Data Journalism Top 10: Pace of Global COVID-19 Deaths, Who Can Work from Home, Visualizations for the Colorblind, Skin Tone and Sports

It is hard to comprehend the true impact of COVID-19 around the world. Our NodeXL #ddj mapping from June 29 to July 5 finds Reuters trying to visualize the alarming rate of deaths related to the coronavirus pandemic, Datawrapper examining which employees can actually afford to work from home, and data journalist Carmen Aguilar García writing about using R programming language and automating repetitive data processes in order to keep up with the demand for pandemic news.

Reporting on COVID-19 in Africa: A Collaborative Story Idea List

What is the best way into the COVID-19 story? Pick an angle. No matter what your beat is, the pandemic is seeping into almost every story. In response, the Kampala-based African Centre for Media Excellence (ACME) created a running list of story ideas on COVID-19 which stretches across beats: from agriculture and food to the economy, education, religion, sports, and arts and entertainment.

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: Aging Wimbledon, Must-Read DataViz, Bad Charts, German Opera

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from July 15 to 21 finds Information Is Beautiful’s sharing its gallery of must-read data visualization books, Datajournalism.com highlighting pitfalls in creating charts, the FT analyzing the age of Wimbledon players, and WDR scrutinizing Germany’s opera repertoire.

GIJN’s Data Journalism Top 10: New York’s Luxury Homes, Climate Dangers, Inspiring Data Viz

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from Oct 8 to 14 finds 25 inspirational data visualizations collated by @VismeApp, a @nytimes op-ed by climate scientists warning of the future dangers of heat and humidity combined, @FT maps of New York’s glut of luxury residences and @ejcnet with veteran data journalists on web scraping.