Imputation is a statistical technique that fills in missing or incomplete data by estimating values from existing information, but its controversial nature arises from the introduction of artificial data, potentially impacting analysis outcomes as newly completed data is assigned more weight. In this chapter we will cover types of missing data and different ways of dealing with them.