Final answer:
The characteristic that describes the level of detail in data is called granularity. Granularity pertains to the depth of detail within a dataset, which allows for more specific analyses when it is higher.
Step-by-step explanation:
The characteristic that refers to the level of detail found in data is granularity. Granularity indicates how detailed a dataset is. The more granular the data, the deeper the level of detail which allows for more specific analyses. For example, if data is collected about temperatures on a daily basis, it would be considered more granular than data collected on a monthly basis. Conversely, if data is less granular, it is more summarized and gives a broader view, which could be sufficient depending on the study requirements.
Regarding the options provided: precision is about how close repeated measurements are to each other, not about the level of detail; consistency refers to how uniform or stable the data is over time; and comprehensiveness is about how complete or extensive data sets are.