This is the Shiny code for the Data Products Coursera course taught by John Hopkins University.
This is the user-interface definition of a Shiny web application that illustrates the effect of noise on a signal. The shiny app is deployed at this shinyapps website and the slide deck is at this gh-pages website.
Write a shiny application with associated supporting documentation. The documentation should be thought of as whatever a user will need to get started using your application.
Deploy the application on Rstudio's shiny server
The application must include the following:
The Shiny application in question is entirely up to you. However, if you're having trouble coming up with ideas, you could start from the simple prediction algorithm done in class and build a new algorithm on one of the R datasets packages. Please make the package simple for the end user, so that they don't need a lot of your prerequisite knowledge to evaluate your application. You should emphasize a simple project given the short time frame.
OK, you've made your shiny app, now it's time to make your pitch. You get 5 slides (inclusive of the title slide) to pitch a your app. You're going to create a web page using Slidify or Rstudio Presenter with an html5 slide deck.
Here's what you need
Your presentation must satisfy the following
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.