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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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Toc

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

Summary

In this chapter, advanced alternatives combining HTML, JavaScript, and CSS with Shiny were covered. Although the learning curve of these types of problems is definitely hard, the effort is worth it, as this opens an infinite number of new gates.

The next chapter will cover the different alternatives of interaction with output objects and will focus on the inclusion of interaction within native R graphics and the integration between Shiny and D3, a very popular JavaScript library to produce graphical elements. For this reason, it is important that the contents of this chapter are solidly understood, at least from a conceptual point of view. The final aim is, in the end, the same that guides the principles of Shiny, that is, to get the best out of the two worlds: web applications for the display of results and a powerful data processing/analysis engine behind to produce insightful and novel information.

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