Howtosignalprocessing
What is Data Granularity? Data granularity is a measure of the level of detail in a data structure. In time-series data, for example, the granularity of measurement might be based on intervals of years, months, weeks, days, or hours.
- What is granularity with example?
- What is high granularity data?
- How do you determine granularity of data?
- How do you explain granularity?
What is granularity with example?
Granularity is the relative size, scale, level of detail or depth of penetration that characterizes an object or activity. It is the "extent to which a larger entity is subdivided. For example, a yard broken into inches has finer granularity than a yard broken into feet."
What is high granularity data?
High granularity level refers to a high level of detail, vice-versa low granularity level refers to a low level of detail. Practically speaking, the more subdividable and specific a data is, the more granular it is considered to be. Thus, “granularity” and “level of detail” of data are the same thing.
How do you determine granularity of data?
If more detail is included, the level of granularity is lower. If less detail is included, the level of granularity is higher. Identifying the level of detail. The level of detail that is available in a star schema is known as the grain .
How do you explain granularity?
Granularity (also called graininess), the condition of existing in granules or grains, refers to the extent to which a material or system is composed of distinguishable pieces.
