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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

D3.js integration


This is naturally perfectly possible as D3 visualizations are HTML/JavaScript-based, and as it was already explained in this book, Shiny applications can support this type of content without any problems.

This section will have three main subsections:

  • What is D3.js?

  • networkD3

  • An introduction to htmlwidgets

What is D3?

D3.js is a JavaScript library designed by Mike Bostock. As with any other library in any other language (for example, R), D3 contains a set of functions written in JavaScript that are especially used for visualizations.

The name of this library is an acronym for Data-Driven Documents (three times the letter D) and its name is self-explanatory of the purpose of the library's functions, that is, to produce HTML documents based on data given. Of course, this data can change, and the HTML rendered has to change accordingly.

This kind of process should sound familiar to every reader at this point; graphical objects that change according to the interaction with the end...

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