shiny

4 Tips to Make Your Shiny Dashboard Faster

2020-07-21 Krystian Igras, Appsilon Data Science
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Yes, Shiny apps can be fast and scalable. But only if you build them in the right way and use the proper tools. Read more →

Winners of the 2nd Annual Shiny Contest

2020-07-13 Mine Çetinkaya-Rundel
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After evaluating 220 submissions from 183 unique Shiny developers this year, RStudio is proud to finally announce the winners of the 2020 Shiny Contest. Read more →

Shiny Contest 2020 deadline extended

2020-03-18 Mine Çetinkaya-Rundel
The original deadline for Shiny Contest 2020 was this week, but given that many of us have had lots of unexpected changes to our schedules over the last week due to the COVID-19 outbreak, we have decided to extend the deadline by two weeks. If you’ve been planning to submit an entry for the contest this week (and if history is any indicator, there may be a few of you out there), please feel free to take this additional time. Read more →

Shiny Contest 2020 is here!

2020-02-12 Mine Çetinkaya-Rundel
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Over the years, we have loved interacting with the Shiny community and loved seeing and sharing all the exciting apps, dashboards, and interactive documents Shiny developers have produced. So last year we launched the Shiny contest and 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 contestant put into building these apps, as well as submitting them as fully reproducible artifacts via RStudio Cloud. Read more →

learnr 0.10.0

2019-12-02 Barret Schloerke
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learnr 0.10.0 has been released! In this version of learnr, quiz questions have been expanded to allow for more question types. Text box quiz questions have been implemented natively within learnr and ranking questions have been implemented using the sortable package. The learnr R package makes it easy to turn any R Markdown document into an interactive tutorial. Tutorials consist of content along with interactive components for checking and reinforcing understanding. Read more →

Shiny 1.4.0

2019-10-15 Winston Chang
Shiny 1.4.0 has been released! This release mostly focuses on under-the-hood fixes, but there are a few user-facing changes as well. If you’ve written a Shiny app before, you’ve probably encountered errors like this: div("Hello", "world!", ) #> Error in tag("div", list(...)) : argument is missing, with no default This is due to a trailing comma in div(). It’s very easy to accidentally add trailing commas when you’re writing and debugging a Shiny application. Read more →

The Shiny Developer Series

2019-08-05 Curtis Kephart
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Shiny is one of the best ways to build interactive documents, dashboards, and data science applications. But advancing your skills with Shiny does not come without challenges. Shiny developers often have a stronger background in applied statistics than in areas useful for optimizing an application, like programming, web development, and user-interface design. Though there are many packages and tools that make developing advanced Shiny apps easier, new developers may not know these tools exist or how to find them. Read more →

Shiny v1.3.2

2019-04-26 Joe Cheng
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We’re excited to announce the release of Shiny v1.3.2. This release has two main features: a new reactivity debugging tool we call reactlog, and much faster serving of static file assets. Introducing reactlog: Visually debug your reactivity issues Debugging faulty reactive logic can be challenging, as we’ve written and talked about in the past. In particular, some of the most difficult Shiny app bugs to track down are when reactive expressions and observers re-execute either too often (i. Read more →

Winners of the 1st Shiny Contest

2019-04-05 Mine Çetinkaya-Rundel
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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. Read more →

Announcing the 1st Shiny Contest

2019-01-07 Mine Çetinkaya-Rundel
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Shiny apps are a great way to communicate your data science insights with striking, dynamic, interactive visualizations and reports. Over the years, we have loved interacting with the Shiny community and loved seeing and sharing all the exciting apps, dashboards, and interactive documents Shiny developers have produced. We also love seeing Shiny developers openly sharing their code and process for building apps so that others can learn from them and improve their apps. Read more →