Shiny application to predict natural language.

The first step in building a predictive model for text is understanding the distribution and relationship between the words, tokens, and phrases in the text. The goal of this task is to understand the basic relationships you observe in the data and prepare to build your first linguistic models.

The goal of this report is to expose the results of the analysis of the NOAA Storm Database to answer the following questions about severe weather events: * Across the United States, which types of events (as indicated in the EVTYPE variable) are most harmful with respect to population health? * Across the United States, which types of events have the greatest economic consequences? We found that events categories with the most impact for the population health, are not in general the same ones having the biggest economic consecuences.