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SatRday Paris: Build interactive waffle plots

Can mapping tools be diverted to other uses? Of course ! See how we play with leaflet and leafgl to quickly render a giant waffle made of millions of polygons. Spatial tools are not only for spatial data At SatRday ...
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Building Big Shiny Apps — A Workflow 2/2

Second part of the blog transcription of the talk I've given during the eposter session of the rstudio::conf(2019). Read the first part here. Building Big Shiny Apps: step by step Step 1: Designing Don't rush into coding. I know you ...
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A little trick for debugging Shiny

This is gonna be a short post about a little trick I've been using while developing Shiny Apps. (Spoiler: nothing revolutionary) A browser anywhere, anytime The first thing to do is to insert an action button, and a browser() in ...
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Building Big Shiny Apps — A Workflow – 1/2

During the rstudio::conf(2019L), I've presented an eposter called "Building Big Shiny Apps — A Workflow". You can find the poster here, and this blog post is an attempt at a transcription of what I've been talking about while presenting the ...
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{remedy} is now on CRAN

After living for more than a year on GitHub, we are pleased to announce that the {remedy} package is now on CRAN.  ...
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RConsortium — Building an R Certification

For the last months, ThinkR has been involved (with Mango, Procogia and the Linux Foundation) in a working group for an RConsortium R Certification.  ...
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A Tale of Two Shiny Apps: Google Auth & ShinyProxy

Once upon a time, there was a team of fearless R knights who started a new quest: they were missioned to bring the almighty Google Auth into the wonderful world of ShinyProxy. Here is their story, told from the inside. ...
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Shiny application in production with ShinyProxy, Docker and Debian

You created some great Shiny applications, following our advice of Shiny packaging for example, and you want to put them into production, self-hosting, so that others can enjoy them, without limitations, on the Internet or on an internal server of ...
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Data visualisation pitfalls: how to avoid barbarplots ?

You did an experiment or a survey, or you collected data, and you are ready to analyse them. But what is the first step? Everyone will tell you that you have to visualise your data with graphs. Yes, but how? ...
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Playing around with RStudio Package Manager

Managing packages in production is a lot of work: you have to juggle between versions, internal packages, CRAN updates, Bioconductor, GitHub sources… Let's have a look into RStudio Package Manager, one of the tools available that helps you dealing with ...
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