Data quality reference deck
Recall and apply common data quality dimensions in Python automation validation.
Core checks CVTUA What five data quality checks cover many automation inputs? Compare Completeness or validity? A field can be complete and still invalid. Objection The file loaded into pandas, so the data is fine. Use when a teammate confuses parse success with business validity. Your line Parsing only proves the file shape was readable. We still need to check whether the values are complete, valid, unique, and fresh enough for this output. A dataframe can hold wrong, stale, duplicated, or unauthorized data perfectly. It separates technical readability from fitness for purpose. Recall When does timeliness matter most? When the…
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