Adding a dash of interactivity with Plotly

There is an open source JavaScript library for data visualization, which is declarative and high-level and allows you to create dozens of types of interactive graphs, named Plotly.js. This library is the core of other Plotly client libraries, developed for Python, Scala, R, and ggplot. In particular, the library developed for R, named Plotly.R (https://github.com/ropensci/plotly), provides the ggplotly() function, which does all the magic for us: it detects all the basic attributes contained in an existing graph developed with ggplot and transforms them into an interactive web visualization. Let's see an example.

First, you need to install the Plotly.R library (https://github.com/ropensci/plotly) on your latest CRAN R engine via the install.packages('plotly') script.

Important Note

For simplicity, we'll make sure to run the custom visual on the latest version of the CRAN R engine, since all the necessary libraries...