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.

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.

Data Journalism Top 10: COVID-19 Data Viz, Brazil President’s Tweets, Beach Erosion, India’s Influencers, London by Bike, Syllabi

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from March 2 to 8 finds a list of COVID-19 related data visualizations selected by health activist Joel Selanikio, Folha De S. Paulo analyzing Brazilian President Jair Bolsonaro’s tweets, VoxEurop highlighting the potential disappearance of the world’s beaches due to climate change, and Davis Vilums mapping every central London street over four years by cycling.

Data Journalism Top 10: Royal Instagram Mystery, US Election, The Markup Launches, 100 Years of Mideast Deals

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 24 to March 1 finds The New York Times digging into some curious data from two Instagram accounts of the British royal family, Al Jazeera analyzing Trump’s plan to resolve the Israeli-Palestinian conflict, The Markup launching with an investigation into auto insurance algorithms, and Pew Research Center sharing some American election data snapshots.

GIJN’s Data Journalism Top 10: Weird Maps, ‘Out of Control’ Airbnb, Augmented Reality Graphics, Russian Doctors, Brazilian Data

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 17 to 23 finds geographer Tim Wallace collecting some amusingly unusual maps, The Guardian analyzing the effect of Airbnb’s prevalence on home ownership in Great Britain, the Data Visualization Society evaluating the successes and shortcomings of its first year, and former Ogilvy & Mather chief creative officer Tham Khai Meng sharing how a Japanese newspaper utilized augmented reality to animate graphics.

GIJN’s Data Journalism Top 10: Sigma Awards, Campaign Trail Food, Data Cleaning Nightmares, Massive Leaks

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 10 to 16 finds The Guardian US analyzing food expenditure on the Democrats’ campaign trail, The Washington Post’s Steven Rich sharing the pains of cleaning spelling permutations in data, The International Consortium of Investigative Journalists explaining the process of handling the massive #LuandaLeaks records, and the Sigma Awards announcing its shortlist.

GIJN’s Data Journalism Top 10: Women and the Oscars, February’s Sad Songs, Hollywood’s Franchises, Moscow’s Elite Owners

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 3 to 9 finds UOL highlighting the lack of gender equality among Oscar winners and G1 looking into problems of ageism in the Best Actress category. This edition also has The Economist analyzing Spotify data to find the most depressing month for listeners, Proekt Media investigating property owners in a prestigious residential area in Russia, and The Financial Times spotlighting the lack of innovation in the movie industry.

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.

GIJN’s Data Journalism Top 10: Luanda Leaks, A Disappeared Lake, Animated Graphics, Data Mapping, NICAR

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 13 to 19 finds the International Consortium of Investigative Journalists exposing how Africa’s richest woman really made her fortune, The Washington Post using satellite imagery to show the disappearance of an entire lake in the Philippines, El País sharing the behind-the-scenes process of their work, and Mike Reilley curating a mega list of useful data journalism tools.