data-anomaly-detector

What problem does it solve?

Detects anomalies and outliers in construction data across costs, schedules, and productivity to prevent costly misallocations and delays.

Core Features & Use Cases

• Cost anomaly detection: identify unusual costs and potential data entry errors using statistical methods.
• Schedule and productivity monitoring: detect delays, duration anomalies, and productivity spikes to keep projects on track.
• Time-series and data-quality checks: flag irregular patterns over time and potential data quality issues for audit trails.

Quick Start

Load your project data as a DataFrame and run the detector with a configuration dictionary to generate an anomaly report.