Data Wrangling

Data wrangling, also sometimes called data munging, often includes the processes of cleaning, transforming, and enriching the data. In this lesson, we’ll learn different data wrangling techniques.

Handling missing values

One of the common problems data scientists or data analysts run into is handling null or empty values in the dataset. Some algorithms can’t deal with missing values and some perform poorly with empty values in the dataset. Imputation and removing records are two ways to fix the missing values. Let’s learn how to fill in missing values with imputation.