Dealing with missing data

There are many ways to deal with missing records. The simplest one is to delete them. This is especially true when we have a relative large dataset. One potential issue is that our final dataset should not be changed in any fundamental way after we delete the missing data. In other words, if the missing records happened in a random way, then simply deleting them would not generate a biased result.