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 29 to February 4 finds an @UpshotNYT analysis of the influence of Trump’s tweeting on Republicans’ attitudes towards the NFL, a new font typeface made out of human silhouettes created by @albertocairo and a fun Graphic Continuum card set by @jschwabish and @dataviz_catalog to use in the classroom.

How They Did It: The Azerbaijani Laundromat

In September, the Danish national newspaper Berlingske, in partnership with the OCCRP and other international media partners, exposed a complex money laundering scheme led by Azerbaijan’s elite. The stories revealed that, between 2012 and 2014, $2.9 billion connected to the country was siphoned through European companies and banks. Here’s how they got the story.

How to Make Audiences Love Good Journalism

Changing the way accountability stories are written takes research, preparation, listening and even a bit of psychology. In an excerpt from from a recent American Press Institute report, here are some recommendations from experts about persuasion and communications — as well as examples from news organizations that are using non-narrative, data and visual elements to make the best of journalism better for audiences.

Top Ten #ddj: This Week’s Top Data Journalism

What’s the global #ddj community tweeting about? Our NodeXL mapping from June 19 to 25 includes Germany’s housing discrimination problem by @SPIEGELONLINE and @br_data, data on police interaction with the public from @StanfordEng and @StanfordJourn and a report on big data for gender from @Data2X.