Re-implement `04.ipynb` in Python as a `.py` script

### 🐍 Convert `04.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/04.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 `04.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! 🎉