Advanced tasks with dplyr and ggvis

Just to get a taste of how easy it can be to do some really cool things with R and to start to build the foundation of the Shiny application that we are going to build through the course of this book, let's build a few graphics using some Google Analytics data and present them in an interactive document. We are going to use two contributed packages, dplyr and ggvis. The dplyr package provides very powerful functions for selecting, filtering, combining, and summarizing datasets. As you will see throughout this book, dplyr allows you to very rapidly process data to your exact specifications. The ggvis package provides very simple functions to make your visualizations interactive.

We're going to run through some ...

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