Output | Pattern Discovery | PCA 2D Row Scores

PCA 2D Row Scores
The PCA 2D Row Scores tab is shown below:
The PCA 2D Column Scores tab contains the following elements:
Study these elements to decipher patterns in the principal components. For example, look for clusters of points in the scatterplot matrix and parallel plot. Recall each component is a one-dimensional projection that maximizes variability unaccounted for by previous components. Note also the percent variation explained by each component.
Note: You can optionally use the JMP Rows menu to open a Data Filter or color the points by any variable of interest.