Data Journalism Top 10: COVID-19’s Spread, Death Rates, and Curve Flattening; The Shape of Dreams; Transphobia Tracking

The attention of the global data journalism community remains very much tuned in to the developing COVID-19 pandemic, which is reflected in our NodeXL #ddj mapping from March 16 to 22. The New York Times mapped the movements of millions of people to trace how the virus spread out from China, The Financial Times tracked how coronavirus case trajectories compare among countries, while Robert Kosara explains the brilliance of a “Flatten the Curve” cartoon.

Investigative Journalism on the COVID-19 Crisis

Journalists around the world are investigating many angles of the coronavirus pandemic. GIJN has collected some of the best reporting to date, hoping these 50 examples from 17 countries will inspire even more investigative journalism.

Data Journalism Top 10: Social Distancing, Coronavirus Clusters, Flattening the Curve, Trump Cherry-Picks Data

The novel coronavirus is very much dominating the Twitter chatter among the global data journalism community this week. Our NodeXL #ddj mapping from March 9 to 15 finds The Washington Post simulating different social distancing scenarios and their effects on slowing the spread of COVID-19, South China Morning Post highlighting research into a cluster case, Süddeutsche Zeitung charting the exponential growth in countries with high infection rates, and The New York Times spotlighting the jobs which put workers at the greatest risk of contracting the virus.

What We’re Reading: Like Everyone Else, Everything About COVID-19

This week’s Friday 5, where we round up our favorite reads from around the online world in English, includes tips for journalists covering COVID-19, news from Investigative Reporters & Editors about a NICAR20 conference attendee testing “presumptively positive” for the virus, and the latest on media conference cancellations around the world — including GIJN’s own Asian Investigative Journalism Conference.

GIJN’s Data Journalism Top 10: Coronavirus Outbreak, Misleading Graphs, Smartphone Tracking, Trash Can Banging, Mexico Murders

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 27 to February 2 finds The New York Times and Der Tagesspiegel tracking the spread of the Wuhan coronavirus, TED-Ed educating viewers about how graphs can be manipulated to mislead readers, and a baseball fan watching every Houston Astros home game in 2017 to log each time they banged a trash can as part of a sign-stealing scandal.

GIJN’s Data Journalism Top 10: Mapping Coronavirus, Saving the Nile, Protests in Hungary, Annotating Visualizations

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 20 to 26 finds the Johns Hopkins Center for Systems Science and Engineering mapping the Wuhan coronavirus outbreak, Al Jazeera analyzing the impact that Ethiopia’s mega-dam project will have on the Nile river and its surroundings, Der Tagesspiegel outlining the changes in America over the course of Donald Trump’s presidency, and Alberto Cairo highlighting the importance of annotating data visualizations.