What method is typically used to handle missing categorical data by filling missing values?

'Mode Imputation' is a method that is typically used to handle missing categorical data. It fills missing values with the mode (most common value) of the available data. While it's a simple and fast method, it could introduce bias if the data is not missing completely at random.