Got Bad Data? Check Out The Quartz Guide

If you’re working with data, chances are, there will be at least a few times where you encounter the “nightmare scenario”. Things go awry — values are missing, your sample is biased, there are inexplicable outliers, or the sample wasn’t as random as you thought. Some issues you can solve, other issues are less clear. […]