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portaljs-check-data-quality

separate

Audit a local or remote tabular file (CSV/TSV) for common data quality issues — schema, nulls, types, duplicates. Read-only. Use when a dataset needs a quality check before publishing, or a showcase renders wrong (blank cells, garbled numbers, an unsortable date column) and the cause needs isolating.

When to use

• Audit local or remote CSV/TSV files
• Check for nulls and blanks
• Infer value types
• Detect duplicate rows
• Identify mixed-type columns
• Diagnose showcase rendering errors
• Pre-publish data quality check

When not to use

• Editing the source file
• Modifying datasets.json
• Modifying other project files
• Processing non-CSV/TSV files

Skill page

Source