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GIJN’s Data Journalism Top 10: Fall Foliage, Housing Data, Knife Crimes, Charts vs. Text

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from October 7 to 13 finds The New York Times tackling the topic of auto emissions as a significant climate problem, The Washington Post mapping the colors of America’s fall foliage, the St. Louis Post-Dispatch sharing its newsroom process in data transparency, and Nicholas Strayer offering a tutorial to build your own cool resume using R.

Fantastic Fall Foliage

Using forest species data from the US Department of Agriculture, The Washington Post mapped forest type, leaf type, and fall foliage colors across the United States, ranging from mostly evergreen to yellow, red, and even places that are unlikely to be colorful during autumn.

Climate Problem: Auto Emissions

Auto emissions are a huge contributor to planet-warming greenhouse gases. The New York Times mapped in detail a year’s worth of carbon dioxide emissions from passenger and freight traffic on every road in the United States. Americans — find out the percentage increase of total emissions in your region since 1990.

Data Transparency

Sharing data and reproducible data analysis behind data-driven stories is one way to open up a newsroom’s reporting process and improve transparency. The St. Louis Post-Dispatch’s Janelle O’Dea details her newsroom’s process in sharing the data behind the scenes.

Building a Resume in R

Want to know how you can build your resume using R? Nicholas Strayer, a PhD candidate in biostatistics at Vanderbilt University, shared his script and process for building a data-driven resume.

History of Dataviz: Dreams, Snakes, and Hexagons

Graphical thinkers Michael Friendly and Howard Wainer highlight some origin stories of visual thinking, including the story of German chemist August Kekulé’s discovery of the hexagonal chemical structure of the organic compound benzene around 1862 through a dream about snakes.

Sneak Peek into ‘How Charts Lie’

Here’s a sneak peek of the first 20+ pages of “How Charts Lie,” the latest book by data visualization expert Alberto Cairo. In his introduction, he quickly dives in to dissect how a “Citizens for Trump” graphic showing that a majority of citizens had purportedly voted for Trump is misleading.

Housing Data

The London-based Bureau of Investigative Journalism looked into how people get pushed into homelessness. Their work included an analysis of 62,000 rental adverts which showed that 94% of rented homes are too expensive for families on housing benefits. See the data and code behind the investigation here.

Knife Crimes

BBC News analyzed police statistics of knife attacks across England and Wales. Although London remains the most dangerous hotspot, such offenses have risen sharply in areas outside of the capital. Manchester, Liverpool, Slough, and Nottingham are all in the top 25 most dangerous places for serious knife crime.

Charts vs. Text

There’s a discussion on Twitter on whether charts can reduce audience’s misconceptions significantly, compared to chunks of text or headlines.

CODA BR 2019 Conference

Registration is open for the fourth edition of the CODA BR conference, to be held on November 23 and 24 in Paulo, Brazil. The data journalism conference will feature dozens of workshops to enhance one’s techniques in handling data. Keynote speakers are Aron Pilhofer, Cheryl Phillips, Jonathan Phillips, and Matt Kiefer.

Thanks, once again, to Marc Smith of Connected Action for gathering the links and graphing them. The Top Ten #ddj list is curated weekly.

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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