Developer Shares Step-by-Step Guide to Cleaning Messy HR Data Using PostgreSQL

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A data practitioner published a detailed walkthrough on DEV Community demonstrating how to clean a corrupted HR dataset using PostgreSQL. The raw dataset contained spelling errors, missing values, and inconsistent data formats that made it unsuitable for business reporting. The process began by creating a staging table to preserve the original data before any modifications were made. Cleaning steps included standardizing column names to snake_case, removing prefixes from employee IDs, and deleting records with null or empty identifiers. The project aimed to transform unstructured HR records into an analysis-ready dataset accessible even to beginners in the data field.

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