A blank cell may mean a question was not answered, a measurement was unavailable, or the field did not apply. Treating all of those cases as zero can change the meaning of a calculation.

Decide how missing values are represented and explain the choice. Check whether a summary excludes them or replaces them with another value. The reason information is missing can matter as much as the amount missing.

Look at a few absent values in their original context before choosing a rule. Preserve distinctions that affect the question, and avoid filling gaps merely to make the table look complete. Honest incompleteness can be more informative than a tidy but misleading number.

A few starting points
  1. Ask why the value is absent.
  2. Document how calculations handle missing values.
  3. Avoid silently replacing every blank with zero.

Try the idea in context.

Consider a temperature record with a gap during an unavailable reading. Substituting zero would describe a physical observation that never happened.

A thought for the next read.

Treat an unexpected value as the start of an investigation. Its source and context matter before you decide whether to remove it or build a story around it.

Follow a related question

Read the task and scoring method.

A benchmark measures a defined task

Explain the purpose of important choices.

Trust is visible in the details

Keep learning

Related background to continue exploring this subject.

NIST: statistical engineering NIST: the International System of Units
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