Data Journalism

This Week’s Top Ten in Data Journalism

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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 by @tagesspiegel, @SPIEGELONLINE, @NZZ, @morgenpost, @zeitonline and more.

Mapping Uber London

Financial Times mapped an Uber driver’s day on the road in London. Driver Mark Cairns shared data on his shifts since the ride sharing company was threatened with a ban in the UK capital.

2018 NICAR Conference

#NICAR18 registration is now open! Register for this hands-on data journalism training in Chicago from March 8 to 11, 2018.

 

RAWGraphs Tutorial & More

Data visualization expert Alberto Cairo updated the tutorials and resources section on his blog with a RAWGraphs tutorial. Check out the rest of the tutorials on data cleaning, wrangling data, styling charts and more.

Africa’s Internet Shutdowns

Quartz reporter Abdi Latif Dahir created this graphic, using data from The Collaboration on International ICT Policy for East and Southern Africa to show the extent of the problem of internet shutdowns in Africa.

StoryLab Academy Opportunities

Sign up here to receive alerts about the next StoryLab Academy webinars, newsroom-based workshops and meetups in partnership with local Hacks/Hackers chapters.

Sparkline Font Tutorial

After the Flood’s AtF Spark font which turns numbers into sparklines has created a buzz among the #ddj community. Paul Bradshaw wrote this tutorial on how to use the font if you’re not already familiar with web fonts and other technicalities of web design.

German Election Dataviz Recap

This post lists the colourful scope of projects Moritz Klack and Christopher Möller did in collaboration with the interactive team of the Berliner Morgenpost, as well as stories from other newsrooms that visualize the election results.

German Election Deciders

Where was the government most unpopular? Which constituencies have made the AfD and FDP parties so strong? These maps, built by Spiegel Online with MapboxGL, show which regions where the election was decided.

Correlations of German Election

This year’s German election has brought about many surprising results, which sparked a discussion on Twitter as to whether election results can be explained by sociodemographic factors. Here are the 50 strongest correlations of election results and structural features in Germany’s 299 constituencies.

German Coalition Scenarios

Spiegel Online evaluates the possibility of coalitions forming in different regions of Germany across 299 constituencies and displays it in six maps.

Thanks, once again, to Marc Smith of Connected Action for gathering the links and graphing them.

For a look at Marc Smith’s mapping on #ddj on Twitter, check out this map.

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