# Summary

This chapter gave us a short overview and recap of everything that was covered in this book based on three extensive practical activities. In *Chapter 1, The Importance of Data Visualization and Data Exploration*, we started with a Python library journey that we used as a guide throughout the whole book. We first talked about the importance of data and visualizing this data to get meaningful insights from it and gave a quick recap of different statistical concepts.

Through several activities, we learned how to import and handle datasets with NumPy and pandas. In *Chapter 2, All You Need to Know about Plots*, we discussed various plot/chart visualizations and which visualizations are best for displaying certain information. We mentioned the use case, design practices, and practical examples for each plot type.

In *Chapter 3, A Deep Dive into Matplotlib*, we thoroughly covered Matplotlib and started with the basic concepts. Next, we dived deeper into the numerous possibilities...