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- Categorical data are variables that contain label values rather than numeric values.
The number of possible values is often limited to a fixed set.
Continuous (the opposite of discrete): real-number values, measured on a continuous scale: height, weight.
In order to compute a regression, categorical predictors must be re-expressed as numeric: some form of indicator variables (0/1) with a separate indicator for each level of the factor.
Discrete with many values are often treated as continuous, i.e. zone numbers - > binary