A Framework & Package for Missing Data To Speed Up Data Organization and Data Cleaning

Three weeks into a data science bootcamp, I’ve learned how to deal with missing data. This series of blog posts is dedicated to Flatiron’s Data Science 15-week bootcamp to transition out of finance. The goal of this post is to provide a basic process for identifying and treating missing data by.introducing the “missing data mechanism” — standard vocabulary for classifying missingness (that has implications for treatment of the missing data), and.demonstrating the usefulness of the Python missingno library.