Inspect3D provides a number of ways to visualize and interact with the results of PCA. An overview of all PCA visualizes can be found in Inspect3D PCA Graphs.

This page includes:

• Visualizing the variance explained by each PC individually;
• Visualizing the variance explained by each PC at each point in the signal's cycle;
• Scatter-plotting workspace scores in PC-space;
• Showing the distribution of scores by group for each PC;
• Visualizing the mean and extreme values that result from reconstructing the underlying data with each PC; and
• Visualizing how the signals can be reconstructed from the computed PCs.

For a step-by-step example of how to use Inspect3D to perform PCA on your data, see the PCA Tutorial.

For a step-by-step example of how to use Inspect3D to perform further statistical testing on PCA results, see the Tutorial: Run K-Means.

For a step-by-step example of processing and analyzing large data sets in Inspect3D and using PCA to distinguish between groups, see the Tutorial: Treadmill Walking In Healthy Individuals and the Tutorial: Analysis of Baseball Hitters.