A map displaying the Great Lakes with names of each lake is an example of which kind of data?

A map displaying the Great Lakes with names of each lake exemplifies nominal data because it categorizes information without implying any order or hierarchy among the categories. Nominal data involves the use of labels or names to identify distinct groups or classes, which is exactly what the names of the lakes represent.

In this case, the names "Lake Superior," "Lake Michigan," "Lake Huron," "Lake Erie," and "Lake Ontario" serve solely as identifiers and do not convey any quantitative information or rank. None of the lakes hold a value that could be considered higher or lower than another in a numerical sense; they are simply different categories identified by unique names.

On the other hand, ordinal data would involve an order or ranking, such as classifying lakes by size or depth, which is not applicable here since naming does not provide such a hierarchy. Interval and ratio data include a measurable quantity and defined scale with meaningful intervals or zero point, which does not apply to a simple labeling of lakes. Thus, the representation of the Great Lakes falls squarely within the realm of nominal data.