Inspect3D provides a number of ways to visualize and interact with the results of Principal Component Analysis (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.