4 June 2010
Visualization is a crucial part of data manipulation. However, exploring interactively complex visualizations of large amounts of information is not easy. To navigate through highly dimensional data the user needs easily used tools to discover patterns and correlations. We are proposing several simple and intuitive user-interface elements based on drag-and-drop to help the user discover correlations in multi-dimensional data sets. The UI allows the user to (a) assign colors to entities according to values of their attributes, (b) drag-and-drop colors between different views displaying entity attributes and (c) drag-and-drop data selections between views. We exploit functional relationships in the underlying data model to transport colors between views in a sound way.