Too often, inexperienced data users accept the data they receive at face value. Data scientist Heather Krause cautions that data should be treated similar to a human source. Just as you’d do a background check on a human source before publishing what they told you, you need to understand your data.
Here are the top data journalism tweets for Feb 27-Mar 5, per our NodeXL mapping: #NICAR17 readings (@albertocairo); fake news guide collaboration (@jwyg); US visa restrictions (@ddjournalism); statistics’ interactive viz (@BrownUniversity); Guardian’s 10-point guide to ddj (@smfrogers); & more.
Here are the hottest data journalism tweets for Feb 6-12, per our NodeXL mapping: data tips (@pilhofer); Trump tweets (@DataRemixed); 165 years of Swiss Immigration (@duc_qn); Lisa Charlotte Rost’s data blog (@lisacrost); open corporate data (@ddjournalism); & more.
Here are the hottest data journalism tweets for Jan 30-Feb 5, per our NodeXL mapping: Visual Trumpery (@albertocairo); dataviz colour functions (@FastCoDesign); How to Lie with Statistics (@PenguinBooks); mapping 13m climate change tweets (@CarbonBrief); OpenStreetMap (@datenjournalist); & more.
If you want to study journalism, you have more choices today, at lower cost, and of higher quality than ever. Sometimes you will get that at a university and sometimes not. That represents a challenge for universities. In a lecture at a journalism conference in Puebla, Mexico, I described a personal experience taking a course in data visualization from one of the world leaders in the field, Alberto Cairo, author of “The Functional Art.” This kind of course represents a major challenge for universities, because their monopoly on expertise and certification is eroding. Just as occurred in the news business, competitors are emerging who are offering attractive alternatives.