# Read the data into a Pandas DataFrame (better than raw XLS) df = pyhecdss.read_dss(dssfile, pathname_pattern)

Text, dates, and numbers retain their exact properties without manual intervention.

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Inside: 47 perfectly clean CSV files, each named by date range. But the last file, ids_final_master.xlsx , was different. It contained not only the shipment IDs but also a new column: PREDICTED_DUPLICATE_PROBABILITY . And at the very bottom, row 12,834, highlighted in red: an ID that didn't belong to any shipment. It was a backdoor hash.

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