Data Completeness Calculator
Completeness per column against a threshold, with empty, whitespace and N/A counted apart.
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How to use this tool
- Paste the CSV, or upload the file.
- Set the target completeness your team actually requires — 95% is a starting point, not a standard.
- Add any placeholder your systems use for missing data to the null token list.
- Select Measure completeness, and read the last column: anything marked below target is a decision you owe someone.
What completeness calculator does
Completeness is the first quality dimension anyone measures and the easiest to measure wrongly, because a cell can be empty in more than one way. A blank, a cell holding two spaces and a cell holding the word N/A are all missing to a human and all different to a computer, and a count that treats only the blank as missing overstates the figure every time.
This counts the three kinds separately and reports each column against a target you name up front. Naming the target first is the difference between a report and a decision: a percentage on its own invites you to decide afterwards whether 91% was acceptable, which is how a column that was never going to work reaches production.