How They Did It: Inside a Mega-Collaboration on the US-Mexico Wall

More than 30 journalists set out to film and observe every foot of the border with Mexico, from Texas to California. The result was a fully interactive map with about 20 hours of aerial footage of the border, a seven-chapter story about the journey, 14 additional stories about the consequences of the wall, 14 mini-documentaries and an explanation of the history of the border itself. Here’s how they did it.

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.

GIJN’s Data Journalism Top 10: Forecasting Elections, Counting Fast Food, Kampala’s Swamp City, Gasping for Air

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from October 22 to 28 finds @NateSilver538 talking about election forecasting, @BBCNews highlighting the prevalence of fast food outlets in the UK, @washingtonpost comparing how tough it is for Americans to vote by state, and @business and @HowWeGetToNext on battling for fresh air in India and Europe.

GIJN’s Data Journalism Top 10: Visualizing the 2018 News Cycle, the History of Football and Sacked Coaches

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 21 to 27 finds @schemadesign and @GoogleTrends teaming up to visualize news cycles in 2018, the @washingtonpost’s flyover tour of the entire US-Mexico border and two interesting football-related visualizations: @ftblsm’s history of football and @NZZ’s analysis of whether football coaches Jose Mourinho and Julen Lopetegui should have been sacked.

GIJN’s Data Journalism Top 10: Mapping Cholera, Tracking Trump and Canada’s Data Gaps

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 28 to February 3 finds @sciam highlighting a curious case of mapping cholera, @nbarrowman arguing that raw data is not as perfectly objective as imagined, @bbc tracking Trump’s performance, and @VismeApp compiling a list of the best data visualizations on climate change.

GIJN’s Data Journalism Top 10: Trump’s Tweets, London’s Polluted Tube, Rising Seas, Data Voids

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from November 4 to 11 finds The New York Times analyzing more than 11,000 of Trump’s tweets, The Financial Times measuring air quality in London’s Underground, Der Tagesspiegel creating an interactive of the Berlin Wall, and Nieman Lab discussing data voids exploited by media manipulators.

Top Ten #ddj: The Week’s Most Popular Data Journalism Links

What’s the data-driven journalism crowd tweeting? Here are top links for Sept 5-10: America’s shrinking middle class (@FT); Latino voters & Trump (@UniNoticias); iPhone7 rave (@newyorker); DocumentCloud (@SchoolOfData); Chicago’s sensor net (@arrayofthings); Visual Vocab (@MartinStabe); and more.

Top Ten #ddj: The Week’s Most Popular Data Journalism Links

What’s the data-driven journalism crowd tweeting? Here are top links for Nov 7-13: guide to be a data journalist (@willems_karlijn); infobeautyaward winners (@ddjournalism); bulletproofing data course (@ejcnet); data pitfalls (@journalismnews); EU & US economic data (@github); & more.