In areas where the volume of data being produced far exceeds the current capacity to analyze it, attention is being focussed how best to address these challenges. Such areas include weather forecasting, the stock exchange, and security threats. Rapid analysis is needed in areas where immediate decisions need to be made based on the results of the analysis of the data. This has posed additional challenges for the analysis of the data and also its effective representation and display. The range and volume of data sources has increased over time, particularly those generating real-time data. One objective of such visual representations has been to capitalize on the bandwidth of the human visual system and maximize the power of human reasoning and cognition in order to be able to extract validated meaning and knowledge from data. Such data could also be explored interactively in order to concentrate on areas of particular interest. This was followed by the production of visualization facilities which enabled a wide range of data types to be processed and displayed.
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Subsequently, the development of computer software enabled the analysis and presentation of data according to a wide variety of presentation styles such as graphs, charts and statistical distributions.
Techniques were developed for drawings and paintings for the realistic presentation of objects, and 2D and 3D scenes. Before the invention of the computer and the graphics display they were produced manually, often according to well-established norms and traditions. Visual representations of data have a long history.
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