Making interactive plots with plotly

Interactive plots are great tools for data exploration, allowing users to explore interactively large datasets to gain insights and identify patterns in data. They are useful for programmers wishing to create dashboards for visualizing real-time data and help with interactive presentations that can communicate complex data relationships in an engaging manner. plotly is a data visualization library for creating interactive plots in Python, R, and JavaScript. It provides a high-level interface for drawing attractive and informative statistical graphics, and the ggplotly package in R allows you to convert static ggplot2 visualizations to interactive plots through a high-level interface. In this recipe, we’ll create a fairly involved ggplot2 visualization of mutation sites on a genome and then convert it to plotly to get a great first-level interaction layer.

Getting ready

We’ll need the ggplot2, plotly, and rbioinfcookbook packages...