Analysis of a database of genetic data from different species of rabbits.
The data set consisted of 45 allele attributes (two values each) from ~500 individuals. One of the main challenges turned out to be the preprocessing of the data, such as dealing with missing values or inaccurate measurements, which represented a large part of the data set.
From the many data analysis techniques tried, the most successful were Principal Component Analysis and Multidimensional Scaling for distinguishing wild rabbits from domestic ones. This shows that there is a significant genetic difference between these two groups, as opposed to the multiple species within each, that prove much harder to identify.