1001 search results for "Shiny"

Create your own Visual Resume with my new Shiny App

January 19, 2015
By
Create your own Visual Resume with my new Shiny App

Shiny Link: https://ndphillips.shinyapps.io/Visual_Resume/ How much do I love R? Enough that I maintain several ‘fun R’ projects. One of my favorites is my Visual Resume generator – which creates an individualised visual resume based on a person’s education and job history (and publications and research interests, etc.). I was inspired by this blog post on infographic resumes ...

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shinyEvents: build shiny apps with event handlers

January 15, 2015
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shinyEvents: build shiny apps with event handlers

RStudio's shiny is a great framework to generate web applications with R. In a classical shiny app, interactivity is not generated via event handlers but by reactive programming. For details, see the shiny documentation and tutorials under http://shiny.rstudio.com/. While shiny's reactive programming model is great for smaller apps, I personally found it less useful for bigger applications that create...

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Creating WEB APPS WITH SHINY – REACTIVE GRAPH OF AVERAGE US HOUSEHOLD INCOME BY RACE

January 13, 2015
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Creating WEB APPS WITH SHINY – REACTIVE GRAPH OF AVERAGE US HOUSEHOLD INCOME BY RACE

I finally finished my first Shiny application! You can click this link to check it out. Below is a screenshot of what it looks like. I got all the data from the United States Census Bureau website. What the app does is provide a comparison of average income by race for...

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Secure your Shiny apps (against SQL injection)

January 12, 2015
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Shiny takes inputs from UI elements and sends them to the server, where the application...

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Run scoring trends: using Shiny to create dynamic charts and tables in R

January 7, 2015
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Or, Retracing my stepsAs I’ve been learning the functionality of Shiny, the web app for R, I have used the helpful tutorials available from the developers at RStudio. At some point, though, one needs to break out and develop one’s own application.  My Shiny app “MLB run scoring trends” can be found at (

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Announcing shinyapps.io beta

January 6, 2015
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Announcing shinyapps.io beta

RStudio is happy to announce the availability of the shinyapps.io beta. Shinyapps.io is an easy to use, secure, and scalable hosted service already being used by thousands of professionals and students to deploy Shiny applications on the web. Today we are releasing a significant upgrade as we transition from alpha to beta, the final step

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Making Static & Interactive Maps With ggvis (+ using ggvis maps w/shiny)

December 29, 2014
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Making Static & Interactive Maps With ggvis (+ using ggvis maps w/shiny)

Even though it’s still at version 0.4, the ggvis package has quite a bit of functionality and is highly useful for exploratory data analysis (EDA). I wanted to see how geographical visualizations would work under it, so I put together six examples that show how to use various features of ggvis for presenting static &

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Icon Array: An R function (and Shiny App!) to create icon arrays

December 22, 2014
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Icon Array: An R function (and Shiny App!) to create icon arrays

What if I told you there was a new drug that has been proven to DOUBLE your changes of getting over a cough? Sounds great doesn’t it? Well, before we (ahem) cough up the dough for drug X, let’s take a closer look at the clinical trial data: First, let’s look at the results from ...

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A short post: A Shiny Application for Visualizing Colors in R

December 16, 2014
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A short post: A Shiny Application for Visualizing Colors in R

Choosing the right colors for graphics is vital for good data visualization. There are 657 colors defined in R using color names. The names of these colors can be obtained using the R command: Some examples of color names in R include exotic sounding ones such as ‘steelblue1′, ‘thistle’, ‘mintcream’ and so on! But how

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Hierarchical Clustering with R (feat. D3.js and Shiny)

December 14, 2014
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Hierarchical Clustering with R (feat. D3.js and Shiny)

Agglomerative hierarchical clustering is a simple, intuitive and well-understood method for clustering data points. I used it with good results in a project to estimate the true geographical position of objects based on measured estimates. With this tutorial I would … Continue reading →

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