Example Concept: Imputation is a widely used technique for handling missing data, where missing values are replaced with substituted values. Common imputation methods include mean, median, or mode imputation for numerical data, and using the most frequent category for categorical data. More advanced techniques involve predictive modeling, such as using k-nearest neighbors (KNN) or regression models to estimate missing values based on other available data.