Lecture Series

The Hendrick Motorsports Conundrum

This is the case study for branding conformity with an html analysis report. Based on the 15 countries index markets, the historical index data was fetched, cleaned, normalized, and visualised on step by step. Please note that this analsis does not guarantee for the benefit of stock business.

For ANTH/GBH390, Spring 2025, Northwestern University

For my analysis, I will examine data from the 2024 MLB season to explore which hitting statistics correlate most strongly with team success. For example, a high team on-base percentage (OBP) may be closely linked to winning more games. I also plan to analyze individual swing characteristics to determine which traits are most associated with strong batting performance. There are many metrics to choose from to evaluate this, but I am going to choose OBP. players with faster swing speeds might reach base more often, contributing to a higher OBP. Ultimately, I want to uncover which swing characteristics are linked to strong hitting metrics, and which hitting metrics best predict a team’s success. These insights could be valuable to both baseball fans and managers looking to build a winning roster. I’m especially interested in this topic because I played baseball growing up, and the sport’s deep integration of data—especially around swing mechanics and player performance—has always fascinated me. As a fan of the game, I want to know the answers.