The final learning module in the Coursera Data Science Specialization covers the topic of developing "data products".
Data products are applications, software, presentations, etc., based on data, that facilitate our understanding of data (Brian Caffo).
The course introduced a plentitude of development tools that can be used to create data products with almost any desired look and feel. The list included Shiny, Slidify, RPresenter, GoogleVis, Open CPU, RCharts, Manipulate, Morris Chart, XCharts and Plotly.
All of the tools have R, the statistical programming language, in their underpinnings. These are all free, open source tools.
This presentation demonstrates the use of Shiny and Slidify and how they can help us understand code blue occurances at a hospital.
All of the code for my Shiny app and Slidify slides is at https://github.com/MitchFawcett/DataProductsDemo/blob/master/index.md