arya2004/data-science

Re-implement `06.ipynb` in Python as a `.py` script

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#13 opened on Oct 3, 2025

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data-sciencegood first issuehacktoberfesthacktoberfest-acceptednotebook-to-scriptpython

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Description

🐍 Convert 06.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:


projects/06.py

✅ 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 06.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! 🎉

Contributor guide

Research direction
Open the 06.ipynb notebook in the projects folder, understand the R code, and translate each cell into equivalent Python code using pandas and matplotlib/seaborn. Save as projects/06.py.
Tech stack
pythonpandas
Domain
data
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonGit
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
80