Milestone report for SwiftKey/NLP text prediction project. The goal of the project is to develop a ShinyApp that performs a "next word" text prediction. The source data comes from blogs, news articles and twitter posts.

This is the presentation for the final project in the Coursera Data Science course "Developing Data Products." It was written in R and processed using RStudio Presenter. It is a companion to the app: http://andrewchastain.shinyapps.io/Tank_ballistics/

This is the presentation for the final project in the Coursera Data Science course "Developing Data Products." It is a companion to the app: http://andrewchastain.shinyapps.io/Tank_ballistics/

This presentation examines the "Time Map" of Motor Vehicle Theft, Fraud, Aggravated Assault and DUII in Portland, OR from 2012-2014. A Time Map examines the local frequency of events by plotting the time since a similar event and the time until the next for each event. This pages is intended primarily as a demonstration of using Plotly with R. This document was created in RStudio using the knitr and Plotly packages.

A quick leaflet example made using the CivicApps API and leaflet library in R.

Analysis of NOAA Storm Database examining the most harmful and damaging storm event types since 1950. This was written for Course Project 2 of the Reproducible Research course on Coursera.