How to Handle Missing Data

“The idea of imputation is both seductive and dangerous” (R.J.A Little & D.B. Rubin)

One of the most common problems I have faced in Data Cleaning/Exploratory Analysis is handling the missing values. Firstly, understand that there is NO good way to deal with missing data. I have come across different solutions for data imputation depending on the kind of problem — Time series Analysis, ML, Regression etc. and it is…