In this guide you’ll find both original content and curated resources to: + Build R shiny apps from scratch + Select the optimal dashboard framework for your R shiny app dashboard + R packages to build interactive, professional quality data visualization + Improve the user experience and dashboard speed tricks + All the ways you can deploy and share R shiny app dashboards + Lessons from a dashboard veteran for better R shiny app dashboards

This is a tutorial post about building a webapp with user form and leaflet map visualization using R Shiny. The webapp I built aims to collect crowdsourced data of how sustainable are the eateries …

Quickly and conveniently create interactive visualisations of spatial data with or without background maps. Attributes of displayed features are fully queryable via pop-up windows. Additional functionality includes methods to visualise true- and false-color raster images and bounding boxes.

Shiny's 1.6 has a new function, bindCache(), which makes it easy to dramatically speed up reactive expressions and output rendering functions.

Together with Clara Bicalho (UC Berkeley) and Sisi Huang (WZB), I recently developed a web application that acts as a convenient interface to the DeclareDesign R package and its repository of resea…

In this article we look at how to build a shiny app with clear code, reusable and automatically tested modules. For that, we first go into the package structure and testing a shiny app before we focus on the actual modules.

In this post we’d like to introduce you to our new R package shinyMatrix. It provides you with an editable matrix input field for shiny apps.

Pedro Coutinho Silva is a software engineer at Appsilon Data Science. It is not always possible to create a dashboard that fully meets your expectations or requirements using only existing libraries. Maybe you want a specific function that needs to be custom built, or maybe you want to add your own style or company branding. Whatever the case, a moment might come when you need to expand and organize your code base, and dive into creating a custom solution for your project; but where to start?

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Shiny Visualisation modules, gadgets and functions - mrhopko/shinyVizModules

Provides functions that make it easier to construct Shiny apps that can dynamically construct reproducible R scripts.

I developed a web application to enable exploration of the data collected by a survey of software testers. I explain how R and Shiny can be used to create reactive web applications which make data accessible to a wider audience.

Bored and taught myself to make shiny apps today. Curious if anyone actually uses these at work though and some examples if so

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A general shiny app to import and export data to R. Note that this can be used as a starting point for any app that requires data to be loaded into Shiny. · GitHub

A simple Shiny application to demonstrate the use of saving and restoring state using an RDS file. - radmuzom/shiny_module_save_restore_state

Live theme switcher for R Shinydashboard applications - nik01010/dashboardThemeSwitcher

This R Shiny Tutorial will provide you with a detailed and comprehensive knowledge of R Shiny and how to create interactive Web Applications.

shiny.info is an open source package for R Shiny that allows developers to display diagnostic information in a div located in the corner of a Shiny app.

Add & Validate forms in your Shiny App! Contribute to piotrbajger/shinyreforms development by creating an account on GitHub.

Shiny app for building charts with a point-and-click interface - sicarul/shiny-chart-builder

Creating a Shiny application to scrape data from IMDB's top movies.

Shiny 1.0.4 is now available on CRAN. To install it, run: install.packages("shiny") For most Shiny users, the most exciting news is that file inputs now support dragging and dropping: It is now possible to add and remove tabs from a tabPanel, with the new functions insertTab(), appendTab(), prependTab(), and removeTab(). It is also possible to hide and show tabs with hideTab() and showTab(). Shiny also has a new a function, onStop(), which registers a callback function that will execute when the application exits.

shinytest

Introduction Data visualization is an important aspect of the data science work flow. This app enables the analyst to understand the data in question. In this post, we will build an application whi…