Visual task characterization for automated visual discourse synthesis
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Information Visualization and Visual Data Mining
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Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data
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The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
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INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
Parallel coordinates: a tool for visualizing multi-dimensional geometry
VIS '90 Proceedings of the 1st conference on Visualization '90
VIS '91 Proceedings of the 2nd conference on Visualization '91
Tree-Maps: a space-filling approach to the visualization of hierarchical information structures
VIS '91 Proceedings of the 2nd conference on Visualization '91
Trajectory-based visual analysis of large financial time series data
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Supporting display scalability by redundant mapping
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Feeling the pulse of a wiki: visualization of recent changes in Wikipedia
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Companies trading stocks need to store information on stock prices over specific time intervals, which results in very large databases. Large quantities of numerical data (thousands of records) are virtually impossible to understand quickly and require the use of a visual model, since that is the fastest way for a human brain to absorb those enormous collections of data. However, little work has been done on verifying which visualizations are more suitable to represent these data sets. Such work is of crucial importance, since it enables us to identify those useful visual models and, in addition, opens our minds to new research possibilities. This paper presents an empirical study of different visualizations, that have been employed for stock market data, by comparing the results obtained by all studied techniques in typical exploratory data analysis tasks. This work provides several research contributions to the design of advanced visual data exploration interfaces.