PortalJS — Check Data Quality

Overview

Run a read-only quality audit of one CSV or TSV file, local or remote, and return a structured JSON report. The audit profiles every column — null/blank counts, inferred value types, numeric ranges, likely year/date fields — and flags duplicate rows, duplicate values in identifier-like columns, ambiguous overlapping year columns (e.g. calendar year vs fiscal year), and mixed-type columns. It never edits the source file, datasets.json, or any other project file; it only reads the target file (a remote URL is downloaded to a temp file that is deleted before the run ends) and prints a report. Use it before publishing a dataset with portaljs-add-dataset, or to diagnose why a showcase renders wrong.

Prerequisites