This project aimed to analyze student attendance and book borrowing activities within a library environment. The work involved cleaning and structuring raw data related to visits, time periods, and book categories to ensure accuracy and reliability. Exploratory data analysis was conducted to identify usage patterns, peak attendance periods, and borrowing trends. The results were presented through clear visualizations and analytical reports to support data-driven decisions for improving library services and resource management.