Interpreting Descriptive Outputs

Interpretation is a professional responsibility. R can calculate a percentage, but it cannot know whether the percentage is operationally concerning, clinically meaningful, or expected. Data managers should interpret descriptive outputs by asking what the table represents, what denominator was used, what data were missing, what timing applies, and whether the result matches expectations.