Elegant Pikachu

INFO 5001 Project

This study utilizes Storm Data from the National Weather Service (NWS) to explore the connections between different storm types, geographical locations, and storm-related fatalities in the United States. The main objectives are to identify patterns, propose potential mitigation strategies, and uncover historical trends in storm behavior. We aim to answer specific questions, such as which storm types have the highest fatality rates, which states are most susceptible to storm-related fatalities, and how storm characteristics have evolved over time.

To address these questions, we analyze data from 2003 to 2023 and investigate the influence of storm characteristics on fatality rates. We also explore the impact of storm months on the number of fatalities. The ultimate goal is to provide insights and recommendations for minimizing storm-related fatalities and damages, contributing to improved planning practices for future storm events.

Through data visualization techniques, we present a ShinyApp website with clear and concise information about storm characteristics and attribute correlations. Our findings and recommendations aim to enhance mitigation efforts, raise awareness, and support well-informed decision-making for effective storm management and preparedness.