This thesis is part of a project called PanelCheck which involves creation of a software tool. A statistical method called Manhattan plot has been implemented in this software tool, which is applied for visualization of performance of assessors from sensory panels. There is background on the methodology of the Manhattan plot and an example on usage is presented using sensory data of a cheese experiment. There is information about the software packages used for creation of the application and information on the design of the application. This together with examples on usage of the software packages for getting started on development for PanelCheck, more specifically for getting started on implementation of a new plot module. Additionally there has been focus on efficiency, especially concerning numerical computing.