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Mini Data Project

Due date: Friday, May 8 @ 11:59 PM Mountain Time

Repo purpose

This repository provides a starting structure for the Mini Data Project in UM BGEN 632. Full assignment instructions and grading requirements are available on the Canvas assignment page.

  • notebook/
    • Store your completed Jupyter notebook here.
    • Name your notebook mini_data_project.ipynb.
  • data/
    • Store the dataset(s) used in your analysis here.
    • Your data must be in this folder for your submission to be evaluated.
  • .gitignore
    • Specifies files for Jupyter Notebooks, Python, macOS, and Windows.
    • ALWAYS use .gitignore. It specifies files intentionally ignored by Git.
  • README.md
    • Describes the repo and provides instructions on how to use it.
    • The document you are currently reading, the repo's "front page."

Getting started

To begin working on this project, you should:

  1. Clone this repo (i.e., create a local copy of the repo on your machine).
  2. Activate your BGEN 632 Python environment.
  3. Launch JupyterLab.
  4. Use the file browser to navigate to your local copy of the repo.
  5. Create your notebook in the notebook/ folder and name it mini_data_project.ipynb.

Submitting your work

When you are ready to submit:

  1. Confirm your notebook is fully executed (all outputs visible) and saved.
  2. Confirm your dataset(s) are in the data/ folder.
  3. Pair your notebook with a light script and confirm mini_data_project.py is present in the notebook/ folder.
  4. Commit and push all changes to this repository.
  5. Confirm your changes are reflected in the remote repo before the deadline.

Technical support

If you have questions or notice any errors in this repo, consider opening a GitHub Issue in this repository and mention @olvnwtn.

Alternatively, you can reach out via email or Canvas mail.

About this repo

Creator and maintainer: Olivia B. Newton

Copyright notice

All materials in this repository are copyright © Olivia B. Newton unless otherwise stated. These files are provided for your personal, educational use in BGEN 632 and may not be shared, redistributed, or posted publicly.

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um-python-intro-mini-data-project-data-project created by GitHub Classroom

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