The Super Bowl is one of, if not, America’s most historic and prized cultural events. Every year, the games draw millions of viewers from around the country and world, creating a centripetal force that connects us viewers together for entertainment and unexpected drama.
In my second data science project, I decided to conduct exploratory data analysis on the first 55 Super Bowls in NFL History (from the 1966-1967 NFL Season to the 2020-2021 NFL Season), highlighting various trends in our games through stunning, colorful graphs. Although trends visualized through my analysis may not seem applicable to future games, it is interesting to note different patterns that have arisen throughout NFL’s treasured and unpredictable history.
I used the programming language R to achieve my goals.
Visit my GitHub repository to see the code behind my works: https://github.com/dsy5/superbowlhistoryanalysis