Which data is removed with the RemoveZeros function?

• A. Only Zeros
• B. Only No Data
• C. Zeros and No Data
• D. All Data

Answer: (C)

RemoveZeros focuses on data cleanliness by eliminating values that don’t carry informative content: explicit zeros and No Data (missing values). Zeros can be placeholders or indicate no contribution in a metric, and No Data represents gaps in the dataset. By removing both, calculations like sums or averages are driven by actual, present measurements rather than placeholders. For example, if you have [8, 0, 12, No Data], applying RemoveZeros yields [8, 12]. It doesn’t remove non-zero values, and it won’t delete all data; it specifically targets zeros and missing entries.