For the visualization of votings in the Bundestag I had to read in handwritten protocols of the sessions. These are unfortunately studded with typos, which is why I had to deal with different versions of one name. Because I wanted a quick solution and the effort was reasonable I just took care of it manually. But for larger projects this approach would not be feasible. So I had a look at what R would offer me for fuzzy string matching beyond good ol’ Levenshtein distance and came across a rather new package answering to the name of “stringdist” maintained by Mark van der Loo. To my pleasant surprise it offers not two, not three , but a variety of configurable algorithms for that purpose. But I have no idea what is for example the effective difference between a Jaccard distance and a cosine distance. So I played around a bit with them and finally came up with the idea of something like a slope graph showing the distances for alternations of one string – in this case “Cosmo Kramer” – just to get started and an idea about what’s going on and how different algorithms are affected by certain alternations.