Course: Developing Data Products

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Projects

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The materials below are used by students in this course. To sign up to take the course online, please visit the Johns Hopkins Data Science Specialization.

Course Project

This peer assessed assignment has two parts. First, you will create a Shiny application and deploy it on Rstudio's servers. Second, you will use Slidify or Rstudio Presenter to prepare a reproducible pitch presentation about your application.

» Project Instructions

Your Shiny Application

  1. 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.
  2. Deploy the application on Rstudio's shiny server
  3. Share the application link by pasting it into the text box below
  4. Share your server.R and ui.R code on github
The application must include the following:

  1. Some form of input (widget: textbox, radio button, checkbox, ...)
  2. Some operation on the ui input in sever.R
  3. Some reactive output displayed as a result of server calculations
  4. You must also include enough documentation so that a novice user could use your application.
  5. The documentation should be at the Shiny website itself. Do not post to an external link.
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.