Chapter 16: Interactive R Custom Visuals
In Chapter 15, Advanced Visualizations, you saw that it is possible to make very complex graphs thanks to the flexibility introduced by ggplot. Sometimes, however, you have the feeling that you can't take full advantage of the information shown in the graph because of a lack of interactivity, such as tooltips. In this chapter, you'll learn how to introduce interactivity into custom graphics created using R and by directly using HTML widgets. Here are the topics we will cover:
- Why interactive R custom visuals?
- Adding a dash of interactivity with Plotly
- Exploiting the interactivity provided by HTML widgets
- Packaging everything into a Power BI custom visual
- Importing the custom visual package in Power BI
