Data Preprocessing Questions
Data imputation using hot deck is a method of filling in missing values in a dataset by using similar or related observations from the same dataset. In this technique, missing values are replaced with values from other similar records, known as donors, based on certain matching criteria such as similarity in attributes or characteristics. The donor record is selected randomly from the pool of similar records, hence the term "hot deck". This approach helps to retain the overall structure and patterns of the data while addressing missing values.