Introduction to graphical multivariate EDA

As you may have guessed, multivariate EDA involves more than two variables. Here is where you will definitely get creative. A great deal of practice and effort is needed, to use the visualization and numerical techniques we've talked about so far in novel and interesting ways.

Common multivariate EDA techniques include:

  • Coloring a scatter plot by categorical feature
  • Using another categorical variable in the boxplots
  • Conditional or lattice plots: dividing the analysis by different categories
  • Parallel plots
  • Heatmaps
  • Principal component analysis and related plots

There are, of course, many others that we don't have the space to cover here. We will just provide a few examples of multivariate EDA to ...

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