Pca, Principal Components, Dimensionality Reduction, Eigenvectors, Eigenvalue.
the below example, variance for PC1 is eigenvalue for PC1. Great! Now we also know about eigenvalue. There is another metric that is often reported in the PCA and that is the percentage of variance explained by the principal component. In python, PCA has an attribute, pca.explained_variance_ratio