A column labelled total may be perfectly clear to its creator and almost meaningless to someone else. Total of what, over which period, and for which group?
Add the missing dimensions
For a hypothetical field study, “Observations recorded, site A, May” gives more direction than “Total.” Add the unit or counting rule where needed. If the value counts visits rather than unique organisms, say so.
Keep headings readable. Details that would make a heading unwieldy can go in a nearby note, provided the connection is obvious.
Check a number without its surrounding paragraph
Imagine the table being copied into a slide or printed on its own. Would a reader still know what the rows and columns represent? A title and a short source note can preserve essential context.
Do not add precision that the data does not support. A label should clarify the measurement, not make an uncertain quantity appear exact.
Use consistent terms
If participants and responses are different counts, avoid switching between the words as if they were synonyms. Define abbreviations when they first appear.
Pair the table with clear count and rate definitions. Good labels reduce the amount of interpretation a reader must invent before they can begin asking useful questions about the data.