Research Workbench

Declared missing-token audit

Count explicitly declared missing-value tokens without confusing zero with missingness.

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Matching is case-sensitive after trimming outer spaces. Use literal tokens separated by |; blank records are unsupported in this compact format. Zero is only missing if explicitly declared.

The starting values are hypothetical. Results update as you edit. Use aggregate or synthetic inputs only.

Calculation results

Values audited
6
Mapped missing count
4
Mapped missing fraction
0.66666667
Per-token counts
NA: 2 | N/A: 1 | unknown: 1
Zero values treated as missing
No

How to interpret the output

A token dictionary makes import decisions auditable. Counts show which strings would become missing under the stated mapping, without modifying source data or imputing values. Context-specific values such as “unknown”, “not applicable” and “not measured” may need separate codes rather than one merged missing category.

Method reference

Source checked 2026-11-06. Read the reproducible calculator validation report.