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The Worst Days: Confirmed Daily Deaths due to COVID-19 So Far

Repository of the latest visualizations showing confirmed daily deaths worldwide and per country relative to each's worst day.

  • You can find more background on the idea, pros and cons of this visualization and some general thoughts on how to design visualizations dealing with COVID-19 on my blog.

  • All visualizations include only countries with 50 or more confirmed daily deaths due to COIVD-19.

  • On April 17th 2020, officials in Wuhan, China, revised the cityΒ΄s coronavirus death toll retrospectively; the deaths have been added proportionally to the daily confirmed deaths of China until that date.


Heatmaps

Countries ranked by days since worst day so far

./plots/corona_heat_trend_latest_1.png

Countries ranked by day of first confirmed death

./plots/corona_heat_begin_latest_1.png

As Animation:

./plots/corona_heat_begin.gif

Countries ranked by total number of confirmed deaths

./plots/corona_heat_sum_latest_1.png

As Animation:

./plots/corona_heat_sum.gif


Trajectories

./plots/corona_trajectory_facet_1.png


World Tile Map

./plots/corona_map_latest_1.png

As Animation:

./plots/corona_map.gif

World Tile Map showing Day of First Confirmed Death

./plots/corona_map_date_1.png


Tools:

  • I prepared the data with the help of the programming language R using the tidyverse package collection and the packages lubridate and zoo

  • I created the visualizations using the R graphic library ggplot2 plus the packages ggtext, showtext, rcartocolor, and gghighlight. The animations were created from the static plots using ImageMagick in R via the magick package.


Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)


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😷 Visualizations showing confirmed daily deaths due to COVID-19 worldwide and per country relative to each's worst day.

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