Investigating missing data with missingno
I recently came across a new python package for visualizing missing elements of a data set. The aptly named "missingno" is super useful when you're taking your first look at a new data set and trying to get a feel for what you're working with. Having a sense of the completeness of the data can help inform decisions about how to best handle missing values. In this post, we'll take a quick look at the small and simple Shelter Animal Outcomes data set from one of the current Kaggle competitions. Matrix visualization The first visualization is the "matrix" display. [...]