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Cheat Sheet for Data Analysts

A collection of handy cheat sheets and code snippets for quick data analysis. Covers cleaning, visualization, stats, Python, and SQL.

Demo

Live Demo

image

⚠️ The demo loads folders and cheat sheets from this repo. GitHub limits 60 file requests per hour per IP.
Exceeding this may cause loading issues.

How to Contribute?

  1. Fork the repository
    Click the "Fork" button at the top-right corner of the repository page to create your own copy.

  2. Clone your fork

    git clone https://github.com/your-username/repository-name.git
  3. Create a new branch

    git checkout -b feature/your-feature
  4. Make your changes
    Fix or add a new cheat sheet

  5. Commit your changes

    git commit -m "Add some feature"
  6. Push to your branch

    git push origin feature/your-feature
  7. Open a Pull Request
    Go to your fork on GitHub, click the "Compare & pull request" button, and describe your contribution.

Disclaimer

This repository contains cheat sheets collected from various sources.
I do not claim ownership of these materials.

If you are the rightful owner of any content here and believe it should be removed,
please contact me and I will promptly take it down.

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πŸ“„ A collection of cheat sheets for data analysts

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