1. Analyze and create visualizations on an Olympic dataset from 1896 to 2016 to uncover which countries stay at the top overtime, by season, and by sport; what it takes for an Olympian to be at the top for each sport, sport popularity, and the relationship between Olympic Medal counts and country’s GDP.
2. Additionally from the Olympic dataset, machine learning was incorporated to predict the amount of medals 25 countries would obtain in the 2020 Tokyo Olympics with Linear Regression, Logistic Regression, and Auto Regressive Integrated Moving Average(ARIMA) model.