DATA SCIENCE TIPS

A brief guide to data imputation with Python and R

Make the data clean

Photo by Juan Gomez on Unsplash

We all know, that data cleaning is one of the most time-consuming stages in the data analysis process. We need to acquire missing values, check their distribution, figure out the patterns, and make a decision on how to fill the spaces. At this point you should realize, that identification of…