Getting started with Shiny
Take an interactive approach to telling your data story with Shiny About This Video Build useful web applications with only a few lines of code—no JavaScript required. A highly customizable slider widget with built-in support for animation. Uses a reactive programming model that eliminates messy eve...
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| Format: | Online |
| Sprache: | eng |
| Veröffentlicht: |
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Packt Publishing
2017
Sebastopol, CA O'Reilly Media Inc. |
| Ausgabe: | 1st edition |
| Schlagworte: | |
| Online Zugang: | https://learning.oreilly.com/library/view/-/9781787124028 https://learning.oreilly.com/library/view/-/9781787124028/?ar |
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Tag hinzufügen | Zusammenfassung: | Take an interactive approach to telling your data story with Shiny About This Video Build useful web applications with only a few lines of code—no JavaScript required. A highly customizable slider widget with built-in support for animation. Uses a reactive programming model that eliminates messy event handling code, so you can focus on the code that really matters. In Detail Shiny is a user contributed package for R that allows interactive web interfaces to easily be delivered through a web browser using only R code. No JavaScript is required. It’s simple to use R code to build user interfaces. There is also a lot of power and flexibility within the Shiny package, and its functionality can be expanded using user-contributed packages, as well as HTML, CSS, and JavaScript. In this video course, you’ll start off by installing R, R Studio, and Shiny. Moving on, you’ll learn about Code files and how to build a simple application in Shiny. You’ll explore an RMarkdown document to understand how Shiny can be embedded straight into a document. Moving on, you’ll learn about the Shiny input and output widgets and how to put them together into a larger application. Further we’ll present several features of Shiny, such as animation, data tables, downloading and uploading data, and how to produce attractive and interactive data tables. We’ll also include a toy example. Finally, you will learn about reactive programming in Shiny and how to control reactivity in your programs. We’ll use a full-featured application to explore the ggplot2movies dataset. Moving on we’ll show you in detail how reactivity works, how it can be controlled. We’ll conclude the course by learning how to handle errors, debugging, and rate control in Shiny applications. |
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| Beschreibung: | 1 Online-Ressource (1 video file, approximately 1 hr., 41 min.) |
| ISBN: | 9781787124028 |