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https://github.com/udipta14/historical-olympic-games-eda-python
Exploratory Data Analysis of a Historical Olympic Games Dataset, including all the games from Athens 1896 to Rio 2016.
https://github.com/udipta14/historical-olympic-games-eda-python
data-cleaning data-visualization eda matplotlib numpy pandas python3 seaborn
Last synced: about 9 hours ago
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Exploratory Data Analysis of a Historical Olympic Games Dataset, including all the games from Athens 1896 to Rio 2016.
- Host: GitHub
- URL: https://github.com/udipta14/historical-olympic-games-eda-python
- Owner: udipta14
- Created: 2023-10-20T22:39:22.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-10-20T22:52:21.000Z (about 1 year ago)
- Last Synced: 2023-10-21T00:28:11.209Z (about 1 year ago)
- Topics: data-cleaning, data-visualization, eda, matplotlib, numpy, pandas, python3, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 3.62 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
Olympic Games EDA
**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 ConclusionsFor More Enquiry Click On 👉 [LinkedIn](www.linkedin.com/in/udipta-anupam)