It is usually better to have data granularity that is ________ rather than too coarse.
A) dirty data
B) missing values
C) inconsistent
D) more recent
E) too fine

Question

Quizplus · Accepted Answer

When data granularity is too fine, it can lead to information overload and difficulties in analysis. Too coarse granularity can result in the loss of important details and lead to inaccurate conclusions. Therefore, it is better to have data granularity that is more detailed rather than too coarse.

It Is Usually Better to Have Data Granularity That Is