Shiny is a very convenient tool that helps us create an app using R. It provides a wide range of layouts and widgets that you can add to an app. Common features in shiny may have been explained in many tutorials and courses, but other features that are more advanced require more exploration from the users with only brief documentation. In this article, let’s discuss some advanced features in shiny that commonly asked by users that may help you build better app.

Shiny is a very convenient tool that helps us create an app using R. It provides a wide range of layouts and widgets that you can add to an app. Common features in shiny may have been explained in many tutorials and courses, but other features that are more advanced require more exploration from the users with only brief documentation. In this article, let’s discuss some advanced features in shiny that commonly asked by users that may help you build better app.

In this article, we will learn about Social Network Analysis using tidygraph (including igraph and ggraph). We’ll not only learn about the visualizing stuff but also the metrics. We’ll analyze Twitter network as our study case using rtweet package. In this article, I hope we will be able to do: