🐍 Convert 01.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.
📁 Target file path:
✅ 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
💡 Bonus Tips:
- You can preview the R logic inside
01.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.
Once done, open a pull request referencing this issue.
Happy Hacking! 🎉
🐍 Convert
01.ipynbto a Python scriptThis notebook currently uses R for data analysis and visualization. Your task is to convert the logic into Python and save it as a standalone
.pyscript in the same folder.📁 Target file path:
✅ Guidelines:
pandasfor data manipulationmatplotlib/seabornfor plotsread_csv()on datasets from thedatasets/folderargparseif needed to allow parameterization💡 Bonus Tips:
01.ipynbbefore translating it.Once done, open a pull request referencing this issue.
Happy Hacking! 🎉