Data Quality Scanner

Drop your operational CSV to profile missing values, duplicate entries, type mismatches, and statistical outliers. All parsing occurs strictly inside your local browser memory; no rows or columns are ever transmitted to any external server.

Select or Paste CSV Data

Comma-delimited format with header row

Choose Local CSV

Raw CSV text (or paste directly):Empty

Editable Inspection Parameters

Outlier Sensitivity (Z-Score Threshold):3 σStandard threshold: 3.0σ (identifies values exceeding 99.7% of normal distribution).

Missing Value Identifiers:

Empty string, "null", "NULL", "N/A", "n/a", "NaN"

Deterministic Inspection Logic:

1. Duplicate Row Check: SHA-equivalent exact set membership over trimmed raw lines.

2. Outlier Formula: Z = |x - μ| / σ, flagged if Z > 3. Output labelled as statistical estimate.

3. Type Inversion: Flagged when non-numeric strings populate > 60% numeric column.