ABSTRACT
Before describing visual analytics it is important to mention the most important concepts in the field of visualization. Information visualization is the scientific field that deals with studies and researches the visual representation of abstract data. Performance evaluation explores how fast the individual algorithms are and whether certain algorithmic scalability issues might occur that make real-time interactions hard to be applied. Data is the core ingredient of information visualization as we know it as a means to find patterns and correlations, and to derive meaning and knowledge, for example to understand a list of statistical values or the relationships between a group of people. The field of visualization has also gained even more popularity than before due to the power and incredible exactness of programs that can create diagrams of more and more data at even faster rates.
