Data Anomaly Detector
SExcellent⚡ Productivity · by datadrivenconstruction
Detect unusual patterns, outliers, and anomalies in construction data. Identify cost overruns, schedule delays, productivity issues, and data quality problems before they impact projects.
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Score: 95/100Reviews (8)
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Details
- Author
- @datadrivenconstruction
- Source
- GitHub
- ClawHub
- View
- Category
- ⚡ Productivity
- Rating
- ★ 4.6 (8)
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