Bayesian Regression Analysis on a data set of 651 movies. Used to find out which factors are most important in audience rating (as determined by Rotten Tomatoes). Also, predictive to find out the audience score for a new movie.

Done for University of Washington Data Science at Scale Specialization. Visuals comparisons of Crime in SF and Seattle by Crime Type and Time of Day. Theft/Fraud much more likely in Seattle than SF.

R Presentation describing how to use and the methods of the Text Prediction Application I built for the Data Science Capstone Project.

Initial Data Exploration of Swift Key.

Describes the how to use and the methodology behind the Shiny Application (MPG Prediction) created by Wesley E for Data Products Project in the Johns Hopkins Data Science Coursera Course.

Synopsis We examine NOAA Storm data to determine what kinds of storms are most destructive both in terms of human health and in terms of economic costs.