Accessibility Settings

color options

monochrome muted color dark

reading tools

isolation ruler



GIJN’s Data Journalism Top 10: Footballers’ Salaries, Google Trends and Gender Bias with Pudding

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from July 9 to 15 finds @morgenpost’s interactive slider showing how fast a German national footballer earns your monthly salary, tons of interesting Google search data in its @GoogleTrends data store, @durand101 and @puddingvizgender exposing bias in the UK House of Commons and @EdjNet offering a search engine for 800,000 EU datasets.

Compare Your Salary to German Footballers

How fast can the German national football players earn your monthly salary? Use the slider Berliner Morgenpost created to find out. Toni Kroos, Mesut Ozil, Thomas Müller and Manuel Neuer can earn 3200€ in less than 2 hours on the field.

Google Trends Galore

Find global search interests for World Cup matches, restaurants, Star Wars, hate crimes and Taylor Swift versus Ed Sheeran versus Korean boyband BTS during the Billboard Music Awards and more in the Google Trends data store. Download and play with key datasets curated by the News Lab at Google team.

Gender Bias

This year marks a century since some women in the United Kingdom were awarded the right to vote in and stand for elections. Pudding looks at the gender parity in the House of Commons and the time spent by both genders on different topics. Women spent more time discussing welfare reforms, childcare and social care, while men talked more about energy, legislation and the armed forces.

European Data Search Engine

The European Data Journalism Network launched a data search engine to help journalists trawl through more than 800,000 datasets collected by the European Data Portal and the EU Open Data Portal. The tool is developed and maintained by Osservatorio Balcani Caucaso Transeuropa and suggestions to improve it are welcomed.

Conversations on Open Data

Data Driven Journalism’s 5th edition of its Conversations with Data newsletter focuses on open data. Nikesh Balami, Natalia Carfi, Paul Bradshaw, Eva Constantaras, and others offer advice and experience in working with open data.

From Data to Viz

A decision tree from Data to Viz helps you pick the right graph to visualize your data based on your input. The tree leads to 20 visualization formats representing the most common dataset types.

Call for Data-Driven News Production

The European Commission launched a second call for proposals in the field of data-driven news production. Applicants are invited to submit proposals to increase reporting on European issues from pan-European viewpoints and/or by comparing different viewpoints from within Europe, using data-driven techniques. Deadline is September 17, 2018.

Data Tipsheets (Arabic & English)

The first Arab Data Journalism Conference was held this year from March 6 to 8 in Egypt. Here are 16 tipsheets from the conference, covering tips on using data in breaking news to producing data-driven sports stories.

Statistical Data Analysis Tool (Turkish)

inZight is a free, easy to use software for statistical data analysis which was initially designed for New Zealand high school students. Data Journalism in Turkey wrote a short tutorial on the software.

Flourish DataViz Tool

Digital journalist Bernd Oswald breaks down some benefits and features of Flourish, a data visualization tool, and highly recommends it for data journalists.

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

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.

Republish our articles for free, online or in print, under a Creative Commons license.

Republish this article

Material from GIJN’s website is generally available for republication under a Creative Commons Attribution-NonCommercial 4.0 International license. Images usually are published under a different license, so we advise you to use alternatives or contact us regarding permission. Here are our full terms for republication. You must credit the author, link to the original story, and name GIJN as the first publisher. For any queries or to send us a courtesy republication note, write to

Read Next