Global Investigative Journalism Network (https://archive.gijn.org/tag/data-analysis/page/4/)
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.
What’s the global #ddj community tweeting about? Our NodeXL mapping from June 5 to 11 includes #VisualTrumpery from @mcrosasb, analysis of Theresa May’s election disaster by @GuardianVisuals, dataviz structuring strategies from @eagereyes, and school enrollment woes in Delhi from @htTweets.
Wondering how to best adapt data journalism for broadcast? UK online journalism expert Paul Bradshaw has done a round-up of impressive examples from five countries — a primer on exploring data storytelling for video and television.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 5 to 11 finds @flowingdata’s tips to visualizing missing or incomplete data, statistics of women’s challenges in journalism by @abraji and @generonumero and a cool income inequality interactive by @EconomicPolicy.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 19 to 25 finds economist @SethS_D analyzing Spotify data to find the correlation between our birth year and our music influences, @infowetrust illustrates three centuries of iconic infographics in a beautiful 17th century-styled dataviz and @EdjNet’s Stats Monitor gives you #ddj news leads on European data.