GIJN’s Data Journalism Top 10: Useful Chatbots, Less-Is-More Tables and Data Mapping Billions of Birds

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from Sept 17 to 23 finds numerous data to map, from @NatGeo’s migration of billions of birds to @morgenpost’s Berlin schools and @A24COM’s internet access in Argentina. There’s also @dhanalytics’ tips on improving data tables and @mcrosasb on two useful chatbots.

GIJN’s Data Journalism Top 10: Egyptian Bots, Pocket Inequality, Loner Jobs and Knife Emergencies

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.

GIJN’s Data Journalism Top 10: Trump Country, Conga Lines and the Nerds in the Corner

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from May 7 to 13 finds @adamrpearce brilliantly illustrating the problem and causes of backed up trains along the New York subway, @Textyorgua_Eng highlights the destruction of Ukraine’s landscape due to illegal amber mining and @duc_qn analyzes which university gives you the best bang for your buck.

GIJN’s Data Journalism Top 10: Innovative Visualization, Data Fellowships and the Dark Side

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from April 23 to 29 finds @thetimes’ interactive which will determine whether you will join the dark side, @albertocairo discussing precedents to innovative visualizations and @srendgen talking about the technological revolution encouraging data journalism.

How They Did It: The Real Russian Journalists Who Exposed the Troll Factory in St. Petersburg

The reason we know so much about Russian disinformation operations targeting the United States is that some Russian journalists are very good at their jobs. What the world learned about these trolls, it turns out, came not from social media firms, governments or Western media, but from enterprising Russian journalists. Here’s how they first uncovered the Russian troll factory.

This Week’s Top 10 in Data Journalism

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 22 to 28 finds a gorgeous data visualisation of German streets by @zeitonline, a detailed data analysis of Roger Federer’s tennis career by @srfdata and a look at eight alternatives in redistricting US voting boundaries by @FiveThirtyEight.

This Week’s Top Ten in Data Journalism

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.

This Week’s Top Ten in Data Journalism

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from October 2 to 8 has @source’s overview of two years of mass shooting visualizations in the US, @merbroussard’s callout for information to future-proof data stories and @paulbradshaw shares his four favorite computational thinking examples from @DailyMirror, @puddingviz, @BuzzFeed and @washingtonpost.

This Week’s Top Ten in Data Journalism

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from September 25 to October 1 has @FT mapping the route in a day of a London Uber driver, #NICAR18 registration opening up, @Lattif charting Africa’s internet shutdowns using @atlascharts and loads of German election data visualizations.