Example Concept: Imputation is a common technique where missing values are filled in using statistical methods. Mean, median, or mode imputation replaces missing values with the average, median, or most frequent value of the column, respectively. More advanced methods include using predictive models such as k-Nearest Neighbors (k-NN) or regression-based imputation to estimate missing values based on other observations. Deletion strategies, such as listwise or pairwise deletion, remove rows or columns with missing data, but these should be used cautiously to avoid loss of valuable information.