In this chapter, we learned some of the most basic and useful techniques for performing EDA. We provided many examples of how to produce visualizations and numerical calculations, and how to interpret them.
We learned about the main techniques for univariate and bivariate analysis, including histograms, bar plots, scatter plots, and boxplots. We also provided some examples of complex multivariate visualizations with Seaborn.
Please bear in mind that the reason for applying all these techniques is to understand the dataset, which will give us a better picture of the relationship between the business problem and the data. It also provides us with valuable information for the next stage of the process: predictive modeling, that will be the subject of our next chapter
