1. Load data into a Pandas DataFrame.
2. Clean the data by handling missing values and duplicates.
3. Transform the data by converting data types and applying string operations.
4. Aggregate and group the data to calculate summary statistics.
5. Visualize the data using Matplotlib and Seaborn.
6. Interpret the visualizations and draw conclusions.
7. Document the analysis and findings.