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.
— Randy Olson (@randal_olson) February 11, 2018
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.
— Veri Gazeteciliği Platformu (@DagmedyaVeri) February 22, 2018
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.
— European Data Journalism Network (@EdjNet) February 19, 2018
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.
— IRE and NICAR (@IRE_NICAR) February 23, 2018
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.
How fast will 5G internet speeds be? This site compares the downloading of an 800MB movie file to previous generations. Wow.
(In German but you’ll get it).https://t.co/NQUvMj9GKw
— Roberto Rocha (@robroc) February 26, 2018
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.
— Julius Tröger (@juliustroeger) February 19, 2018
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.
Interactive map of São Paulo about where cars are being stolen. 10 years ago, there were more case in the city center, now it’s more in the suburbs.
— Paul Blickle (@colorfuldata) February 27, 2018
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.
Menos da metade dos órgãos federais cumpre decreto de dados abertoshttps://t.co/vDkRa2N6rZ
— Leonardo Cazes (@leonardocazes) February 22, 2018
The Data Deliverer
Abraji profiles Alvaro Justen, nicknamed Turicas, an activist and collaborator of free software projects since 2004, highlighting his informative data projects.
Nosso querido @turicas, rei da @EscolaDeDados e dos primeiros homens, filho da tormenta, libertador de dados, quebrador de captchas, primeiro do seu nome e descendente da casa Python! https://t.co/WgXH8Yxjbt #ddj#turicas
— Natália Mazotte (@NataliaMazotte) February 21, 2018
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.
— Disrupt MediaLab (@dmedialab) February 23, 2018