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Cultivating creativity in data work
Traditionally, statistical training has focused primarily on mathematical derivations, proofs of statistical tests, and...
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Democratizing R with Plumber APIs
The Plumber package provides an approachable framework for exposing R functions as HTTP API...
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Don’t let long running tasks hang your users Introducing ipc for Shiny
Long running tasks in Shiny are not cancelable and typically lock the user interface...
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Effective use of Shiny modules in application development
As a Shiny application grows in scale, organizing code into reusable and streamlined components...
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Empowering a data team with RStudio addins
RStudio addins provide a mechanism to extend RStudio in various ways. Addins can interact...
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Getting it right: Writing reliable and maintainable R code
How can you tell that your scripts, applications, and package functions are working as...
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Integrating React.js and Shiny
React.js is a thriving JavaScript library that eases encapsulating and sharing sophisticated component libraries...