It is better to have data with too coarse a granularity than too fine.

Question

Quizplus · Accepted Answer

Too coarse a granularity means that the data points are too broad and generalized, which can lead to important details being missed. Too fine a granularity means that the data points are too specific and detailed, which can lead to excessive noise and a lack of overarching trends or patterns. It is generally better to strike a balance between the two and choose a granularity that captures the essential information without overwhelming it with irrelevant data.

It Is Better to Have Data with Too Coarse a Granularity