Example Concept: Imputation is a common method for handling missing data, where missing values are replaced with substituted values. Techniques include mean, median, or mode imputation for numerical data, and the most frequent category for categorical data. Advanced methods involve using predictive models to estimate missing values based on other available data points. Alternatively, listwise deletion can be used if the missing data is minimal and randomly distributed, ensuring that analysis is not biased.