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.

GIJN’s Resource Center: LGBTQ Resources

The areas for journalistic inquiry into LGBTQ issues are as broad as the communities themselves, ranging from shifting demographics and healthcare to hate crimes and discrimination. To help boost investigative reporting on these pressing issues, GIJN has assembled a list of key resources for journalists worldwide.

Data Journalism’s Top Ten

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from July 24 to 30 has @qz comparing the cost of Trump’s golf trips to transgender healthcare, @visualisingdata sharing a chart-making directory and graphics guru @EdwardTufte applying Ezra Pound’s 23 “don’ts” for writing poetry to design.