This visualization displays the ideological positions of legislators based on their voting records, projected into a two-dimensional coordinate space. Using R with the `rollcall` and `oc` functions, it performs optimal classification to map legislators onto two dimensions. The output shows each legislator's coordinates and volume measures, revealing clusters of similar voting behavior. The underlying data comes from 9 votes, with coordinates calculated through multidimensional scaling, enabling viewers to identify political groupings and outliers.