Missing to Categorical

Often it is useful to be able to identify missing values in a dataset. iNZight includes capabilities to make these explicit. The behaviour of this tool depends on the type of variable.

Go to Variables > Missing to categorical. Select one or more variables, then click Submit to create the new columns.

Categorical variables

Any missing observations for the variable will be given a new level, missing. All other values remain the same.

Numeric variables

A new categorical variable is created with two levels: missing and observed. This is useful for investigating patterns of missingness — for example, you can use the new variable as a subsetting or colouring variable to see whether missing values are associated with other variables in the dataset.