A presentation for the Johns Hopkins Data Science capstone project, this describes a n-gram text prediction model I built, tuned, and made available on the web using the Shiny framework.

A brief visualization and analysis of the public data set from Mobi, a bike-sharing company in Vancouver, Canada. Three aspects will be covered: traffic flow estimation, mapping the popularity of individual stations, and seasonal variation in bike use.

Final project for Reproducible Research by Johns Hopkins via Coursera. In this analysis we will report on the top weather-related causes of human death & injury and property & crop damage, for the United States.