GGR272H1 Lecture Notes - Lecture 6: Foreign Key, Standard Deviation, Unique Key
7 Sep 2016
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Using ecosystems as an example (lowest to highest) Nominal data: only quality or name, uses colours to show things from each other. Ordinal data: ranking system, shows a sequence or ranking. E. g. hours of sunshine, low amounts, medium amounts. Interval data: shows meaningful differences values (numbers), arbitrary 0. Ratio data: meaning differences values (numbers), natural 0 (nothing less than 0) Interval: meaningful difference, arbitrary zero (real numbers) Ratio: meaningful difference, natural zero (real numbers) Can be seen as qualitative & quantitative visual variables. Dominate wavelength; what we think of as. Different hues for different categories of data. Brightness: how light or dark a colour is with same hue. Darker value, more important or greater magnitude. Each number is grouped into a class. Are meant usually for derived values: ratios involving area eg. Population density per ct: ratios independent of area eg. Different classification methods can be used to group data. There are many different types of data classifications.
