Multi-Station NumPy Dataset for Descriptive Statistics and Anomaly Detection (chunk 2 of 2)

This dataset consists of raw station data stored as large NumPy (.npy) files for multiple measurement stations. Each array contains floating-point observations (float32) with values ranging approximately from -25 to 22. The provided Python code (main.py, stats.py, utils.py, report.py) demonstrates how to compute descriptive statistics and detect anomalies for each station, and generate summary outputs (JSON and CSV) as well as a human-readable report.