Types of Missing Data | Imputation Strategies Overview | How Do I Fix Missing Data?
This tutorial covers the types of missing data: Missing Completely at Random (MCAR), Missing at Random (MAR), Missing Not at Random (MNAR), and Structurally Missing (SM). It gives examples of each type of missing data. Later in the video we cover listwise deletion and different imputation strategies including fixed value imputation, mean/median/mode imputation, hot-deck imputation, cold-deck imputation, Forward fill/Backward fill and more.
Chapters
00:19 Missing Completely At Random (MCAR)
01:11 Missing At Random (MAR)
2:00 Missing Not At Random (MNAR)
2:57 Structurally Missing (SM)
3:37 Listwise Deletion
4:37 Imputation Strategies (Fixed Value)
5:01 Imputation Strategies (Mean/Median/Mode)
5:35 Imputation Strategies (Forward Fill / Backwards Fill)
6:11 Imputation Strategies (Hot-deck imputation)
6:52 Imputation Strategies (Cold-deck imputation)
7:11 Imputation Strategies (Model)
7:40 Questions to ask