Global Investigative Journalism Network (https://archive.gijn.org/tag/charts/page/2/)
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.
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.
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.
For newsrooms that want to produce professional looking infographics but don’t have the technical skills or budget to hire a professional, Kat Duncan came up with five user-friendly tools to help you create neat looking infographics without worrying about too much coding.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from March 19 to 25 finds a sobering study on income inequality between black and white males visualized by @nytimes, a cool time-lapse graphic of snow fall in the United States by @PostGraphics and peak baby-making seasons by country by @VismeApp and @ddjournalism.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from July 23 to 29 finds @NadiehBremer visualizing beautiful constellations imagined by different cultures, @mslima diving deep into why we love pie charts, @leigh_tami18 explaining the various methods of joining datasets and the Reuters Graphic’s team visualization of the dam disaster in Laos.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from July 16 to 22 finds @UpshotNYT confirming Nike’s claim that their Vaporflys really do give runners an advantage, @FinancialTimes visualizes Trump’s escalating trade war, Britain’s digital divide and introduces their new charting tool and @MilesMcBain makes some data journalists very happy by creating Datapasta.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from Aug 13 to 19 finds @puddingviz proving that women’s pockets are inferior to men’s once and for all, @vizzuality pondering the impact cartographers have on our understanding of the world by presenting nocturnal activity in daytime maps, @InfoTimes_ discovering the bots behind the political debate in Egypt and @hnrklndbrg’s visualizations on everything from loner jobs to knife emergency room visits.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from Aug 20 to 26 finds @Numerama analyzing the representation of women in @netflix series and finds it lacking, @AJEnglish creating an interactive explainer on how 2 million Muslims make the pilgrimage to Mecca every year, @FT readers brainstorming air pollution solutions for London, and @Bastamag digging into data of @Airbnb — a cash cow for home renters.
Economist Jonathan Schwabish created a handy data visualization cheatsheet with straightforward key principles to adhere to when creating data visualizations. Remember: avoid 3D, make labels easy to read and try small multiples.