📊 StatQuickie: Your Fast Lane to Data Insights!

Say hello to StatQuickie — the playful, no-nonsense stats explorer that helps you understand your data in record time.
Upload a file, sip your coffee, and boom — insight! ☕📈

👉 Try it live: https://statquickie.streamlit.app

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🚀 What’s Inside?

• 🗂 Upload CSV or Excel files
• 🔍 Auto-detects numbers, categories, and dates
• 🧠 Layman-friendly summaries (e.g., “tightly clustered” vs “widely spread”)
• 📊 Visualize with Plotly + Matplotlib (histograms, KDE, ECDFs, etc.)
• 🧪 Run t-tests, fit regression lines, get R² and MSE instantly
• 🎛 Interactive UI with Streamlit — no code needed!

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🛠 Installation

Option 1: One-Click macOS Installer

bash installer-macos-universal.sh

This will:

• Detect your Mac architecture (Intel or Apple Silicon)
• Install Miniforge (if needed)
• Create the statquickie environment
• Add Desktop shortcut to launch the app【93†source】

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Option 2: One-Click Windows Installer

Right-click → Run with PowerShell → installer-windows.ps1

This will:

• Detect Anaconda/Miniconda installation
• Create or update statquickie conda environment using __environment__.yml
• Create a launcher script and desktop shortcut
• Generate an uninstaller for cleanup

💡 Note: Ensure Conda is installed before running.

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Option 3: Manual Setup

git clone https://github.com/your-username/statquickie.git
cd statquickie
pip install -r requirements.txt
streamlit run app.py

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🔧 Dependencies

From requirements.txt:

• streamlit, pandas, numpy, matplotlib, plotly, openpyxl, xlrd
• scikit-learn, scipy, lightgbm【95†source】

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🎯 Why Use StatQuickie?

Because not everyone has time to write Python scripts or decipher p-values.
StatQuickie lets you:

• Get the story behind the numbers
• Show off visual insights in seconds
• Wow your colleagues (or your future self)

Whether you're a data newbie or seasoned analyst, StatQuickie makes stats feel less... staticky.

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🤝 Contribute

Pull requests welcome! Open an issue, suggest features, or drop by with a virtual high-five ✋
Let’s make stats less scary, together.

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📄 License

MIT License — do what you want, just don’t blame us if your boss loves it too much.

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🙌 Acknowledgements

Thanks to OpenAI's ChatGPT for helping brainstorm, draft, and polish this README — and making documentation (and stats) a lot more fun.