For GIJN’s My Favourite Tools series, we spoke with Indian journalist and information designer Gurman Bhatia. She has worked at the Hindustan Times in Delhi and been a part of the award-winning team at Reuters Graphics, where she worked on visualizations for topics as diverse as election fraud in India, use of force during protests in Hong Kong, and bushfires in Australia.
For our series on journalists’ favorite tools, we spoke to Alberto Cairo, head of visualization at the University of Miami’s Institute for Data Science and Computing. Cairo shared several user-friendly tools and core principles to help investigative reporters shape their data visually to create new insights for audiences.
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.
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.
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.
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.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from October 9 to 15 has @RTSinfo looking into flight sharing platform @Wingly_UK, while @srfdata finds millions of fake @instagram followers, @jwyg charts the growth of all Internet sites, and @nytimes collaborates with @AmstatNews to promote critical thinking and data literacy.
Here are the hottest data journalism tweets for Jan 23-29, per our NodeXL mapping: 100 Years of infographics (@NatGeoMag); Trump’s wall size (@thetruesize); Women’s March (@womensmarch); journocoding (@journocode); dataset viz 25 ways (@flowingdata); dataviz stocktake (@eagereyes); & more.
What’s the data-driven journalism crowd tweeting? Here are top links for Oct 17-22: challenging dataviz assumptions (@eagereyes); Clinton/Trump facial analysis (@TheEconomist); R & RStudio (@mjfrigaard); pharma money (@srfdata); code database (@srfdata); German lobbyists (@tagesspiegel); & more.
