Video Tutorial: Create and Customize a Simple Shiny Dashboard

[This article was first published on r – Appsilon Data Science | End­ to­ End Data Science Solutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

By Dominik Krzemiński and Krzysztof Sprycha

 

Data can be very powerful, but it’s useless if you can’t interpret it or navigate through it. For this reason, it’s crucial to have an interactive and understandable visual representation of your data. To achieve this, we frequently use dashboards. Dashboards are the perfect tool for creating coherent visualizations of data for business and scientific applications. In this tutorial we’ll teach you how to build and customize a simple Shiny dashboard.

We’ll walk you through the following:

  • Importing library(shiny) and library(shinydashboard)
  • Creating a server function
  • Setting up a dashboardPage() and adding UI components
  • Displaying a correlation plot
  • Adding basic interactivity to the plot
  • Setting up navigation with dashboardSidebar()
  • Using fluidPage()
  • Data tables with library(DT)
  • Applying dashboard skins
  • Taking advantage of semantic UI with library(semantic.dashboard)

Want more tutorials? Tell us what you’d like to learn in the comments.

Follow Appsilon Data Science on Social Media

Thanks to www.bensound.com for the music in the video.

Article Video Tutorial: Create and Customize a Simple Shiny Dashboard comes from Appsilon Data Science | End­ to­ End Data Science Solutions.

To leave a comment for the author, please follow the link and comment on their blog: r – Appsilon Data Science | End­ to­ End Data Science Solutions.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)