What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 25 to March 3 finds a @nytimes profile of its much admired data editor @amandacox; a flu tracker by @morgenpost; and a double dose of skepticism in @amandabee’s roundup of bad data interpretations and @albertocairo’s “How Charts Lie” book.
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.
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.
The Choqueyapu River investigation was initially intended for the Bolivian newspaper, Página Siete. A three-month reporting project resulted in the publication of two 16-page newspaper specials. But the challenge was to transform it into an innovative digital story.
There is a huge amount of data available on pollution and disease caused by the Matanza River – widely known as River Riachuelo – the problem was transforming it into information that those affected could easily understand. In a special multimedia report, La Nación used open data and data visualization to illustrate the extent of the problem.
