R Shiny

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R shiny examples

This is the online version of Mastering Shiny, a book currently under early development and intended for a late 2020 release by O’Reilly Media.

  1. The Shiny web framework is fundamentally about making it easy to wire up input values from a web page, making them easily available to you in R, and have the results of your R code be written as output values back out to the web page.
  2. It looks like R shiny is ahead by a single point. Does this mean that R Shiny better for everyone and every scenario? Absolutely n ot. You can develop identical production-ready applications in both technologies. What you choose depends on your specific needs and preferences. R Shiny is a bit faster for developers.
  3. Chapter 19 Shiny Documents. We have briefly introduced Shiny documents in Section 2.8.2.Shiny is a very powerful framework for building web applications based on R. It is out of the scope of this book to make a comprehensive introduction to Shiny (which is too big a topic).

R Shiny Dashboard

Shiny is a framework for creating web applications using R code.It is designed primarily with data scientists in mind, and to that end, you can create pretty complicated Shiny apps with no knowledge of HTML, CSS, or JavaScript.On the other hand, Shiny doesn’t limit you to creating trivial or prefabricated apps: its user interface components can be easily customized or extended, and its server uses reactive programming to let you create any type of back end logic you want.Shiny is designed to feel almost magically easy when you’re getting started, and yet the deeper you get into how it works, the more you realize it’s built out of general building blocks that have strong software engineering principles behind them.

Shiny is a package developed by RStudio that allows the creation of web-based, interactive dashboards based on R graphics and jQuery user interface (UI) widgets. This provides a way to create web-based dashboards that allow users to interactively explore an underlying dataset.

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Today, Shiny is used in almost as many niches and industries as R itself is.It’s used in academia as a teaching tool for statistical concepts, a way to get undergrads excited about learning to write code, a splashy medium for showing off novel statistical methods or models.It’s used by big pharma companies to speed collaboration between scientists and analysts during drug development.It’s used by Silicon Valley tech companies to set up realtime metrics dashboards that incorporate advanced analytics.

This book is designed to take you from knowing nothing about Shiny to being an expert developer who can write large complex apps that are still maintainable and performant.You’ll gain a deep understanding of the reactive programming model that underlies Shiny, as well as building a tool box of useful techniques to solve common app challenges.

How To Use R Shiny


This book is licensed to you under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The code samples in this book are licensed under Creative Commons CC0 1.0 Universal (CC0 1.0), i.e. public domain.