Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/bhushan148/olympics-performance-analytics
This project analyzes the 2024 Olympic Games with a focus on 🥇 athlete performance, 🏆 medal distribution, and 🌍 country rankings using Power BI and Python. Featuring data from 206 countries and 1,698 teams, it provides insights into 👟 athlete stats, 👫 gender distribution, and 📊 historical trends from 1896 to 2022.
https://github.com/bhushan148/olympics-performance-analytics
Last synced: about 2 months ago
JSON representation
This project analyzes the 2024 Olympic Games with a focus on 🥇 athlete performance, 🏆 medal distribution, and 🌍 country rankings using Power BI and Python. Featuring data from 206 countries and 1,698 teams, it provides insights into 👟 athlete stats, 👫 gender distribution, and 📊 historical trends from 1896 to 2022.
- Host: GitHub
- URL: https://github.com/bhushan148/olympics-performance-analytics
- Owner: Bhushan148
- Created: 2024-08-29T12:45:00.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2024-08-29T16:25:04.000Z (4 months ago)
- Last Synced: 2024-08-30T14:15:47.757Z (4 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 22.2 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 🏅 Olympics Performance Analytics - Power BI and Python Project
Welcome to the **Olympics Performance Analytics** project, where I analyzed the **2024 Olympic Games**, focusing on athlete performance, medal distribution, and country rankings using **Power BI** and **Python**.
## 📚 Project Overview
This project provides an in-depth analysis of the **2024 Olympic Games** by integrating data from **206 countries** and **1,698 teams**. The analysis covers athlete performance, gender distribution, medal counts, and historical data from **1896 to 2022**.
## 🔗 Live Dashboard and Portfolio
For a complete report, live dashboard, and a clearer view of the insights, please visit my portfolio: [Portfolio Link](https://lnkd.in/gF5vsKGC).
## 📊 Project Implementation
### 👉 Python Integration
- **Data Source**: Connected the dataset directly from Kaggle using a Python script for real-time data access.
- **Efficiency**: Reduced manual work and ensured up-to-date data for analysis.
### 👉 Dynamic Visuals
- **Interactive Elements**: Included animated open/close buttons for sports types and dynamic key highlights.
- **Filter-Responsive**: Visuals adjust automatically with each filter for a tailored viewing experience.
### 👉 Comprehensive Visualization
- **Athlete Analysis**: Showcased athlete choices, gender, age, and sports type.
- **Medal Distribution**: Visualized medals won across different countries and sports.
- **Historical Insights**: Provided a deep dive into data from the Olympics held from 1896 to 2022.
## 💡 Learnings
This project helped me enhance my skills in:
- **Python**: Leveraging scripts for real-time data integration.
- **Power BI**: Focusing on dynamic and interactive data visualization techniques.
## 🔍 Unique Aspects
- **Direct Data Integration**: Ensured real-time data analysis through Python scripts.
- **Interactive Visuals**: Engaged users with visuals that update dynamically based on filters.
- **Historical Analysis**: Offered insights and trend comparisons across multiple Olympic Games.
## 🏆 Potential Applications
This project can be highly valuable for:
- **Sports Analysts**: To assess athlete and country performances.
- **Event Organizers**: To gain insights into participation and medal distribution trends.
- **General Audiences**: To explore Olympic history and performance analytics.
## 📸 Dashboard Images
The dashboards from this project are showcased in a slideshow format at the beginning of this README. These images represent key insights and visualizations created during the analysis.
## 🛠️ Tools and Technologies Used
- **Power BI**: For creating interactive and dynamic dashboards.
- **Python**: For data integration and real-time analysis.
- **Kaggle**: Data source for Olympic Games data.
## 📂 Project Files
- **Power BI Dashboard**: [Download Link](#)
- **Python Script**: [Download Link](#)
- **Project Report**: [Download Link](#)
- **Dashboard Images**: [Download Link](#)
## 🌟 Acknowledgements
Special thanks to The Developer for their support and guidance throughout this project.
## 📫 Connect with Me
Feel free to connect with me on [LinkedIn](https://www.linkedin.com/in/bhushan-gawali/) or check out my [Portfolio](https://lnkd.in/gF5vsKGC) for more projects.
## Project Images
