1014 search results for "shiny"

R Shiny leaflet: using observers

March 16, 2016
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R Shiny leaflet: using observers

Using leaflet in R is fairly simple and there are plenty of online resources and examples available already. See the RStudio tutorial to get started if you haven’t already. This post presents a series of examples which build upon each other. The code displays both point data and raster data on leaflet maps with Shiny

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Install all required R packages on your Shiny server

March 13, 2016
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Install all required R packages on your Shiny server

Abstract I give a walkthrough of a bash script that installs all of the R packages required by an R program (e.g., Shiny app, R file, R markdown file). This is useful for speeding up the workflow of adding a new Shiny app to a server. Why do we need a script? As explained in Dean Attali’s excellent post on how...

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Add Authentication to Shiny Server with Nginx

March 9, 2016
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Add Authentication to Shiny Server with Nginx

Shiny Server is a great tool, but I’ve always found it odd that there was no built-in password authentication. Sure, the Shiny Pro edition has SSL auth., but even for open source projects, I’m not really crazy about just anyone hitting my server whenever they want. To solve this little problem, I whipped up two

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Developing a R Tutorial shiny dashboard app

March 9, 2016
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Developing a R Tutorial shiny dashboard app

Through this post, I would like to describe a R Tutorial Shiny app that I recently developed. You can access the app here. (Please open the app on Chrome as some of the features may not work on IE. The app also includes a “ReadMe” introduction which provides a quick overview on how to use Related Post

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BallR: Interactive NBA Shot Charts with R and Shiny

March 8, 2016
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BallR: Interactive NBA Shot Charts with R and Shiny

The NBA’s Stats API provides data for every single shot attempted during an NBA game since 1996, including location coordinates on the court. I built a tool called BallR, using R’s Shiny framework, to explore NBA shot data at the player-level. BallR lets you select a player and season, then creates a customizable chart that shows shot...

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Explore with Shiny the impact of sample size on “p-charts”

March 5, 2016
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Explore  with Shiny the impact of sample size on “p-charts”

Control charts I wanted to help explore the implications of changing sample size for a quality control process aimed at determining the defect rate in multiple sites. Defect in this particular case is binary ie the products are either good or not. Much of the advice on this in the quality control literature strikes me as rather...

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Declutter a shiny report’s code v2.0

March 3, 2016
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I wrote a year ago on a way to declutter shiny report code which involved putting objects into a sourced file, however, at that point in time the solution was a bit brittle and clunky. Now there’s a better way to develop shiny applications – shiny modules. In October, RStudio introduced the concept of modules The post

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Upload shapefile to R Shiny app to extract leaflet map data

March 2, 2016
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Upload shapefile to R Shiny app to extract leaflet map data

In this post I share an R Shiny app which uses the leaftlet package for interactive maps. This app differs from prior apps I’ve made featuring leaflet maps. First, it displays rasterized map data rather than just point layers. Also, longitude and latitude sliders in the browser allow for cropping the map. Additionally, the user

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Network Visualization with Plotly and Shiny

February 28, 2016
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Network Visualization with Plotly and Shiny

In addition to their more common uses, networks  can be used as powerful multivariate data visualizations and exploration tools. Networks not only provide mathematical representations of data but are also one of the few data visualization methods capable of easily displaying multivariate variable relationships. The process of network mapping involves using the network manifold to display a

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Explore New Zealand’s Tourist Industry with R and Shiny

February 24, 2016
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Explore New Zealand’s Tourist Industry with R and Shiny

New Zealand's Ministry of Business, Innovation and Employment has just released the New Zealand Tourism Dashboard, an interactive application which allows NZ residents (and curious onlookers everywhere) to explore the economic impact of tourism in the far-flung nation. The dashboard is implemented using Shiny, and all of the graphics and analyses were created using the R language Each tab...

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