What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from June 10 to 16 finds a gorgeous series of data visualizations by National Geographic on the Pacific’s Ring of Fire, Bloomberg analyzing the influence of dynasties in Philippine politics, RStudio‘s Hadley Wickham talking about why you shouldn’t assign data cleaning to a “data janitor,” and BR Recherche looking at the complexity of privacy policies.
Ring of Fire
Here are some gorgeous data visualizations and analysis by National Geographic on the Pacific’s Ring of Fire — a 40,000 km volcanic belt stretching from New Zealand to the tip of South America with potential to disrupt hundreds of millions of lives in 40 countries.
If I was asked to show one beautiful example of #geojournalism, I think this would be the one, published this month by @NatGeo – The Ring of Fire https://t.co/v13mGlFx2K #ddj pic.twitter.com/47QZIM8m8O
— Gustavo Faleiros (@gufalei) June 11, 2019
Dynasties in the Philippines
The Philippines’ politics has long been dominated by dynasties: the Aquinos, Osmeñas and Marcoses. Bloomberg takes a closer look at the nation’s influential families and visualizes their power and positions over the years.
Philippine politics is pretty much "a group of families with ever-changing alliances battling for power across a diverse archipelago." Bloomberg breaks down major political dynasties through briefs and data, via @ClaireJiao, @hannahdormido: https://t.co/wmbEjUJTGk
— Regine Cabato (@RegineCabato) June 12, 2019
The Problem of Having a “Data Janitor”
Have you ever heard of a bear obstructing data collection? Read this interview with RStudio’s chief scientist Hadley Wichkam. He talks to ProPublica’s Hannah Fresques about how to find stories in commonplace data, the problem of having “data janitors,” the need for symbiosis between those who use R and those who use Python in the newsroom, and more.
The importance of getting the backstory for weird findings in your data is worth the hassle of the phone call — as described below, that's saying a lot for the importance of understanding your data! 🐻
— Caitlin Hudon👩🏼💻 (@beeonaposy) June 10, 2019
Do You Read Privacy Policies?
Inspired by a BBC article, BR Recherche and BR Data used a text analysis tool developed by two scientists at Germany’s Universität Regensburg to analyze the privacy policies of several platforms, including Twitter, Facebook and Instagram. They discovered that the policies were far too complex for users to understand and required far too long a time to read. The New York Times also came to a similar conclusion here. (In German.)
— Robert Schoeffel (@robschoeffel) June 11, 2019
Fun Infographics for Kids
Here’s a fun way for children to learn about data visualization. In “Yo y El Mundo” (Me and the World), authors Mireia Trius and Joana Casals present a colorful collection of infographics on a wide range of topics, from breakfasts in different countries to cities with the worst traffic. Although the book is in Spanish, data viz expert Alberto Cairo recommends it to all.
— Paul Laughlin (@LaughlinPaul) June 12, 2019
Hong Kong Protests
The Financial Times uses Google Earth Studio to visualize the progression of the recent Hong Kong protests against a controversial extradition bill. The bill, which was suspended indefinitely on June 15, would have allowed the extradition of suspects from Hong Kong to face trial in mainland China.
ANIMATION showing how the Hong Kong protests unfolded. First use of #googleearthstudio on a live job. Amazing tool to use.
— Steven Bernard (@sdbernard) June 14, 2019
Fundamentals of Data Visualization
The book “Fundamentals of Data Visualization” by integrative biology professor Claus O. Wilke will teach you the basics, including visualizing amounts, distributions, proportions, trends, geospatial data, and more. The book’s source code is hosted on GitHub. Data Journalism Turkey profiles the book here.
This image (I don't know source, anyone?) came across my TL and I figured it was a good time to plug @ClausWilke's new book on data visualization so nobody ever makes a figure like this ever again. https://t.co/ULmzZi16nt pic.twitter.com/h001U2QVPx
— Stephanie Spielman, PhD (@stephspiel) June 14, 2019
Female Representation in Art Museums
“When you ask the audience what art they want to see, we often hear the names of well-known male artists,” says Björn Quellenberg, Kunsthaus Zürich art museum’s spokesperson. Swissinfo.ch and Radio Télévision Suisse analyzed exhibitions held from 2008 to 2018 in 80 art museums and galleries in Switzerland and found that only a quarter of the solo exhibitions were works by women. (In German.)
Wie viele Ausstellungen in Schweizer Museen sind Frauen gewidmet? Wir haben bei 125 Kunstmuseen nachgefragt. Unsere Recherche mit @RadioTeleSuisse zeigt, wer gleich viele Männer wie Frauen zeigt – und wo es Nachholbedarf gibt. https://t.co/ifhOoL78dl#ddj #womensart pic.twitter.com/i5U0lQZxv4
— swissinfo.ch (@swissinfo_de) June 7, 2019
Neue Osnabrücker Zeitung’s research suggests that the German government’s provision of childcare has sorely underestimated the country’s needs for daycare services catering to toddlers under three years old. Data on Github. (In German.)
Habemus #ddj–#Scrollytelling: @BSchwentker hat für @noz_de, @shz_de und @SVZonline berechnet, dass die Bundesregierung den Bedarf an U3-Betreuung offenbar massiv unterschätzt: https://t.co/HisgLT26hw Die Rechnungen dazu gibt's hier: https://t.co/nZkSFt3mYx pic.twitter.com/euweh7PxBS
— Anna Behrend (@annabehrend) June 13, 2019
Data Visualization Critique
“In many cases, it’s not necessarily what you say, but how you say it.” Economist Jonathan Schwabish shares his thoughts on how polite we need to be in critiquing others’ data visualizations.
— Andy Cotgreave (@acotgreave) June 12, 2019
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.