In this assignment, we utilize pandas to analyze the DVD rental database. To populate the dataframe, we establish a connection using SQLite and subsequently create the dataframe using pd.read_sql. Our code, found in main.ipynb, leverages functionalities from pandas, numpy, and SQL, and also features visualizations using matplotlib. The database can be accessed and downloaded from this Kaggle link.