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Learning Shiny

You're reading from   Learning Shiny Make the most of R's dynamic capabilities and implement web applications with Shiny

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Product type Paperback
Published in Oct 2015
Publisher
ISBN-13 9781785280900
Length 246 pages
Edition 1st Edition
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Authors (2):
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Hernan Resnizky Hernan Resnizky
Author Profile Icon Hernan Resnizky
Hernan Resnizky
Hernan Resnizky Hernan Resnizky
Author Profile Icon Hernan Resnizky
Hernan Resnizky
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Table of Contents (13) Chapters Close

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

Chapter 6. Using R's Visualization Alternatives in Shiny

Normally, graphics are the central elements of data visualization as they are an intuitive and clear technique to display results, especially on a computer. In this chapter, you will learn about the different graphical procedures in R and how to integrate them in your Shiny applications.

By now, you must have acquired a clear notion of how to structure a Shiny web application and the different types of outputs that can be used. The purpose of this chapter is to complement this with a series of techniques to display data in a graphical way. In this way, unlike other software including commercial ones, R provides you with the possibility of displaying graphics (and any information in general) practically without restriction.

The importance of this goes far beyond a technical question. In alignment with GNU philosophy, no technical restriction implies no restriction in communication, which finally means "free"...

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