Exploratory And Predictive Analysis of Olympic Data Using Web Scraping

Abstract

The Olympics games are the most popular and crucial sports event that happens every 4 years. The Olympic games is the world's most important sports competition in which around 200 nations participate. Thousands of athletes participate in 35 different sports and over 400 events. It is crucial to analyze the data related to Olympic games as it takes in account the data related to thousands of athletes belonging to around 200 countries. This paper represents the extraction of this data through web scraping by targeting several websites and performing an analysis study on these collected data. This analysis represents the role of economic factors like country's GDP, GDP per capita, hosting country, population versus the medal count that each country is obtaining, so that the obtained analysis measures can be used to enhance the performance of the athletes belonging to a particular country.