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Web Application Development with R Using Shiny

You're reading from   Web Application Development with R Using Shiny Build stunning graphics and interactive data visualizations to deliver cutting-edge analytics

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Product type Paperback
Published in Sep 2018
Publisher
ISBN-13 9781788993128
Length 238 pages
Edition 3rd Edition
Languages
Tools
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Authors (2):
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Chris Beeley Chris Beeley
Author Profile Icon Chris Beeley
Chris Beeley
Shitalkumar R. Sukhdeve Shitalkumar R. Sukhdeve
Author Profile Icon Shitalkumar R. Sukhdeve
Shitalkumar R. Sukhdeve
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Toc

Table of Contents (11) Chapters Close

Preface 1. Beginning R and Shiny FREE CHAPTER 2. Shiny First Steps 3. Integrating Shiny with HTML 4. Mastering Shiny's UI Functions 5. Easy JavaScript and Custom JavaScript Functions 6. Dashboards 7. Power Shiny 8. Code Patterns in Shiny Applications 9. Persistent Storage and Sharing Shiny Applications 10. Other Books You May Enjoy

The Gapminder application

Now that we've got the basics, let's build a full application. Before we proceed, note that we will need to install a few packages—tidyverse, gapminder, leaflet, and ggmap. Each can be installed from CRAN (the official R package repository) using the code phrases install.packages("tidyverse"), install.packages("gapminder"), and so on. We will not install ggmap this way, though. At the time of writing, there is a bug in the CRAN version. We'll install the dev version instead, as shown in the following code:

install.packages("devtools")
library(devtools)
devtools::install_github("dkahle/ggmap")

The application is pretty simple to get us started, but it illustrates several important methods and principles in Shiny. It features tabbed output, which allows the user to select different inputs or groups...

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