ABSTRACT
Making data available in a visual form is of great interest in these days since the visual output generates a method to find patterns, correlations, and anomalies in a dataset. However, data comes in a variety of forms, consisting of individual and primitive or combined and complex data types, stored in different data formats, on local files or databases, accessible via a URL from the web, being static, dynamic, or even evolving in real-time at frequent update rates. Visualization is not good per se, the human users with their perceptual abilities decide if a certain task or task group can be solved reliably, or if at least some hints about the data patterns to be searched for can be provided by an interactive visualization tool. The biggest challenge from a programming perspective is to choose and to connect the right components in order to create a successfully running, efficient, and effective visualization tool.
