INTRODUCTION

This project is based on the exploratory data analysis of Historic Olympic Game data using PYTHON. This is a historical dataset on the modern Olympic Games, including all the Games from Athens 1896 to Rio 2016. The aim of this analysis was to extract valuable insights and answer a variety of questions related to the history, participation, and performance of nations and athletes in the Olympic Games. I have extracted one csv file ‘athlete_events’ using PANDAS, aggregated the data by using NUMPY and generated valuable insights from powerful visualizations using Matplotlib and Seaborn.

Index Of Contents

• Importing Dataset
• Data Preparation & Cleaning
• Exploratory Analysis and Visualization
• Top countries participating in Olympics
• Age Distribution
• Gender Distribution
• Participants across seasons
• Asking and Answering Questions
• Q1: Which countries WON the maximum Gold Medals in last held Olympic competitions ?
• Q2: Countries winning maximum Medals per year ?
• Q3: Top 10 Individual winning maximum number of Olympics Medals for their country ?
• Q4: Spread of Medal based on Age, Height and Weight ?
• Q5: Women participation at Olympics ?
• Q6: Medal won Individual with Age more than 50?
• Inferences and Conclusions

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