6.2 Comparing Multiple Columns
6.3 Filtering Data for Insight
6.4 Model Fitting, Visualization, and What If Analysis
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 analytical methods 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 the Partition approach is warranted.
We also introduce the Data Filter ...