JMP Essentials, 3rd Edition

Chapter 6: Problem-Solving with Multiple Columns

6.1 Introduction

6.2 Comparing Multiple Columns

6.3 Filtering Data for Insight

6.4 Model Fitting, Visualization, and What-If Analysis

6.5 Summary

The previous chapter focused on problem-solving when you have one or two columns of interest. This chapter builds on the previous chapter’s framework for problem-solving and introduces a method to understand multiple column and group relationships.

We introduce advanced analytics including Partition, Fit Model, and Prediction Profiler to help us understand the multi-column/variable relationships in the data. Most real-world problems involve more than one- or two-column relationships, so these methods will usually be needed for any real data analysis ...