WordPredictor uses N-gram databases and Markov Chain tables to predict the next word used in a phrase. This presentation describes the WordPredictor Application developed using a ShinyApps Dashboard Layout with the R-language.

This document presents the initial tasks for processing corpora from the HC Corpora database. Word clouds were generated of the top 50 most frequently used single words, as well as the top 100 most frequent three word phrases.

This application utilizes sophisticated algorithms for forecasting and analysis of stock charts and was developed using shiny apps . The forecasting methods utilized for this application are developed by Rob J Hyndman and George Athanasopoulous. The user is able to input a stock symbol to generate a historical chart, a forecasting chart and a cyclical loess time series decomposition to determine trends, cyclical dynamics and stochastic variations of stock charts. This application is an initial effort and requires additional features to be integrated for a more robust use/analysis. The application is to be used for informational purposes only and is not intended for actual financial investments at this time.

This report provides a preliminary threat assessment on the variety of weather events that have been recorded by NOAA since 1950. The most prevalent type of weather event recorded in this database is hail. The most threatening weather events to property as well as personnel are tornadoes. Additional recommendations are provided for further analyses to be performed for future / more rigorous investigations. Further investment in the NOAA database is seen as value added as additional refinement may offset economic impacts to what are typically considered superfluous impacts.