Data Biographies: Getting to Know Your Data

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.

Top Ten #ddj: The Week’s Most Popular Data Journalism Links

Here are the top data journalism tweets for March 13-19, per our NodeXL mapping: #NICAR17 resources (@MacDiva); Breitbart network analysis (@CJR); climate change calculator (@FT); Trump’s Budget (@washingtonpost); Berlin pickpockets (@berlinerzeitung); Caracas jobless (@CamburYMedio); & more.

Top Ten #ddj: The Week’s Most Popular Data Journalism Links

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.