Data Journalism
Data Journalism Top 10: #StayAtHome by Income, Spanish Flu, African Americans, Flattening the COVID Curve
Data journalists are starting to dig into the impact of the coronavirus and social distancing measures on poorer communities. Our NodeXL #ddj mapping from March 30 to April 5 finds The New York Times and Reuters using smartphone location tracking data to analyze the relationship between income and changes in people’s movements post-lockdowns, National Geographic visualizing how earlier implementation and longer social distancing measures can help slow infections and lower death rates, and ProPublica looking into the disproportionate infections among African Americans.