Learning Shiny Front Cover

Learning Shiny

  • Length: 248 pages
  • Edition: 1
  • Publisher:
  • Publication Date: 2015-10-16
  • ISBN-10: B00YSIKZUK
  • Sales Rank: #361050 (See Top 100 Books)
Description

Make the most of R’s dynamic capabilities and implement web applications with Shiny

About This Book

  • Present interactive data visualizations in R within the Shiny framework
  • Construct web dashboards in a simple, intuitive, but fully flexible environment
  • Apply your skills to create a real-world web application with this step-by-step guide

Who This Book Is For

If you are a data scientist who needs a platform to show your results to a broader audience in an attractive and visual way, or a web developer with no prior experience in R or Shiny, this is the book for you.

What You Will Learn

  • Comprehend many useful functions, such as lapply and apply, to process data in R
  • Write and structure different files to create a basic dashboard
  • Develop graphics in R using popular graphical libraries such as ggplot2 and GoogleVis
  • Mount a dashboard on a Linux Server
  • Integrate Shiny with non-R-native visualization, such as D3.js
  • Design and build a web application

In Detail

R is nowadays one of the most used tools in data science. However, along with Shiny, it is also gaining territory in the web application world, due to its simplicity and flexibility. Shiny is a framework that enables the creation of interactive visualizations written entirely in R and can be displayed in almost any ordinary web browser. It is a package from RStudio, which is an IDE for R.

From the fundamentals of R to the administration of multi-concurrent, fully customized web applications, this book explains how to achieve your desired web application in an easy and gradual way.

You will start by learning about the fundamentals of R, and will move on to looking at simple and practical examples. These examples will enable you to grasp many useful tools that will assist you in solving the usual problems that can be faced when developing data visualizations. You will then walk through the integration of Shiny with R in general and view the different visualization possibilities out there. Finally, you will put your skills to the test and create your first web application!

Style and approach

This is a comprehensive, step-by-step guide that will allow you to learn and make full use of R and Shiny’s capabilities in a gradual way, together with clear, applied examples.

Table of Contents

Chapter 1. Introducing R, RStudio, and Shiny
Chapter 2. First Steps towards Programming in R
Chapter 3. An Introduction to Data Processing in R
Chapter 4. Shiny Structure – Reactivity Concepts
Chapter 5. Shiny in Depth – A Deep Dive into Shiny’s World
Chapter 6. Using R’s Visualization Alternatives in Shiny
Chapter 7. Advanced Functions in Shiny
Chapter 8. Shiny and HTML/JavaScript
Chapter 9. Interactive Graphics in Shiny
Chapter 10. Sharing Applications
Chapter 11. From White Paper to a Full Application

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