Imputation for missing data

Missing data is a common occurrence when performing Exploratory Data Analysis on a new dataset. Rather than deleting missing records, sometimes it's more useful to use an imputation technique to fill in values with an estimate of what they would be. This is especially true when the number of missing values is small.

In this exercise, you'll use median imputation to update some records with missing data.

If you have lost any progress, close any open reports and load 1_3_imputation.pbix from the Workbooks folder on the Desktop.