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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