CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Seesoft-A Tool for Visualizing Line Oriented Software Statistics
IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
UIST '94 Proceedings of the 7th annual ACM symposium on User interface software and technology
BIRCH: an efficient data clustering method for very large databases
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Hierarchical parallel coordinates for exploration of large datasets
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
A linear algorithm for incremental digital display of circular arcs
Communications of the ACM
The information mural: a technique for displaying and navigating large information spaces
INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization
Efficient Cartogram Generation: A Comparison
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
HistoScale: An Efficient Approach for Computing Pseudo-Cartograms
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Give chance a chance: modeling density to enhance scatter plot quality through random data sampling
Information Visualization
IEEE Transactions on Visualization and Computer Graphics
Graphics of Large Datasets: Visualizing a Million (Statistics and Computing)
Graphics of Large Datasets: Visualizing a Million (Statistics and Computing)
A Taxonomy of Clutter Reduction for Information Visualisation
IEEE Transactions on Visualization and Computer Graphics
Intelligent Visual Analytics Queries
VAST '07 Proceedings of the 2007 IEEE Symposium on Visual Analytics Science and Technology
Advanced visual analytics interfaces
Proceedings of the International Conference on Advanced Visual Interfaces
Better drilling through sensor analytics: a case study in live operational intelligence
Proceedings of the Fifth International Workshop on Knowledge Discovery from Sensor Data
Visual boosting in pixel-based visualizations
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
imMens: real-time visual querying of big data
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
| Hi-index | 0.00 |
Scatter Plots are one of the most powerful and most widely used techniques for visual data exploration. A well-known problem is that scatter plots often have a high degree of overlap, which may occlude a significant portion of the data values shown. In this paper, we propose the generalized scatter plot technique, which allows an overlap-free representation of large data sets to fit entirely into the display. The basic idea is to allow the analyst to optimize the degree of overlap and distortion to generate the bestpossible view. To allow an effective usage, we provide the capability to zoom smoothly between the traditional and our generalized scatter plots. We identify an optimization function that takes overlap and distortion of the visualization into acccount. We evaluate the generalized scatter plots according to this optimization function, and show that there usually exists an optimal compromise between overlap and distortion. Our generalized scatter plots have been applied successfully to a number of real-world IT services applications, such as server performance monitoring, telephone service usage analysis and financial data, demonstrating the benefits of the generalized scatter plots over traditional ones.