Hands-On Dashboard Development with Shiny
This is the code repository for Hands-On Dashboard Development with Shiny, published by Packt.
A practical guide to building effective web applications and dashboards
What is this book about?
Although vanilla Shiny applications look attractive with some layout flexibility, you may still want to have more control over how the interface is laid out to produce a dashboard. Hands-On Dashboard Development with Shiny helps you incorporate this in your applications.
This book covers the following exciting features:
- Add HTML to a Shiny application and write its interfaces from scratch in HTML
- Use built-in Shiny functions to produce attractive and flexible layouts
- Produce dashboards, adding icons and notifications
- Explore Bootstrap themes to lay out your applications
- Get insights into UI development with hands-on examples
If you feel this book is for you, get your copy today!
Instructions and Navigations
All of the code is organized into folders. For example, Chapter02.
The code will look like the following:
header = dashboardHeader() sidebar = dashboardSidebar() body = dashboardBody() dashboardPage(header, sidebar, body)
Following is what you need for this book:
If you have some experience writing Shiny applications and want to use HTML, CSS, and Bootstrap to make custom interfaces, then this book is for you.
With the following software and hardware list you can run all code files present in the book (Chapter 1-3).
Software and Hardware List
|Chapter||Software required||OS required|
|1-3||RStudio||Windows, Mac OS X, and Linux (Any)|
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.
Get to Know the Author
Chris Beeley is the author of Web Application Development with R using Shiny. He has been using R and other open source software for 10 years to better capture, analyze, and visualize data in the healthcare sector in the UK. He works full time developing software to store, collate, and present questionnaire data using open technologies (MySQL, PHP, R, Shiny), with a special emphasis on using the web and Shiny to produce simple and attractive data summaries. Chris is operating firm to expand the use of R and Shiny both within his own organization and throughout the rest of the health sector, as well as enabling his organization to better use a variety of other data science tools. He has also delivered talks about Shiny all over the country.
Suggestions and Feedback
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