Document of the Day: DataViz Cheatsheet

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.

GIJN’s Data Journalism Top 10: Muslims to Mecca, Women (Not) in Netflix, Inside Airbnb Europe, London’s Foul Air

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from Aug 20 to 26 finds @Numerama analyzing the representation of women in @netflix series and finds it lacking, @AJEnglish creating an interactive explainer on how 2 million Muslims make the pilgrimage to Mecca every year, @FT readers brainstorming air pollution solutions for London, and @Bastamag digging into data of @Airbnb — a cash cow for home renters.

GIJN’s Data Journalism Top 10: Egyptian Bots, Pocket Inequality, Loner Jobs and Knife Emergencies

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.

GIJN’s Data Journalism Top 10: Dam Disaster in Laos, Global Star Gazing, Why We Love Pie Charts

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.

GIJN’s Data Journalism Top 10: Nike’s Vaporflys, Trump’s Trade War, FastCharts, Datapasta

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from July 16 to 22 finds @UpshotNYT confirming Nike’s claim that their Vaporflys really do give runners an advantage, @FinancialTimes visualizes Trump’s escalating trade war, Britain’s digital divide and introduces their new charting tool and @MilesMcBain makes some data journalists very happy by creating Datapasta.

This Week’s Top 10 in Data Journalism

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from March 19 to 25 finds a sobering study on income inequality between black and white males visualized by @nytimes, a cool time-lapse graphic of snow fall in the United States by @PostGraphics and peak baby-making seasons by country by @VismeApp and @ddjournalism.

This Week’s Top 10 in Data Journalism

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 12 to 18 finds @MattLWilliams discussing the ethics of publishing Twitter content, @MaryJoWebster explaining several common “dirty data” problems and @MediaShiftOrg showing examples of the powerful impact of small data teams in newsrooms.

This Week’s Top 10 in Data Journalism

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 29 to February 4 finds an @UpshotNYT analysis of the influence of Trump’s tweeting on Republicans’ attitudes towards the NFL, a new font typeface made out of human silhouettes created by @albertocairo and a fun Graphic Continuum card set by @jschwabish and @dataviz_catalog to use in the classroom.

This Week’s Top 10 in Data Journalism

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 1 to 7 has data journalism and data visualization roundups by @ddjournalism and @flowingdata, podcasts by @datastories and @fabrider, as well as an analysis on prices corresponding with ski resort altitudes by @duc_qn.