Performance Analysis of Olympic Games using Data Analytics

This paper is used to analyze data from the Olympic Games in order to identify patterns and trends. The data set includes information on athletes, events, and results from the Games. The analysis will focus on identifying trends in athlete performance, event popularity, and results over time. The study will begin by cleaning and preparing the data for analysis. Next, descriptive statistics will be used to summarize the data. Finally, inferential statistics will be used to identify patterns and trends in the data. It is expected that the analysis will reveal patterns and trends in the data that will be helpful in understanding the Olympic Games and predicting future results.

I. Introduction

The Olympic Games are one of the most popular sporting events in the world, and as such, there is a wealth of data that can be analyzed in order to gain insights about the event, the athletes, and the fans. Data analytics can be used to track trends over time, understand how different athletes perform, and even predict.[1] who will win medals in future competitions. Additionally, data analytics can be used to improve the fan experience by providing information about events, athletes, and results in real-time.