WordNinja is a Shiny App that attempts to predict the next word of a sentence fragment input by a user. This R Presentation details the application.

This milestone report explored the use of a text collection as the basis for a text prediction algorithm. Specifically, the analysis explored the text collection itself, as well as ways to clean and explore the collection contents. Although the summary findings are important for the creation of the prediction algorithm going forward, the actual creation was left to further works.

A Slidify presentation for Shiny Crime Map, an interactive map that allows the user to view the locations of different types of violent crimes in the Houston, Texas downtown area from January 2010 through August 2010.

This document analyzes the ToothGrowth dataset, which is based on C. I. Bliss's 1952 research into "The Effect of Vitamin C on Tooth Growth in Guinea Pigs".

This document investigates the exponential distribution using R and incorporates comparisons with the Central Limit Theorem (CLT).

Sometimes, a given class does poorly on a test. The question is, are their results significantly different from those of the population taking that test?

Sometimes, a given class does poorly on a test. The question is, are their results significantly different from those of the population taking that test?

Storms and other severe weather events can cause both public health and economic problems for communities and municipalities. Many severe events can result in fatalities, injuries, and property damage, and preventing such outcomes to the extent possible is a key concern. This project involves exploring the U.S. National Oceanic and Atmospheric Administration's (NOAA) storm database. This database tracks characteristics of major storms and weather events in the United States, including when and where they occur, as well as estimates of any fatalities, injuries, and property damage.