Chapter 4: Data Discovery with Multivariate Data
Use Tables to Explore Multivariate Data
Use Graphs to Explore Multivariate Data
Use Graph Builder to Examine Results of Analyses
Generate a Trellis Chart and Examine Results
Use Dynamic Linking to Explore Comparisons in a Small Data Subset
Return to Graph Builder to Sort and Visualize a Larger Data Set
Introduction
Most data sets in the real world are multivariate. That is, they contain more than two variables. Generally speaking, a data set can be viewed conceptually as shown in Figure 4.1, where the columns represent variables and the rows are objects. ...
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