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docs: add data‑science analysis notebook for clustering & anomaly detection #1938

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6 changes: 6 additions & 0 deletions README.md
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## 📊 Data‑Science Extras

A Jupyter notebook demonstrating how to load SpiderFoot JSON output, perform K‑Means clustering and Isolation Forest anomaly detection, and visualize results.

- [extras/notebooks/data_analysis.ipynb](extras/notebooks/data_analysis.ipynb)

<a href="https://www.spiderfoot.net/r.php?u=aHR0cHM6Ly93d3cuc3BpZGVyZm9vdC5uZXQv&s=os_gh"><img src="https://www.spiderfoot.net/wp-content/themes/spiderfoot/img/spiderfoot-wide.png"></a>


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5 changes: 5 additions & 0 deletions data/sample_scan.json
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[
{ "entity": "127.0.0.1", "risk": 45, "confidence": 80, "nb_records": 5 },
{ "entity": "192.168.1.1", "risk": 10, "confidence": 60, "nb_records": 2 },
{ "entity": "10.0.0.5", "risk": 90, "confidence": 95, "nb_records": 12 }
]
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