Data Journalism Top 10: Deadly Russian Births, Pacific Mining Plunder, Toxic Dams, Cool Rocks, Extreme Rainfall, Analyzing Chess

Our NodeXL #ddj mapping from May 31 to June 6, which tracks the most popular data journalism stories on Twitter each week, found a project by the Guardian explaining who profits from the mass extraction of the region’s natural resources. In this edition, we also feature an investigation by IStories into maternal and infant mortality in Russia, a look into the toxic threat caused by aging dams in the US by Undark Magazine, and an analysis of wildlife trade in Southeast Asia by GIJN member Oxpeckers.

Data Journalism Top 10: Simple Google Searches, COVID Contracts, Mining Indigenous Land, Nashville Hot Spots, Blackstone in Berlin

Have you ever noticed how your Google search results now appear with boxes of information extracted from the websites by the search engine? Our NodeXL #ddj mapping from November 9 to 15 found The Markup’s new “Simple Search” browser extension, which allows you to view the best results in the “traditional” Google search format. We also discovered a visualization of the connection between members of the ruling British Conservative Party and COVID-19 contracts, InfoAmazonia’s investigation into mining requests in protected Indigenous land in the Amazon, and German daily Der Tagesspiegel showing that the American private equity group Blackstone is a major private property owner in the German capital, Berlin.

Data Journalism Top 10: Ranking Halloween Candy, Formula 1, Canadian Prisons, COVID-19 Indoors

Gearing up for Halloween? You’ll want to refer to our NodeXL #ddj mapping from October 19 to 25. We found FiveThirtyEight’s ultimate Halloween candy ranking from the archives to please the palates of finicky trick-or-treaters. This edition also includes The Economist’s mathematical model to determine whether Formula 1 racing success depends on its driver or the car engineer; The Globe and Mail examines bias in Canada’s prison system; and El Pais looks into how to reduce the probability of COVID-19 transmissions indoors.