One More (Yet-another?) Olympic Medal Live-tracking Shiny App

February 12, 2014

(This article was first published on » R, and kindly contributed to R-bloggers)

I’m posting this mostly to show how to:

  • use the Google spreadsheet data-munging “hack” from the previous post in a Shiny context
  • include it seamlessly into a web page, and
  • run it locally without a great deal of wrangling

The code for the app is in this gist. It is unsurprisingly just like some spiffy other code you’ve seen apart from my aesthetic choices (Sochi blue! lines+dots! and, current rankings next to country names).

I won’t regurgitate the code here since it’s just as easy to view on github. You’re seeing the live results of the app below (unless you’ve been more conservative than most folks with your browser security settings),

but the app is actually hosted over at Data Driven Security, a blog and (woefully underpowered so reload if it coughs up blood, pls) Shiny server that I run with @jayjacobs. It appears in this WordPress post with the help of an IFRAME. It’s essentially the same technique the RStudio/Shiny folks use in many of their own examples.

The app uses bootstrapPage() to help make a more responsive layout which will react nicely in an IFRAME setting (since you won’t know the width of the browser area you’re trying to fit the Shiny output into).

In the ui.R file, I have the plotOutput() configured to scale to 100% of container width:

plotOutput("medalsPlot", width="100%")

and then create a seamless IFRAME that also sizes to max-width:

The really cool part (IMO) about many Shiny apps is that you don’t need to rely on the external server to work with the visualization/output. Provided that:

  • the authors have coded their app to support local execution…
  • and presented the necessary ui.R, server.R, global.R, HTML/CSS & data files either as a github gist or a zip/gz/tar.gz file…
  • and you have the necessary libraries installed

then, you can start the app with a simple Rscript one-liner:

Rscript -e "shiny::runGist(8949172, launch.browser=TRUE)"


Rscript -e "shiny::runUrl('', launch.browser=TRUE)"

There is some danger doing this if you haven’t read through the R code prior, since it’s possible to stick some fairly malicious operations in an R script (hey, I’m an infosec professional, so we’re always paranoid :-). But, if you stick with using a gist and do examine the code, you should be fine.

To leave a comment for the author, please follow the link and comment on their blog: » R. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.


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)