Events including Pentathalon, Javelin Throw, and 100 Meter Dash.
Events including 100 Meter Butterfly, 200 Meter Breaststroke, and 4x100 Freestyle Relay.
Events including Balance Beam, Parallel Bars, and Horizontal Bars.
Each row in our data is an instance of an athlete competing in Olympic events. Upon initial inspection, we decided to conduct an analysis of countries and athletes that have allowed those countries to succeed. We soon realized that this might have too wide of a scope, so we narrowed our analysis to the three most popular Olympic sports determined by the International Olympic Committee: Athletics, Gymnastics, and Swimming. These events are deemed the most popular from TV viewing metrics, internet popularity, public surveys, ticket requests, press coverage, and number of national federations competing. This way, we can look deeper at athletes in these sports to draw meaningful conclusions.
Our research questions were a result of brainstorming how we could use and manipulate existing data to find interesting patterns or trends. We split our questions into the following categories.
Brendan Avey is a junior from Springfield, Virginia studying Business Analytics and Economics with minors in Collaborative Innovation and Business Technology. Brendan enjoys coding and data analysis because he can pull insights from large datasets to create interesting projects like this one. He hopes to land a job in management consulting after college.
Caroline Janki is a junior from Atlanta, Georgia studying Business Analytics and Sociology. Caroline enjoys the problem solving aspect of coding, especially when all the pieces fall together and the code is finally complete. Additionally, she enjoys creating data visualizations to help convey interesting patterns found in large data sets. She plans to purse a career in investment banking after college.