Olympic Games Analysis and Visualization for Medal Prediction

The Olympics is an international sporting event with over 200 countries participating in various competitions. Athletes from different countries compete and make their countries proud of their sporting excellence. Despite their huge populations, many of the most populous nations do not win many Olympic medals. The main purpose of this white paper is to use Python to analyze the Olympics dataset, compare the overall performance of each country, and evaluate each country’s contribution to the Olympics. These analyzes provide greater insight into each nation’s performance at the Olympic Games over the years and help athletes quickly analyze their own and their competitors’ performance. This paper uses exploratory data analysis techniques to compare the performance of different countries and their contribution to the Olympic Games. Various dimensions of the Olympics dataset are visualized to provide a country’s status in the Olympics, help underperforming countries produce quality athletes, and improve their performance in the Olympics.