This paper firstly provides a general introduction in the most important aspects and ideas of VisualAnalytics. This multidisciplinary field focuses on the analytical reasoning of typically large and complex(often heterogeneous) data sets and combines techniques from interactive visualizations with computationalanalysis methods. Hereby, intuitive and efficient user interactions are a fundamental component which hasto be efficiently supported by any Visual Analytics system. This integration of interaction techniques intoboth visual representations and automatic analysis methods supports the human-information discourse andcan be realized in various ways which is discussed in the second part of the paper. We give examplesof possible applications of Visual Analytics from the domain of biological simulations and highlight theimportance and role of the human in the analysis loop.