Visual Interpretation Diagram
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Visual Interpretation Diagram

Nominal data is defined as data that is used for naming or labeling variables, without any quantitative value. It is sometimes called “named” data - a meaning coined from the word nominal.


(Example: Names, Country of Origin, etc).

Qualitative: Nominal

Ordinal data is a type of categorical data with an order. The variables in ordinal data are listed in an ordered manner. The ordinal variables are usually numbered, so as to indicate the order of the list.


(Example: health, which can take values such as poor, reasonable, good, or excellent.)

Qualitative: Ordinal

Discrete data involves whole numbers that can't be divided based on the nature of what they are.


Example: integers - like 1, 356, or 9)

Quantitative: Discrete

Continuous Data are numbers that may take on all sorts of decimal or fractional values.


(Example: 1.2342)

Quantitative: Continuous

Visual Interpretation

Dexter Oneal Lewis Jr

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publish time: 2021-05-03
Dexter Lewis

Here is a diagram about visual interpretation, from which there are mainly 4 points to illustrate the qualitative method for visual interpretation. As for this, the size, shape, and position of objects as well as the contrast and color saturation are analyzed. The height of objects can be determined by indirect visual analysis. Learn more details from this diagram, or try to make yours with ease.

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