Designing and producing publication-quality visualizations is a key task and one of the most rewarding things bioinformaticians gets to do with data. R is not short of excellent packages for creating graphics, that is, beyond the powerful base graphics system and ggplot2. In the recipes in this chapter, we'll look at how to create plots for many different data types that aren't of the typical bar/scatter plot type. We'll also look at networks, interactive and 3D graphics, and circular genome plots.

The following recipes will be covered in this chapter:

• Visualizing multiple distributions with ridgeplots
• Creating colormaps for two-variable data
• Representing relational data as networks
• Creating interactive web graphics with plotly
• Constructing three-dimensional plots with plotly
• Constructing circular genome plots of polyomic data