This work focuses on methods of data exploration using the mutual information and other related information measures. In particular, the author proposes a method to discover pairwise correlations among variables and to classify them into clusters. The master thesis presents the work done by the author during her internship in Tetra Pak. The core products of the company are the filling machines. The performance of a machine which fills shelf-stable food packages is called the aseptic performance and is defined by the long-run ratio between the number of not commercially sterile packages and the total number of packages filled by the machine.