Chapter 13: Data Reduction
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 them.
In this chapter, we are going to cover the following main topics:
- The distinction between data reduction and data redundancy
- Types of data reduction
- Performing numerosity data reduction
- Performing dimensionality...
