The project involved comprehensive Data Cleaning, Visualization, and Analysis using Python. Leveraging Jupyter Notebook as the integrated development environment (IDE), key Python packages and libraries including Matplotlib, Seaborn, and pyplot were utilized for effective and visually insightful data representation.