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README.md

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# Awesome R Shiny [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)
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# Awesome R Shiny
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[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)
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A curated list of resources for R Shiny. This awesome list was inspired by https://github.com/dpastoor/awesome-shiny.
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- [Contribution](#contribution)
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# Resources
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## General
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* [Cheat Sheets](https://www.rstudio.com/resources/cheatsheets/)
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* [I-BioStat - Tutorial in R-Shiny](https://ibiostat.be/seminar/uploads/introdcution-r-shiny-package-20160330.pdf)
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* [Neon Data Skills - RShiny basics](http://neondataskills.org/R/Create-Basic-Shiny-App-In-R)
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* [How to write web apps in R with Shiny](https://opensource.com/article/17/1/writing-new-web-apps-shiny)
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# Tools
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* [MAVIS](https://github.com/kylehamilton/MAVIS) - MAVIS: Meta Analysis via Shiny.
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* [shinyTreeViewer](https://github.com/KlausVigo/shinyTreeViewer) - A simple treeviewer based on the R packages ape and phangorn.
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* [iTunes Reviews Analysis](https://github.com/amrrs/itunesr_webapp) - iTunes App Store Reviews Text Extractor and Text Analysis Web App
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* [NYT Bar Optimizer](https://github.com/jordanmeyer/nyt-bar-optimizer) - Optimize your liquor cabinet using cocktail recipes from New York Times Cooking
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# Contributors
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* [Rob Gilmore](https://github.com/grabear)
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* [S. Hutchins](https://github.com/sdhutchins)
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* [Shaurita Hutchins](https://github.com/sdhutchins)
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* [Devin Pastoor](https://github.com/dpastoor)
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* [Dean Attali](https://github.com/daattali)
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* [Luke Singham](https://github.com/ucg8j)
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* [AbdulMajedRaja](https://www.github.com/amrrs)
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* [Leonardo Trimarchi](https://domthecodingcaveman.wordpress.com/)

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