I have chosen the article “36,000 Missing Deaths: Tracking the True Toll of the Coronavirus Crisis” published by Jin Wu, Allison McCann, Josh Katz and Elian Petier in the New York Times. The article was updated on April 23, 2020, 10 PM.
Link:
https://www.nytimes.com/interactive/2020/04/21/world/coronavirus-missing-deaths.html
The author team uses several
multi-line graphs, each for a different country, to describe the death toll
caused by the coronavirus. They do that, to “undermine
the notion that many people who have died from the virus may soon have died
anyway”. It is not a fancy story as it does neither use fancy graphics nor
interactive elements. It also is a simple one as does not find additional
characters, except a scientist from Germany, and does not accuse governments directly.
But is uses data to add context.
And by doing so, and by building up a short chain of evidence with one or two
arguments, the article makes it clear to the readers in an impressive and
especially comprehensible way that COVID-19 is a really dangerous disease and
therefore the restrictions are all the more important. So I think this article
is good data journalism.