Missing values can distort analysis and lead to biased results. Several methods can be employed to address this issue:
Imputation: Replacing missing values with estimated ones based on other available data. Deletion: Removing records with missing values, but this is only advisable if the amount of missing data is small. Using algorithms that can handle missing data.
