
Maintenance
Part of Statistics Verification Guide: A Reading Framework
Chart verification checklist: the reviewer's sign-off
A chart verification checklist for the person who signs off: what the reviewer receives, reproduces and checks before a chart, caption and headline go out.
What to take away
- A reviewer cannot sign off a picture, so the hand-off is the source file, the formulas, the chart data and the final version.
- The reviewer reproduces the central number and redraws the chart before publication.
- Data that suits one claim can be inadequate for another, so the sign-off records which claim it covers.
- Suppressed and unavailable values are not zeros, and breaks in series are not connected silently.
- Headline, caption and alt text are signed off last, against the data.
A chart reaches readers faster than the table behind it, so it needs its own sign-off once the numbers are settled. These checks cover tables, maps, dashboards and polls and charts. Record the reviewer, date, result and evidence path, and mark a source insufficient when the question exceeds the data.
What the reviewer receives
Four files go to the reviewer: the source file, the formulas, the chart data and the final version. Without all four, the reviewer can only judge how the chart looks, which is the weakest check there is.
A chart can look tidy and still rest on the wrong file, the wrong table or a stale release. Keep all four with the published version. When a later correction is needed, they show which number changed and which distributed copies carry it.
- Source file saved as retrieved, not retyped
- Formulas or code that turn it into the chart data kept
- Chart data kept apart from the graphic
- Final version, including captions, kept as published
A figure copied by hand from a PDF can carry a slip into the chart without anyone noticing. Saving the file as retrieved lets the reviewer compare like with like, and it shows when the producer later revised a value. The reviewer also checks whether each figure is a count, a rate or proportion.
Is the data fit for this claim?
Fitness comes before design. A dataset can be reliable enough for one narrow claim and inadequate for another, so the reviewer states the claim first. The sign-off records that judgment instead of applying a universal quality label.
The U.S. Government Accountability Office's data reliability guide frames reliability around accuracy, completeness, and applicability for the intended purpose, using a risk-based assessment. Say in one line what the chart is meant to show, and for which place and period, because every later check is measured against that line.
Fitness for purpose checks
- Define reporting question and required unit
- Match population, coverage, geography, period to claim
- Understand record-creation process and institutional purpose
- Assess accuracy, completeness, timeliness, applicability
- Handle duplicates, missing, suppressed, invalid records
- Consider policy or system changes altering recording
- Use corroborating records or spot checks where risk warrants
The checks below apply to that line and to nothing wider.
- Reporting question and required unit defined
- Data population, coverage, geography and period match the claim
- Record-creation process and institutional purpose understood
- Duplicate, missing, suppressed and invalid records handled explicitly
- Corroborating records or spot checks used where risk warrants
What the reviewer reproduces
The reviewer works from the source file, not from the finished graphic. That is the only way to catch a transcription slip or a formula that quietly drops a category.
- Recompute the central number from the source file with the saved formulas.
- Rebuild the chart from the chart data and compare it with the published version.
- Confirm that the unit, count or proportion, and denominator match what the title says.
- Note anything that could not be reproduced and who must answer for it.
Where the reviewer and the author disagree, the source file settles it. Record the disagreement and its resolution beside the evidence path, so the next person who opens the file sees why the chart reads as it does and what was changed.
Gaps and uncertainty on the graphic
Missing data is part of the picture, so draw it as missing. Suppressed and unavailable values are not zeros, and breaks in series are displayed rather than connected silently. Small subgroup estimates are flagged or omitted under the source's rules.
Uncertainty belongs on the graphic, not only in a footnote. Ranges, model and forecast bands and sample caveats should sit where the reader looks first, because a point estimate drawn alone invites a stronger reading than the data allow.
- Confidence or uncertainty ranges shown when they affect interpretation
- Model and forecast ranges labeled apart from observed values
- Data labels do not imply false precision
How to read the same gaps in a source table is covered in the statistics verification guide.
One check on the axis
Bar and area charts start at zero. The UK Office for National Statistics axes and gridlines guidance calls for zero baselines on bar and area charts, consistent scales across comparable charts, and clear treatment of nonzero or nonlinear axes.
A line chart can sometimes start above zero, if the axis break is clear and the range does not exaggerate the claim. The reviewer marks any exception and says why it stands. The reason belongs in the file and, where space allows, on the chart.
Headline, caption and alt text last
Headline, deck, chart, caption, alt text and social copy should agree. Test any highest, lowest, majority, average, typical, risk or record claim against the data, and use estimate language when point values are uncertain. Examples of these failures are collected in common chart reporting problems.
Read the finished page as a reader would, with the chart, the headline and the caption together. If the caption says more than the chart supports, change the caption. Do not widen the claim to fit the graphic.
- Method and material limits placed near the result
- Sponsor and conflicts disclosed where relevant
- Reviewer's name, date and result recorded with the evidence path
- Correction plan includes data files and distributed graphics







