A municipal GIS team runs frequency counts and null rates on a new parcel extract before trusting it for mapping. What is the primary purpose of this statistical profiling?
Select an answer to reveal the explanation.
Short Explanation
Profiling is the flashlight, not the repair kit—you shine it around to see what is weird before you rewrite rules. Frequency counts and null rates reveal shape and gaps. Discovery first; cleanup and rules come after.
Full Explanation
Statistical profiling examines distributions, null rates, ranges, and frequencies to discover the state of the data. It informs risk assessment and rule design but does not by itself remediate defects. Treating profiling as discovery keeps teams from confusing measurement with correction.