A methodology for modeling the values of Finnish citizens and Members of Parliament (MP) by combining voting advice application (VAA) data with the results of the 2011 parliamentary elections. The authors preprocess the qualitative VAA data into a high-dimensional matrix, which is then reduced to two principal components using Principal Component Analysis (PCA) for visualization.