Developing Data Products in R
Developing Data Products in R
About the Book
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.
License
About the Authors
Table of Contents
-
Preface
- About this book
-
What is a data product?
- The goal of this book
- Manipulate
-
Shiny, Part 1
- Your first app
- Style and markup
- Different input types
- Making your site interactive
- Putting it all together
- Another example
- Sharing your app
-
Shiny Part 2
- Reactivity
- More on reactive expressions
- Adding an action button
- More on layouts
- Uploading a file
- Summary
-
Reproducible presentations, slidify
- Markdown
- Slidify
- Code chunks
- Publishing
- Publishing to Rpubs
-
HTML5Deck Frameworks - Mathjax
- HTML
- Adding interactive elements to slidify
-
RStudio’s Presenter
- Authoring content
- Compiling and tools
- Visuals
- Hierarchical organization
- Two columns
- Changing the slide font
- Really changing things
- Slidify versus RPres
-
Interactive graphs
- rCharts
- googleVis
- leaflet
- plot.ly
- Summary
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