as a part of TechAcademy e.V., a student-run initiative at Goethe University in Frankfurt, Germany. We teach coding for Data Science and Web Development mostly to students with no computer science background. Next semester, our students will analyze the Covid-19 data set and learn how to create those visualizations and predictions.
Data includes cases up until: 2020-06-26.
Report generated: 2020-06-27 10:36:23.
Data source: Johns Hopkins CSSE
In case you have questions or suggestions, please contact me at lukas.juergensmeier@tech-academy.io.
Maps
Confirmed
Deaths
Mortality
A word of caution regarding the mortality rate: Here, it is calculated as \[mortality =\frac{deaths}{confirmed}.\] While the numerator might be measured quite accurately, the denominator depends largely on other factors such as availability and quantity of testing. If a country doesn’t aggressively test a larger share of the population, the mortality rate will be overestimated by a wide margin. So please don’t interpret too much into this metric and wait for post-hoc assessments through tests of representative random samples of the population.
Confirmed (Europe)
Deaths (Europe)
Mortality (Europe)
A word of caution regarding the mortality rate: Here, it is calculated as \[mortality =\frac{deaths}{confirmed}.\] While the numerator might be measured quite accurately, the denominator depends largely on other factors such as availability and quantity of testing. If a country doesn’t aggressively test a larger share of the population, the mortality rate will be overestimated by a wide margin. So please don’t interpret too much into this metric and wait for post-hoc assessments through tests of representative random samples of the population.
Static Visualizations: Most Affected Countries
Confirmed (stacked)
Confirmed (linear scale)
Confirmed (log scale)
Deaths (stacked)
Deaths (linear scale)
Deaths (log scale)
Confirmed vs. deaths
Mortality rate
A word of caution regarding the mortality rate: Here, it is calculated as \[mortality =\frac{deaths}{confirmed}.\] While the numerator might be measured quite accurately, the denominator depends largely on other factors such as availability and quantity of testing. If a country doesn’t aggressively test a larger share of the population, the mortality rate will be overestimated by a wide margin. So please don’t interpret too much into this metric and wait for post-hoc assessments through tests of representative random samples of the population.