Welcome to the Debank LuckyDraw Analysis repository. This project aims to comprehensively analyze Debank's LuckyDraw data, extracting meaningful insights and probabilistic patterns. By exploring the collected data, we strive to uncover trends, participant probabilities, and prize distribution dynamics within the LuckyDraw system.
- Real-time extraction of LuckyDraw data from the Debank platform.
- Comprehensive analysis pipeline for participant counts, prize distribution, and winning probabilities.
- Utilization of data visualization techniques to illustrate trends and patterns.
- Python-based automation for data retrieval, analysis, and reporting.
- Gain an in-depth understanding of LuckyDraw prize distribution and patterns.
- Provide a valuable resource for data analysts and engineers interested in real-world data exploration.
- Showcase proficiency in data analysis, manipulation, and visualization techniques.
- Clone this repository to your local machine.
- Run the provided Python scripts to fetch and analyze Debank LuckyDraw data.
- Explore the Jupyter notebooks for detailed insights and visualizations.
Contributions are welcome! If you have ideas for enhancements or new analysis techniques, feel free to create pull requests.
This project is for educational and portfolio purposes, demonstrating skills in data analytics and engineering. It is not officially affiliated with Debank and solely focuses on analyzing publicly available data.