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We welcome any input, feedback, bug reports, and contributions to the AutoEDA package. This project aims to be a lightweight Python package designed to automate the most common and time consuming steps of Exploratory Data Analysis (EDA).
Your contributions can help us:
- Improve functions performance and usability
- Incorporate additional features
- Refine visualizations
- Expand documentation
All contributions, suggestions, and feedback you submit are accepted under the Project's license. You represent that if you do not own copyright in the code that you have the authority to submit it under the Project's license. All feedback, suggestions, or contributions are not confidential.
You can contribute in many ways, for example:
Report bugs here -> issues.
If you are reporting a bug, please follow the template guidelines. The more detailed your report, the easier and thus faster we can help you.
Look through the GitHub issues for bugs. Anything labelled with bug
and help wanted is open to whoever wants to implement it. When you
decide to work on such an issue, please assign yourself to it and add a
comment that you'll be working on that, too. If you see another issue
without the help wanted label, just post a comment, the maintainers
are usually happy for any support that they can get.
Look through the GitHub issues for features. Anything labelled with
enhancement and help wanted is open to whoever wants to implement
it. As for fixing bugs, please assign yourself to the issue
and add a comment that you'll be working on that, too. If another
enhancement catches your fancy, but it doesn't have the help wanted
label, just post a comment, the maintainers are usually happy for any
support that they can get.
AutoEDA could always use more documentation, whether as part of the official documentation, in docstrings, or even on the web in blog posts, articles, and such. Just open an issue to let us know what you will be working on so that we can provide you with guidance.
The best way to send feedback is to file an issue at this link AutoEDA issues. If your feedback fits the format of one of the issue templates, please use that. Remember that this is a volunteer-driven project and everybody has limited time.
Ready to contribute? Here's how to set up AutoEDA for local development.
-
Fork the https://github.com/UBC-MDS/autoeda repository on GitHub.
-
Clone your fork locally (if you want to work locally)
git clone git@github.com:your_name_here/autoeda.git
-
Create a branch for local development using the default branch (typically
main) as a starting point. Usefixorfeatas a prefix for your branch name.git checkout main git checkout -b fix-name-of-your-bugfix
Now you can make your changes locally.
-
When you're done making changes, apply the quality assurance tools and check that your changes pass our test suite. This is all included with tox
hatch run test:run
-
Commit your changes and push your branch to GitHub. Please use semantic commit messages.
git add . git commit -m "fix: summarize your changes" git push -u origin fix-name-of-your-bugfix
-
Open the link displayed in the message when pushing your new branch in order to submit a pull request.
Before submitting your changes, ensure that:
- Your code runs without errors: Test all modified modules and functions
- Dependencies are documented: Update
requirements.txtif you add new packages (TBC)
Provide a clear title and detailed description of your changes: - What problem does it solve? - What are the key results or improvements? - Are there any limitations or concerns?
Your PR will be reviewed, and you may receive feedback or requests for changes.
We are committed to providing a welcoming and inclusive environment for all contributors. We expect all participants to:
- Be respectful and considerate in communications
- Welcome newcomers and help them get started
- Accept constructive criticism gracefully
If you have questions or want to discuss ideas before contributing:
- Open an issue with the
questionordiscussionlabel - Reach out to the maintainers
- Share your ideas and get feedback before investing significant time
Thank you for your interest in contributing to AutoEDA. Every suggestion, bug report, or enhancement no matter how small helps improve the quality, usability, and reliability of this package.
By contributing, you are helping make exploratory data analysis more accessible, nicer, and less time consuming for data scientists and analysts. Together, we can build better tools that support clearer insights and stronger data driven decisions.
We truly appreciate your time and effort in supporting this project.
This document was inspired by the Altair CONTRIBUTING.md and adapted for the autoeda project