JMP 14.0 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 13 Online Documentation
JMP 12 Online Documentation
Predictive and Specialized Modeling
• Modeling Utilities
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Modeling Utilities
Exploring Data for Outliers, Missing Values, and Strong Predictors
Modeling Utilities is a collection of utilities that are designed to assist in the data cleaning and pre-processing stages of data analysis. Each utility has exploratory tools to give you a more thorough understanding of your data. With Modeling Utilities, you can do the following:
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Explore outliers in both the univariate and multivariate cases.
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Explore and impute missing values in your data.
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Create a validation column that divides the data into training, validation, and test sets.
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Screen high-dimensional data for strong predictors.
Figure 2.1
Multivariate k-Nearest Neighbor Outlier Example
Contents
Explore Outliers Utility
Example of the Explore Outliers Utility
Launch the Explore Outliers Utility
Explore Outliers Utility Options
Additional Examples of the Explore Outliers Utility
Explore Missing Values Utility
Example of the Explore Missing Values Utility
The Missing Value Report
Explore Missing Values Utility Options
Make Validation Column Utility
Example of the Make Validation Column Utility
Launch the Make Validation Column Utility
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Help created on 7/12/2018