Dylan chose the sportstats client to analyze sports data because he is passionate about sports reports. He used pandas to import and clean the CSV files containing client data. His project aims to analyze patterns in team medals, events, cities, and countries to help coaches identify strategies and records. The analysis will also assist the sportstats company's clients. Dylan will explore questions like when the first season was conducted, total medals distributed, age distribution, the first sport, and highest number of players by country. He hypothesizes the first season was 1900-2000, over 200 medals were given, most players were over 14 years old, the first sport was soccer, and Brazil or Uruguay had the most players.