The
3D PCA Plot
tab contains the following elements:
Principal components
can reveal key structure in a data set and which columns are similar, different, or outliers. They are the directions of maximal variability after adjusting for all previous components. This plot is a three-dimensional
scatterplot
of principal components computed on the input data. Each point represents a column in the input data set. You can spin the plot by clicking and dragging your mouse. Shift-click-throw to set it spinning automatically. You can change which principal components are plotted using the
variable
choosers at the bottom of the graph. The percentage of variability attributable to each principal component is included in parentheses after its name.
Note
: You can select multiple points in 3D PCA plots in one of two ways. Either, hold down the
<Shift>
key while you select points (the points will highlight once you have released the
<Shift>
key) or double-click and draw a box around the selected points (You must continue to press the left-mouse button after the second click until all of the points are selected.).