Summary

Now that we've completed this chapter, we are well-equipped to quickly create a variety of visualizations in Python using pandas and matplotlib. We now understand the basics of how matplotlib works and the main components of a plot. Additionally, we discussed various plot types and the situations in which to use them—a crucial component of data visualization is choosing the appropriate plot. Be sure to check out the Choosing the appropriate visualization section in the Appendix for future reference.

Note that the best practices for visualization don't just apply to the plot type, but also to the formatting of the plot, which we will discuss in the next chapter. In addition to this, we will build upon the foundation we laid here to discuss additional plots using seaborn and how to customize our plots using matplotlib. Be sure to complete the end-of-chapter exercises to practice plotting before moving on, as we will be building on this chapter's material...