Word Prediction Project - prototype app

Milestone Report - Word Prediction Project

This is the final assignment for Developing Data Products course. It has five slides (plus the auto-generated cover slide) as required, and ties in with my Shiny app.

Quick analysis of ratio of Vanguard Small Cap ETF (VB) vs. Vanguard S&P 500 ETF (VOO)

This investigation uses the National Oceanic and Atmospheric Administration’s storm event database covering US major storm and weather events during the period 1950 to 2011. The analysis looks at two categories of consequences (health and economic) associated with specific event types, identifying the event types with the most impact for each category. In the case of the health consequences, the available data offered fatality and injury totals by event, events that are qualitatively different and inappropriate to combine. We examined by the top two health impacts for each fatalities and injuries, and combining the two sets. We conclude that tordanos are by far the largest source of both fatalities and injuries. Excessive heat and thunderstorm wind are both an order of magnitude lower in injuries, and significantly lower in fatalies as well. In the case of the economic consequences, the variables available were crop damage in dollars and property damage in dollars, which we summarized by event type and identified the event types with the highest economic impact. Flood is by far the most economically damaging weather event. Hurricane, tornado and storm surge are grouped lower, followed a significant drop to the next level.