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Data Wrangling

Explore key data wrangling techniques including cleaning, transforming, and enriching datasets using pandas. Understand how to address missing values through imputation or removal, transpose data for different perspectives, and perform groupby operations to summarize marketing data effectively.

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 ...