Mode imputation involves identifying the most frequently occurring value in a dataset for a particular variable and then replacing any missing values with this mode. For example, if a dataset of patient demographics has missing entries for the "Gender" variable, and the most common gender in the dataset is "Female," then all missing values would be replaced with "Female."
