Advanced Visualizations
As you saw in Chapter 19, Exploratory Data Analysis, you can create very professional-looking graphs using the ggplot2 package and its extensions. In this chapter, you’ll learn how to create advanced and attractive custom graphs, with a special focus on circular barplots. Circular barplots are particularly useful for showing relationships in data that are periodic or cyclical in nature, providing a visually appealing and space-efficient way to display such patterns. They are ideal for comparing categories that are parts of a whole, such as hours in a day or months in a year, where the circular layout emphasizes the cyclical nature.
The visualization of such plots will be done exclusively using R programming, as it offers robust support for creating these intricate graphics. This is because, despite Python’s extensive capabilities with libraries like matplotlib, it is quite challenging to build circular plots with it. In addition, plotnine...
