Charts with Their Missing Data

What you will work through

• Define row meaning, units and completeness before choosing a chart.
• Distinguish missing observations from measured zero and calculate weighted means correctly.
• Deliver a chart with a value table, exclusions and bounded interpretation.

Contents

1. 01Start with an answerable reporting question
2. 02Know the grain and preserve the original rows
3. 03Resolve labels with evidence rather than guesswork
4. 04Distinguish unknown, partial and measured zero
5. 05Calculate a weighted average with the right denominator
6. 06Choose a display that preserves the comparison
7. 07Give readers the values and the missing context
8. 08Keep interpretation smaller than the evidence
9. 09Capstone: reconcile the Harbor Desk report
10. 10Maintain the report as a reproducible decision aid

Scope and limitations

• All support records are fictional; no real team performance or customer activity is measured.
• The example is not a staffing forecast, service-level assessment or causal experiment.
• The editable SVG and HTML examples are learning materials, not a complete accessibility audit or real service report.
• Tool results depend on supplied data and mapping; no missing values are invented.