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hello welcome back to the geography 300 wbu video series this lecture this video is looking at four different types of attributes for our data and the the basis for this has gone back several decades in the field of statistics and itamp;#39;s a pretty commonly used framework for trying to understand the structure of our attributes and to use that to guide decisions of what we can and cannot do with our data in terms of the kinds of statistics we use for the conclusions we may docHub this framework is called noir and oir as an acronym and you can see here the four different types of attributes or variables that make up that acronym nominal ordinal interval and ratio weamp;#39;ll take each of these in turn first one the way the simplest one and the one that we can do the least with is nominal they are an attribute that is a name or a category so as an example something like the land cover type or the name of a county or a um some kind of say political classification did the county vote