As the developer of the Cricket World Cup Points Table Calculation with Data Ingestion project, I utilized MySQL for loading match data from CSV files, ensuring efficient storage and retrieval. Additionally, I employed BeautifulSoup for scraping live match results, enhancing data accuracy and currency. This comprehensive data ingestion process sets the stage for accurate and up-to-date information. Leveraging Pandas and SQL, I conducted the points table computation with a focus on flexibility and robustness in analysis. The seamless integration of these technologies ensures a reliable and insightful representation of the Cricket World Cup standings.
Furthermore, I utilized Jupyter for interactive documentation, facilitating code exploration and understanding. This approach not only enhances the transparency of the analysis process but also provides a user-friendly environment for exploring and understanding the nuances of the points calculation methodology. Lastly, the project is hosted on GitHub for version control and collaboration, ensuring project accessibility and transparency to the broader community interested in cricket data analysis.