Data Journalism Top 10: Coronavirus Super-spreaders, Massive Unemployment, COVID-19 Life Expectancy, Violent Cops

Economies around the world have taken a big hit as countries implement lockdown measures to curb the spread of the coronavirus. Our NodeXL #ddj mapping from May 4 to 10 finds The New York Times looking into businesses that could be potential infection super-spreaders, and the alarmingly high unemployment rate, while German news media NDR and ZDF heute have examined lost life expectancy due to COVID-19 and the importance of intensive care beds. While Reuters published an important analysis into the use of little-known law that is increasingly being used to grant immunity to police who have used excessive force.

Data Journalism Top 10: Viral Dataviz, DIY Masks, Breaking the Wave, China and US Response to COVID

From “flattening the curve” to “social distancing,” and now “breaking the wave,” the global data journalism community is using new terminology in its attempts to explain the intricacies of COVID-19 to the masses. Our NodeXL #ddj mapping from April 6 to 12 finds Reuters Graphics explaining their “breaking the wave” chart, The Washington Post helping readers figure out the best material to use to make their own masks, the Financial Times comparing the response of China and the United States in handling the pandemic, and Press Gazette highlighting the huge appetite for data-driven visual journalism about COVID-19.

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.

GIJN’s Data Journalism Top 10: Partisan School Books, Holy Walks to Nando’s, Brazil’s Bolsonaro, How to Become UK Prime Minister

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 6 to 12 finds the New York Times exposing partisan editing in school textbooks, a new data science platform from Turkey, Delayed Gratification’s infographic on how to become the British prime minister, Alberto Cairo making his graphics available for free, and an analysis of fact-checks of Brazilian President Jair Bolsonaro.

GIJN’s Data Journalism Top 10: Australia’s Deadly Wildfires, Sigma Awards, Best of Data Viz 2019

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from December 30, 2019 to January 5, 2020 finds The New York Times examining Australia’s brutal fire season, the launch of The Sigma Awards to honor outstanding data journalism, Der Tagesspiegel analyzing the major changes across the globe in the past decade, and inspiring best-of data visualization lists by Nathan Yau, Pew Research Center, ZEIT ONLINE, the Los Angeles Times and the Financial Times.

GIJN’s Data Journalism Top 10 for 2019: People Are The Story, Pirates vs. Princesses, Open Source Journalism, How Charts Lie, UN Votes

Throughout this year, we’ve brought you weekly “snapshots” of the Twitter conversation surrounding data journalism. But this week, we look at what the global data journalism community tweeted about the most during all of 2019. Below you’ll find links to stories from Brazil, Germany, Switzerland, the UK, the US, and elsewhere.

GIJN’s Data Journalism Top 10: Open Source, Artificial Intelligence, Interactive Oceans, Bar Chart Races, EU Polling

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from November 25 to December 1 finds The New York Times profiling Bellingcat and its use of OSINT techniques; the International Consortium of Investigative Journalists and Stanford University collaborating to employ artificial intelligence to solve a journalistic problem; and the Science Communication Lab creating a beautiful interactive scientific poster to explore the world’s oceans.

GIJN’s Data Journalism Top 10: Thanksgiving Travel, Visualization Art, Bad Charts, Dataharvest

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from November 18 to 24 finds Google Trends mapping the busiest places and times for Thanksgiving, Al Jazeera profiling the work of data journalist Mona Chalabi and her hand-drawn visualizations, the Tow Center for Digital Journalism examining the use of machine learning and artificial intelligence in journalism, and the Investigative Reporting Workshop collating useful public datasets in one place.

GIJN’s Data Journalism Top 10: Dealing Brexit, Following the Money, Swiss Greens, and a Kyrgyz Park Scam

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from October 21 to 27 finds a panel of leading data visualization practitioners discussing the practice of visualization in an age of disinformation, Kloop exposing how Kyrgyzstani authorities privatized large swaths of a public park with no oversight, and The Guardian highlighting the minimal changes between former British prime minister Theresa May’s Brexit deal with current PM Boris Johnson’s new deal.