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☕📈\n\n👉 **Try it live:** [https://statquickie.streamlit.app](https://statquickie.streamlit.app)\n\n---\n\n## 🚀 What’s Inside?\n\n- 🗂 Upload CSV or Excel files\n- 🔍 Auto-detects numbers, categories, and dates\n- 🧠 Layman-friendly summaries (e.g., “tightly clustered” vs “widely spread”)\n- 📊 Visualize with Plotly + Matplotlib (histograms, KDE, ECDFs, etc.)\n- 🧪 Run t-tests, fit regression lines, get R² and MSE instantly\n- 🎛 Interactive UI with Streamlit — no code needed!\n\n---\n\n## 🛠 Installation\n\n### Option 1: One-Click macOS Installer\n\n```bash\nbash installer-macos-universal.sh\n```\n\nThis will:\n- Detect your Mac architecture (Intel or Apple Silicon)\n- Install Miniforge (if needed)\n- Create the `statquickie` environment\n- Add Desktop shortcut to launch the app【93†source】\n\n---\n\n### Option 2: One-Click Windows Installer\n\n```powershell\nRight-click → Run with PowerShell → installer-windows.ps1\n```\n\nThis will:\n- Detect Anaconda/Miniconda installation\n- Create or update `statquickie` conda environment using `__environment__.yml`\n- Create a launcher script and desktop shortcut\n- Generate an uninstaller for cleanup\n\n\u003e 💡 **Note:** Ensure Conda is installed before running.\n\n---\n\n### Option 3: Manual Setup\n\n```bash\ngit clone https://github.com/your-username/statquickie.git\ncd statquickie\npip install -r requirements.txt\nstreamlit run app.py\n```\n\n---\n\n## 🔧 Dependencies\n\nFrom `requirements.txt`:\n\n- `streamlit`, `pandas`, `numpy`, `matplotlib`, `plotly`, `openpyxl`, `xlrd`\n- `scikit-learn`, `scipy`, `lightgbm`【95†source】\n\n---\n\n## 🎯 Why Use StatQuickie?\n\nBecause not everyone has time to write Python scripts or decipher p-values.  \nStatQuickie lets you:\n- Get the story behind the numbers\n- Show off visual insights in seconds\n- Wow your colleagues (or your future self)\n\nWhether you're a data newbie or seasoned analyst, StatQuickie makes stats feel less... staticky.\n\n---\n\n## 🤝 Contribute\n\nPull requests welcome! Open an issue, suggest features, or drop by with a virtual high-five ✋  \nLet’s make stats less scary, together.\n\n---\n\n## 📄 License\n\nMIT License — do what you want, just don’t blame us if your boss loves it too much.\n\n---\n\n## 🙌 Acknowledgements\n\nThanks to [OpenAI's ChatGPT](https://chat.openai.com/) for helping brainstorm, draft, and polish this README — and making documentation (and stats) a lot more fun.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fteonghan%2Fstat_quickie","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fteonghan%2Fstat_quickie","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fteonghan%2Fstat_quickie/lists"}