Summary
Exploring the data is only one of the essential steps in the data science process, and it is something that we will continue to do throughout this book as we work with different datasets. By following the steps of data exploration, we can transform, break down, and standardize our data to prepare it for modeling and analysis.
Our five steps serve as a standard practice for data scientists and can be applied to any dataset that requires analysis. While they are only guidelines, they provide a framework for exploring and understanding new data, and they can help us to identify trends, relationships, and insights that can inform our analysis.
As we progress in this book, we will delve into the use of statistical, probabilistic, and ML models to analyze and make predictions from data. Before we can fully delve into these more complex models, however, it is important to review some of the basic mathematics that underlie these techniques. In the next chapter, we will cover...
