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

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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.

Backed-Up Train Conga Lines

New York subway commuters are familiar with the wait, with rising ridership and overcrowding supposedly to blame. But The New York Times is busting this myth with some compelling interactive visualizations, showing that decisions by the transport authority to change worker safety rules and the trains’ signal system is the cause of backed up train conga lines.

Digging Out Illegal Amber Mining

The golden years for amber diggers in Ukraine were between 2014-2016, which led to environmental disaster in thousands of acres of land. Texty.org.ua shows the places mutilated by illegal mining using machine learning to find satellite image evidence.

Bang for Your Higher Education Buck

Swissinfo.ch combined three well-known international rankings of higher education institutions and analyzed them alongside tuition fee data in an attempt to find the best universities which also offer the best value for your money.

Mapping Routes of Asylum Seekers

At this week’s Open Vis Conf in Paris, France, a lot of good data visualizations have surfaced. One notable visualization is “The Stories Behind A Line” — a visual narrative of six asylum seekers’ routes.

Not Just for the Nerds in the Corner

Reach (formerly Trinity Mirror) data unit head David Ottewell believes the danger with data journalism is if it is seen as a niche only for “the nerds in the corner.” He says there are a lot of important statistics put out by the government that aren’t properly analyzed, so there’s scope for more journalists to do that.

Traveling Through Trump Country

In the first 15 months of Donald Trump’s presidency, The Washington Post traveled through the midwest and surveyed how attitudes and feelings towards Trump have changed gradually over time.

Color Palette R Package

PaletteR is an R package which lets you extract, from any image, a custom number of representative colors. It is a young package with a lot more work to be done — contributions are welcome.

Data Visualization Catalog

The Data Visualization Catalogue ranging from arc diagram to word cloud is available in English, Chinese, Spanish, Russian and Turkish. Find out how to use circle packing or marimekko chart with its useful description and suggestions of tools to generate such data visualization.

Tracking Colombia’s Peace Progress

“La Paz en el Terreno,” the journalism project tracking Colombia’s progress towards peace sure is attracting a lot of attention. This is the third consecutive time it made the Top 10 #ddj, this time with a piece by the International Center for Journalists.

Fast vs. Slow Charts

Netflix senior data visualization engineer Elijah Meeks discusses the benefits and pitfalls of “fast charts” versus “slow charts”.

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.

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