Analyze, communicate, and design your own sophisticated and interactive web applications using the R (v 3.4) Shiny (1.1.0) package
Key Features
Book Description
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.
What you will learn
Who this book is for
Web Application Development with R Using Shiny is for you if you are interested in creating compelling web applications and interactive data visualization over the web using Shiny. Programming experience with R is required.
Table of Contents
"synopsis" may belong to another edition of this title.
Chris Beeley works for Nottinghamshire Healthcare NHS Trust as the lead
Analyst and programmer for staff and patient experience. He uses a variety of open source tools (PHP/MySQL, Apache, R, Shiny, and Ubuntu) to collect, collate, analyze, and report on patient and staff experience throughout the organization. He was the author of the previous edition of this book.
He has been a keen user of R and a passionate advocate of open source tools in research and healthcare settings, having completed his PhD. He has made extensive use of R (and Shiny) to automate analysis and report on a new patient feedback website. This was funded by a grant from the NHS Institute for Innovation and made in collaboration with staff, service users, and carers within the Trust, particularly individuals from the Involvement Centre.
"About this title" may belong to another edition of this title.
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