Machine Learning, Data Science, Data Visualisation, Linear Algebra, Math.
Eigenvalue for PC1 by definition is the sum of square of distances from each data point to centroid point along the direction of PC1. In other words, we first project the data points onto the line PC1, we then calculate the distance between each projected point (denoted as cross) and the centroid