Economist Jonathan Schwabish created a handy data visualization cheatsheet with straightforward key principles to adhere to when creating data visualizations. Remember: avoid 3D, make labels easy to read and try small multiples.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from Sept 3 to 9 finds @FiveThirtyEight attacked by the green-eyed monster with their equivalent of Bloomberg’s “Jealousy List,” @daswasfehlt breaks down Austria’s export of arms, @GoogleAI announces the beta launch of Google Datasets Search, and @SZ documents how climate change is wreaking havoc on temperatures in Germany but boosting ice-cream sales.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from Aug 27 to Sept 2 finds @nytclimate personalizing climate change, @npr fact-checking the US Education Department’s school shooting data, @dwnews calculating the cost of travel to the environment, and @junkcharts dissecting the strengths of Thailand cave rescue data visualizations.
Data journalism is booming in Latin America, particularly in Argentina. La Nación data journalist Carolina Ávila, who led the team that won the best use of data in a breaking news story category in the 2018 Data Journalism Awards, shares their secret to success — an interdisciplinary team, creativity and ability to turn around stories quickly.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from Aug 13 to 19 finds @puddingviz proving that women’s pockets are inferior to men’s once and for all, @vizzuality pondering the impact cartographers have on our understanding of the world by presenting nocturnal activity in daytime maps, @InfoTimes_ discovering the bots behind the political debate in Egypt and @hnrklndbrg’s visualizations on everything from loner jobs to knife emergency room visits.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from Aug 6 to 12 finds @sciam profiling a new color scale for the color blind, @EDudinskij’s fun dissertation on dataviz in science fiction movies, @morgenpost using satellite imagery to show the consequences of droughts, and @gregladen and Grant Foster calling bull on a climate change denier’s flawed graphs.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from July 30 to Aug 5 finds practical advice from @junkcharts for conference presenters to showcase their graphics, @Google making data in data journalism pieces more searchable, @funkeinteraktiv displaying the ways Germany is breaking records this summer, @eldiarioes examining Spain’s immigration boom and author Colin Woodard breaking down America’s regional cultures in The New York Times.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from July 23 to 29 finds @NadiehBremer visualizing beautiful constellations imagined by different cultures, @mslima diving deep into why we love pie charts, @leigh_tami18 explaining the various methods of joining datasets and the Reuters Graphic’s team visualization of the dam disaster in Laos.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from July 9 to 15 finds @morgenpost’s interactive slider showing how fast a German national footballer earns your monthly salary, tons of interesting Google search data in its @GoogleTrends data store, @durand101 and @puddingvizgender exposing bias in the UK House of Commons and @EdjNet offering a search engine for 800,000 EU datasets.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from July 2 to 8 finds @MarieSegger’s tips on highlighting data journalism using GIFs, @jplusplus_’s news finding bot service and Kepler.gl’s data-driven mapping tool.
