Exploratory Data Analysis
In the previous chapter, we covered methods for characterizing and collecting data. So, now that you have collected some data, what will you do with it? Well, that is the topic of this chapter. In this chapter, we will learn about the process of exploratory data analysis (EDA).
EDA is an approach to analyzing datasets so that you can summarize their main characteristics, often with visual methods. It is used to understand data, get a context of it, develop more hypotheses, and consequently build better models and business outcomes.
In this chapter, we will get a bit more hands-on, with code examples that you can try out.
If you would rather focus on reading the content, feel free to skip the code exercises. They are completely optional and they’ve been written to help reinforce some of the things we’ll be learning about in this book.
Also, don’t worry if you have never used Python before; every exercise will be explained step...
