What are some examples of imputation methods in data analysis?

What are some examples of imputation methods in data analysis?

Imputation methods are techniques used to fill in missing data. Common examples include mean imputation, median imputation, and k-nearest neighbors.

Can you explain mean imputation?

Mean imputation replaces missing values with the mean of the available values in that feature. It's simple but can reduce variability.

What about k-nearest neighbors?

K-nearest neighbors (KNN) imputation uses the values from the nearest neighbors to estimate the missing value, considering the similarity of data points.

Are there any drawbacks to these methods?

Yes, mean imputation can underestimate variability, while KNN can be computationally intensive and sensitive to the choice of 'k'.