Data Analysis of The Olympic History

Poster Number

7A

Lead Author Affiliation

Business Analytics

Lead Author Status

Masters Student

Introduction/Abstract

This analysis of the 120 years Olympic History will help answers the question which countries and athletes are more likely to win future games.

Purpose

The objective of this research is to identify the best-performing countries and athletes throughout the 120-year history of the Olympics by examining the various aspects that may have a role in earning a medal. This analysis will provide a deeper understanding of the Olympics and predict which different countries or athletes are more likely to win in future Olympics.

Method

In this study, I used machine learning methods, statistical analysis, and visualizations to analyze the data.

Results

The findings show various correlations in the data, indicating which elements lead to a medal victory and these results can be utilized to predict future medal winners. The results of the top winning countries and athletes, as well as the contributing variables, are presented in the conclusion.

Significance

The main goal in the conducting the analysis was using this historical data to forecast future winners based on previous performances.

Location

William Knox Holt Memorial Library and Learning Center, University of the Pacific, 3601 Pacific Ave., Stockton, CA 95211

Format

Poster Presentation

Poster Session

Morning

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Apr 30th, 10:00 AM Apr 30th, 12:00 PM

Data Analysis of The Olympic History

William Knox Holt Memorial Library and Learning Center, University of the Pacific, 3601 Pacific Ave., Stockton, CA 95211

This analysis of the 120 years Olympic History will help answers the question which countries and athletes are more likely to win future games.