This project will investigate the geographic distribution of the band Phish's concert locations during their peak era. I will focus on the three consecutive years of 1992, 1993, and 1994. The project will involve scraping concert location data from concertarchives.org for these years, cleaning the location information to extract city, state, and country, filtering for concerts within the United States. Afterwards, mapping the concerts per state for each year. The maps and data will provide a spatial understanding of Phish's touring patterns.

This analysis uses the 2020 U.S. National Oceanic and Atmospheric Administration (NOAA) Storm Events Database to assess the impact of severe weather events across the United States. Specifically, it investigates which types of events pose the greatest threats to public health, which are most frequent in each state, how these events are distributed across the calendar year, and which lead to the highest economic losses, both in property and agricultural damage. Starting with raw CSV data, the dataset is cleaned and analyzed using R. Key findings reveal that tornadoes are the most harmful to population health, wind and flooding is the most frequently reported event type, and many severe weather events tend to peak during the spring and summer months. These insights can assist emergency management officials in planning, resource allocation, and developing targeted preparedness strategies.

Chapter 8