Re-implement `03.ipynb` in Python as a `.py` script

🐍 Convert 03.ipynb to a Python script

This notebook currently uses R for data analysis and visualization. Your task is to convert the logic into Python and save it as a standalone .py script in the same folder.

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📁 Target file path:

projects/03.py

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✅ Guidelines:

• Use pandas for data manipulation
• Use matplotlib / seaborn for plots
• Use read_csv() on datasets from the datasets/ folder
• Match the logic of the original R notebook as closely as possible
• Add meaningful comments and structure your code clearly
• You may use argparse if needed to allow parameterization

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💡 Bonus Tips:

• You can preview the R logic inside 03.ipynb before translating it.
• If any logic seems inefficient in R, feel free to write cleaner Python alternatives.
• You may wrap sections of the script into functions or classes for clarity.

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Once done, open a pull request referencing this issue.
Happy Hacking! 🎉