Storm data analysis and identification of top event types for Population Health and Economic damages

This report is an early checkpoint on the way to building a text prediction app (the kind that suggests the next word as you type, similar to the predictive keyboard on a smartphone). The goal here is not the finished app — it’s to show three things: I can download, load, and work with the raw text data. I understand the basic shape and size of the data (how much there is, how it’s structured). I have a clear, practical plan for turning this data into a working word-prediction model and a simple app. Everything below uses three text files — collected from blogs, news articles, and Twitter posts — all in US English, provided as the source data for this project.