Winners of the 1st Shiny Contest

April 4, 2019
By

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

Back in January we announced the first Shiny contest. The time
has come to share the results with you!

First and foremost, we were overwhelmed (in the best way possible!)
by the 136 submissions! Reviewing all these submissions was incredibly
inspiring and humbling. We really appreciate the time and effort each contestsant
put into building these apps, as well as submitting them as a fully reproducible
artifacts via RStudio Cloud.

Let’s start with a few stats about the contest submissions:

  • There were 136 submissions from 122 unique app developers!
  • Approximately 92% of these developers submitted one entry for the contest and approximately 7% submitted two entries.
  • There was one developer who submitted three entries and one developer who
    submitted five!

And here is a look at the growth of submissions over time…

So many of these apps were quite complex, very well-designed, and fun to interact
with. Saying that selecting winners was difficult would be the biggest understatement
of the year! But we promised to do it, so we did! Below we list the honorable
mentions, runners up, and last but not least, the winners of the first Shiny contest.

Before we get to them though, a quick point of claerification: we had promised two
winners, one in the novice and one in the open category. However since we didn’t
ask developers to self select into these categories it was very difficult to place
apps into these categories post-hoc. So instead we picked four winners in
various categories. At the end of the post we also discuss how this experience
will help shape the definitions of winning categories in the next Shiny contest.

Over the next week we will be getting in touch with all the winners, runners up,
and honorable mentions to arrange delivery of their awards and to highlight
their submissions on the Shiny User Showcase.

Winners

The four winners, presented here in no particular order, have won the following:

  • One year of shinyapps.io Basic plan
  • All hex/RStudio stickers we can find
  • Any number of RStudio t-shirts, books, and mugs (worth up to $200)
  • Special & persistent recognition by RStudio in the form of a winners page,
    and a badge that’ll be publicly visible on your RStudio Community profile
  • Half-an-hour one-on-one with a representative from the RStudio Shiny team
    for Q&A and feedback

Most technically impressive: iSEE

iSEE (interactive SummarizedExperiment Explorer) by Kevin Rue, Charlotte Soneson, Federico Marini, Aaron Lun
and is designed for interactive
exploration of high-throughput biological data sets. The deeper we dove into
this app, the more impressed we were at its feature set. The data-visual-selection
controls in each panel were well presented, and the dynamic, directional
crosslinking feature is something we haven’t seen before. And it can even
generate a reproducible R script!

Best design: 69 Love Songs: A Lyrical Analysis

This app by David Smale is a
lyrical analysis of the three-volume concept album by the Magnetic
Fields containing (yep, you guessed it) 69 love songs. We fell in love with the
look of this app, and really appreciated that the font and colours used in the
app have been chosen to match the album artwork. You don’t have to be a fan of
the Magnetic Fields to appreciate the care and attention to detail that went
into each panel!

Most Fun: Hex Memory Game

A brave handful of people have built small games in Shiny. It’s always impressive
to us when people pull that off at all, but we haven’t seen one that works as well
as Hex Memory Game created by pvictor.
Not only that, but the code is super clean and easy to reason about.

The “Awww” Award: Pet Records

Think you’re a good pet owner? This app by Jenna Allen will make you think again!
Jenna, who describes herself as a digital nomad traveling with two dogs, Layla
and Lloyd, has built this app for keeping track of her dogs’ medical and vaccine
records. The timeline visualizations in the app are extremely effective, and the
amount you can drill down – all the way to vaccine certificates and exam notes
in PDF format! – is very impressive.

  • Interact with the app on shinyapps.io
  • Read the RStudio Community post and the blog post to find out more about the app’s design and technical highlights
  • Reproduce the app on RStudio Cloud (Note
    that for any images and documents stored in the app author’s S3 bucket, you’ll
    see “Error: Forbidden (HTTP 403)” on the RStudio Cloud version since credentials
    are not shared.)
  • View the code on GitHub

Runners up

The following six apps are our runners up, and once again presented here in
no particular order. Congratulations to the developers who have won the
following:

  • One year of shinyapps.io Basic plan
  • All hex/RStudio stickers we can find
  • Any number of RStudio t-shirts, books, and mugs (worth up to $200)

A Virtual Lab for Teaching Physiology

If we were judging solely by ambition of vision, this submission by
David Granjon would have to be our
winner! The centerpiece of this app is a strikingly detailed visNetwork,
but the patient simulator idea is interesting as well.

ScotPHO Online Profiles Tool

This app by Jaime Villacampa, Zsanett Bahor, and Vicky Elliott was created
to help people living and working in Scotland explore how geographical areas
have changed over time or how they compare to other areas, across a range of
indicators of health and wider determinants of health. The app is pretty complicated,
but no more than it has to be with such a sprawling dataset behind it. Each part
of the app has a carefully curated set of options that expose lots of power
without being totally overwhelming. The context-sensitive Definition button
and pervasive “Download data”/“Save chart” options are nice touches as well.

tidytuesday.rocks

If you haven’t heard of #TidyTuesday, you’re missing out on one of the most
dynamic virtual events in the R community. The tidytuesday.rocks app by
Neal Grantham is a tastefully
minimalist interface for exploring previous weeks’ datasets and community
submissions for visualizations.

CRAN Explorer

There are plenty of Shiny apps for exploring CRAN metadata, but none of them look
as striking as this one by nz-stefan!
This is a really nice example of HTML Template usage; the separation between the
R UI and the raw HTML UI is extremely clean.

The Shiny LEGO mosaic creator

This app by Eric Nantz is just fun!
Upload any (relatively small) image and within seconds this app will design a
LEGO mosaic for you, complete with a list of required bricks and build instructions!

A Dashboard for Conference Tweets

We have fond memories of rstudio::conf 2019, but nostalgia isn’t the only thing
going for this dashboard by Garrick Aden-Buie.
There are a lot of great tweets we missed the first time around, and we added
some new follows. We also loved the “Top Emoji” plot (spoiler: the top emoji was 🤯!).

Honorable mentions

Remember how we said earlier that there so many gems among the submissions and
how it was so difficult to choose between them? Yeah, it was! The following
twenty-one apps are the honorable mentions. The developers of these apps will
receive one year of shinyapps.io Basic Plan and one RStudio t-shirt.

We have linked to the RStudio Community post for each of the submissions where
you can read more about each app, interact with it, and reproduce it in RStudio
Cloud.

Next Shiny contest

The first Shiny contest was not only fun to review, but we also learned a lot
about how to structure it next time around. (Oh yeah, there will be a next time!)
Our plan is to pre-identify clear categories for winners and announce them at the
beginning of the contest. We’re pretty sure you will wow us again, and develop
apps that are awe-inspiring and don’t fit into any of the categories we outlined,
and we’ll want to update things again for the third round of the contest, but
c’est la vie! We will also plan better for a high number of submissions
so that we can turn around the review quicker (thank you for your patience this
time around!).

To leave a comment for the author, please follow the link and comment on their blog: RStudio Blog.

R-bloggers.com 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.

Search R-bloggers

Sponsors

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)