Data Journalism

This Week’s Top 10 in Data Journalism

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Iconic Infographics: Interactive of the most iconic infographics in the past 300 years, by RJ Andrews.

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 19 to 25 finds economist @SethS_D analyzing Spotify data to find the correlation between our birth year and our music influences, @infowetrust illustrates three centuries of iconic infographics in a beautiful 17th century-styled dataviz and @EdjNet‘s Stats Monitor gives you #ddj news leads on European data.

What’s Your Favorite Tune?

Economist Seth Stephens-Davidowitz analyzed Spotify music data to see to what extent the year we were born influences the music we listen to. He discovered a pattern where men’s and women’s favorite songs largely came out when they were ages 14 and 13, respectively.

300 Years of DataViz

RJ Andrews created a cool full screen interactive is in the style of a 17th century manuscript, which lets you explore the first 300 years of data visualization. He also has a detailed blog on the process of creating and troubleshooting it.

Eurostat’s Monitor

The European Data Journalism Network has a Stats Monitor that gives you news leads based on data from Eurostat. It signals interesting trends, changes and outliers. The platform allows you to visualize your stories and embed charts directly on your own website.

Guide to NICAR

Overwhelmed by the 2018 CAR Conference schedule? IRE has come up with a NICAR Guide with three possible paths: first-timer, data focused and upping your viz game.

Fast and Furious 5G

Telecommunications provider Swisscom is planning to roll out 5G technology in Switzerland in the fourth quarter of 2018. Tages-Anzeiger created a simple interactive to show readers how fast downloads will be compared to the current 3G and 4G technology.

Berlin Noise Pollution

How loud is it at your doorstep? Find out your street’s noise decibel level with Berliner Morgenpost’s interactive visualization of noise pollution in Berlin. Three causes are pinpointed: traffic, public transportation and airplanes.

Car Thefts in São Paulo

Estadao analyzed more than 419,000 car robberies in Greater São Paulo over the past decade and visualized them in this sensational dataviz. It found that the crime migrated from the center to the periphery of the metropolitan region.

Brazil’s Data Transparency

O Globo reported that up until early February, only 47 percent of federal agencies in Brazil complied with a decree requiring data transparency, which was instituted in May 2016 when Dilma Rousseff was president.

The Data Deliverer

Abraji profiles Alvaro Justen, nicknamed Turicas, an activist and collaborator of free software projects since 2004, highlighting his informative data projects.

stringr Tutorial

Manipulating characters – aka non-numerical data – is an essential skill for anyone looking to visualize or analyze text data. This Storybench tutorial goes over base R functions for manipulating strings in R, and introduces the stringr package.

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

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

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