This category has the following 39 subcategories, out of 39 total. âº Bodies of water of Canadaâ (18 C, 4 P) âº Wetlands of Canadaâ (6 C, 8 P) âº Landforms of Canada by census divisionâ (8 C) âº Landforms of Canada by cityâ (12 C)
Granularity is the level of depth represented by the data in a fact or dimension table in a data warehouse. High granularity means a minute, sometimes atomic grade of detail, often at the level of the transaction. Low granularity zooms out into a summary view of data and transactions. https://en.wikipedia.org/wiki/Granularity#Data_granularity http://www.information-management.com/news/5460-1.html.
Nominal Level of Measurement. The nominal level of measurement is the lowest of the four ways to characterize data. Nominal means in name only and that should help to remember what this level is all about. Nominal data deals with names, categories, or labels. Data at the nominal level is qualitative.