Which of the following statements is TRUE of data with granularity?
A) It can be too fine or too coarse and also have wrong granularity.
B) If granularity is too coarse, data can be made finer by summing and combining.
C) It is not possible to have a wrong granularity for a data.
D) If granularity is too coarse, data can be separated into constituent parts using regression.

Question

Quizplus · Accepted Answer

Data with granularity can be too fine or too coarse, and it is also possible for the granularity to be wrong. If the granularity is too fine, it can lead to too much data that is difficult to analyze, while if it is too coarse, important details may be missed. Finding the appropriate level of granularity for a specific analysis is important for accurate and effective data interpretation.

Which of the Following Statements Is TRUE of Data with Granularity