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Using Multivariate Methods to Explore Data


See how to:    

  • Understand and use Multivariate Methods (PCA, Clustering and K-Means)
  • Determine common variation and meaningful groups of variables
  • Group records that have a large number of variables into smaller clusters of new variables based on common characteristics
  • Interpret correlations between variable pairs using Scatterplot Matrices, Color Maps on Correlations and Parallel Coordinate Plots
  • Use Local Data Filter to examine correlations for different categories
  • Standardize variables for analysis by putting them on same scale