Data Quality Tools

Completeness, uniqueness, validity, outliers, PII patterns and quality scoring.

Completeness Calculator Completeness per column against a threshold, with empty, whitespace and N/A counted apart.
CSV Cleaner The safe, explainable half of cleaning: whitespace, invisible characters, null tokens, empty rows and columns.
Missing Value Analyzer Groups rows by which fields are missing, so a broken load shows up as one pattern instead of several sparse columns.
Null Analyzer Lists the actual strings each column uses to mean nothing, so you can write the replacement rule.
Outlier Detector Runs three outlier tests on every numeric column and reports which of them flagged each value.
Pattern Detector Works out what each column holds and lists the rows that do not match it.
PII Detector Finds columns holding personal data, by value and by column name, and masks every example it shows.
Quality Scorecard One score across six weighted dimensions, with what each one measured and what pulled it down.
Validity Rule Checker Checks each column against rules you write and lists every violation with its row number.
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