R Markdown output for my final project in STT333 on Bayesian Analysis.

This report presents a summary of the initial steps in developing a text prediction model using n-grams. It includes data loading, cleaning, tokenization, and a strategy for building a Shiny app.

Next Word Predictor Application

"Less word, More impact"

This project analyzes NOAA storm data from 1950 to 2011 to identify which weather events cause the most harm to public health and the economy. Using R, the data is processed and summarized with tables and plots to inform disaster preparedness efforts.