Both information visualization and statistics analyse high dimensional data, but these sciences provide different ways to explore datasets. While techniques of the former field provide graphics so that the user can visually detect patterns of interest, statistical algorithms apply the capabilities of computers to produce numerical reports from the data. Based on this observation a combination of techniques of both sciences can help to overcome their drawbacks. For this purpose a library was compiled that contains statistical routines, which are of high importance for information visualization techniques and allow a fast modification of their results, to integrate possible adaptations in the interactive visual data mining process.