If you run PCA on standardized (centered and scaled) data, then this matrix is the same as the loadings matrix.

If, however, you run PCA on the centered data, then the loadings matrix is the covariance of the variables with the eigenvectors. In that case, you might want to look at a correlation matrix to make it easier to interpret the magnitudes of the loadings.

In the table below, each column represents one PC, and only PCs that were selected by the chosen selection method are displayed in this table.