An update to my R Markdown class with some added bells and whistles.

This presentation was created in fulfillment of a course requirement for the Coursera Data Science Specialization Capstone Course. It presents the details of an algorithm used to predict a word given a string of text.

I was asked to participate in a feedback forum for open crime data released by Montgomery County, MD. In order to gather my thoughts and illustrate my points, I put together an R Markdown document.

This document is my submission for the first milestone report for the Coursera Data Science Specialization Capstone Project.

I was asked to give a 2-hour introduction to R Markdown for my colleagues at work. This document presents the content of my slides with some extra explanation. The intention is to provide a broad overview so people can decide whether it would be useful for them to learn more.

This document describes how to create a treemap in R using the treemap package. A treemap is similar to a pie chart in that it visually displays proportions by varying the area of a shape.

This document describes how to create three types of word clouds; a simple word cloud, a comparison cloud, and a commonality cloud using the tm and wordcloud packages.

This document describes how to build circular network analysis visualizations using three R packages; igraph, circlize, and edgebundleR.

This document was prepared as an assignment for the Reproducible Research course on Coursera.