GIJN’s Data Journalism Top 10: European Election, Data via Audio, Tax Fraud & Parserator

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What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from May 27 to June 2 finds immense buzz around the recent European Parliament elections, with @SZ explaining the EU political landscape, @morgenpost looking at the results in Berlin, and @journocode collecting data journalism pieces related to the election. There’s also @datajournalism‘s tips on presenting data through audio and @BIRNSrbija‘s data investigation into major corporate tax fraud in Serbia.

Presenting Data Through Audio

Data journalism is typically associated with data visualization, but it can be presented for the ears as well as the eyes. A mix of journalists and experts — Sophie Chou, Michael Corey, Adèle Humbert, Petr Kočí, Jacques Marcoux and Paul McNally — shared tips and techniques for representing data through audio.

Test Your European Knowledge

In the same vein as The New York Times’ “You Draw It” interactives, BR24 has produced 10 interactive quizzes for you to test your knowledge of the European Union. The questions range from whether citizens trust the European Parliament to which EU country has the highest proportion of foreigners.

Explaining the European Party Landscape

The recently elected members of the European Parliament come from 28 different countries and 181 different national parties. In order to work effectively, these parties join forces to form transnational groups. Süddeutsche Zeitung tries to explain where these groups lie on the political spectrum and how they fit together.

European Election Card in Berlin

Berliner Morgenpost created an interactive map showing how Berliners voted in the recent European election. Check out which were the three strongest forces, the districts that changed hands, places where non-voters could have swung the vote, and more.

More on the European Election

Interested in more European election data journalism stories? Journocode has collected more than 30 here and are asking for more contributions here. Datajournalism.com also has a newsletter on how data journalists tackled coverage of the election here.

Parserator

Parserator is not a new tool, but it comes in handy for parsing messy and large volumes of addresses, names or any unstructured text into useful components. Data Journalism Turkey recommends it here. More details on Github.

#FollowFriday: @albertocairo

Interested in data visualization and how you can make your infographics better? Follow data viz expert Alberto Cairo’s blog. He provides constructive critiques on existing charts, tips and food for thought.

Data Investigation Into Tax Fraud

BIRN Serbia investigates a huge corporate and tax fraud scheme in Serbia involving more than 2,000 companies that have successfully avoided paying tens of millions of euros in taxes.

Hungary’s Residency Permit Boom

The number of residency permits in Hungary issued to non-EU nationals increased dramatically in 2017. Atlatszo visualized the data of permits issued for different reasons from 2009 to 2017. You can also filter by country.

Webinar: Open Data Asia

Resource Watch, Earth Journalism Network and Internews are organizing a training webinar for journalists based in Asia on June 12. Explore how you can utilize public datasets for your reporting.

Thanks, once again, to Marc Smith of Connected Action for gathering the links and graphing them. The Top Ten #ddj list is curated weekly.

Eunice Au is GIJN’s program coordinator. Previously, she was a Malaysia correspondent for Singapore’s The Straits Times, and a journalist at the New Straits Times. She has also written for The Sun, Malaysian Today and Madam Chair.

 

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

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