Question: can pca handle missing values?
Answer: Input to the PCA can be any set of numerical variables, however they should be scaled to each other and traditional PCA will not accept any missing data points. ... The components that explain 85% of the variance (or where the explanatory data is found) can be assumed to be the most important data points.