Correlate first principal component (applied PCA to imputed dataset) with original ratings (with missing values). - first component explained 60% of variance - second component: 18% variance ![[correlation_pc1.png]] # distributions ![[histograms_pc1 1.png]] # relationships - pc1 and original ratings (with missing values) ![[pc1.png]]