How is missing data handled in statistics?
There are many ways to handle missing data in Statistics :
* Prediction of the missing values
* Assignment of individual (unique) values
* Deletion of rows, which have the missing data
* Mean imputation or median imputation
* Using random forests, which support the missing values
