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...
