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 are the hot data journalism tweets? Here are top links for Dec. 5-11: pie chart abuse (@johngrimwade); transit data tool (@ddjournalism); big data stories (@BigDataGirl); US diversity map (@PostGraphics); ddj survey (@Bahareh360); Swiss sprawl (@srfdata); dataviz types (@pol_ferrando); more.
What’s the data-driven journalism crowd tweeting? Here are top links for Oct 24-30: Clinton/Trump facial analysis (@benheubl ); 10K edits to Clinton/Trump Wikipedia pages (@chrisalcantara); Amnesty 36-year dataviz (@jwyg); Latinos in office (@UnivisionData); open source tools (@M_Mandalka); & more.
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.
As our governments and businesses become increasingly flush with information, more and bigger data are becoming available from across the globe. Increasingly, investigative reporters need to know how to obtain, clean, and analyze “structured information” in this digital world. Otherwise, they and the news organizations they work for will miss some of the most important stories of our time. Even in relatively closed societies, journalists can now work their way from the outside in, using international data sets to reveal what’s happening in their home countries. Here is a list of resources to get you started, but we want to keep updating our community with the best resources available.