Example Concept: Imputation is a common strategy 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 like K-nearest neighbors (KNN) imputation or using predictive models can also be employed. Deletion methods, such as listwise or pairwise deletion, are used when the proportion of missing data is small. Additionally, some algorithms like decision trees can inherently handle missing values without imputation.