data science

Developing Data Products exercise: shiny and slidify

Currently I am following the Developing Data Products class from Coursera. The class is part of the Data Science track that I am following since last year. The goal of the class is to learn about how to create products from the work you have done. This can be a presentation, an R package or a web application for example.

The course project of the class consists of creating a shiny app and a slidify presentation.

Shiny?

Shiny is a web application framework for the language R. You can turn your data analysis into a nice web application without knowledge of HTML/Javascript or CSS. So you don’t have to be a computer scientist to get your stuff on the web.
Shiny also has a lot of control widgets (e.g. buttons, sliders) where a user can interact with the application.

Slidify?

Slidify is a tool that can be used to develop presentations that are written in RMarkdown. You can embed R code in the Markdown language and the presentation is compiled from this source. Handy if you just want to change some code lines or data input without wanting to create a new presentation.
Slidify has a nice integration with Github, Dropbox and RPubs: it can be uploaded via the publish command in the slidify package.

For my course project, I have chose to create an app and a presentation of the old faithful dataset, simply because I like geysers:-)

Old Faithful app
Old Faithful presentation

old-faithful

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