Python Data Analysis project that includes data cleaning, preprocessing, exploratory data analysis (EDA), and visualization. The project demonstrates handling datasets, extracting insights, and presenting results using libraries such as Pandas, NumPy, and Matplotlib/Seaborn. The code is written in a clean, modular way and can be easily adapted to different datasets