In this paper, we have proposed a method to study the relationship between a given knowledge on a set of data (here, the birds' geographical position and the oligonucleotide frequencies in DNA sequences of species) and a specific organisation of these data, expressed by a taxonomic tree. Our approach can easily be adapted to other contexts. For example, if the organisation of the data results from an analysis based on a distance matrix (such as the ones performed by Neighbor joining, 31 Fitch-Margoliash, 32 …), the original distance matrix may be preferred to the taxonomic distance (such an approach may have been implemented for the bananaquit birds dataset). In fact, the procedure may be extended to the analysis of any kind of organisation of the data, given it is expressible as a distance matrix for which a 2D mapping makes sense.