What type of data is the height of a skyscraper?

Discrete

Categorical

Nominal

Continuous

Height is a numeric measurement that can take any real value along a continuum. You can measure it to increasing precision—320 meters, 320.1 meters, 320.01 meters, and so on—so the data fill the space between numbers rather than jumping in fixed steps. That continuity makes it continuous data. Discrete data are counts or integers, like the number of floors, which can’t take on every fractional value. Categorical data classify into groups without a natural order, such as building type or color, which isn’t a measured quantity. Since height is a measured quantity with a continuum of possible values, it is continuous data.

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