Building Interactive Graphs with ggplot2 and Shiny
English | 1 hour 51 minutes | AVC (.mp4) 1280x720 25fps | AAC 48KHz 2ch | 391 Mb
If you are a software programmer, application developer, or web developer with basic to intermediate knowledge of R programming and you want to build elegant graphs to display data that you can showcase to your clients, this course is for you. No knowledge of web technologies is required.
About This Book
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
Table of Contents
GETTING STARTED WITH GGPLOT2
UNDERSTANDING BASIC PLOTS
USING CONDITIONAL PLOTS
USING STATISTICS IN OUR PLOT
CUSTOMIZING YOUR GRAPHS
SHINY - PART 1
SHINY - PART 2
PUTTING EVERYTHING TOGETHER
What You Will Learn
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.
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
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