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How do I show and handle missing values when building models?

Some JMP platforms let you create a predictive model despite the presence of missing values. However, many analyses cannot be completed if missing values are in the data. Jerry Cooper shows how to use the Missing Values Utility to identify missing values in your continuous data and conduct imputation for missing values.  Highlight column(s) then select Cols>Modeling Utilities>Explore Missing Values.  You have three choices for viewing missing variables.  In addition, you have two options for imputing missing values: Multivariate Normal Imputation and Muntivariate SVD Imputation. See also Explore Missing Values Utility.

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