Shiny Rstudio. Shiny is a package that makes it easy to create interactive web apps using R and Python.
Shiny Rstudio. Shiny is a package that makes it easy to create interactive web apps using R and Python.
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In this episode of Rewiring Government, Josh talks to Alex Howard, a senior analyst at the Sunlight Foundation. They discuss how government harnesses technology to regain trust, the surprisingly meaningful impact of nonprofit tax data, and trends in...
A new Shiny release is upon us! There are many new exciting features, bug fixes, and library updates. We’ll just highlight the most important changes here, but you can browse through the full changelog for details. This will likely be the last release...
(This article was first published on Giga thoughts ... » R, and kindly contributed to R-bloggers) In this post I create a Shiny App, Sixer, based on my R package cricketr. I had developed the R package cricketr, a few months back for analyzing the performances...
Consider, for a moment, the following scenarios associated with installing and running a desktop based application on your own computer: a learner installing software for a distance education course: course materials are produced in advance of the course...
Ever since I’ve started working on R , I always wondered how I can present the results of my statistical models as web applications. After doing some research over the internet I’ve come across ShinyR – a new package from...
MiniWrites – A hub for your creative projects!
A hub for your creative projects!
SOCRATES is an international, refereed (peer-reviewed) and indexed scholarly hybrid open-access journal in Public Administration a...
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The JavaScript library selectize.js provides a much more flexible interface compared to the basic select input. It allows you to type and search in the options, use placeholders, control the number of...
Shiny is package that makes it easy to build interactive web apps straight from R & Python.
Shiny - Persistent data storage in Shiny apps
Shiny apps often need to save data, either to load it back into a different session or to simply log some information. However, common methods of storing data from R may not work well with Shiny.
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