This paper describes the initial development phase of a program based on a complex self-chosen assignment and the potential useful outcome. Furthermore it highlights paths to some eventually more sophisticated solution. Copy number variations (CNVs) are structural changes in the genome whose importance has become clear in recent years. Numerous case-control studies have examined the impact of these changes on common diseases, usually using statistical tests and needing large numbers of participants to detect some weak effects. Due to the technical and biological conditions, huge amounts of data are generated and processed by specialized programs. PennCNV is a typical representative of this class. It is used to generate lists of specific copy number variations from the raw date supplied by microarrays. This Information is then usually subjected to various statistical tests. With the "PennCNV Project Visualizer" it was tried to achieve a unusual visualization of the entire cohort of participants. The visualization per dataset is centered on a ‘per chromosome view’. All found copy number variations of the participants are added up in their right genomic position. A kind of grouping in affected versus controls, both for the increase of genetic information (GAIN) as well as the loss of this (LOSS) is realized.