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Web Application Development with R Using Shiny

Web Application Development with R Using Shiny

By : Chris Beeley, Shitalkumar R. Sukhdeve
3.8 (4)
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Web Application Development with R Using Shiny

Web Application Development with R Using Shiny

3.8 (4)
By: Chris Beeley, Shitalkumar R. Sukhdeve

Overview of this book

Web Application Development with R Using Shiny helps you become familiar with the complete R Shiny package. The book starts with a quick overview of R and its fundamentals, followed by an exploration of the fundamentals of Shiny and some of the things that it can help you do. You’ll learn about the wide range of widgets and functions within Shiny and how they fit together to make an attractive and easy to use application. Once you have understood the basics, you'll move on to studying more advanced UI features, including how to style apps in detail using the Bootstrap framework or and Shiny's inbuilt layout functions. You'll learn about enhancing Shiny with JavaScript, ranging from adding simple interactivity with JavaScript right through to using JavaScript to enhance the reactivity between your app and the UI. You'll learn more advanced Shiny features of Shiny, such as uploading and downloading data and reports, as well as how to interact with tables and link reactive outputs. Lastly, you'll learn how to deploy Shiny applications over the internet, as well as and how to handle storage and data persistence within Shiny applications, including the use of relational databases. By the end of this book, you'll be ready to create responsive, interactive web applications using the complete R (v 3.4) Shiny (1.1.0) suite.
Table of Contents (11 chapters)
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Summary

In this chapter, we learned about several methods to share your Shiny applications with the world. This process is very easy with fellow users of R, and a little harder with the whole internet; however you do it, I'm sure you'll agree that it was relatively painless and worth the effort. We discussed how to use Git and GitHub (and Gist), and how to use them to share your code and applications with other R users. We also looked at distributing Shiny applications manually or over FTP to R users using the .zip and .tar files. We covered hosting solutions to share your application with the whole internet, including Shiny apps, Shiny Server, and Amazon AWS. We went through the persistent data-storage options and how to use the dplyr, DBI, and Pool packages. We also saw how to prevent SQL injection attacks.

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