Building Interactive Graphs with ggplot2 and Shiny [Video]

More Information
  • Create interactive web pages and combine elements to produce sophisticated graphs
  • Make basic statistical plots (lines, paths, bar plots, histograms, and boxplots) with ggplot 2
  • Combine graphical elements and put more information on your plots
  • Address big data by plotting summary plots very quickly
  • Customize your plots to your own style and requirements
  • Understand reactive programming in Shiny for building interactive web pages
  • Get to grips with scoping and make your code more efficient
  • Publish and share your work

Ggplot2 is one of R’s most popular packages, and is an implementation of the grammar of graphics in R, which is a powerful tool for performing statistical analyses and drawing publication-quality graphics.

This course helps you move beyond the default graphics offered by R and shows you how to start making elegant and publication-ready plots. It equips you with a good command over ggplot 2 to build sophisticated and interactive graphs that suit your own data requirements.

This practical course shows you how to build statistical plots layer by layer by following along with the examples provided. You’ll first get familiar with the basics of ggplot2 by understanding the use of the building blocks of standard statistical plots and see how you can combine elements to make new graphics. Next, you’ll learn how to customize your graphs, and finally you’ll explore how to make interactive webpages to present your work or analyze your data.

Style and Approach

Packt video courses are designed to cover the breadth of the topic in short, hands-on, task-based videos. Each course is divided into short manageable sections, so you can watch the whole thing or jump to the bit you need. The focus is on practical instructions and screencasts showing you how to get the job done.

Following an example-driven approach, this course offers a practical way to learn how to build interactive graphs with ggplot 2 and Shiny with the help of easy-to-understand examples and step-by- step instructions.

  • Generate complex interactive web pages using R and produce publication-ready graphics in a principled manner
  • Use aesthetics effectively to map your data into graphical elements
  • Customize your graphs according to your specific needs without wasting time on programming issues
Course Length 1 hour 51 minutes
ISBN 9781783284337
Date Of Publication 30 Mar 2014


Christophe Ladroue

Christophe Ladroue has many years of experience in machine learning and statistics. Most of his work has been focused on developing tools for the analysis of biological data, from genetics to physiology, and his scientific publications span from medical journals to pure statistics. He has used and has been teaching R and ggplot2 for a few years and he occasionally posts related articles on his personal blog: