An important measure of location for categorical data is the mode.
While the mean and median can only be determined for numeric data, the mode can be used to describe categorical variables. The mode's principal benefit as a gauge of central tendency is this. When continuous or discrete variables are expressed as intervals, it is also helpful.
The mode represents the value that occurs most often in a dataset.
A dataset can have no mode (if no value repeats), one mode, or multiple modes.
A set of data values' mode is the value that appears the most frequently. The value x (i.e., X = x) at which the probability mass function takes its maximum value is known as the mode if X is a discrete random variable. In other words, it is the value that will be sampled most frequently.
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