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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

Chapter 3. An Introduction to Data Processing in R

In this chapter, basic techniques to fulfill the reorganization of data (cleaning, processing, and so on) will be covered. These will be the key factors while developing web applications with R and Shiny because, unlike traditional web application commercial software, they provide the possibility of performing any operation on your data and consequently, displaying it in the exact way that was imagined with no boundaries. By presenting several useful tools, this chapter will help the reader to gain skills in data manipulation.

The chapter is divided into the following seven sections:

  • Sorting elements
  • Basic summary functions
  • grep and regular expressions
  • The apply-like functions
  • The plyr package
  • The data.table package
  • The reshape2 package
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