Data Quality Report

Analyse > Data quality report... opens a new tab that scores each column of the active table, so you can see at a glance where the data needs cleaning.

What it shows

One row per source column, with these metric columns (hover any header for a full explanation):

Column	Meaning
null_percentage	Percentage of missing (null) values.
distinct_ratio	Distinct values divided by non-null values (1.0 = all unique).
outlier_count	Number of numeric outliers (IQR method, as in Detect outliers).
pii_flag / pii_kind	Whether the column looks like personal data, and what kind (reuses Detect PII).
type_consistency	Share of values that match the column's declared type.
score	Overall 0-100 quality score for the column.

The score combines completeness, uniqueness and type consistency, with a small penalty for outliers. The overall table score (the average of the column scores) appears in the status bar when the report opens.

The report is an ordinary table tab: sort it, filter it, or save it like any other file. Re-run the report after cleaning to watch the score improve.