In this session, Isabella Velásquez walks us through Quarto Live and Shinylive, powerful tools that allow us to create interactive R, Python, and Shiny appli...

Contribute to JoachimGoedhart/Shinylive-test development by creating an account on GitHub.

How do random changes shape the genetic makeup of a population? Explore the Wright-Fisher model to understand genetic drift, visualize its effects, how to implement it in R.

YouTube video by R-Ladies Rome

In the rapidly evolving landscape of web technologies, the integration of R (and Python) with modern web frameworks has become increasingly important for data scientists and developers. This presentation introduces {shinylive}, a new R package that exports Shiny applications to be run within statically hosted websites. We will explore the capabilities of {shinylive} through its use of the innovative R package {webR}, which allows for the execution of R code in the browser (via WebAssembly and service workers) without the need for a centralized server. The presentation will cover the technical foundation of {shinylive}, including its architecture and the integration process with Quarto documents. We will also discuss the practical aspects and drawbacks of exporting Shiny apps with {shinylive}, highlighting the ease of exporting apps to a folder for local use or hosting them on GitHub pages. {shinylive} bridges the gap between Shiny and static websites, making it a valuable resource for interactive data analysis and presentation. Link to app: https://schloerke.com/presentation-2024-04-18-appsilon-shinylive/ Link to script: https://github.com/posit-dev/r-shinylive/blob/main/examples/deploy-app.yaml Link to use_github_action(): https://github.com/posit-dev/r-shinylive#github-pages Shinylive website: https://posit-dev.github.io/r-shinylive/ {webr} docs: https://docs.r-wasm.org/webr/latest/

Demo showing how to setup continuous integration deployment of an R Shinylive App on GitHub Pages through GitHub Actions - coatless-tutorials/convert-shiny-app-r-shinylive

The latest and greatest LLM packages for R; a deployed example client-side shiny app with {shinylive}; the latest census data; and dealing with NAs - plus more!

Shinylive は、R / Python でウェブアプリケーションを作るためのフレームワーク Shiny をブラウザ上で完結して動くようにするツールです。 先日の Japan.R でもLTがあったりして、認知が広がってきているのかなと思います。 そんな Shinylive は「ウェブブラウザで面白いことができるよ」という文脈で語られることが多いですが、Tidyverse blog のリリース紹...