Developing Data Products in R

by Brian Caffo

This book covers the exciting field of data products. A data product is the output of a data science experiment. In this book we focus on developing data products in R, the most popular language for data scientists. Special emphasis is given to developing Shiny apps. Shiny is a platform for developing web front ends for back end R calculations. Shiny allows users to create polished web apps while only knowing R and little bit of html.

After shiny we cover other ways to make reproducible presentations and interactive graphics. In reproducible presentations, we cover Slidify and RStudio's Presenter. In interactive graphics, we demonstrate RCharts, Leaflet, googleVis and plot.ly.

52 pages, ebook

Published November 9, 2015

About the author

Brian Caffo is a professor in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. He graduated from the Department of Statistics at the University of Florida in 2001, and from the Department of Mathematics at UF in 1995. His doctoral advisor was James G. Booth. He works in the fields of computational statistics and neuroinformatics and co-created the SMART working group. He has been the recipient of the Presidential Early Career Award for Scientists and Engineers, Johns Hopkins Bloomberg School of Public Health Golden Apple and AMTRA teaching awards.

Reviews

[Yevonnael Andrew · Rating 4 out of 5]

Good introduction book for developing data products in R, like using Shiny, dashboards, interactive plotting and interactive map.