January 2022
Beginner to intermediate
602 pages
13h 51m
English
We have come to yet another important step of data preprocessing that is not concerned with data cleaning; this is known as data reduction. To successfully perform analytics, we need to be able to recognize situations where data reduction is necessary and know the best techniques and the how-to of their implementation. In this chapter, we will learn what data reduction is. Let's put this another way: we will learn what the data pre-processing steps are that we call data reduction. Furthermore, we will cover the major reasons and objectives of data preprocessing. Most importantly, we will look at a categorized list of data reduction tools and learn what they are, how they can help, and how we can use Python to implement ...