An excellent summary paper, talking about Visual Analytics (VA), introducing the origins of the data overload challenge, describing the questions needed to be answer and the tasks needed to be performanced efficiently and effectively, defining the concept of VA and its goals, differentiating the scientic visual, inforvis, and VA, discussing the related areas (Visualization, Data management, Data analysis, Perception and cognition, HCI, and Infrastructure and evaluation) to VA, bringing a mantra to VA--"Analyze first, Show the Important, Zoom, filter and analyze further, Details on demand," listing Application challenges and Technical challenges, and at the end giving two vivid examples of VA.
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