How to avoid rookie mistakes
A group of seasoned data journalists share their past data analysis mistakes — whether it occurred while requesting data, cleaning data, analyzing it or even bulletproofing it — and offer up tips for avoiding these and all kinds of other potential pitfalls.
Kristin Hussey is a Connecticut-based freelance reporter. Since 2007, Kristin has reported on corruption, philanthropy, guns, politics, poverty, pizza and prom dresses for The New York Times. B.C., Kristin was a staff writer for WSJ.com, The Capital in Annapolis, Md., and The News in Boca Raton, Fla. @kristinhussey1
Alex is an assistant professor at Syracuse University's Newhouse School, where he teaches data journalism. He's a former IRE training director, and he has previously worked as a reporter and editor at the Chicago Tribune, NerdWallet, The Chronicle of Higher Education and the Las Vegas Sun, where he was a finalist for the Pulitzer Prize in 2011 and shared the Goldsmith Prize for investigative reporting. @alexrichards
Mike Stucka has been the self-described data dork at The Palm Beach Post since early 2016. Before that, he used data on the beat at places like The Salem (Mass.) News and The Telegraph of Macon, Ga. He started with data at his college paper, when he still had hair. He is a graduate of Northeastern University, Loyola University Chicago, and a great IRE bootcamp a decade ago. @mikestucka
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